Gaia TAP
GAIA
ivo://esavo/gaia/tap
European Space Agency
Bruno Merin
esdc_leads@cosmos.esa.int
+34918131456
ESA, Gaia, Archive, ESAC
This service provides access to catalogues generated by the ESA Gaia mission hosted at the ESAC Science Data Centre
http://archives.esac.esa.int/gaia
https://gea.esac.esa.int/tap-server/tap
ADQL
2.0
2.1
ADQL 2.1
Returns a text representation of array dimensions
Parameters:
n: Input array.
Returns the requested element (second argument) of the provided array as first argument in the input
Parameters:
n: Input array.
position: array position of the element to be retrieved where position = 1 refers to the first array element
Returns the length of the requested array dimension
Parameters:
n: Input array.
dim: Input dimension.
Returns the number of dimensions of the array.
Parameters:
n: Input array.
Returns the astrometric parameter errors double array to be used as input for epoch_prop() function
Parameters:
e_ra_deg: Standard Error in Right Ascension (mas)
e_de_deg: Standard Error in Declination (mas)
e_plx: Standard Error in Parallax (mas)
e_pm_ra: Standard Error in Proper Motion in RA (mas/yr)
e_pm_de: Standard Error in Proper Motion in Dec (mas/yr)
de_ra: Correlation Coefficient RA/Dec
plx_ra: Correlation Coefficient Parallax/RA
pm_ra_ra: Correlation Coefficient Proper Motion in RA/RA
pm_de_ra: Correlation Coefficient Proper Motion in Dec/RA
plx_de: Correlation Coefficient Parallax/Dec
pm_ra_de: Correlation Coefficient Proper Motion in RA/Dec
pm_de_de: Correlation Coefficient, Proper Motion in Dec/Dec
pm_ra_plx: Correlation Coefficient Proper Motion in RA/Parallax
pm_de_plx: Correlation Coefficient, Proper Motion in Dec/Parallax
pm_de_pm_ra: Correlation Coefficient, Proper Motion in RA/Proper Motion in Dec
parallax: Parallax (mas)
radial_velocity: Radial Velocity (km/s)
e_rv: Standard Error in Radial Velocity (km/s)
Returns the astrometric parameters double array to be used as input for epoch_prop() function
Parameters:
ra: Right Ascension (deg)
de: Declination (deg)
parallax: Parallax (mas)
pm_ra: Proper Motion in Right Ascension (mas/yr)
pm_de: Proper Motion in Declination (mas/yr)
radial_velocity: Radial Velocity (km/s)
Returns the total number of elements in the array, or 0 if the array is empty.
Parameters:
n: Input array.
For an array of input conditions and results, return the first one found true.
Parameters:
default_value: Value to return if all conditions are false.
conditions: Input conditions array.
results: Input results array.
For an array of input conditions and results, return the first one found equal to input value.
Parameters:
input_value: Value to compare condition values with.
default_value: Value to return if none of condition_values equal input_value.
condition_values: Input results array.
results: Input results array.
Returns the first of its arguments that is not null
Parameters:
n: Nth input element.
For input tables, create a positional crossmatch for input radius and store it in a separate table.
Parameters:
table_schema_a: First table schema.
table_name_a: First table name.
table_schema_b: Second table schema.
table_name_b: Second table name.
radius: Crossmatch radius.
output_table_name: Output table name.
Returns a DATE value that represents the current date
Parameters:
Returns all six input parameters (ra,dec,parallax,pm_ra,pm_dec,radial_velocity) propagated at the new arbitrary input epoch. Please note that the input argument radial_velocity denotes radial velocity in km/s while the corresponding output quantity is the radial proper motion in mas/yr computed as radial_velocity * parallax / 4.740,470,464
Parameters:
astrometric_parameters: Array with the full six input parameters needed (ra[deg],dec[deg],plx[mas],pm_ra[mas/yr],pm_dec[mas/yr],pm_rv[mas/yr])
ref_epoch: Reference Julian Epoch
out_epoch: Final Julian Epoch
Returns all six input parameters (ra,dec,parallax,pm_ra,pm_dec,radial_velocity) propagated at the new arbitrary input epoch. Please note that the input argument radial_velocity denotes radial velocity in km/s while the corresponding output quantity is the radial proper motion in mas/yr computed as radial_velocity * parallax / 4.740,470,464
Parameters:
ra: Right Ascension (deg)
de: Declination (deg)
parallax: Parallax (mas)
pm_ra: Proper Motion in Right Ascension (mas/yr)
pm_de: Proper Motion in Declination (mas/yr)
radial_velocity: Radial Velocity (km/s)
ref_epoch: Reference Julian Epoch
out_epoch: Final Julian Epoch
Returns the propagated covariance matrix from the epoch_prop function
Parameters:
ra: Right Ascension (deg)
dec: Declination (deg)
parallax: Parallax (mas)
pm_ra: Proper Motion in Right Ascension (mas/yr)
pm_de: Proper Motion in Declination (mas/yr)
radial_velocity: Radial Velocity (km/s)
e_ra_deg: Standard Error in Right Ascension (mas)
e_de_deg: Standard Error in Declination (mas)
e_plx: Standard Error in Parallax (mas)
e_pm_ra: Standard Error in Proper Motion in RA (mas/yr)
e_pm_de: Standard Error in Proper Motion in Dec (mas/yr)
e_rv: Standard Error in Radial Velocity (km/s)
de_ra: Correlation Coefficient RA/Dec
plx_ra: Correlation Coefficient Parallax/RA
plx_de: Correlation Coefficient Parallax/Dec
pm_ra_ra: Correlation Coefficient Proper Motion in RA/RA
pm_ra_de: Correlation Coefficient Proper Motion in RA/Dec
pm_ra_plx: Correlation Coefficient Proper Motion in RA/Parallax
pm_de_ra: Correlation Coefficient Proper Motion in Dec/RA
pm_de_de: Correlation Coefficient, Proper Motion in Dec/Dec
pm_de_plx: Correlation Coefficient, Proper Motion in Dec/Parallax
pm_de_pm_ra: Correlation Coefficient, Proper Motion in RA/Proper Motion in Dec
ref_epoch: Reference Julian Epoch (yr)
out_epoch: Final Julian Epoch (yr)
Returns the error vector with the uncertainties associated to the propagated astrometric parameters plus the set of propagated correlation parameters
Parameters:
astrometric_parameters: Array with the full six input parameters needed (ra[deg],dec[deg],plx[mas],pm_ra[mas/yr],pm_dec[mas/yr],pm_rv[mas/yr])
astrometric_parameter_error: Array with the 21 covariance matrix elements (output from astrometric_parameter_error ADQL function)
ref_epoch: Reference Julian Epoch
out_epoch: Final Julian Epoch
Returns the error vector with the uncertainties associated to the propagated astrometric parameters plus the set of propagated correlation parameters
Parameters:
ra: Right Ascension (deg)
de: Declination (deg)
parallax: Parallax (mas)
pm_ra: Proper Motion in Right Ascension (mas/yr)
pm_de: Proper Motion in Declination (mas/yr)
radial_velocity: Radial Velocity (km/s)
e_ra_deg: Standard Error in Right Ascension (mas)
e_de_deg: Standard Error in Declination (mas)
e_plx: Standard Error in Parallax (mas)
e_pm_ra: Standard Error in Proper Motion in RA (mas/yr)
e_pm_de: Standard Error in Proper Motion in Dec (mas/yr)
e_rv: Standard Error in Radial Velocity (km/s)
de_ra: Correlation Coefficient RA/Dec
plx_ra: Correlation Coefficient Parallax/RA
pm_ra_ra: Correlation Coefficient Proper Motion in RA/RA
pm_de_ra: Correlation Coefficient Proper Motion in Dec/RA
plx_de: Correlation Coefficient Parallax/Dec
pm_ra_de: Correlation Coefficient Proper Motion in RA/Dec
pm_de_de: Correlation Coefficient, Proper Motion in Dec/Dec
pm_ra_plx: Correlation Coefficient Proper Motion in RA/Parallax
pm_de_plx: Correlation Coefficient, Proper Motion in Dec/Parallax
pm_de_pm_ra: Correlation Coefficient, Proper Motion in RA/Proper Motion in Dec
ref_epoch: Reference Julian Epoch (yr)
out_epoch: Final Julian Epoch (yr)
Returns the new position (ra,dec) of the source at the new arbitrary input epoch
Parameters:
ra: Right Ascension (deg)
de: Declination (deg)
parallax: Parallax (mas)
pm_ra: Proper Motion in Right Ascension (mas/yr)
pm_de: Proper Motion in Declination (mas/yr)
radial_velocity: Radial Velocity (km/s)
ref_epoch: Reference Julian Epoch
out_epoch: Final Julian Epoch
Select the largest value among given arguments.
Parameters:
v1: First argument.
v2: Second argument.
If input condition is true, return output value. Otherwise return default value.
Parameters:
condition: Value to compare to true.
ouput_value: Value to return if condition is true.
default_value: Value to return if condition is false.
Select the smallest value among given arguments.
Parameters:
v1: First argument.
v2: Second argument.
The function returns the first n characters in the string.
Parameters:
string: a string from which a number of the leftmost characters is returned.
n: an integer that specifies the number of left-most characters in the string should be returned. If n is negative, the function returns the leftmost characters in the string but last |n| (absolute) characters.
The function returns the number of characters in the string.
Parameters:
string: the string that you want to calculate its length.
Returns a null value if value1 equals value2; otherwise it returns value1.
Parameters:
value1: Input value 1.
value2: Input value 2.
The function returns the location of a substring in a string.
Parameters:
substring: the string that you want to locate.
string: the string for which the substring is searched.
Returns the radial velocity in units of mas/yr
Parameters:
pm_rv: Radial proper motion (mas/yr)
parallax: Parallax (mas)
The function returns the last n characters in a string.
Parameters:
string: a string from which a number of the rightmost characters is returned.
n: an integer that specifies the number of right-most characters in the string should be returned. If n is negative, the function returns all characters in the string but first |n| (absolute) characters.
Standard deviation.
Parameters:
n: Input value.
The function returns a part of string.
Parameters:
string: the string that you want to get a part extracted.
length: a positive integer that determines the number of characters that you want to extract from the string beginning at start_position. If the sum of start_position and length is greater than the number of characters in the string, the substring function returns the whole string beginning at start_position. The length parameter is optional. If you omit the length parameter, the substring function returns the whole string started at start_position.
start_position: an integer that specifies where you want to extract the substring. If start_position equals zero, the substring starts at the first character of the string. The start_position can be only positive
Converts input value to BIGINT type.
Parameters:
n: Input value.
Converts input value to BOOLEAN type.
Parameters:
n: Input value.
Converts input value to VARCHAR type.
Parameters:
n: Input value.
Converts input value to DOUBLE type.
Parameters:
n: Input value.
Converts input value to INTEGER type.
Parameters:
n: Input value.
Converts input value to REAL type.
Parameters:
n: Input value.
Converts input value to SMALLINT type.
Parameters:
n: Input value.
The function performs several single-character, one-to-one translation in one operation.
Parameters:
string: the string subjected to translation.
from: a set of characters in the first argument (_string_) that should be replaced.
to: a set of characters that replaces the _from_ in the _string_.
removes the longest string that contains a specific character from a string. By default, the function removes spaces if you don’t specify explicitly which character you want to remove.
Parameters:
characters: optional parameter that defines a literal specifying explicitly which characters you want to remove in the string. Accepted literals are: LEADING, TRAILING and BOTH. Example of use: TRIM(BOTH, string)
string: the string for which the removal is requested. Mandatory parameter: example of use: TRIM(string)
Returns the corrected flux excess factor, denoted C*. This quantity, defined in Riello et al. (2021) for Gaia DR3 and Riello et al. (2026) for Gaia DR4, is constructed to be "close to" zero, with positive values indicating that the source has more flux in BP and RP combined than in the G-band and vice versa for negative values.
Parameters:
phot_g_mean_flux: mean G flux in electron.s**-1
phot_bp_mean_flux: mean BP flux in electron.s**-1
phot_rp_mean_flux: mean RP flux in electron.s**-1
bp_rp: BP-RP colour index
data_release: Gaia DR3 ("Gaia DR3", "DR3", "3") or Gaia DR4 ("Gaia DR4", "DR4", "4")
Returns the q3c ipix (Koposov and Bartunov, 2006) for a long/lat pair (it simply wraps the q3c_angpix function).
Parameters:
long: The longitude to compute the ipix for.
lat: The latitude to compute the ipix for.
Returns the new position (ra,dec) of the source at the new arbitrary input epoch
Parameters:
ra: Right Ascension (deg)
de: Declination (deg)
parallax: Parallax (mas)
pm_ra: Proper Motion in Right Ascension (mas/yr)
pm_de: Proper Motion in Declination (mas/yr)
radial_velocity: Radial Velocity (km/s)
ref_epoch: Reference Julian Epoch
out_epoch: Final Julian Epoch
The function transforms ADQL geometries between various reference systems.
Parameters:
from_sys: name of the source reference system.
to_sys: name of the target reference system.
geo: an ADQL geometry (POINT, CIRCLE, POLYGON).
The function returns 1 if, compared case-insensitively, the second argument is in the list of words encoded in the first argument, 0 otherwise.
Parameters:
hashlist: A string containing hash-separated terms.
item: A string containing a single term not containing a hash.
Returns 1 if all tokens from the string needle are contained (in some sense) in the string haystack, 0 otherwise.
Parameters:
needle: A string to locate in haystack.
haystack: A text to match needle in.
This aggregate function returns a histogram of val with nbins+2 elements. Assuming 0-based arrays, results[0] contains the number of underflows (i.e., val < lower), result[nbins+1] the number of overflows. Elements 1…nbins are the counts in nbins bins of width (upper−lower)/nbins. Clients will have to convert back to physical units using some external communication, as there currently is no (meta-) data as lower and upper in the TAP response.
Parameters:
val: the value to bin.
lower: the lower limit of the histogram
upper: the upper limit of the histogram
nbins: the number of "natural" bins in the histogram.
Function returns 1 if the interval [a1…b1] overlaps with the interval [a2…b2].
Parameters:
a1: The lower bound of the first interval.
b1: The upper bound of the first interval.
a2: The lower bound of the second interval.
b2: The upper bound of the second interval.
Evaluates value ILIKE pattern, i.e., pattern is defined as for the SQL LIKE operator, but the match is performed case-insensitively.
Parameters:
value: A string-valued SQL expression.
pattern: A SQL pattern for LIKE evaluation.
Returns a random number drawn from a normal distribution.
Parameters:
mu: The mean of the normal distribution.
sigma: The width of the normal distribution..
Queries Simbad for an identifier and returns the corresponding point.
Parameters:
identifier: A string containing an identifier Simbad can resolve.
An aggregate function returning all values of expression concatenated with delimiter.
Parameters:
expression: A SQL expression giving the strings to concatenate.
delimiter: A string used to concatenate the values of expression in each group.
Converts a timestamp to a Julian date.
Parameters:
d: The SQL timestamp to convert.
Converts a timestamp to modified Julian date.
Parameters:
d: The SQL timestamp to convert.
application/x-votable+xml
votable_gzip
application/x-votable+xml
votable
application/x-votable+xml
votable_plain
text/csv
csv
text/ecsv
ecsv
text/tab-separated-values
tsv
application/json
json
application/fits
fits
text/xml
votable_plain_conesearch
259200
259200
3600
3600
3000000
3000000
100000000
100000000
https://gea.esac.esa.int/tap-server/tap/availability
https://gea.esac.esa.int/tap-server/tap/tables
https://gea.esac.esa.int/tap-server/tap/examples/
https://gea.esac.esa.int/tap-server/tap/capabilities
external
TAP Schema for external catalogues
external.apassdr9
The AAVSO Photometric All Sky Survey (APASS) - Data Release 9. APASS is designed to bridge the gap between the shallow Tycho-2 two-bandpass photometric catalogue that is complete to V = 11 mag and deeper, but less spatially-complete catalogues like SDSS or Pan-STARRS. The APASS Data Release 9 contains approximately 62 million stars in about 99% of the sky. Data retrieved using the VizieR catalogue access tool, CDS, Strasbourg, France (VizieR catalogue: II/336). For more information, please visit the APASS homepage: https://www.aavso.org/apass. Reference paper: https://ui.adsabs.harvard.edu/abs/2015AAS...22533616H/abstract
recno
Record number assigned by the VizieR team. Should Not be used for identification. However, the lack of a unique ID in APASS has made the VizieR recno the de-facto source identifier. For instance, it is used as such in the Gaia DR2 cross-match tables.
meta.record
long
indexed
raj2000
Right ascension in decimal degrees (J2000)
deg
pos.eq.ra;meta.main
double
indexed
primary
dej2000
Declination in decimal degrees (J2000)
deg
pos.eq.dec;meta.main
double
indexed
primary
e_ra
[0/2.4] RA uncertainty
arcsec
stat.error;pos.eq.ra
float
e_dec
[0/2.4] DEC uncertainty
arcsec
stat.error;pos.eq.dec
float
field
[20110001/9999988888] Field name
meta.id;obs.field
long
nobs
[2/387] Number of observed nights
meta.number
short
mobs
[2/3476] Number of images for this field, usually nobs*5
meta.number
short
b_v
[-7.5/13]? B-V color index
mag
phot.color
float
indexed
primary
e_b_v
[0/10.1]? B-V uncertainty
mag
stat.error;phot.color
float
vmag
[5.5/27.4]? Johnson V-band magnitude
mag
phot.mag;em.opt.V
float
indexed
primary
e_vmag
[0/7]? Vmag uncertainty
mag
stat.error;phot.mag;em.opt.V
float
u_e_vmag
[0/1]? Uncertainty flag on e_Vmag (1)
meta.code.error
short
bmag
[5.4/27.3]? Johnson B-band magnitude
mag
phot.mag;em.opt.B
float
indexed
primary
e_bmag
[0/10]? Bmag uncertainty
mag
stat.error;phot.mag;em.opt.B
float
u_e_bmag
[0/1]? Uncertainty flag on e_Bmag (1)
meta.code.error
short
g_mag
[5.9/24.2]? g'-band AB magnitude, Sloan filter
mag
phot.mag;em.opt.B
float
indexed
primary
e_g_mag
[0/9.7]? g'mag uncertainty
mag
stat.error;phot.mag;em.opt.B
float
u_e_g_mag
[0/1]? Uncertainty flag on e_g'mag (1)
meta.code.error
short
r_mag
[5.1/23.9]? r'-band AB magnitude, Sloan filter
mag
phot.mag;em.opt.R
float
indexed
primary
e_r_mag
[0/6.5]? r'mag uncertainty
mag
stat.error;phot.mag;em.opt.R
float
u_e_r_mag
[0/1]? Uncertainty flag on e_r'mag (1)
meta.code.error
short
i_mag
[4.2/29.1]? i'-band AB magnitude, Sloan filter
mag
phot.mag;em.opt.I
float
indexed
primary
e_i_mag
[0/9.6]? i'mag uncertainty
mag
stat.error;phot.mag;em.opt.I
float
u_e_i_mag
[0/1]? Uncertainty flag on e_i'mag (1)
meta.code.error
short
external.catwise2020
The CatWISE2020 Catalogue contains 1,890,715,640 sources over the entire sky selected from WISE and NEOWISE survey data at 3.4 and 4.6 micrometer (W1 and W2) collected from 7 January 2010 to 13 December 2018. This data set adds two years to that used for the CatWISE Preliminary Catalogue (Eisenhardt+, 2020, ApJS, 247, 69), bringing the total to six times as many exposures spanning over sixteen times as large a time baseline as the AllWISE catalogue. The other major change from the CatWISE Preliminary Catalogue is that the detection list for the CatWISE2020 Catalogue was generated using "crowdsource" software (Schlafly+, 2019, ApJS, 240, 30), while the CatWISE Preliminary Catalogue used the detection software used for AllWISE. These two factors result in roughly twice as many sources in the CatWISE2020 Catalogue. This table was created in May 2023 based on the VizieR version of the CatWISE2020 Catalogue (VizieR catalogue: II/365). The corrections to the astrometry (positions and proper motions) identified in Marocco+ (2021, ApJS, 253, 8) have been included by CDS/VizieR and are therefore also included in this table. Reference paper: https://ui.adsabs.harvard.edu/abs/2021ApJS..253....8M/abstract (DOI: 10.3847/1538-4365/abd805)
obj_id
Tile name + processing code + wphot index (source_id)
meta.id
char
indexed
primary
ra_icrs
Right ascension (ICRS) (1)
deg
pos.eq.ra;meta.main
double
indexed
primary
e_ra_icrs
[0/74.3] Uncertainty in ra (sigra)
arcsec
stat.error;pos.eq.ra
double
de_icrs
Declination (ICRS) (1)
deg
pos.eq.dec;meta.main
double
indexed
primary
e_de_icrs
[0/83.3] Uncertainty in dec (sigdec)
arcsec
stat.error;pos.eq.dec
double
name
Source name (JHHMMSS.ss+DDMMSS.s; <CWISE JHHMMSS.ss+DDMMSS.s> in Simbad) (source_name)
meta.id;meta.main
char
indexed
e_pos
[-25.7/44.2] Uncertainty cross-term (sigradec)
arcsec
stat.error
double
xpos
X-pixel coordinate in the unWISE full depth coadd (wx)
pix
pos.cartesian.x
double
ypos
Y-pixel coordinate in the unWISE full depth coadd (wy)
pix
pos.cartesian.y
double
sky_w1
[-98.2/4997]? Frame sky background value, band-1; in dn units (w1sky) (2)
ct
instr.background
double
e_sky_w1
[0.4/999]? Frame sky background value uncertainty; band-1 (w1sigsk) (2)
ct
stat.error
double
conf_w1
[0/999]? Frame sky confusion based on the UNC images; in dn units (w1conf) (2)
ct
instr.skyLevel
double
sky_w2
[-99/5000]? Frame sky background value, band-2; in dn (w2sky) (2)
ct
instr.background
double
e_sky_w2
[0.7/999]? Frame sky background value uncertainty; band-2 (w2sigsk) (2)
ct
stat.error
double
conf_w2
[0/999]? Frame sky confusion based on the UNC images; in dn units (w2conf) (2)
ct
instr.skyLevel
double
n_w1
[0/221]? Number of profile-fit flux measurements for source with SNR>=3, band 1 (w1NM)
meta.number
short
m_w1
[0/221]? Number of profile-fit flux measurements for source, band-1 (w1M)
meta.number
short
n_w2
[0/221]? Number of profile-fit flux measurements for source with SNR>=3, band-2 (w2NM)
meta.number
short
m_w2
[0/221]? Number of profile-fit flux measurements for source, band-2 (w2M)
meta.number
short
mjd
[55205/58465] Mean observation epoch (MeanObsMJD)
d
time.epoch
double
indexed
primary
ra_pm_deg
Right ascension (ICRS) at Ep=2015.4 (ra_pm) (3)
deg
pos.eq.ra
double
e_ra_pm_deg
[1e-4/99.94]? Uncertainty in ra_pm (sigra_pm)
arcsec
stat.error
double
de_pm_deg
Declination (ICRS) at Ep=2015.4 (dec_pm) (3)
deg
pos.eq.dec
double
e_de_pm_deg
[0/99.8]? Uncertainty in dec_pm (sigdec_pm)
arcsec
stat.error
double
e_pos_pm
[-99.2/99.9]? Uncertainty cross-term (sigradec_pm)
arcsec
stat.error
double
pm_ra
[-100/100] Proper motion in ra (PMRA) (1)
arcsec/yr
pos.pm;pos.eq.ra
double
e_pm_ra
[7e-4/1000] Uncertainty in PMRA (sigPMRA)
arcsec/yr
stat.error;pos.pm;pos.eq.ra
double
pm_de
[-100/100] Proper motion in dec (PMDec) (1)
arcsec/yr
pos.pm;pos.eq.dec
double
e_pm_de
[7e-4/1000] Uncertainty in PMDec (sigPMDec)
arcsec/yr
stat.error;pos.pm;pos.eq.dec
double
snr_w1pm
[0/1000]? Flux S/N ratio; band-1 (w1snr_pm)
stat.snr
double
snr_w2pm
[0/1000]? Flux S/N ratio; band-2 (w2snr_pm)
stat.snr
double
fw1pm
[-1.2e8/2e14]? WPRO raw flux, band-1 (W1, 3.35um) in dn units (w1flux_pm)
ct
phot.mag;em.IR.3-4um
double
e_fw1pm
[3.7e-4/3.5e12]? WPRO raw flux uncertainty; band-1 (w1sigflux_pm)
ct
stat.error
double
fw2pm
[-4.8e8/2e10]? WPRO raw flux, band-2 (W2, 4.6um); in dn units (w2flux_pm)
ct
phot.mag;em.IR.4-8um
double
e_fw2pm
[1e-4/3.2e13]? Fit WPRO raw flux uncertainty; band-2 (w2sigflux_pm)
ct
stat.error
double
w1mpro_pm
[-10/27]? WPRO magnitude in band-1 (W1: 3.35um) (w1mpro_pm) (4)
mag
phot.mag;em.IR.3-4um
double
indexed
primary
e_w1mpro_pm
[0/0.6]? W1mproPM uncertainty (w1sigmpro_pm)
mag
stat.error
double
chi2_w1pm
[8.3e-7/6.4e21]? WPRO reduced chi^2^; band-1 (w1rchi2_pm)
stat.fit.chi2
double
w2mpro_pm
[-10/25.5]? WPRO magnitude in band-2 (W2: 4.6um) (w2mpro_pm) (4)
mag
phot.mag;em.IR.4-8um
double
indexed
primary
e_w2mpro_pm
[0/0.6]? W2mproPM uncertainty (w2sigmpro_pm)
mag
stat.error
double
chi2_w2pm
[2.6e-6/375600]? WPRO reduced chi^2^; band-2 (w2rchi2_pm)
stat.fit.chi2
double
chi2pm
[8.3e-7/92260]? Reduced chi squared; total (rchi2_pm)
stat.fit.chi2
double
pm_qual
Quality of the PM solution (pmcode) (5)
meta.code.qual
char
dist
[0/20]? Radial distance between apparitions (dist)
arcsec
phys.angSize
double
d_w1mpro
[-9.2/9.3]? W1mpro difference (dw1mag)
mag
phot.mag;arith.diff
double
chi2d_w1mpro
[0/100]? Chi-square for dw1mag (1 DF) (rch2w1)
meta.note
double
d_w2mpro
[-9.4/10.2]? W2mpro difference (dw2mag)
mag
phot.mag;arith.diff
double
chi2d_w2mpro
[0/100]? Chi-square for dw2mag (1 DF) (rch2w2)
meta.note
double
elon_avg
? Averaged ecliptic longitude (elon_avg)
deg
pos.ecliptic.lon
double
e_elon_avg
[0.001/1.6]? One-sigma uncertainty in elon (elonSig)
arcsec
stat.error
double
elat_avg
? Averaged ecliptic latitude (elat_avg)
deg
pos.ecliptic.lat
double
e_elat_avg
[0.001/1.7]? One-sigma uncertainty in elat (elatSig)
arcsec
stat.error
double
d_elon
? Descending-ascending ecliptic longitude (Delon) (6)
arcsec
pos;arith.diff
double
e_d_elon
[0.001/101.5]? One-sigma uncertainty in Delon (DelonSig)
arcsec
stat.error
double
d_elat
? Descending-ascending ecliptic latitude (Delat)
arcsec
pos;arith.diff
double
e_d_elat
[0.001/105.8]? One-sigma uncertainty in Delat (DelatSig)
arcsec
stat.error
double
snrd_elon
[0/1065]? |Delon|/DelonSig (DelonSNR)
stat.snr
double
snrd_elat
[0/475]? |Delat|/DelatSig (DelatSNR)
stat.snr
double
chi2pm_ra
[0/7.3e7]? Chi-square for PMRA difference (1 DF) (chi2pmra)
meta.note
double
chi2pm_de
[0/2.2e8]? Chi-square for PMRA difference (1 DF) (chi2pmdec)
meta.note
double
ka
[0123n] Astrometry usage code (7)
meta.code
char
k1
[0123n] W1 photometry usage code (7)
meta.code
char
k2
[0123n] W2 photometry usage code (7)
meta.code
char
km
[0123n] Proper motion usage code (7)
meta.code
char
plx1
[-831/569]? Parallax from PM desc-asce elon (par_pm)
arcsec
pos.parallax.trig
double
e_plx1
[0.001/53]? One-sigma uncertainty in par_pm (par_pmSig)
arcsec
stat.error
double
plx2
[-831/504]? Parallax estimate from stationary solution (par_stat)
arcsec
pos.parallax.trig
double
e_plx2
[0.001/189]? One-sigma uncertainty in par_stat (par_sigma)
arcsec
stat.error
double
sep
[0/2.75]? Distance between CatWISE and AllWISE source (dist_x)
arcsec
pos.angDistance
double
ccf
[0DHOPdhop] Worst case 4 character cc_flag from AllWISE (cc_flags) (8)
meta.code
char
abf
[0DHOP] Two character (W1 W2) artifact flag (ab_flags) (8)
meta.code
char
external.gaiadr2_astrophysical_parameters
Astrophysical parameters from Gaia DR2, 2MASS, and AllWISE. This is a catalogue of astrophysical parameters for 123,076,271 stars derived by exploiting the power of multi-wavelength and multi-survey observations from Gaia DR2 parallaxes and integrated photometry along with 2MASS and AllWISE photometry. Provided are estimates of log age, log mass, log temperature, log luminosity, log surface gravity, distance modulus, dust extinction (A0), and average grain size (R0) along the lines of sight. In contrast to other catalogues, weakly informative priors were used instead of a Galactic model. The estimates and uncertainties are quantiles, so they are invariant under monotonic transformations (e.g., log, exp). This means that one can use the median estimate to obtain the median distance or temperature, for instance, and likewise for the uncertainties. Data replicated from the gdr2ap.main table at the GAVO Data Centre TAP service https://dc.g-vo.org/tap and TAP metadata as of January 2022. Reference paper: https://ui.adsabs.harvard.edu/abs/2022A%26A...662A.125F/abstract (DOI: 10.1051/0004-6361/202141828)
source_id
Unique source identifier. Note that this *cannot* be matched against the DR1 source_id.
meta.id;meta.main
long
indexed
a0_best
multivariate maximum posterior estimate for the dust exctinction A₀ towards this source.
mag
phys.absorption
float
a0_p50
median of the distribution of dust exctinction A₀ towards this source.
mag
phys.absorption;stat.median
float
indexed
a0_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the dust exctinction A₀ towards this source. In ADQL, write a0_dist[1] for the minimum, a0_dist[2] for the 16th percentile, and so on.
mag
stat;phys.absorption
float
r0_best
multivariate maximum posterior estimate for the average dust grain size extinction parameter.
phys.absorption
float
r0_p50
median of the distribution of average dust grain size extinction parameter.
phys.absorption;stat.median
float
indexed
r0_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the average dust grain size extinction parameter. In ADQL, write r0_dist[1] for the minimum, r0_dist[2] for the 16th percentile, and so on.
stat;phys.absorption
float
loga_best
multivariate maximum posterior estimate for the log10 of the age.
log(yr)
time.age
float
loga_p50
median of the distribution of log10 of the age.
log(yr)
time.age;stat.median
float
indexed
loga_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log10 of the age. In ADQL, write loga_dist[1] for the minimum, loga_dist[2] for the 16th percentile, and so on.
log(yr)
stat;time.age
float
logl_best
multivariate maximum posterior estimate for the log10 of the luminosity.
log(solLum)
phys.luminosity
float
logl_p50
median of the distribution of log10 of the luminosity.
log(solLum)
phys.luminosity;stat.median
float
indexed
logl_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log10 of the luminosity. In ADQL, write logl_dist[1] for the minimum, logl_dist[2] for the 16th percentile, and so on.
log(solLum)
stat;phys.luminosity
float
logm_best
multivariate maximum posterior estimate for the log10 of the mass.
log(solMass)
phys.mass
float
logm_p50
median of the distribution of log10 of the mass.
log(solMass)
phys.mass;stat.median
float
indexed
logm_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log10 of the mass. In ADQL, write logm_dist[1] for the minimum, logm_dist[2] for the 16th percentile, and so on.
log(solMass)
stat;phys.mass
float
logt_best
multivariate maximum posterior estimate for the log10 of the effective temperature.
log(K)
phys.temperature
float
logt_p50
median of the distribution of log10 of the effective temperature.
log(K)
phys.temperature;stat.median
float
indexed
logt_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log10 of the effective temperature. In ADQL, write logt_dist[1] for the minimum, logt_dist[2] for the 16th percentile, and so on.
log(K)
stat;phys.temperature
float
logg_best
multivariate maximum posterior estimate for the log10 of the surface gravity.
log(cm/s**2)
phys.gravity
float
logg_p50
median of the distribution of log10 of the surface gravity.
log(cm/s**2)
phys.gravity;stat.median
float
indexed
logg_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log10 of the surface gravity. In ADQL, write logg_dist[1] for the minimum, logg_dist[2] for the 16th percentile, and so on.
log(cm/s**2)
stat;phys.gravity
float
a_bp_best
multivariate maximum posterior estimate for the attenuation in the Gaia BP band towards this source..
mag
phys.absorption;em.opt.B
float
a_bp_p50
median of the distribution of attenuation in the Gaia BP band towards this source..
mag
phys.absorption;em.opt.B;stat.median
float
a_bp_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the attenuation in the Gaia BP band towards this source.. In ADQL, write a_bp_dist[1] for the minimum, a_bp_dist[2] for the 16th percentile, and so on.
mag
stat;phys.absorption;em.opt.B
float
a_g_best
multivariate maximum posterior estimate for the attenuation in the Gaia G band towards this source..
mag
phys.absorption;em.opt
float
a_g_p50
median of the distribution of attenuation in the Gaia G band towards this source..
mag
phys.absorption;em.opt;stat.median
float
a_g_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the attenuation in the Gaia G band towards this source.. In ADQL, write a_g_dist[1] for the minimum, a_g_dist[2] for the 16th percentile, and so on.
mag
stat;phys.absorption;em.opt
float
a_rp_best
multivariate maximum posterior estimate for the attenuation in the Gaia RP band towards this source..
mag
phys.absorption
float
a_rp_p50
median of the distribution of attenuation in the Gaia RP band towards this source..
mag
phys.absorption;stat.median
float
a_rp_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the attenuation in the Gaia RP band towards this source.. In ADQL, write a_rp_dist[1] for the minimum, a_rp_dist[2] for the 16th percentile, and so on.
mag
stat;phys.absorption
float
mag_bp
Recalibrated Gaia BP magnitude.
mag
phot.mag;em.opt.B
float
err_bp
Recalibrated error from original Gaia BP magnitude.
mag
stat.error;phot.mag;em.opt.B
float
bp_best
multivariate maximum posterior estimate for the Gaia BP magnitude.
mag
phot.mag;em.opt.B
float
bp_p50
median of the distribution of Gaia BP magnitude.
mag
phot.mag;em.opt.B;stat.median
float
bp_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the Gaia BP magnitude. In ADQL, write bp_dist[1] for the minimum, bp_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.opt.B
float
mag_g
Recalibrated Gaia G magnitude.
mag
phot.mag;em.opt
float
err_g
Recalibrated error from original Gaia G magnitude.
mag
stat.error;phot.mag;em.opt
float
g_best
multivariate maximum posterior estimate for the Gaia G magnitude.
mag
phot.mag;em.opt
float
g_p50
median of the distribution of Gaia G magnitude.
mag
phot.mag;em.opt;stat.median
float
g_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the Gaia G magnitude. In ADQL, write g_dist[1] for the minimum, g_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.opt
float
mag_rp
Recalibrated Gaia RP magnitude.
mag
phot.mag;em.opt.R
float
err_rp
Recalibrated error from original Gaia RP magnitude.
mag
stat.error;phot.mag;em.opt.R
float
rp_best
multivariate maximum posterior estimate for the Gaia RP magnitude.
mag
phot.mag;em.opt.R
float
rp_p50
median of the distribution of Gaia RP magnitude.
mag
phot.mag;em.opt.R;stat.median
float
rp_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the Gaia RP magnitude. In ADQL, write rp_dist[1] for the minimum, rp_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.opt.R
float
mag_j
Recalibrated 2MASS J magnitude.
mag
phot.mag;em.IR.J
float
err_j
Recalibrated error from original 2MASS J magnitude.
mag
stat.error;phot.mag;em.IR.J
float
j_best
multivariate maximum posterior estimate for the 2MASS J magnitude.
mag
phot.mag;em.IR.J
float
j_p50
median of the distribution of 2MASS J magnitude.
mag
phot.mag;em.IR.J;stat.median
float
j_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the 2MASS J magnitude. In ADQL, write j_dist[1] for the minimum, j_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.IR.J
float
mag_h
Recalibrated 2MASS H magnitude.
mag
phot.mag;em.IR.H
float
err_h
Recalibrated error from original 2MASS H magnitude.
mag
stat.error;phot.mag;em.IR.H
float
h_best
multivariate maximum posterior estimate for the 2MASS H magnitude.
mag
phot.mag;em.IR.H
float
h_p50
median of the distribution of 2MASS H magnitude.
mag
phot.mag;em.IR.H;stat.median
float
h_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the 2MASS H magnitude. In ADQL, write h_dist[1] for the minimum, h_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.IR.H
float
mag_ks
Recalibrated 2MASS Ks magnitude.
mag
phot.mag;em.IR.K
float
err_ks
Recalibrated error from original 2MASS Ks magnitude.
mag
stat.error;phot.mag;em.IR.K
float
ks_best
multivariate maximum posterior estimate for the 2MASS Ks magnitude.
mag
phot.mag;em.IR.K
float
ks_p50
median of the distribution of 2MASS Ks magnitude.
mag
phot.mag;em.IR.K;stat.median
float
ks_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the 2MASS Ks magnitude. In ADQL, write ks_dist[1] for the minimum, ks_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.IR.K
float
mag_w1
Recalibrated WISE W1 magnitude.
mag
phot.mag;em.IR.3-4um
float
err_w1
Recalibrated error from original WISE W1 magnitude.
mag
stat.error;phot.mag;em.IR.3-4um
float
w1_best
multivariate maximum posterior estimate for the WISE W1 magnitude.
mag
phot.mag;em.IR.3-4um
float
w1_p50
median of the distribution of WISE W1 magnitude.
mag
phot.mag;em.IR.3-4um;stat.median
float
w1_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the WISE W1 magnitude. In ADQL, write w1_dist[1] for the minimum, w1_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.IR.3-4um
float
mag_w2
Recalibrated WISE W2 magnitude.
mag
phot.mag;em.IR.4-8um
float
err_w2
Recalibrated error from original WISE W2 magnitude.
mag
stat.error;phot.mag;em.IR.4-8um
float
w2_best
multivariate maximum posterior estimate for the WISE W2 magnitude.
mag
phot.mag;em.IR.4-8um
float
w2_p50
median of the distribution of WISE W2 magnitude.
mag
phot.mag;em.IR.4-8um;stat.median
float
w2_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the WISE W2 magnitude. In ADQL, write w2_dist[1] for the minimum, w2_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag;em.IR.4-8um
float
dmod_best
multivariate maximum posterior estimate for the distance modulus.
mag
phot.mag.distMod
float
dmod_p50
median of the distribution of distance modulus.
mag
phot.mag.distMod;stat.median
float
dmod_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the distance modulus. In ADQL, write dmod_dist[1] for the minimum, dmod_dist[2] for the 16th percentile, and so on.
mag
stat;phot.mag.distMod
float
lnlike_best
multivariate maximum posterior estimate for the log likelihood of the solution (paper Eq. 1).
stat.likelihood
float
lnlike_p50
median of the distribution of log likelihood of the solution (paper Eq. 1).
stat.likelihood;stat.median
float
lnlike_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log likelihood of the solution (paper Eq. 1). In ADQL, write lnlike_dist[1] for the minimum, lnlike_dist[2] for the 16th percentile, and so on.
stat.likelihood
float
lnp_best
multivariate maximum posterior estimate for the log posterior of the solution (paper Eq. 2).
stat.probability
float
lnp_p50
median of the distribution of log posterior of the solution (paper Eq. 2).
stat.probability;stat.median
float
lnp_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log posterior of the solution (paper Eq. 2). In ADQL, write lnp_dist[1] for the minimum, lnp_dist[2] for the 16th percentile, and so on.
stat;stat.probability
float
log10jitter_best
multivariate maximum posterior estimate for the log photometric likelihood jitter common to all bands.
log(mag)
stat.param
float
log10jitter_p50
median of the distribution of log photometric likelihood jitter common to all bands.
log(mag)
stat.param;stat.median
float
log10jitter_dist
Distribution (min, p16, p25, p50, p75, p84, max) of the log photometric likelihood jitter common to all bands. In ADQL, write log10jitter_dist[1] for the minimum, log10jitter_dist[2] for the 16th percentile, and so on.
log(mag)
stat;stat.param
float
parallax
Recalibrated parallax.
mas
pos.parallax
float
err_parallax
Error in recalibrated parallax.
mas
stat.error;pos.parallax
float
external.gaiadr2_geometric_distance
Distances to 1.33 billion stars in Gaia Data Release 2. The catalogue provides distances estimates (and uncertainties therein) for 1.33 billion stars over the whole sky brighter than about G = 20.7 mag, estimated using the parallaxes (and their uncertainties) from Gaia Data Release 2. A Bayesian procedure was used involving a prior with a single scale-length parameter L(l,b), which varies smoothly with Galactic longitude l and latitude b according to a Galaxy model. The posterior is summarised with a point estimate (usually the mode) and a confidence interval (usually the 68% highest density interval). The estimation procedure is described in detail in the accompanying paper, which also analyses the catalogue content. The catalogue comprises 1.33 billion rows and seven columns. The accompanying paper explains under what circumstances the different estimates/modality occur. These should not be mixed in any statistical analyses. Around 99.9% of all sources have result_flag = 1 and modality_flag = 1. Reference paper: https://ui.adsabs.harvard.edu/abs/2018AJ....156...58B/abstract (DOI:10.3847/1538-3881/aacb21)
source_id
Gaia source identifier, identical to the Gaia-DR2 source_id.
meta.id;meta.main
long
indexed
primary
r_est
Estimated distance.
pc
pos.distance
double
indexed
primary
r_lo
Lower bound on the confidence interval of the estimated distance.
pc
stat.error;stat.min;pos.distance
double
indexed
primary
r_hi
Upper bound on the confidence interval of the estimated distance.
pc
stat.error;stat.max;pos.distance
double
indexed
primary
r_len
Length scale used in the prior for the distance estimation.
pc
stat.fit.param;pos.distance
double
primary
result_flag
Type of result. Three possible values: 0 = failed estimate (r_est, r_lo, r_hi are all null) ; 1 = r_est is the mode (highest if the posterior is bimodal); r_lo/r_hi define the lower/upper limits of the highest density interval (HDI) containing 68% of the posterior probability ; 2 = r_est is the median; r_lo/r_hi define the lower/upper limits of the equal-tailed interval (ETI), containing 68% of the posterior probability.
meta.code.qual
short
primary
modality_flag
Result regime flag: number of modes in the posterior (1 or 2).
meta.code
short
primary
external.gaiaedr3_distance
Estimating distances from parallaxes: Geometric and photogeometric distances to 1.47 billion stars in Gaia EDR3. The table contains stellar distance estimates to sources in Gaia EDR3 that have parallaxes. Provided are two types of distance estimates, together with their corresponding asymmetric uncertainties, using Bayesian posterior density functions that are sampled for each source. The prior is based on a detailed model of the 3D spatial, colour, and magnitude distribution of stars in our Galaxy that includes a 3D map of interstellar extinction. The first type of distance estimate is purely geometric, in that it only makes use of the Gaia parallax and parallax uncertainty. The second type is photogeometric: in addition to the parallax, it also uses the source's G-band magnitude and BP-RP colour. The distance estimate and uncertainties are quantiles, so are invariant under logarithmic transformations. This means that the median estimate of the distance can be used to give the median estimate of the distance modulus, and likewise for the uncertainties. Data replicated from gedr3dist.main table at GAVO Data Center TAP service https://dc.g-vo.org/tap and TAP metadata as of December 2020. Reference paper: https://ui.adsabs.harvard.edu/abs/2021AJ....161..147B/abstract (DOI: 10.3847/1538-3881/abd806)
source_id
Unique source identifier. Note that this *cannot* be matched against the DR1 or DR2 source_ids.
meta.id;meta.main
long
indexed
r_med_geo
The median of the geometric distance posterior. The geometric distance estimate.
pc
pos.distance
float
indexed
r_lo_geo
The 16th percentile of the geometric distance posterior. The lower 1-sigma-like bound on the confidence interval.
pc
pos.distance;stat.min
float
indexed
r_hi_geo
The 84th percentile of the geometric distance posterior. The upper 1-sigma-like bound on the confidence interval.
pc
pos.distance;stat.max
float
indexed
r_med_photogeo
The median of the photogeometric distance posterior. The photogeometric distance estimate.
pc
pos.distance
float
indexed
r_lo_photogeo
The 16th percentile of the photogeometric distance posterior. The lower 1-sigma-like bound on the confidence interval.
pc
pos.distance;stat.min
float
indexed
r_hi_photogeo
The 84th percentile of the photogeometric distance posterior. The upper 1-sigma-like bound on the confidence interval.
pc
pos.distance;stat.max
float
indexed
flag
Additional information on the solution. Do not use for filtering (see table note in the reference URL).
meta.code
char
external.gaiaedr3_gcns_main_1
The Gaia Catalogue of Nearby Stars (GCNS) is a catalogue of objects within 100 pc of the Sun based on Gaia EDR3. The catalogue is characterised using the full data release, and comparisons to other catalogues in literature and simulations. For all candidates, distance posterior probability densities are calculated using Bayesian procedures and mock catalogues to define priors. For each entry, sources with spurious astrometric solutions are removed using a random forest classifier. This results in a catalogue of 331,312 objects that is estimated to contain at least 92% of stars of stellar type M9 within 100 pc of the Sun (this table) and a catalogue containing 880,428 objects in the 8 mas sample that were rejected from the main GNCS as having a zero probability of being inside 100 pc or indicated as a spurious astrometric solution (table external.gaiaedr3_gcns_rejected_1). The data is replicated from the gcns.main table at GAVO Data Center TAP service https://dc.g-vo.org/tap and TAP metadata as of November 2021. Reference paper: https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract (DOI: 10.1051/0004-6361/202039498)
source_id
Gaia eDR3 unique source identifier. Note that this *cannot* be matched against the DR1 or DR2 source_ids.
meta.id;meta.main
long
indexed
primary
ra
ICRS right ascension from Gaia eDR3.
deg
pos.eq.ra;meta.main
double
indexed
primary
dec
ICRS declination from Gaia eDR3.
deg
pos.eq.dec;meta.main
double
indexed
primary
ra_error
Standard error of ra (with cos δ applied).
mas
stat.error;pos.eq.ra
float
dec_error
Standard error of dec
mas
stat.error;pos.eq.dec
float
parallax
Absolute barycentric stellar parallax of the source at the reference epoch J2016.0. If looking for a distance, consider joining with gedr3dist.main and using the distances from there.
mas
pos.parallax
float
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax
float
pmra
Proper motion in right ascension of the source in ICRS at J2016.0. This is the tangent plane projection of the proper motion vector in the direction of increasing right ascension.
mas/yr
pos.pm;pos.eq.ra
float
pmra_error
Standard error of pmra
mas/yr
stat.error;pos.pm;pos.eq.ra
float
pmdec
Proper motion in declination at J2016.0.
mas/yr
pos.pm;pos.eq.dec
float
pmdec_error
Standard error of pmdec
mas/yr
stat.error;pos.pm;pos.eq.dec
float
phot_g_mean_mag
Mean magnitude in the G band. This is computed from the G-band mean flux applying the magnitude zero-point in the Vega scale. To obtain error estimates, see phot_g_mean_flux_over_error.
mag
phot.mag;em.opt;stat.mean
float
phot_g_mean_flux_over_error
Integrated mean G flux divided by its error. Errors are computed from the dispersion about the weighted mean of the input calibrated photometry.
stat.snr;phot.flux;em.opt;stat.mean
float
phot_bp_mean_mag
Mean magnitude in the integrated BP band. This is computed from the BP-band mean flux applying the magnitude zero-point in the Vega scale. To obtain error estimates, see phot_bp_mean_flux_over_error.
mag
phot.mag;em.opt.B
float
phot_bp_mean_flux_over_error
Integrated mean BP flux divided by its error. Errors are computed from the dispersion about the weighted mean of the input calibrated photometry.
stat.snr;phot.flux;em.opt.B
float
phot_rp_mean_mag
Mean magnitude in the integrated RP band. This is computed from the RP-band mean flux applying the magnitude zero-point in the Vega scale. To obtain error estimates, see phot_rp_mean_flux_over_error.
mag
phot.mag;em.opt.R
float
phot_rp_mean_flux_over_error
Integrated mean RP flux divided by its error. Errors are computed from the dispersion about the weighted mean of the input calibrated photometry.
stat.snr;phot.flux;em.opt.R
float
phot_bp_rp_excess_factor
BP/RP excess factor estimated from the comparison of the sum of integrated BP and RP fluxes with respect to the flux in the G band. This measures the excess of flux in the BP and RP integrated photometry with respect to the G band. This excess is believed to be caused by background and contamination issues affecting the BP and RP data. Therefore a large value of this factor for a given source indicates systematic errors in the BP and RP photometry.
stat.fit.goodness
float
ruwe
Renormalized Unit Weight Error; this is a revised measure for the overall consistency of the solution as defined by GAIA-C3-TN-LU-LL-124-01. A suggested cut on this is RUWE <1.40) See the note for details.
stat.weight
float
ipd_frac_multi_peak
Percentage of distance windows in which a double peak was seen (high values mean high likelihood of a resolved double star).
meta.code.multip
short
adoptedrv
Adopted Radial Velocity
km/s
phys.veloc;pos.heliocentric
float
adoptedrv_error
Error in adopted RV
km/s
stat.error;phys.veloc;pos.heliocentric
float
adoptedrv_refname
Bibcode for the source of the radial velocity
meta.bib.bibcode
char
radial_velocity_is_valid
1 if this object has a radial velocity in eDR3, 0 otherwise
meta.code.qual
short
gcns_prob
Probability that the astrometry is reliable
stat.fit.goodness
float
primary
wd_prob
probability that this is a white dwarf.
stat.likelihood;src.class
float
dist_1
1st percentile of the distance PDF, used in GCNS selection
kpc
stat.value;pos.distance
float
dist_16
16th percentile of the distance PDF (1 σ lower bound)
kpc
stat.value;pos.distance
float
dist_50
Median of the distance PDF
kpc
pos.distance;stat.median
float
dist_84
84th percentile of the distance PDF (1 σ upper bound)
kpc
stat.value;pos.distance
float
xcoord_50
Median x coordinate in the Galactic frame assuming dist_50
pc
pos.cartesian.x;stat.median
float
xcoord_16
1 σ lower bound of Galactic frame x coordinate
pc
stat.value;pos.cartesian.x
float
xcoord_84
1 σ upper bound of Galactic frame x coordinate
pc
stat.value;pos.cartesian.x
float
ycoord_50
Median y coordinate in the Galactic frame assuming dist_50
pc
pos.cartesian.y;stat.median
float
ycoord_16
1 σ lower bound of Galactic frame y coordinate
pc
stat.value;pos.cartesian.y
float
ycoord_84
1 σ upper bound of Galactic frame y coordinate
pc
stat.value;pos.cartesian.y
float
zcoord_50
Median z coordinate in the Galactic frame assuming dist_50
pc
pos.cartesian.z;stat.median
float
zcoord_16
1 σ lower bound of Galactic frame z coordinate
pc
stat.value;pos.cartesian.z
float
zcoord_84
1 σ upper bound of Galactic frame z coordinate
pc
stat.value;pos.cartesian.z
float
uvel_50
Median velocity u in the Galactic frame, direction positive x
km/s
phys.veloc;pos.cartesian.x;stat.median
float
uvel_16
1 σ lower bound for u
km/s
stat.value;phys.veloc;pos.cartesian.x
float
uvel_84
1 σ upper bound for u
km/s
stat.value;phys.veloc;pos.cartesian.x
float
vvel_50
Median velocity v in the Galactic frame, direction positive y
km/s
phys.veloc;pos.cartesian.y;stat.median
float
vvel_16
1 σ lower bound for v
km/s
stat.value;phys.veloc;pos.cartesian.y
float
vvel_84
1 σ upper bound for v
km/s
stat.value;phys.veloc;pos.cartesian.y
float
wvel_50
Median velocity w in the Galactic frame, direction positive z
km/s
phys.veloc;pos.cartesian.z;stat.median
float
wvel_16
1 σ lower bound for w
km/s
stat.value;phys.veloc;pos.cartesian.z
float
wvel_84
1 σ upper bound for w
km/s
stat.value;phys.veloc;pos.cartesian.z
float
name_gunn
Object Name from PanSTARRS/SDSS/SkyMapper survey
meta.id.cross
char
refname_gunn
Reference for the source of the Gunn photometry
meta.bib.bibcode
char
gmag_gunn
Gunn G band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.V
float
e_gmag_gunn
Uncertainty in G band magnitude
mag
stat.error;phot.mag;em.opt.V
float
rmag_gunn
Gunn R band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.R
float
e_rmag_gunn
Uncertainty in R band magnitude
mag
stat.error;phot.mag;em.opt.R
float
imag_gunn
Gunn I band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.I
float
e_imag_gunn
Uncertainty in I band magnitude
mag
stat.error;phot.mag;em.opt.I
float
zmag_gunn
Gunn Z band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.I
float
e_zmag_gunn
Uncertainty in Z band magnitude
mag
stat.error;phot.mag;em.opt.I
float
name_2mass
Name of this object in 2MASS
meta.id.cross
char
j_m_2mass
2MASS J band magnitude
mag
phot.mag;em.IR.J
float
j_msig_2mass
Uncertainty in 2MASS J band magnitude
mag
stat.error;phot.mag;em.IR.J
float
h_m_2mass
2MASS H band magnitude
mag
phot.mag;em.IR.H
float
h_msig_2mass
Uncertainty in 2MASS H band magnitude
mag
stat.error;phot.mag;em.IR.H
float
k_m_2mass
2MASS K band magnitude
mag
phot.mag;em.IR.K
float
k_msig_2mass
Uncertainty in 2MASS K band magnitude
mag
stat.error;phot.mag;em.IR.K
float
name_wise
Name of this object in WISE
meta.id.cross
char
w1mpro_pm_wise
CATWISE W1 band magnitude
mag
phot.mag;em.IR.3-4um
float
w1sigmpro_pm_wise
Uncertainty in CATWISE W1 band magnitude
mag
stat.error;phot.mag;em.IR.3-4um
float
w2mpro_pm_wise
CATWISE W2 band magnitude
mag
phot.mag;em.IR.4-8um
float
w2sigmpro_pm_wise
Uncertainty in CATWISE W2 band magnitude
mag
stat.error;phot.mag;em.IR.4-8um
float
w3mpro_wise
CATWISE W3 band magnitude
mag
phot.mag;em.IR.8-15um
float
w3sigmpro_wise
Uncertainty in CATWISE W3 band magnitude
mag
stat.error;phot.mag;em.IR.8-15um
float
w4mpro_wise
ALLWISE W4 band magnitude
mag
phot.mag;em.IR.15-30um
float
w4sigmpro_wise
Uncertainty in ALLWISE W4 band magnitude
mag
stat.error;phot.mag;em.IR.15-30um
float
gncs_main_oid
int
indexed
external.gaiaedr3_gcns_rejected_1
The Gaia Catalogue of Nearby Stars (GCNS) is a catalogue of objects within 100 pc of the Sun based on Gaia EDR3. The catalogue is characterised using the full data release, and comparisons to other catalogues in literature and simulations. For all candidates, distance posterior probability densities are calculated using Bayesian procedures and mock catalogues to define priors. For each entry, sources with spurious astrometric solutions are removed using a random forest classifier. This results in a catalogue of 331,312 objects that is estimated to contain at least 92% of stars of stellar type M9 within 100 pc of the Sun (table external.gaiaedr3_gcns_main_1) and a catalogue containing 880,428 objects in the 8 mas sample that were rejected from the main GNCS as having a zero probability of being inside 100 pc or indicated as a spurious astrometric solution (this table). The data is replicated from the gcns.rejected table at GAVO Data Center TAP service https://dc.g-vo.org/tap and TAP metadata as of November 2021. Reference paper: https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract (DOI: 10.1051/0004-6361/202039498)
source_id
Gaia eDR3 unique source identifier. Note that this *cannot* be matched against the DR1 or DR2 source_ids.
meta.id;meta.main
long
indexed
primary
ra
ICRS right ascension from Gaia eDR3.
deg
pos.eq.ra;meta.main
double
indexed
primary
dec
ICRS declination from Gaia eDR3.
deg
pos.eq.dec;meta.main
double
indexed
primary
ra_error
Standard error of ra (with cos δ applied).
mas
stat.error;pos.eq.ra
float
dec_error
Standard error of dec
mas
stat.error;pos.eq.dec
float
parallax
Absolute barycentric stellar parallax of the source at the reference epoch J2016.0. If looking for a distance, consider joining with gedr3dist.main and using the distances from there.
mas
pos.parallax
float
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax
float
pmra
Proper motion in right ascension of the source in ICRS at J2016.0. This is the tangent plane projection of the proper motion vector in the direction of increasing right ascension.
mas/yr
pos.pm;pos.eq.ra
float
pmra_error
Standard error of pmra
mas/yr
stat.error;pos.pm;pos.eq.ra
float
pmdec
Proper motion in declination at J2016.0.
mas/yr
pos.pm;pos.eq.dec
float
pmdec_error
Standard error of pmdec
mas/yr
stat.error;pos.pm;pos.eq.dec
float
phot_g_mean_mag
Mean magnitude in the G band. This is computed from the G-band mean flux applying the magnitude zero-point in the Vega scale. To obtain error estimates, see phot_g_mean_flux_over_error.
mag
phot.mag;em.opt;stat.mean
float
phot_g_mean_flux_over_error
Integrated mean G flux divided by its error. Errors are computed from the dispersion about the weighted mean of the input calibrated photometry.
stat.snr;phot.flux;em.opt;stat.mean
float
phot_bp_mean_mag
Mean magnitude in the integrated BP band. This is computed from the BP-band mean flux applying the magnitude zero-point in the Vega scale. To obtain error estimates, see phot_bp_mean_flux_over_error.
mag
phot.mag;em.opt.B
float
phot_bp_mean_flux_over_error
Integrated mean BP flux divided by its error. Errors are computed from the dispersion about the weighted mean of the input calibrated photometry.
stat.snr;phot.flux;em.opt.B
float
phot_rp_mean_mag
Mean magnitude in the integrated RP band. This is computed from the RP-band mean flux applying the magnitude zero-point in the Vega scale. To obtain error estimates, see phot_rp_mean_flux_over_error.
mag
phot.mag;em.opt.R
float
phot_rp_mean_flux_over_error
Integrated mean RP flux divided by its error. Errors are computed from the dispersion about the weighted mean of the input calibrated photometry.
stat.snr;phot.flux;em.opt.R
float
phot_bp_rp_excess_factor
BP/RP excess factor estimated from the comparison of the sum of integrated BP and RP fluxes with respect to the flux in the G band. This measures the excess of flux in the BP and RP integrated photometry with respect to the G band. This excess is believed to be caused by background and contamination issues affecting the BP and RP data. Therefore a large value of this factor for a given source indicates systematic errors in the BP and RP photometry.
stat.fit.goodness
float
ruwe
Renormalized Unit Weight Error; this is a revised measure for the overall consistency of the solution as defined by GAIA-C3-TN-LU-LL-124-01. A suggested cut on this is RUWE <1.40) See the note for details.
stat.weight
float
ipd_frac_multi_peak
Percentage of distance windows in which a double peak was seen (high values mean high likelihood of a resolved double star).
meta.code.multip
short
adoptedrv
Adopted Radial Velocity
km/s
phys.veloc;pos.heliocentric
float
adoptedrv_error
Error in adopted RV
km/s
stat.error;phys.veloc;pos.heliocentric
float
adoptedrv_refname
Bibcode for the source of the radial velocity
meta.bib.bibcode
char
radial_velocity_is_valid
1 if this object has a radial velocity in eDR3, 0 otherwise
meta.code.qual
short
gcns_prob
Probability that the astrometry is reliable
stat.fit.goodness
float
primary
wd_prob
probability that this is a white dwarf.
stat.likelihood;src.class
float
dist_1
1st percentile of the distance PDF, used in GCNS selection
kpc
stat.value;pos.distance
float
dist_16
16th percentile of the distance PDF (1 σ lower bound)
kpc
stat.value;pos.distance
float
dist_50
Median of the distance PDF
kpc
pos.distance;stat.median
float
dist_84
84th percentile of the distance PDF (1 σ upper bound)
kpc
stat.value;pos.distance
float
xcoord_50
Median x coordinate in the Galactic frame assuming dist_50
pc
pos.cartesian.x;stat.median
float
xcoord_16
1 σ lower bound of Galactic frame x coordinate
pc
stat.value;pos.cartesian.x
float
xcoord_84
1 σ upper bound of Galactic frame x coordinate
pc
stat.value;pos.cartesian.x
float
ycoord_50
Median y coordinate in the Galactic frame assuming dist_50
pc
pos.cartesian.y;stat.median
float
ycoord_16
1 σ lower bound of Galactic frame y coordinate
pc
stat.value;pos.cartesian.y
float
ycoord_84
1 σ upper bound of Galactic frame y coordinate
pc
stat.value;pos.cartesian.y
float
zcoord_50
Median z coordinate in the Galactic frame assuming dist_50
pc
pos.cartesian.z;stat.median
float
zcoord_16
1 σ lower bound of Galactic frame z coordinate
pc
stat.value;pos.cartesian.z
float
zcoord_84
1 σ upper bound of Galactic frame z coordinate
pc
stat.value;pos.cartesian.z
float
uvel_50
Median velocity u in the Galactic frame, direction positive x
km/s
phys.veloc;pos.cartesian.x;stat.median
float
uvel_16
1 σ lower bound for u
km/s
stat.value;phys.veloc;pos.cartesian.x
float
uvel_84
1 σ upper bound for u
km/s
stat.value;phys.veloc;pos.cartesian.x
float
vvel_50
Median velocity v in the Galactic frame, direction positive y
km/s
phys.veloc;pos.cartesian.y;stat.median
float
vvel_16
1 σ lower bound for v
km/s
stat.value;phys.veloc;pos.cartesian.y
float
vvel_84
1 σ upper bound for v
km/s
stat.value;phys.veloc;pos.cartesian.y
float
wvel_50
Median velocity w in the Galactic frame, direction positive z
km/s
phys.veloc;pos.cartesian.z;stat.median
float
wvel_16
1 σ lower bound for w
km/s
stat.value;phys.veloc;pos.cartesian.z
float
wvel_84
1 σ upper bound for w
km/s
stat.value;phys.veloc;pos.cartesian.z
float
name_gunn
Object Name from PanSTARRS/SDSS/SkyMapper survey
meta.id.cross
char
refname_gunn
Reference for the source of the Gunn photometry
meta.bib.bibcode
char
gmag_gunn
Gunn G band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.V
float
e_gmag_gunn
Uncertainty in G band magnitude
mag
stat.error;phot.mag;em.opt.V
float
rmag_gunn
Gunn R band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.R
float
e_rmag_gunn
Uncertainty in R band magnitude
mag
stat.error;phot.mag;em.opt.R
float
imag_gunn
Gunn I band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.I
float
e_imag_gunn
Uncertainty in I band magnitude
mag
stat.error;phot.mag;em.opt.I
float
zmag_gunn
Gunn Z band magnitude (when from SDSS, g, when from Skymapper, g_psf)
mag
phot.mag;em.opt.I
float
e_zmag_gunn
Uncertainty in Z band magnitude
mag
stat.error;phot.mag;em.opt.I
float
name_2mass
Name of this object in 2MASS
meta.id.cross
char
j_m_2mass
2MASS J band magnitude
mag
phot.mag;em.IR.J
float
j_msig_2mass
Uncertainty in 2MASS J band magnitude
mag
stat.error;phot.mag;em.IR.J
float
h_m_2mass
2MASS H band magnitude
mag
phot.mag;em.IR.H
float
h_msig_2mass
Uncertainty in 2MASS H band magnitude
mag
stat.error;phot.mag;em.IR.H
float
k_m_2mass
2MASS K band magnitude
mag
phot.mag;em.IR.K
float
k_msig_2mass
Uncertainty in 2MASS K band magnitude
mag
stat.error;phot.mag;em.IR.K
float
name_wise
Name of this object in WISE
meta.id.cross
char
w1mpro_pm_wise
CATWISE W1 band magnitude
mag
phot.mag;em.IR.3-4um
float
w1sigmpro_pm_wise
Uncertainty in CATWISE W1 band magnitude
mag
stat.error;phot.mag;em.IR.3-4um
float
w2mpro_pm_wise
CATWISE W2 band magnitude
mag
phot.mag;em.IR.4-8um
float
w2sigmpro_pm_wise
Uncertainty in CATWISE W2 band magnitude
mag
stat.error;phot.mag;em.IR.4-8um
float
w3mpro_wise
CATWISE W3 band magnitude
mag
phot.mag;em.IR.8-15um
float
w3sigmpro_wise
Uncertainty in CATWISE W3 band magnitude
mag
stat.error;phot.mag;em.IR.8-15um
float
w4mpro_wise
ALLWISE W4 band magnitude
mag
phot.mag;em.IR.15-30um
float
w4sigmpro_wise
Uncertainty in ALLWISE W4 band magnitude
mag
stat.error;phot.mag;em.IR.15-30um
float
gncs_rejected_oid
int
indexed
external.gaiaedr3_spurious
For a small fraction of Gaia EDR3 sources, the astrometric solutions are poor, and the reported values and uncertainties may not apply. Before any analysis, it is important to recognise and excise these spurious results, commonly done by means of quality flags in the Gaia catalogue. This table contains estimates of the "fidelity" of Gaia EDR3 astrometric solutions, which measures the likelihood that the EDR3 solution is physical rather than spurious. These fidelity estimates were obtained using a neural network trained on a carefully selected sample. The code and training/validation data are public, so that the results can be easily reproduced. Data replicated from the gedr3spur.main table at the GAVO Data Center TAP service https://dc.g-vo.org/tap and TAP metadata as of December 2021. Reference paper: https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2597R/abstract (DOI: 10.1093/mnras/stab3588)
source_id
Gaia eDR3 unique source identifier. Note that this *cannot* be matched against the DR1 or DR2 source_ids.
meta.id;meta.main
long
indexed
primary
fidelity_v2
A probability that eDR3 has a good astrometric solution for this source, with values between 0 (meaning likely spurious solution) and 1 (meaning likely good solution). This is the published probability estimate.
stat.fit
float
indexed
primary
theta_arcsec_worst_source
Distance to the eDR3 source within 30 arcsec of the object for which ΔG-θ is maximal. See norm_dg for details.
arcsec
pos.angDistance
float
norm_dg
This is a heuristic measure for contamination by bright stars in the neighbourhood. It is computed as ΔG-θ, where θ is the distance to another Gaia eDR3 object in arcsec (reported in theta_arcsec_worst_source), and ΔG is the magnitude difference in mag. This column gives the maximum of the values for all eDR3 sources within 30 arcsecs of the object.
instr.background
float
dist_nearest_neighbor_at_least_m2_brighter
Distance to the nearest neighbour in gaia_source at least 2 m fainter than this source.
arcsec
pos.angDistance
float
dist_nearest_neighbor_at_least_0_brighter
Distance to the nearest neighbour in gaia_source at least as bright as this source.
arcsec
pos.angDistance
float
dist_nearest_neighbor_at_least_2_brighter
Distance to the nearest neighbour in gaia_source at least 2 m brighter than this source.
arcsec
pos.angDistance
float
dist_nearest_neighbor_at_least_4_brighter
Distance to the nearest neighbour in gaia_source at least 4 m brighter than this source.
arcsec
pos.angDistance
float
dist_nearest_neighbor_at_least_6_brighter
Distance to the nearest neighbour in gaia_source at least 6 m brighter than this source.
arcsec
pos.angDistance
float
dist_nearest_neighbor_at_least_10_brighter
Distance to the nearest neighbour in gaia_source at least 10 m brighter than this source.
arcsec
pos.angDistance
float
fidelity_v1
A probablity that eDR3 has a good astrometric solution for this source, with values between 0 (meaning likely spurious solution) and 1 (meaning likely good solution). This comes from a first version of the estimator that was reviewed based on an astro-ph paper.
stat.fit
float
external.gaia_eso_survey
This table contains a selection of fields from data release 5.1 of the Gaia-ESO Public Spectroscopic Survey (GES). Gaia-ESO is a large public spectroscopic survey carried out with FLAMES, targeting 114,916 stars, systematically covering all major components of the Milky Way, from halo to star-forming regions, providing a homogeneous overview of the distributions of kinematics and elemental abundances. The catalogue contains radial and projected rotational velocities, stellar parameters (effective temperature, surface gravity, and metallicity), abundances of several elements, specific parameters for tracing accretion and activity in young stars, and - for the targets of the cluster fields - the probability to be members of the cluster calculated by combining GES radial velocities with astrometry from Gaia EDR3 by Jackson+ (2022, MNRAS, 509, 1164). The full GES data release can be accessed from the ESO Science Portal at https://eso.org/rm/publicAccess#/dataReleases?wcmmode=disabled. Please, see the two main GES data release papers for details: https://ui.adsabs.harvard.edu/abs/2022A%26A...666A.120G/abstract (DOI: 10.1051/0004-6361/202243134) and https://ui.adsabs.harvard.edu/abs/2022A%26A...666A.121R/abstract (DOI: 10.1051/0004-6361/202243141). This table has been created by Germano Sacco (INAF-Osservatorio Astrofisico di Arcetri) in July 2023 for the Gaia ESA Archive.
object
GES object name from coordinates
meta.id;meta.main
char
indexed
primary
ges_fld
GES field name
meta.id
char
ges_type
GES Classification System of Target Programmes
meta.id
char
ra
Right Ascension
deg
pos.eq.ra
double
indexed
primary
dec
Declination
deg
pos.eq.dec
double
indexed
primary
epoch
Coordinate epoch
year
time.epoch
double
teff
Effective Temperature
K
phys.temperature.effective
float
indexed
primary
e_teff
Error on TEFF
K
stat.error;phys.temperature.effective
float
logg
Log Surface Gravity (gravity in cm/s**2)
log(cm/s**2)
phys.gravity
float
indexed
primary
e_logg
Error on LOGG
log(cm/s**2)
stat.error;phys.gravity
float
feh
Metallicity from Fe lines
dex
phys.abund.Fe
float
indexed
primary
e_feh
Error on FEH
dex
stat.error;phys.abund.Fe
float
vrad
Radial Velocity
km s-1
spect.dopplerVeloc.opt
float
indexed
primary
e_vrad
Error on VRAD
km s-1
stat.error;spect.dopplerVeloc.opt
float
vsini
Rotational broadening
km s-1
phys.veloc.rotat
float
indexed
primary
e_vsini
Error on VSINI
km s-1
stat.error;phys.veloc.rotat
float
lim_vsini
Flag on VSINI (0 = detection, 1 = lower limit)
meta.number
short
li1
Neutral Lithium Abundance
dex
phys.abund
float
e_li1
Error on LI1
dex
stat.error;phys.abund
float
lim_li1
Flag on LI Measurement type (0 = detection, 1 = lower limit)
meta.code
short
ew_li
LI(6708A) equivalent width
Angstrom
spec.line.eqWidth
float
e_ew_li
Error on EW_LI
Angstrom
stat.error;spec.line.eqWidth
float
lim_ew_li
Flag on EW_LI (0 = detection, 1 = lower limit)
meta.code
short
o1
Oxgen Abundance
dex
phys.abund
float
e_o1
Error O1
dex
stat.error;phys.abund
float
mg1
Magnesium Abundance
dex
phys.abund
float
e_mg1
Error on MG1
dex
stat.error;phys.abund
float
al1
Aluminium Abundance
dex
phys.abund
float
e_al1
Error on ALI
dex
stat.error;phys.abund
float
si1
Silicon Abundance
dex
phys.abund
float
e_si1
Error on SI1
dex
stat.error;phys.abund
float
ca1
Calcium Abundance
dex
phys.abund
float
e_ca1
Error on CA1
dex
stat.error;phys.abund
float
ti1
Titanium Abundance
dex
phys.abund
float
e_ti1
Error on TI1
dex
stat.error;phys.abund
float
ni1
Nitrogen Abundance
dex
phys.abund
float
e_ni1
Error on NI1
dex
stat.error;phys.abund
float
ba2
Ionized Barium Abundance
dex
phys.abund
float
e_ba2
Error on BA2
dex
stat.error;phys.abund
float
eu2
Ionized Europium Abundance
dex
phys.abund
float
e_eu2
Error on EU2
dex
stat.error;phys.abund
float
sflags
Simplified Flags
meta.code
char
external.galex_ais
The revised GALEX catalogue of UV sources (GUVcat_AIS) from GR6plus7 data release. The Galaxy Evolution Explorer (GALEX) imaged the sky in two ultraviolet (UV) bands: far-UV (FUV) and near-UV (NUV), providing the first comprehensive UV sky surveys. The GALEX database includes FUV and NUV images, ~500 million source measurements, and over 100,000 low-resolution UV spectra. This catalogue presents science-enhanced, "clean" lists of GALEX UV sources, with useful tags to facilitate scientific investigations. Sources within the footprint of extended objects (such as nearby galaxies and stellar clusters) are flagged, allowing for the exclusion of these regions when estimating source density. Duplicate measurements of the same source are removed in GUVcat, ensuring each astrophysical object has only one entry. The catalogue includes all observations from the All-Sky Imaging Survey (AIS), the largest area-covered survey with both FUV and NUV detectors exposed. It consists of over 28,700 fields, comprising a total of 57,000 observations. The total number of "unique" AIS sources is 82,992,086 (GUVcatAISfov055) and 69,772,677 (GUVcatAISfov050). The typical depth of the GUVcat_AIS catalogue is FUV = 19.9 AB mag and NUV = 20.8 AB mag. Table copied from TAP VizieR http://tapvizier.u-strasbg.fr/TAPVizieR/, VizieR catalogue: II/335/galex_ais. Reference paper: https://ui.adsabs.harvard.edu/abs/2017ApJS..230...24B/abstract (DOI: 10.3847/1538-4365/aa7053)
raj2000
Source's right ascension (J2000) (RA)
deg
pos.eq.ra;meta.main
double
indexed
primary
dej2000
Source's declination (J2000) (DEC)
deg
pos.eq.dec;meta.main
double
indexed
primary
name
GALEX identifier in JHHMMSS.s+DDMMSS format; column added by CDS
NULL
meta.id
char
objid
GALEX identifier for the source (objid)
NULL
meta.id;meta.main
long
indexed
primary
phid
Pointer to photoExtract Table (id of original observation on which the measurement was taken) (photoextractid)
NULL
meta.id
long
cat
Survey type (always "AIS" = All-sky Imaging Survey) (mpstype)
NULL
meta.id;meta.dataset
char
rafdeg
RA of center of field (avaspra)
deg
pos.eq.ra
double
defdeg
DE of center of field (avaspdec)
deg
pos.eq.dec
double
fuvexp
[30/709] FUV exposure time
s
time.duration;obs.exposure;em.UV.100-200nm
float
nuvexp
[30/1134] NUV exposure time
s
time.duration;obs.exposure;em.UV.200-300nm
float
glon
Galactic longitude
deg
pos.galactic.lon
double
indexed
glat
Galactic latitude
deg
pos.galactic.lat
double
indexed
tile
[50000/50491] Tile number (tilenum)
NULL
meta.id;obs.field
int
img
[33/3172] Image number (img)
NULL
meta.id
short
sv
[1/99] Number of subvisit if exposure was divided (subvisit)
NULL
meta.id
short
r_fov
[/0.6] Distance of source from center of the field (fov_radius)
deg
pos.angDistance
double
obs
[1] Observation type (1=multi) (type)
NULL
meta.note
short
b
[1/3] bands: 1=NUV, 2=FUV, 3=both (band)
NULL
meta.code
short
e_b_v
[0.0007/0.5] E(B-V) Galactic Reddening (from Schlegel+ 1998ApJ...500..525S maps) (E_bv)
mag
phot.color.excess
float
indexed
primary
sp_
[0/1] 1 if a spectrum exists (istherespectrum)
NULL
meta.code
short
chkf
[0/1] Astrometry check type (chkobj_type)
NULL
meta.code
short
fuvmag
[10.6/23.8]? GALEX FUV calibrated magnitude in AB system (fuv_mag)
mag
phot.mag;em.UV.100-200nm
float
indexed
primary
e_fuvmag
[0.001/0.6]? FUV mag error (fuv_magerr)
mag
stat.error;phot.mag;em.UV.100-200nm
float
indexed
nuvmag
[9.6/24.5] GALEX NUV calibrated magnitude in AB system (nuv_mag)
mag
phot.mag;em.UV.200-300nm
float
indexed
primary
e_nuvmag
[0.0007/0.5] NUV mag error (nuv_magerr)
mag
stat.error;phot.mag;em.UV.200-300nm
float
indexed
fuv_a
[-8.2/5]? FUV Kron-like elliptical aperture magnitude (fuv_mag_auto)
mag
phot.mag;em.UV.100-200nm
float
e_fuv_a
[0.001/0.6]? FUV RMS error for AUTO magnitude (fuv_magerr_auto)
mag
stat.error;phot.mag;em.UV.100-200nm
float
nuv_a
[-10.5/4.4] NUV Kron-like elliptical aperture magnitude (nuv_mag_auto)
mag
phot.mag;em.UV.200-300nm
double
e_nuv_a
[0.0007/0.5] NUV RMS error for AUTO magnitude (nuv_magerr_auto)
mag
stat.error
float
fuv_4
[-7.2/99]? FUV mag aperture (8 pix diameter) (fuv_mag_aper_4)
mag
phot.mag;em.UV.100-200nm
float
e_fuv_4
[0.002/4911]? FUV mag aperture error (8 pix diameter) (fuv_magerr_aper_4)
mag
stat.error;phot.mag;em.UV.100-200nm
double
nuv_4
[-7.5/99] NUV mag aperture (8 pix diameter) (nuv_mag_aper_4)
mag
phot.mag;em.UV.200-300nm
float
e_nuv_4
[0.001/2559] NUV mag aperture error (8 pix diameter) (nuv_magerr_aper_4)
mag
stat.error
double
fuv_6
[-7.4/99]? FUV mag aperture (17 pix diameter) (fuv_mag_aper_6)
mag
phot.mag;em.UV.100-200nm
float
e_fuv_6
[0.001/37286]? FUV mag aperture error (17 pix diameter) (fuv_magerr_aper_6)
mag
stat.error;phot.mag;em.UV.100-200nm
double
nuv_6
[-8.3/99] NUV mag aperture (17 pix diameter) (nuv_mag_aper_6)
mag
phot.mag;em.UV.200-300nm
float
e_nuv_6
[0.001/15473111] NUV mag aperture error (17 pix diameter) (nuv_magerr_aper_6)
mag
stat.error
double
fafl
[0/416]? FUV artifact flag (logical OR near source) (fuv_artifact)
NULL
meta.code
short
nafl
[0/913] NUV artifact flag (logical OR near source) (nuv_artifact)
NULL
meta.code
short
fexf
[0/19]? Extraction flags for FUV band (fuv_flags)
NULL
meta.code
short
nexf
[0/51] Extraction flags for NUV band (nuv_flags)
NULL
meta.code
short
fflux
[1/201899]? FUV calibrated flux (fuv_flux)
uJy
phot.flux;em.UV
double
primary
e_fflux
[0.5/18719]? FUV flux error (fuv_fluxerr)
uJy
stat.error
double
nflux
[0.6/202886] NUV calibrated flux (nuv_flux)
uJy
phot.flux;em.UV
double
primary
e_nflux
[0.2/3649] NUV flux error (nuv_fluxerr)
uJy
stat.error
double
fxpos
? Source position in FUV image along x (fuv_x_image)
pix
pos.cartesian.x;instr.det
float
fypos
? Source position in UV image along y (fuv_y_image)
pix
pos.cartesian.y;instr.det
float
nxpos
Source position in NUV image along x (nuv_x_image)
pix
pos.cartesian.x;instr.det
float
nypos
Source position in NUV image along y (nuv_y_image)
pix
pos.cartesian.y;instr.det
float
fima
? Source FWHM in FUV assuming a gaussian core (fuv_fwhm_image)
pix
phys.angSize;em.UV.100-200nm
double
nima
Source FWHM in NUV assuming a gaussian core (nuv_fwhm_image)
pix
phys.angSize;em.UV.200-300nm
float
fr
[-0.2/0.3]? Source FWHM in FUV assuming a gaussian core (fuv_fwhm_world)
deg
phys.angSize;em.UV.100-200nm
double
nr
[-0.1/0.5] Source FWHM in NUV assuming a gaussian core (nuv_fwhm_world)
deg
phys.angSize;em.UV.200-300nm
double
ns_g
Star/galaxy classifier from NUV (nuv_class_star)
NULL
src.class.starGalaxy
float
fs_g
? Star/galaxy classifier from FUV (fuv_class_star)
NULL
src.class.starGalaxy
float
nell
1-b/a in NUV (nuv_ellipticity)
NULL
src.ellipticity
float
fell
? 1-b/a in FUV (fuv_ellipticity)
NULL
src.ellipticity
float
npa
Position angle in NUV (nuv_theta_j2000)
deg
pos.posAng
float
e_npa
[-90/] Position angle error in NUV (nuv_errtheta_j2000)
deg
stat.error
float
fpa
? Position angle in FUV (fuv_theta_j2000)
deg
pos.posAng
float
e_fpa
[-90/]? Position angle error in FUV (fuv_errtheta_j2000)
deg
stat.error
float
fnr
[/965]? FUV FWHM IMAGE value from -fd-ncat.fits (fuv_ncat_fwhm_image) (4)
pix
phys.angSize
double
f3r
[/1.98E7]? FUV flux radius (fuv_ncat_flux_rad_3) (4)
pix
phys.angSize;src
double
nar
[3.5/13.2] Kron apertures in units of a or b (nuv_kron_radius)
NULL
phys.angSize;src
double
narms
[0.0002/0.1] Profile RMS along major axis (nuv_a_world)
deg
phys.angSize.smajAxis
double
nbrms
[0.00004/0.06] Profile RMS along minor axis (nuv_b_world)
deg
phys.angSize.sminAxis
double
far
[3.5/11]? Kron apertures in units of a or b (fuv_kron_radius)
NULL
phys.angSize;src
double
farms
[0.0002/0.06]? Profile RMS along major axis (fuv_a_world)
deg
phys.angSize.smajAxis
double
fbrms
[0.0001/0.03]? Profile RMS along minor axis (fuv_b_world)
deg
phys.angSize.sminAxis
double
nuvw
[0/964] NUV effective exposure (flat-field response value) at the source position (nuv_weight)
s
time.duration;obs.exposure
float
fuvw
[0/700] FUV effective exposure (fuv_weight)
s
time.duration;obs.exposure
float
prob
? Probability of the FUVxNUV match (prob)
NULL
stat.probability
double
sep
[0/7.1]? Separation between FUV and NUV position of the source in the same observation (sep)
arcsec
pos.angDistance
float
nerr
[0.4/3.3] Position error of the source in the NUV image (nuv_poserr)
arcsec
stat.error;pos
float
ferr
[0.4/2.4]? Position error of the source in the FUV image (fuv_poserr)
arcsec
stat.error;pos
float
ierr
[0.4/3.4]? Inter-band position error (ib_poserr)
arcsec
stat.error;pos
float
nperr
[0.001/2.8] NUV Poisson position error (nuv_pperr)
arcsec
stat.error;pos
float
fperr
[0.001/1.6]? FUV Poisson position error (fuv_pperr)
arcsec
stat.error;pos
float
cv
[CV] Whether the source comes from a coadd or visit (corv)
NULL
meta.code
char
g
[-1/1] Neighbours rank (grank) (1)
NULL
meta.note
short
n
[1/12] Number of sources within 2.5", if this is a primary (ngrank)
NULL
meta.number
short
primid
objid of the primary (only of use for the "plus" catalog) (primgid)
NULL
meta.id.assoc
long
groupid
objid's of all sources (AIS) within 2.5", concatenated by "+" (groupgid)
NULL
meta.id.assoc
char
gd
[-1/1] as for "G" (grank), but based on distance criterion (grankdist) (1)
NULL
meta.note
short
nd
[1/12] as for "N" (ngrank), but based on distance criterion (ngrankdist)
NULL
meta.number
short
primidd
objid of the closest primary, based on distance criterion (primgiddist)
NULL
meta.id.assoc
long
groupidd
objid's of all sources (AIS) within 2.5", based on distance criterion (groupgiddist)
NULL
meta.id.assoc
char
grouptot
objid's of all sources within 2.5" (groupgidtot)
NULL
meta.id.assoc
char
oname
Extended object? (if not: "N") (inlargeobj) (2)
NULL
meta.id.assoc
char
"size"
[/38740]? Size of the extended object (largeobjsize) (3)
pix
phys.angSize
double
external.lamost_dr9_lrs
LAMOST Low-Resolution Spectroscopic Survey General Catalogue Data Release 9. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) is a Chinese national scientific research facility operated by the National Astronomical Observatories, Chinese Academy of Sciences. It is a special reflecting Schmidt telescope with 4000 fibers in a field of view of 20 degrees. The LAMOST survey provides flux- and wavelength-calibrated, sky-subtracted spectra in the wavelength range 3690-9100 Angstrom for many types of astronomical objects. The ninth LAMOST data release (LAMOST DR9) includes observations until June 2021. The Low-Resolution spectroscopic Survey (LRS) General Catalogue contains 11,211,028 spectra, of which 10,893,354 are stars, 241,454 are galaxies, and 76,220 are QSOs. For more information, please consult the LAMOST homepage: https://www.lamost.org/dr9/
postcard_url
meta.ref.url;meta.preview
char
primary
product_url
meta.dataset;meta.ref.url
obscore:Access.Reference
char
primary
obsid
Unique Spectra ID
meta.id
int
indexed
primary
uid
Unique source identifier calculated with the "ura" and "udec" in table 10
meta.id;meta.main
char
gp_id
For each LAMOST source, the equatorial coordinates ("ura" and "udec" in table 10) used to calculate "uid" were from which survey (Pan-STARRS, Gaia or LAMOST), "gp_id" gives the corresponding source identifier in that survey.
meta.id.assoc
long
designation
Target designation
meta.id
char
primary
obsdate
Target Observation Date
meta.ref;time.epoch
char
primary
lmjd
Local modified Julian day
d
meta.ref;time.epoch
int
mjd
Modified Julian Day
d
meta.ref;time.epoch
int
planid
Plan Name
meta.code
char
spid
Spectrograph ID
meta.id
short
fiberid
Fiber ID of object
meta.id.assoc
short
ra_obs
Fiber pointing right ascension
deg
pos.eq.ra
double
dec_obs
Fiber pointing declination
deg
pos.eq.dec
double
snru
Signal-to-noise ratio of u filter
stat.snr;phot.flux;em.opt.U
double
primary
snrg
Signal-to-noise ratio of g filter
stat.snr;phot.flux;em.opt.V
double
primary
snrr
Signal-to-noise ratio of r filter
stat.snr;phot.flux;em.opt.R
double
primary
snri
Signal-to-noise ratio of i filter
stat.snr;phot.flux;em.opt.I
double
primary
snrz
Signal-to-noise ratio of z filter
stat.snr;phot.flux;em.opt.I
double
primary
class
Spectral type
meta.code.class
char
primary
subclass
Stellar spectral type
src.spType
char
primary
z
Redshift
src.redshift
double
primary
z_err
Redshift uncertainty
stat.error;src.redshift
double
primary
ps_id
The objID in the Pan-STARRS catalog
meta.id.assoc
long
mag_ps_g
Pan-STARRS g band magnitude
phot.flux;em.opt.V
double
mag_ps_r
Pan-STARRS r band magnitude
mag
phot.flux;em.opt.R
double
mag_ps_i
Pan-STARRS i band magnitude
mag
phot.flux;em.opt.I
double
mag_ps_z
Pan-STARRS z band magnitude
mag
phot.flux;em.opt.I
double
mag_ps_y
Pan-STARRS y band magnitude
mag
phot.flux;em.opt.I
double
fibertype
Fiber Type of target [Obj, Sky, F-std, Unused, PosErr, Dead]
meta.code.class
char
offsets
Whether there is a fiber offset during observation
meta.code.class
short
offsets_v
If the "offsets" field is true, "offsets_v" gives the offset distance from the target’s coordinator in input catalog
arcsec
instr.offset
double
ra
Right Ascension from input catalog
deg
pos.eq.ra;meta.main
double
indexed
primary
dec
Declination from input catalog
deg
pos.eq.dec;meta.main
double
indexed
primary
fibermask
Possible fiber problems
meta.code
short
with_norm_flux
It has two values of 0 and 1, 1 represents the FITS file provides the normalized spectrum, and 0 means it does not. The normalized flux is in the data array of extension 1.
meta.code
short
external.lamost_dr9_mrs
LAMOST Medium-Resolution Spectroscopic Survey General Catalogue Data Release 9. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) is a Chinese national scientific research facility operated by the National Astronomical Observatories, Chinese Academy of Sciences. It is a special reflecting Schmidt telescope with 4000 fibers in a field of view of 20 degrees. The LAMOST survey provides flux- and wavelength-calibrated, sky-subtracted spectra in the wavelength range 3690-9100 Angstrom for many types of astronomical objects. Since October 2018, LAMOST started the second stage survey program containing both low- and medium-resolution spectroscopic surveys, and the medium-resolution spectroscopic survey includes two surveys, i.e., the time-domain and the non-time-domain surveys. The ninth LAMOST data release (LAMOST DR9) includes observations until June 2021. The Medium-Resolution spectroscopic Survey (MRS) General Catalogue contains 8,259,362 spectra, where there are 1,846,438 and 6,412,924 spectra for the non-time-domain and time-domain surveys, respectively. For more information, please consult the LAMOST homepage: https://www.lamost.org/dr9/
product_url
meta.dataset;meta.ref.url
obscore:Access.Reference
char
primary
mobsid
Unique ID for each medium-resolution spectrum in each exposure
meta.id.assoc;meta.main
char
indexed
primary
obsid
Unique spectrum ID for each observation of each target
meta.id
int
uid
Unique source identifier calculated with the "ura" and "udec" in table 9
char
gp_id
For each LAMOST source, the equatorial coordinates ("ura" and "udec" in table 9) used to calculate "uid" were from which survey ((Pan-STARRS, Gaia or LAMOST), "gp_id" gives the corresponding source identifier in that survey.
meta.id
long
designation
Target designation
meta.id
char
primary
obsdate
Target Observation Date
meta.ref;time.epoch
char
primary
lmjd
Local Modified Julian Day
d
meta.ref;time.epoch
int
mjd
Modified Julian Day
d
meta.ref;time.epoch
int
planid
Plan Name
meta.code
char
spid
Spectrograph ID
meta.id
short
fiberid
Fiber ID
meta.id.assoc
short
lmjm
Local modified Julian minute
min
meta.ref;time.epoch
int
band
Having two values of B and R, which represent B and R band spectra
instr.bandpass
char
primary
ra_obs
Fiber pointing right ascension
deg
pos.eq.ra
double
dec_obs
Fiber pointing declination
deg
pos.eq.dec
double
snr
The median value of all pixel S/Ns in B band spectrum or R band
stat.snr
double
primary
fibertype
Fiber Type of target [Obj, Sky, F-std, Unused, PosErr, Dead]
meta.code.class
char
offsets
Whether there is a fiber offset during observation
meta.code.class
short
offsets_v
If the "offsets" field is true, "offsets_v" gives the offset distance from the target's coordinator in input catalog
arcsec
instr.offset
double
ra
Right Ascension from input catalog
deg
pos.eq.ra;meta.main
double
indexed
primary
dec
Declination from input catalog
deg
pos.eq.dec;meta.main
double
indexed
primary
rv_b0
Radial velocity of B band spectra measured with 483 selected KURUCZ synthetic templates
km/s
spect.dopplerVeloc.opt;em.opt.B
double
primary
rv_b0_err
Uncertainty of rv_b0 measured by the method LASP used
km/s
stat.error;spect.dopplerVeloc.opt;em.opt.B
double
rv_b1
Radial velocity after zero-point correction of rv_b0
km/s
spect.dopplerVeloc.opt;em.opt.B
double
rv_b1_err
Uncertainty of rv_b1 measured by the error propagation
km/s
stat.error;spect.dopplerVeloc.opt;em.opt.B
double
rv_b_flag
Radial velocity flag for B band spectra
meta.code.class
short
rv_r0
Radial velocity of R band spectra measured with 483 selected KURUCZ synthetic templates
km/s
spect.dopplerVeloc.opt;em.opt.R
double
primary
rv_r0_err
Uncertainty of rv_r0 measured by the method LASP used
km/s
stat.error;spect.dopplerVeloc.opt;em.opt.R
double
rv_r1
Radial velocity after zero-point correction of rv_r0
km/s
spect.dopplerVeloc.opt;em.opt.R
double
rv_r1_err
Uncertainty of rv_r1 measured by the error propagation
km/s
stat.error;spect.dopplerVeloc.opt;em.opt.R
double
rv_r_flag
Radial velocity flag for R band spectra
meta.code.class
short
rv_br0
Radial velocity of B and R band spectra measured with 483 selected KURUCZ synthetic templates
km/s
spect.dopplerVeloc.opt;em.opt
double
rv_br0_err
Uncertainty of rv_br0 measured by the method LASP used
km/s
stat.error;spect.dopplerVeloc.opt;em.opt
double
rv_br1
Radial velocity after zero-point correction of rv_br0
km/s
spect.dopplerVeloc.opt;em.opt
double
rv_br1_err
Uncertainty of rv_br1 measured by the error propagation
km/s
stat.error;spect.dopplerVeloc.opt;em.opt
double
rv_br_flag
Radial velocity flag for B and R band spectra
meta.code.class
short
rv_lasp0
Radial velocity measured by the LASP
km/s
spect.dopplerVeloc.opt;em.opt
double
rv_lasp0_err
Uncertainty of rv_lasp0 also given by the LASP
km/s
stat.error;spect.dopplerVeloc.opt;em.opt
double
rv_lasp1
Radial velocity after zero-point correction of rv_lasp0
km/s
spect.dopplerVeloc.opt;em.opt
double
rv_lasp1_err
Uncertainty of rv_lasp1 measured by the error propagation
km/s
stat.error;spect.dopplerVeloc.opt;em.opt
double
coadd
A flag to show whether it is a coadd spectrum
meta.code.class
short
fibermask
Possible fiber problems
meta.code
short
bad_b
A flag to show whether the B band spectra is problematic
meta.code.class
short
bad_r
A flag to show whether the R band spectra is problematic
meta.code.class
short
moon_angle
The angular distance of each target to the moon
deg
pos.angDistance
double
lunardate
The date of Chinese lunar calendar, which represents the moon phase, and its value is from 1 to 30.
meta.ref;time.epoch
short
moon_flg
This is a flag for "moon_angle", and it has two values of 0 and 1, which represent the range of angular distance. If "moon_flg" equals to 1, it indicates that angular distance is in the range of [10 degree, 30 degree], and it represents that the angular distance is larger than 30 degree when "moon_flg" equals to 0.
meta.code.class
char
subproject
The sub-project names of LAMOST Medium-Resolution Spectroscopic Survey
meta.code.class
char
external.ravedr5_com
The Radial Velocity Experiment (RAVE): fifth data release (DR5). RAVE completeness (RAVE_completeness_PBP.dat). RAVE DR5 is the fifth data release from a magnitude-limited (9 < I < 12 mag) survey of stars randomly selected in the Southern Hemisphere. The RAVE medium-resolution spectra (R ~ 7500) covering the Ca-triplet region (8410-8795 Angstrom) span the complete time frame from the start of RAVE observations in 2003 to their completion in 2013. Radial velocities from 520,781 spectra of 457,588 unique stars are presented, of which 255,922 stellar observations have parallaxes and proper motions from the Tycho-Gaia astrometric solution in Gaia DR1. For the main DR5 catalogue, stellar parameters (effective temperature, surface gravity, and overall metallicity) are computed using the RAVE DR4 stellar pipeline, but calibrated using recent K2 Campaign 1 seismic gravities and Gaia benchmark stars, as well as results obtained from high-resolution studies. Also included are temperatures from the Infrared Flux Method, and a catalogue of red giant stars in the de-reddened color {(J-{Ks})}_0 interval (0.50, 0.85) for which the gravities were calibrated based only on seismology. Further data products for subsamples of the RAVE stars include individual abundances for Mg, Al, Si, Ca, Ti, Fe, and Ni, and distances found using isochrones. Each RAVE spectrum is complemented by an error spectrum, which has been used to determine uncertainties on the parameters. Data retrieved using the VizieR catalogue access tool, CDS, Strasbourg, France (VizieR catalogue: III/279). Reference paper: https://ui.adsabs.harvard.edu/abs/2017AJ....153...75K/abstract (DOI: 10.3847/1538-3881/153/2/75)
healpix32
Hierarchical Equal-Area iso-Latitude Pixelisation value (N_side = 4096) (1)
meta.id
int
indexed
cf00_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf00_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf01_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf02_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf03_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf04_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf05_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf05_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf06_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf06_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf06_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
short
cf06_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf06_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf06_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf06_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf06_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf06_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf06_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf07_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf08_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf09_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf10_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf11_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf12_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_1
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_2
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_3
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_4
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_5
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_6
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_7
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_8
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf13_9
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
cf14_0
Completness fraction (N_RAVE / N_2MASS)
meta.note
double
external.ravedr5_dr5
The Radial Velocity Experiment (RAVE): fifth data release (DR5). Main catalogue. RAVE DR5 is the fifth data release from a magnitude-limited (9 < I < 12 mag) survey of stars randomly selected in the Southern Hemisphere. The RAVE medium-resolution spectra (R ~ 7500) covering the Ca-triplet region (8410-8795 Angstrom) span the complete time frame from the start of RAVE observations in 2003 to their completion in 2013. Radial velocities from 520,781 spectra of 457,588 unique stars are presented, of which 255,922 stellar observations have parallaxes and proper motions from the Tycho-Gaia astrometric solution in Gaia DR1. For the main DR5 catalogue, stellar parameters (effective temperature, surface gravity, and overall metallicity) are computed using the RAVE DR4 stellar pipeline, but calibrated using recent K2 Campaign 1 seismic gravities and Gaia benchmark stars, as well as results obtained from high-resolution studies. Also included are temperatures from the Infrared Flux Method, and a catalogue of red giant stars in the de-reddened color {(J-{Ks})}_0 interval (0.50, 0.85) for which the gravities were calibrated based only on seismology. Further data products for subsamples of the RAVE stars include individual abundances for Mg, Al, Si, Ca, Ti, Fe, and Ni, and distances found using isochrones. Each RAVE spectrum is complemented by an error spectrum, which has been used to determine uncertainties on the parameters. Data retrieved using the VizieR catalogue access tool, CDS, Strasbourg, France (VizieR catalogue: III/279). Reference paper: https://ui.adsabs.harvard.edu/abs/2017AJ....153...75K/abstract (DOI: 10.3847/1538-3881/153/2/75)
name
! Target designation (RAVE_OBS_ID)
meta.id;meta.main
char
indexed
primary
healpix
Hierarchical Equal-Area iso-Latitude Pixelisation value (N_side=4096) (HEALPix) (1)
meta.id
int
indexed
rave
! RAVE designation(JHHMMSS.S+DDMMSS) (RAVEID)
meta.id
char
indexed
primary
ra
Right ascension (J2000.0, Ep=J2000) (RAdeg)
deg
pos.eq.ra;meta.main
double
indexed
primary
dec
Declination (J2000.0, Ep=J2000) (DEdeg)
deg
pos.eq.dec;meta.main
double
indexed
primary
glon
Galactic Longitude
deg
pos.galactic.lon
double
indexed
glat
Galactic Latitude
deg
pos.galactic.lat
double
indexed
hrv
Heliocentric radial velocity (HRV)
km/s
spect.dopplerVeloc;pos.heliocentric
double
indexed
primary
e_hrv
Error on HRV (eHRV)
km/s
stat.error
double
s_hrv
? Standard deviation in HRV from 10 resampled spectra (StdDev_HRV)
km/s
stat.stdev
double
s_med_hrv
? Median absolute deviation in HRV from 10 resampled spectra (MAD_HRV)
km/s
stat.stdev
double
snrs
Signal/Noise Ratio of SPARV pipeline (STN_SPARV) (2)
stat.snr
double
snrk
? Signal/Noise Ratio of Kordopatis pipeline (SNR_K) (2)
stat.snr
short
teffk
? Effective temperature (Teff_K) (2)
K
phys.temperature.effective
double
indexed
primary
cteffk
? Calibrated effective temperature (Teff_N_K) (2)
K
phys.temperature.effective
double
e_teffk
? Effective Temperature error (eTeff_K)
K
stat.error
short
s_med_teffk
? Median absolute deviation in TeffK from 10 resampled spectra (MAD_Teff_K)
K
stat.stdev
double
s_teffk
? Standard deviation in Teff_K from 10 resampled spectra (StdDev_Teff_K)
K
stat.stdev
double
loggk
? Log gravity (logg_K) (2)
cm.s**-2
phys.gravity
double
indexed
primary
cloggk
? Calibrated log gravity (logg_N_K) (2)
cm.s**-2
phys.gravity
double
e_loggk
? Error Log gravity (elogg_K) (2)
cm.s**-2
stat.error
double
s_loggk
? Standard deviation in loggK from 10 resampled spectra (MAD_logg_K)
cm.s**-2
stat.stdev
double
s_med_loggk
? Median absolute deviation in loggK from 10 resampled spectra (StdDev_logg_K)
cm.s**-2
stat.stdev
double
m_h_k
? Metallicity [m/H] (Met_K) (2)
phys.abund
double
indexed
primary
m_h_nk
? Calibrated metallicity (Met_N_K) (2)
phys.abund
double
e__m_h_k
? Error on metallicity (eMet_K) (2)
stat.error;phys.abund
double
s__m_h_k
? Standard deviation in [M/H]K from 10 resampled spectra (MAD_Met_K)
stat.stdev
double
s_med__m_h_k
? Median absolute deviation in [M/H]K from 10 resampled spectra (StdDev_Met_K)
stat.stdev
double
chisqk
? Chi-square from the stellar parameter pipeline (CHISQ_K) (2)
stat.param
double
qk
[0/4]? Quality flag for stellar parameter pipeline (Algo_Conv_K) (2) (3)
meta.code.qual
short
teffir
Temperature from infrared flux method (Teff_IR)
K
phys.temperature
short
e_teffir
? Internal error on TeffIR (eTeff_IR)
K
stat.error
short
irdirect
Infrared flux method flag (IR_direct) (4)
meta.code
char
mg_h_c
? Abundance of Mg (Mg) (2)
phys.abund
double
o_mg_h_c
[0/6]? Number of used spectral lines for calculation (Mg_N) (2)
meta.number
short
al_h_c
? Abundance of Al (Al) (2)
phys.abund
double
o_al_h_c
? Number of used spectral lines for calculation (Al_N) (2)
meta.number
short
si_h_c
? Abundance of Si (Si) (2)
phys.abund
double
o_si_h_c
? Number of used spectral lines for calculation (Si_N) (2)
meta.number
short
ti_h_c
? Abundance of Ti (Ti) (2)
phys.abund
double
o_ti_h_c
? Number of used spectral lines for calculation (Ti_N) (2)
meta.number
short
fe_h_c
? Abundance of Fe (Fe) (2)
phys.abund
double
indexed
primary
o_fe_h_c
? Number of used spectral lines for calculation (Fe_N) (2)
meta.number
short
ni_h_c
? Abundance of Ni (Ni) (2)
phys.abund
double
o_ni_h_c
? Number of used spectral lines for calculation (Ni_N) (2)
meta.number
short
a_fe_c
? Alpha-enhancement from chemi cal pipeline (Alpha_c) (2)
phys.abund
double
chisqc
? Chi-square of chemi cal pipeline (CHISQ_c) (2)
meta.note
double
fracc
? Fraction of spectrum used for calculation of abundances (frac_c) (2)
stat.fit.param
double
avschl
? Total extinction in V-band from Schlegel et al. (1998ApJ...500..525S) (AV_Schlegel)
mag
phys.absorption;em.opt.V
double
dist
? Spectrophotometric distance (distance) (10)
pc
pos.angDistance
double
indexed
e_dist
? Error on distance (edistance) (10)
pc
stat.error
double
logav
? Log Av extinction (log_Av) (10)
phys.absorption
double
indexed
e_logav
? Error on LogAv (elog_Av) (10)
stat.error
double
plx
? Spectrophotometric parallax (parallax) (10)
mas
pos.parallax.spect
double
indexed
e_plx
? Error on plx (eparallax) (10)
mas
stat.error;pos.parallax
double
dm
? Distance modulus (DistanceModulus_Binne) (10)
mag
phot.mag.distMod
double
e_dm
? Error on DM (eDistanceModulus_Binne) (10)
mag
stat.error
double
ffb
? Fit flag see sec.3 of Binney et al. (2014MNRAS.437..351B) (Fit_Flag_Binney)
meta.code
short
fqb
? Fit quality "F" given by Eq. 15 of Binney et al. (2014MNRAS.437..351B) (FitQuality_Binney)
meta.code.qual
double
ngauss
? Number of components required for multi-Gaussian distance modulus fit (N_Gauss_fit)
meta.number
short
gm1
? Mean of 1st Gaussian (Gauss_mean_1)
src.sample;stat.mean
double
gs1
? Sigma of 1st Gaussian (Gauss_sigma_1)
stat.error
double
gf1
? Normalisation of 1st Gaussian (Gauss_frac_1)
meta.note
double
gm2
? Mean of 2nd Gaussian (Gauss_mean_2)
src.sample;stat.mean
double
gs2
? Sigma of 2nd Gaussian (Gauss_sigma_2)
stat.error
double
gf2
? Normalisation of 2nd Gaussian (Gauss_frac_2)
meta.note
double
gm3
? Mean of 3rd Gaussian (Gauss_mean_3)
src.sample;stat.mean
double
gs3
? Sigma of 3rd Gaussian (Gauss_sigma_3)
stat.error
double
gf3
? Normalisation of 3rd Gaussian (Gauss_frac_3)
meta.note
double
c1
1st minimum distance (c1) (5)
meta.code
char
c2
2nd minimum distance (c2) (5)
meta.code
char
c3
3rd minimum distance (c3) (5)
meta.code
char
c4
4th minimum distance (c4) (5)
meta.code
char
c5
5th minimum distance (c5) (5)
meta.code
char
c6
6th minimum distance (c6) (5)
meta.code
char
c7
7th minimum distance (c7) (5)
meta.code
char
c8
8th minimum distance (c8) (5)
meta.code
char
c9
9th minimum distance (c9) (5)
meta.code
char
c10
10th minimum distance (c10) (5)
meta.code
char
c11
11th minimum distance (c11) (5)
meta.code
char
c12
12th minimum distance (c12) (5)
meta.code
char
c13
13th minimum distance (c13) (5)
meta.code
char
c14
14th minimum distance (c14) (5)
meta.code
char
c15
15th minimum distance (c15) (5)
meta.code
char
c16
16th minimum distance (c16) (5)
meta.code
char
c17
17th minimum distance (c17) (5)
meta.code
char
c18
18th minimum distance (c18) (5)
meta.code
char
c19
19th minimum distance (c19) (5)
meta.code
char
c20
20th minimum distance (c20) (5)
meta.code
char
repflag
[1]? Repetition flag (Rep_Flag) (6)
meta.code
short
clsflag
[1]? Cluster star flag (CluStar_Flag) (7)
meta.code
short
fpflag
[1]? Footprint flag FootPrint_Flag) (8)
meta.code
short
tgas
? TGAS target designation (ID_TGAS_source)
meta.id.cross
long
indexed
ratgas
? TGAS right ascension (Ep=2015.0) (RA_TGAS)
deg
pos.eq.ra
double
detgas
? TGAS declination (Ep=2015.0) (DE_TGAS)
deg
pos.eq.dec
double
pmratgas
? Proper motion RA from TGAS (pmRA_TGAS)
mas/yr
pos.pm;pos.eq.ra
double
e_pmratgas
? Error on proper motion RA from TGAS (pmRA_error_TGAS)
mas/yr
stat.error;pos.pm;pos.eq.ra
double
pmdetgas
? Proper motion DE from TGAS (pmDE_TGAS)
mas/yr
pos.pm;pos.eq.dec
double
e_pmdetgas
? Error on proper motion DE from TGAS (pmDE_error_TGAS)
mas/yr
stat.error;pos.pm;pos.eq.dec
double
plxtgas
? Parallax from TGAS (parallax_TGAS)
mas
pos.parallax.trig
double
e_plxtgas
? Error on parallax from TGAS (parallax_error_TGAS)
mas
stat.error
double
gmagtgas
? TGAS G magnitude (phot_g_mean_mag_TGAS)
mag
phot.mag;em.opt.R
double
gfluxtgas
? TGAS flux in G band (phot_g_mean_flux_TGAS)
'electron'/s
phot.flux.density;em.opt.R
double
e_gfluxtgas
? Error on G band flux from TGAS (phot_g_mean_flux_error_TGAS)
'electron'/s
stat.error
double
hipparcos
? Hipparcos target designation (ID_Hipparcos)
meta.id.cross
short
indexed
tycho2
Tycho-2 target designation (ID_TYCHO2)
meta.id.cross
char
indexed
distt2
? Distance to Tycho-2 source (Dist_TYCHO2)
arcsec
pos.angDistance
double
xt2
Cross-match quality flag Tycho-2 (MatchFlag_TYCHO2) (9)
meta.code.qual
char
btmagt2
? Tycho-2 BT magnitude (BTmag_TYCHO2)
mag
phot.mag;em.opt.B
double
e_btmagt2
? Error on Tycho-2 BT magnitude (eBTmag_TYCHO2)
mag
stat.error
double
vtmagt2
? Tycho-2 VT magnitude (VTmag_TYCHO2)
mag
phot.mag;em.opt.V
double
e_vtmagt2
? Error on Tycho-2 VT magnitude (eVTmag_TYCHO2)
mag
stat.error
double
pmrat2
? Proper motion RA from Tycho-2 (pmRA_TYCHO2)
mas/yr
pos.pm;pos.eq.ra
double
e_pmrat2
? Error on proper motion RA from Tycho-2 (epmRA_TYCHO2)
mas/yr
stat.error;pos.pm;pos.eq.ra
double
pmdet2
? Proper motion De from Tycho-2 (pmDE_TYCHO2)
mas/yr
pos.pm;pos.eq.dec
double
e_pmdet2
? Error on proper motion DE from Tycho-2 (epmDE_TYCHO2)
mas/yr
stat.error;pos.pm;pos.eq.dec
double
ucac4
UCAC4 target designation (ID_UCAC4)
meta.id.cross
char
indexed
distu4
? Distance to UCAC4 source (Dist_UCAC4)
arcsec
pos.angDistance
double
xu4
Cross-match quality flag UCAC4 (MatchFlag_UCAC4) (9)
meta.code.qual
char
pmrau4
? Proper motion RA from UCAC4 (pmRA_UCAC4)
mas/yr
pos.pm;pos.eq.ra
double
e_pmrau4
? Error on proper motion RA from UCAC4 (epmRA_UCAC4)
mas/yr
stat.error;pos.pm;pos.eq.ra
double
pmdeu4
? Proper motion DE from UCAC4 (pmDE_UCAC4)
mas/yr
pos.pm;pos.eq.dec
double
e_pmdeu4
? Error on proper motion DE from UCAC4 (epmDE_UCAC4)
mas/yr
stat.error;pos.pm;pos.eq.dec
double
ppmxl
? PPMXL target designation (ID_PPMXL)
meta.id.cross
double
indexed
distp
? Distance to PPMXL source (Dist_PPMXL)
arcsec
pos.angDistance
double
xp
Cross-match quality flag PPMXL (MatchFlag_PPMXL) (9)
meta.code.qual
char
pmrap
? Proper motion RA from PPMXL (pmRA_PPMXL)
mas/yr
pos.pm;pos.eq.ra
double
e_pmrap
? Error on proper motion RA from PPMXL (epmRA_PPMXL)
mas/yr
stat.error;pos.pm;pos.eq.ra
double
pmdep
? Proper motion DE from PPMXL (pmDE_PPMXL)
mas/yr
pos.pm;pos.eq.dec
double
e_pmdep
? Error on proper motion DE from PPMXL (epmDE_PPMXL)
mas/yr
stat.error;pos.pm;pos.eq.dec
double
col2mass
2MASS target designation (ID_2MASS)
meta.id.cross
char
indexed
dist2
? Distance to 2MASS source (Dist_2MASS)
arcsec
pos.angDistance
double
x2
Cross-match quality flag 2MASS (MatchFlag_2MASS) (9)
meta.code.qual
char
jmag2
? 2MASS J magnitude (Jmag_2MASS)
mag
phot.mag;em.IR.J
double
e_jmag2
? Error on 2MASS J magnitude (eJmag_2MASS)
mag
stat.error;phot.mag;em.IR.J
double
hmag2
? 2MASS H magnitude (Hmag_2MASS)
mag
phot.mag;em.IR.H
double
e_hmag2
? Error on 2MASS H magnitude (eHmag_2MASS)
mag
stat.error;phot.mag;em.IR.H
double
kmag2
? 2MASS K magnitude (Kmag_2MASS)
mag
phot.mag;em.IR.K
double
e_kmag2
? Error on 2MASS K magnitude (eKmag_2MASS)
mag
stat.error;phot.mag;em.IR.K
double
allwise
ALLWISE target designation (ID_ALLWISE)
meta.id.cross
char
indexed
distw
? Distance to ALLWISE source (Dist_ALLWISE)
arcsec
pos.angDistance
double
xw
Cross-match quality flag ALLWISE (MatchFlag_ALLWISE) (9)
meta.code.qual
char
w1magw
? ALLWISE W1 magnitude (W1mag_ALLWISE)
mag
phot.mag;em.IR.3-4um
double
e_w1magw
? Error on ALLWISE W1 magnitude (eW1mag_ALLWISE)
mag
stat.error;phot.mag
double
w2magw
? ALLWISE W2 magnitude (W2mag_ALLWISE)
mag
phot.mag;em.IR.4-8um
double
e_w2magw
? Error on ALLWISE W2 magnitude (eW2mag_ALLWISE)
mag
stat.error;phot.mag
double
w3magw
? ALLWISE W3 magnitude (W3mag_ALLWISE)
mag
phot.flux.density;em.IR.8-15um
double
e_w3magw
? Error on ALLWISE W3 magnitude (eW3mag_ALLWISE)
mag
stat.error;phot.mag
double
w4magw
? ALLWISE W4 magnitude (W4mag_ALLWISE)
mag
phot.flux.density;em.IR.15-30um
double
e_w4magw
? Error on ALLWISE W4 magnitude (eW4mag_ALLWISE)
mag
stat.error;phot.mag
double
ccflagsw
Prioritized artifacts affecting the source in each band (cc_flags_ALLWISE)
meta.code
char
extflgw
? Probability source morphology is not consistent with single PSF (ext_flg_ALLWISE)
meta.code
short
varflgw
Probability that flux varied in any band greater than amount expected (var_flg_ALLWISE)
meta.code;src.var
char
phqualw
Photometric quality of each band A=highest, U=upper limit (ph_qual_ALLWISE)
mag
meta.code.qual
char
distadr9
? Distance to APASS DR9 source (Dist_APASSDR9)
arcsec
pos.angDistance
double
xadr9
Cross-match quality flag APASSDR9 (MatchFlag_APASSDR9) (9)
meta.code.qual
char
bmagadr9
? APASS DR9 B magnitude (Bmag_APASSDR9)
mag
phot.mag;em.opt.B
double
e_bmagadr9
? Error APASS DR9 B magnitude (eBmag_APASSDR9)
mag
stat.error
double
vmagadr9
? APASS DR9 V magnitude (Vmag_APASSDR9)
mag
phot.mag;em.opt.V
double
e_vmagadr9
? Error APASS DR9 V magnitude (eVmag_APASSDR9)
mag
stat.error
double
gpmagadr9
? APASS DR9 g' magnitude (gpmag_APASSDR9)
mag
phot.mag;em.opt.B
double
e_gpmagadr9
? Error APASS DR9 g' magnitude (egpmag_APASSDR9)
mag
stat.error
double
rpmagadr9
? APASS DR9 r' magnitude (rpmag_APASSDR9)
mag
phot.mag;em.opt.R
double
e_rpmagadr9
? Error APASS DR9 r' magnitude (erpmag_APASSDR9)
mag
stat.error
double
ipmagadr9
? APASS DR9 i' magnitude (ipmag_APASSDR9)
mag
phot.mag;em.opt.I
double
e_ipmagadr9
? Error APASS DR9 i' magnitude (eipmag_APASSDR9)
mag
stat.error
double
denis
DENIS target designation (ID_DENIS)
meta.id.cross
char
indexed
distd
? Distance to DENIS source (Dist_DENIS)
arcsec
pos.angDistance
double
xd
Cross-match quality flag DENIS (MatchFlag_DENIS) (9)
meta.code.qual
char
imagd
? DENIS I magnitude (Imag_DENIS)
mag
phot.mag;em.opt.I
double
e_imagd
? Error DENIS I magnitude (eImag_DENIS)
mag
stat.error;phot.mag;em.opt.I
double
jmagd
? DENIS J magnitude (Jmag_DENIS)
mag
phot.mag;em.IR.J
double
e_jmagd
? Error DENIS J magnitude (eJmag_DENIS)
mag
stat.error;phot.mag;em.IR.J
double
kmagd
? DENIS K magnitude (Kmag_DENIS)
mag
phot.mag;em.IR.K
double
e_kmagd
? Error DENIS K magnitude (eKmag_DENIS)
mag
stat.error;phot.mag;em.IR.K
double
usnob1
USNO-B1 target designation (ID_USNOB1)
meta.id.cross
char
indexed
distub1
? Distance to USNO-B1 source (Dist_USNOB1)
arcsec
pos.angDistance
double
xub1
Cross-match quality flag USNO-B1 (MatchFlag_USNOB1) (9)
meta.code.qual
char
b1magub1
? USNO-B1 B1 magnitude (B1mag_USNOB1)
mag
phot.mag;em.opt.B
double
r1magub1
? USNO-B1 R1 magnitude (R1mag_USNOB1)
mag
phot.mag;em.opt.R
double
b2magub1
? USNO-B1 B2 magnitude (B2mag_USNOB1)
mag
phot.mag;em.opt.B
double
r2magub1
? USNO-B1 R2 magnitude (R2mag_USNOB1)
mag
phot.mag;em.opt.R
double
imagub1
? USNO-B1 I magnitude (Imag_USNOB1)
mag
phot.mag;em.opt.I
double
pmraub1
? Proper motion RA from USNO-B1 (pmRA_USNOB1)
mas/yr
pos.pm;pos.eq.ra
double
e_pmraub1
? Error on proper motion RA from USNO-B1
mas/yr
stat.error;pos.pm;pos.eq.ra
short
pmdeub1
? Proper motion DE from USNO-B1 (pmDE_USNOB1)
mas/yr
pos.pm;pos.eq.dec
double
e_pmdeub1
? Error on proper motion DE from USNO-B1
mas/yr
stat.error;pos.pm;pos.eq.dec
short
obsdate
! Observation date (Obsdate)
'YYYY-MM-DD'
time.epoch;obs
double
fieldname
! Name of RAVE field (FieldName)
meta.id;obs.field
char
fibernb
[1/150] Fiber number (FiberNumber)
meta.note
double
platenb
[1/3] Plate number (PlateNumber)
meta.id;obs.field
double
mjdobs
Modified Julian date of observation (MJD_OBS)
d
time.epoch
double
lststart
Exposure start in Local sideral time (LST_start)
deg
time.start;obs.exposure
char
lstend
Exposure end in local sideral time (LST_end)
deg
time.end;obs.exposure
char
utcstart
Exposure start in UTC (UTC_start)
deg
time.start;obs.exposure
char
utcend
Exposure end in UTC (UTC_end)
deg
time.end;obs.exposure
char
external.ravedr5_gra
The Radial Velocity Experiment (RAVE): fifth data release (DR5). Astroseismic gravities (RAVE_Gravity_SC.dat). RAVE DR5 is the fifth data release from a magnitude-limited (9 < I < 12 mag) survey of stars randomly selected in the Southern Hemisphere. The RAVE medium-resolution spectra (R ~ 7500) covering the Ca-triplet region (8410-8795 Angstrom) span the complete time frame from the start of RAVE observations in 2003 to their completion in 2013. Radial velocities from 520,781 spectra of 457,588 unique stars are presented, of which 255,922 stellar observations have parallaxes and proper motions from the Tycho-Gaia astrometric solution in Gaia DR1. For the main DR5 catalogue, stellar parameters (effective temperature, surface gravity, and overall metallicity) are computed using the RAVE DR4 stellar pipeline, but calibrated using recent K2 Campaign 1 seismic gravities and Gaia benchmark stars, as well as results obtained from high-resolution studies. Also included are temperatures from the Infrared Flux Method, and a catalogue of red giant stars in the de-reddened color {(J-{Ks})}_0 interval (0.50, 0.85) for which the gravities were calibrated based only on seismology. Further data products for subsamples of the RAVE stars include individual abundances for Mg, Al, Si, Ca, Ti, Fe, and Ni, and distances found using isochrones. Each RAVE spectrum is complemented by an error spectrum, which has been used to determine uncertainties on the parameters. Data retrieved using the VizieR catalogue access tool, CDS, Strasbourg, France (VizieR catalogue: III/279). Reference paper: https://ui.adsabs.harvard.edu/abs/2017AJ....153...75K/abstract (DOI: 10.3847/1538-3881/153/2/75)
name
! Target designation (RAVE_OBS_ID)
meta.id;meta.main
char
indexed
loggsc
? Log gravity calibrated astroseismically (logg_SC)
cm.s**-2
phys.gravity
double
indexed
e_loggsc
? Error on loggSC (elogg_SC)
cm.s**-2
stat.error
double
flag050
[0/1] Difference between loggSC and loggK less than 0.5dex (1=true, 0=false) (Flag050)
meta.code.error
short
flag075
[0/1]? Difference between loggSC and loggK less than 0.75dex (1=true, 0=false) (Flag075)
meta.code.error
short
flagm
[0/1]? Normal star, meaning c1-c20 are all "n" (1=true, 0=false) (Flag_M)
meta.code.error
short
teffir
? Temperature from infrared flux (Teff_IR)
K
phys.temperature
short
mg_h
? Abundance of Mg (Mg) (2)
phys.abund
double
o_mg_h
? Number of used spectral lines for calculation (Mg_N)
meta.number
short
al_h
? Abundance of Al (Al) (2)
phys.abund
double
o_al_h
? Number of used spectral lines for calculation (Al_N)
meta.number
short
si_h
? Abundance of Si (Si) (2)
phys.abund
double
o_si_h
? Number of used spectral lines for calculation (Si_N)
meta.number
short
ti_h
? Abundance of Ti (Ti) (2)
phys.abund
double
o_ti_h
? Number of used spectral lines for calculation (Ti_N)
meta.number
short
fe_h
? Abundance of Fe (Fe) (2)
phys.abund
double
o_fe_h
? Number of used spectral lines for calculation (Fe_N)
meta.number
short
ni_h
? Abundance of Ni (Ni) (2)
phys.abund
double
o_ni_h
? Number of used spectral lines for calculation (Ni_N)
meta.number
short
a_fe_c
? Alpha-enhancement from chemical pipeline (Alpha_c)
phys.abund
double
chisqc
? Chi-square of chemical pipeline (CHISQ_c) (2)
meta.note
double
fracc
? Fraction of spectrum used for calculation of abundances (frac_c)
stat.fit.param
double
avschl
? Total extinction in V-band from Schlegel et al. (1998ApJ...500..525S) (AV_Schlegel)
mag
phys.absorption;em.opt.V
double
dist
? Spectrophotometric distance (distance) (1)
kpc
pos.angDistance
double
e_dist
? Error on distance (edistance) (1)
kpc
stat.error
double
logav
? Log Av extinction (log_Av) (1)
phys.absorption
double
e_logav
? Error on LogAv (elog_Av) (1)
stat.error
double
plx
? Spectrophotometric parallax (parallax) (1)
mas
pos.parallax.spect
double
e_plx
? Error on plx (eparallax) (1)
mas
stat.error;pos.parallax
double
dm
? Distance modulus (DistanceModulus_Binney) (1)
phot.mag.distMod
double
e_dm
? Error on DM (eDistanceModulus_Binney) (1)
stat.error
double
ffb
? Fit flag see sec.3 of Binney et al. (2014MNRAS.437..351B) (Fit_Flag_Binney)
meta.code
short
fqb
? Fit quality "F" given by Eq. 15 of Binney et al. (2014MNRAS.437..351B) (FitQuality_Binney)
meta.code.qual
short
ngauss
? Number of components required for multi-Gaussian distance modulus fit (N_Gauss_fit)
meta.number
short
gm1
? Mean of 1st Gaussian (Gauss_mean_1)
src.sample;stat.mean
double
gs1
? Sigma of 1st Gaussian (Gauss_sigma_1)
stat.error
double
gf1
? Normalisation of 1st Gaussian (Gauss_frac_1)
meta.note
double
gm2
? Mean of 2nd Gaussian (Gauss_mean_2)
src.sample;stat.mean
double
gs2
? Sigma of 2nd Gaussian (Gauss_sigma_2)
stat.error
double
gf2
? Normalisation of 2nd Gaussian (Gauss_frac_2)
meta.note
double
gm3
? Mean of 3rd Gaussian (Gauss_mean_3)
src.sample;stat.mean
double
gs3
? Sigma of 3rd Gaussian (Gauss_sigma_3)
stat.error
double
gf3
? Normalisation of 3rd Gaussian (Gauss_frac_3)
meta.note
double
external.ravedr5_on
The Radial Velocity Experiment (RAVE): fifth data release (DR5). Stellar parameters from the "Cannon". RAVE DR5 is the fifth data release from a magnitude-limited (9 < I < 12 mag) survey of stars randomly selected in the Southern Hemisphere. The RAVE medium-resolution spectra (R ~ 7500) covering the Ca-triplet region (8410-8795 Angstrom) span the complete time frame from the start of RAVE observations in 2003 to their completion in 2013. Radial velocities from 520,781 spectra of 457,588 unique stars are presented, of which 255,922 stellar observations have parallaxes and proper motions from the Tycho-Gaia astrometric solution in Gaia DR1. For the main DR5 catalogue, stellar parameters (effective temperature, surface gravity, and overall metallicity) are computed using the RAVE DR4 stellar pipeline, but calibrated using recent K2 Campaign 1 seismic gravities and Gaia benchmark stars, as well as results obtained from high-resolution studies. Also included are temperatures from the Infrared Flux Method, and a catalogue of red giant stars in the de-reddened color {(J-{Ks})}_0 interval (0.50, 0.85) for which the gravities were calibrated based only on seismology. Further data products for subsamples of the RAVE stars include individual abundances for Mg, Al, Si, Ca, Ti, Fe, and Ni, and distances found using isochrones. Each RAVE spectrum is complemented by an error spectrum, which has been used to determine uncertainties on the parameters. Data retrieved using the VizieR catalogue access tool, CDS, Strasbourg, France (VizieR catalogue: III/279). Reference paper: https://ui.adsabs.harvard.edu/abs/2017AJ....153...75K/abstract (DOI: 10.3847/1538-3881/153/2/75)
name
! Target designation (RAVE_OBS_ID)
meta.id;meta.main
char
indexed
primary
rave
! RAVE designation(JHHMMSS.S+DDMMSS) (RAVEID)
meta.id
char
indexed
primary
hrv
Heliocentric radial velocity (HRV)
km/s
spect.dopplerVeloc;pos.heliocentric
double
indexed
primary
e_hrv
Error on HRV (eHRV)
km/s
stat.error
double
s_hrv
? Standard deviation in HRV from 10 resampled spectra (StdDev_HRV)
km/s
stat.stdev
double
s_med_hrv
? Median absolute deviation in HRV from 10 resampled spectra (MAD_HRV)
km/s
stat.stdev;em.wl.central;stat.median
double
r
Tonry-Davis R correlation coefficient (CorrelationCoeff)
stat.correlation
double
hcp
Height of correlation peak (PeakHeight)
stat.correlation
double
wcp
Width of correlation peak (PeakWidth)
km/s
stat.correlation
double
crv
Zero point correction applied HRV (CorrectionRV)
km/s
meta.code
double
hrvsky
Measured HRV of sky (SkyRV)
km/s
instr.skyLevel
double
e_hrvsky
Error HRV of sky (eSkyRV)
km/s
stat.error
double
rsky
Correlation Coefficient R of sky (SkyCorrelationCoeff)
stat.correlation
double
vrots
? Rotational Velocity from SPARV pipeline (Vrot_SPARV)
km/s
phys.veloc.rotat
short
indexed
primary
zpflag
Quality Flag for ZeroPoint correction (ZeroPointFLAG) (1)
meta.code.qual
char
c1
1st minimum distance (c1) (2)
meta.code
char
c2
2nd minimum distance (c2) (2)
meta.code
char
c3
3rd minimum distance (c3) (2)
meta.code
char
c4
4th minimum distance (c4) (2)
meta.code
char
c5
5th minimum distance (c5) (2)
meta.code
char
c6
6th minimum distance (c6) (2)
meta.code
char
c7
7th minimum distance (c7) (2)
meta.code
char
c8
8th minimum distance (c8) (2)
meta.code
char
c9
9th minimum distance (c9) (2)
meta.code
char
c10
10th minimum distance (c10) (2)
meta.code
char
c11
11th minimum distance (c11) (2)
meta.code
char
c12
12th minimum distance (c12) (2)
meta.code
char
c13
13th minimum distance (c13) (2)
meta.code
char
c14
14th minimum distance (c14) (2)
meta.code
char
c15
15th minimum distance (c15) (2)
meta.code
char
c16
16th minimum distance (c16) (2)
meta.code
char
c17
17th minimum distance (c17) (2)
meta.code
char
c18
18th minimum distance (c18) (2)
meta.code
char
c19
19th minimum distance (c19) (2)
meta.code
char
c20
20th minimum distance (c20) (2)
meta.code
char
teff
? Effective temperature (TEFF) (3)
K
phys.temperature.effective
double
indexed
primary
logg
? Log gravity (LOGG) (3)
cm.s**-2
phys.gravity
double
indexed
primary
fe_h
? Abundance of Fe (FE_H) (3)
phys.abund
double
indexed
primary
o_h
? Abundance of O (O_H) (3)
phys.abund
double
mg_h
? Abundance of Mg (MG_H) (3)
phys.abund
double
al_h
? Abundance of Al (AL_H) (3)
phys.abund
double
si_h
? Abundance of Si (SI_H) (3)
phys.abund
double
ca_h
? Abundance of Ca (CA_H) (3)
phys.abund
double
ni_h
? Abundance of Ni (NI_H) (3)
phys.abund
double
e_teff
? Error on effective temperature (e_TEFF) (3)
K
stat.error;phys.temperature.effective
double
e_logg
? Error on log gravity (E_LOGG) (3)
cm.s**-2
stat.error
double
e_fe_h
? Error on [Fe/H] (E_FE_H) (3)
stat.error;phys.abund.Fe
double
e_o_h
? Error on [O/H] (E_O_H) (3)
stat.error;phys.abund
double
e_mg_h
? Error on [Mg/H] (E_MG_H) (3)
stat.error;phys.abund
double
e_al_h
? Error on [Al/H] (E_AL_H) (3)
stat.error;phys.abund
double
e_si_h
? Error on [Si/H] (E_SI_H) (3)
stat.error;phys.abund
double
e_ca_h
? Error on [Ca/H] (E_CA_H) (3)
stat.error;phys.abund
double
e_ni_h
? Error on [Ni/H] (E_NI_H) (3)
stat.error;phys.abund
double
snr
? Signal to noise ratio (SNR) (3)
stat.snr
double
rchisq
? Chi-square (R_CHI_SQ) (3)
meta.note
double
qc
Quality flag (QC) (3)
meta.code.qual
short
ra
Right ascension (J2000.0, Ep=J2000) (RAdeg)
deg
pos.eq.ra;meta.main
double
indexed
primary
dec
Declination (J2000.0, Ep=J2000) (DEdeg)
deg
pos.eq.dec;meta.main
double
indexed
primary
external.ravedr6
This summary table contains a selection of values from several RAVE DR6 tables. The selection of fields is motivated by the findings in the RAVE DR6 papers (DOI:10.3847/1538-3881/ab9ab9, DOI:10.3847/1538-3881/ab9ab8). The RAVE DR6 release contains 22 tables and many more results from other pipelines. The summary in this table draws from the following RAVE DR6 tables: ravedr6.dr6_rave_sparv (DOI:10.17876/rave/dr.6/001): radial velocities and errors; ravedr6.dr6_obsdata (DOI:10.17876/rave/dr.6/002): input coordinates of the RAVE observations; rave_dr6.dr6_bdasp (DOI:10.107876/rave/dr.6/008): stellar atmospheric parameters as derived by pipeline BDASP ("Enhanced stellar atmospheric parameters inferred via a Bayesian pipeline using Gaia DR2 astrometric priors", DOI:10.3847/1538-3881/ab9ab8); ravedr6.dr6_madera (DOI:10.17876/rave/dr.6/006): values [M/H]; ravedr6.dr6_gauguin_bdasp (DOI:10.17876/rave/dr.6/010): element abundances for selected elements ("Abundances of the elements Fe, Al, and Ni, as well as an overall [alpha/Fe] ratio obtained using a new pipeline based on the GAUGUIN optimization method that is able to deal with variable signal-to-noise ratios", DOI:10.3847/1538-3881/ab9ab8). This table has been created in March 2022 based on an earlier version created by Harry Enke and Yori Fournier (AIP) in October 2021 for the Gaia ESA Archive using a custom query on the AIP server.
rave_obs_id
Unique Identifier for RAVE objects, Observation Date, Fieldname, Fibernumber
meta.id
char
indexed
primary
ra_input
Right ascension (J2000)
deg
pos.eq.ra;meta.main
double
indexed
primary
dec_input
Declination (J2000)
deg
pos.eq.dec;meta.main
double
indexed
primary
hrv_sparv
Heliocentric radial velocity
km/s
spect.dopplerVeloc;pos.heliocentric
float
indexed
primary
hrv_error_sparv
Error of heliocentric radial velocity
km/s
stat.error;spect.dopplerVeloc;pos.heliocentric
float
snr_med_sparv
Signal/Noise Ratio
stat.snr
double
age_bdasp
Age estimation
yr
time.age
double
indexed
primary
age_error_bdasp
Error of age estimation
yr
stat.error;time.age
double
teff_bdasp
Effective temperature
K
phys.temperature.effective
double
indexed
primary
teff_error_bdasp
Error of Effective Temperature
K
stat.error;phys.temperature.effective
double
logg_bdasp
Log gravity
log(cm/s**2)
phys.gravity
float
indexed
primary
logg_error_bdasp
Error of Log gravity
log(cm/s**2)
stat.error;phys.gravity
float
mass_bdasp
Mass
solMass
phys.mass
float
indexed
primary
mass_error_bdasp
Error of Mass
solMass
stat.error;phys.mass
float
log_a_v_bdasp
log_10(Av) optical extinction
log(mag)
phys.absorption
float
indexed
primary
log_a_v_error_bdasp
error log_10(Av) optical extinction
log(mag)
phys.absorption
float
m_h_cal_madera
Calibrated abundance of [M/H]
phys.abund.Z
float
indexed
primary
m_h_error_madera
Error of abundance of [M/H]
stat.error;phys.abund.Z
float
fe_h_gauguin
[Fe/H] abundance of Fe
phys.abund.Fe
float
indexed
primary
fe_h_error_gauguin
Error of [Fe/H] abundance of Fe
stat.error;phys.abund.Fe
float
fe_h_chisq_gauguin
Chi-square of [Fe/H] abundance of Fe
stat.fit.chi2;phys.abund.Fe
float
fe_h_nl_gauguin
Number of used spectral lines in calc. of [Fe/H]
meta.number
short
al_h_gauguin
[Al/H] abundance of Al
phys.abund
float
indexed
primary
al_h_error_gauguin
Error of [Al/H] abundance of Al
stat.error;phys.abund
float
al_h_chisq_gauguin
Chi-square of [Al/H] abundance of Al
stat.fit.chi2;phys.abund
float
al_h_nl_gauguin
Number of used spectral lines in calc. of [Al/H]
meta.number
short
ni_h_gauguin
[Ni/H] abundance of Ni
phys.abund
float
indexed
primary
ni_h_error_gauguin
Error of [Ni/H] abundance of Ni
stat.error;phys.abund
float
ni_h_chisq_gauguin
Chi-square of [Ni/H] abundance of Ni
stat.fit.chi2;phys.abund
float
ni_h_nl_gauguin
Number of used spectral lines in calc. of [Ni/H]
meta.number
short
alpha_fe_gauguin
[Alpha/Fe]
phys.abund.Z
float
indexed
primary
alpha_fe_error_gauguin
Error of [Alpha/Fe]
stat.error;phys.abund.Z
float
alpha_fe_chisq_gauguin
Chi-square of [Alpha/Fe]
stat.fit.chi2;phys.abund.Z
float
external.sdssdr13_photoprimary
DR13 photometric catalogue quantities from SDSS imaging. The table includes only primary sources. It is a copy of the CasJobs PhotoPrimary view of table PhotoObjAll. CasJobs is available through SciServer (http://www.sciserver.org/). This table contains the associated photometric parameters measured by the photometric pipeline (PHOTO), and astrometrically and photometrically calibrated for all photo objects that are primary (the best version of the object). Star: Primary objects that are classified as stars. Galaxy: Primary objects that are classified as galaxies. Sky: Primary objects which are sky samples. Unknown: Primary objects which are none of the above. Each physical object on the sky has only one primary object associated with it. Upon subsequent observations, secondary objects are generated. Since the survey stripes overlap, there will be secondary objects for over 10% of all primary objects, and in the southern stripes there will be a multitude of secondary objects for each primary (i.e., reobservations). Reference paper: https://ui.adsabs.harvard.edu/abs/2017ApJS..233...25A/abstract (DOI: 10.3847/1538-4365/aa8992)
objid
Unique SDSS identifier composed from [skyVersion,rerun,run,camcol,field,obj].
long
indexed
primary
skyversion
Layer of catalog (currently only one layer, 0; 0-15 available)
short
run
Run number
short
rerun
Rerun number
short
camcol
Camera column
short
field
Field number
short
obj
The object id within a field. Usually changes between reruns of the same field
short
mode
1: primary, 2: secondary, 3: other
short
nchild
Number
short
type
Type classification of the object (star, galaxy, cosmic ray, etc.)
short
clean
Clean photometry flag (1=clean, 0=unclean).
int
probpsf
Probability that the object is a star. Currently 0 if type == 3 (galaxy), 1 if type == 6 (star).
float
insidemask
Flag to indicate whether object is inside a mask and why
short
flags
Photo Object Attribute Flags
long
rowc
Row center position (r-band coordinates)
pixel
float
rowcerr
Row center position error (r-band coordinates)
pixel
float
colc
Column center position (r-band coordinates)
pixel
float
colcerr
Column center position error (r-band coordinates)
pixel
float
rowv
Row-component of objects velocity
deg.d**-1
float
rowverr
Row-component of objects velocity error
deg.d**-1
float
colv
Column-component of objects velocity
deg.d**-1
float
colverr
Column-component of objects velocity error
deg.d**-1
float
rowc_u
Row center, u-band
pixel
float
rowc_g
Row center, g-band
pixel
float
rowc_r
Row center, r-band
pixel
float
rowc_i
Row center, i-band
pixel
float
rowc_z
Row center, z-band
pixel
float
rowcerr_u
ERROR Row center error, u-band
pixel
float
rowcerr_g
ERROR Row center error, g-band
pixel
float
rowcerr_r
ERROR Row center error, r-band
pixel
float
rowcerr_i
ERROR Row center error, i-band
pixel
float
rowcerr_z
ERROR Row center error, z-band
pixel
float
colc_u
Column center, u-band
pixel
float
colc_g
Column center, g-band
pixel
float
colc_r
Column center, r-band
pixel
float
colc_i
Column center, i-band
pixel
float
colc_z
Column center, z-band
pixel
float
colcerr_u
Column center error, u-band
pixel
float
colcerr_g
Column center error, g-band
pixel
float
colcerr_r
Column center error, r-band
pixel
float
colcerr_i
Column center error, i-band
pixel
float
colcerr_z
Column center error, z-band
pixel
float
sky_u
Sky flux at the center of object (allowing for siblings if blended).
float
sky_g
Sky flux at the center of object (allowing for siblings if blended).
float
sky_r
Sky flux at the center of object (allowing for siblings if blended).
float
sky_i
Sky flux at the center of object (allowing for siblings if blended).
float
sky_z
Sky flux at the center of object (allowing for siblings if blended).
float
skyivar_u
Sky flux inverse variance
float
skyivar_g
Sky flux inverse variance
float
skyivar_r
Sky flux inverse variance
float
skyivar_i
Sky flux inverse variance
float
skyivar_z
Sky flux inverse variance
float
psfmag_u
PSF magnitude
mag
float
psfmag_g
PSF magnitude
mag
float
psfmag_r
PSF magnitude
mag
float
psfmag_i
PSF magnitude
mag
float
psfmag_z
PSF magnitude
mag
float
psfmagerr_u
PSF magnitude error
mag
float
psfmagerr_g
PSF magnitude error
mag
float
psfmagerr_r
PSF magnitude error
mag
float
psfmagerr_i
PSF magnitude error
mag
float
psfmagerr_z
PSF magnitude error
mag
float
fibermag_u
Magnitude in 3 arcsec diameter fiber radius
mag
float
fibermag_g
Magnitude in 3 arcsec diameter fiber radius
mag
float
fibermag_r
Magnitude in 3 arcsec diameter fiber radius
mag
float
fibermag_i
Magnitude in 3 arcsec diameter fiber radius
mag
float
fibermag_z
Magnitude in 3 arcsec diameter fiber radius
mag
float
fibermagerr_u
Error in magnitude in 3 arcsec diameter fiber radius
mag
float
fibermagerr_g
Error in magnitude in 3 arcsec diameter fiber radius
mag
float
fibermagerr_r
Error in magnitude in 3 arcsec diameter fiber radius
mag
float
fibermagerr_i
Error in magnitude in 3 arcsec diameter fiber radius
mag
float
fibermagerr_z
Error in magnitude in 3 arcsec diameter fiber radius
mag
float
fiber2mag_u
Magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2mag_g
Magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2mag_r
Magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2mag_i
Magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2mag_z
Magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2magerr_u
Error in magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2magerr_g
Error in magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2magerr_r
Error in magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2magerr_i
Error in magnitude in 2 arcsec diameter fiber radius
mag
float
fiber2magerr_z
Error in magnitude in 2 arcsec diameter fiber radius
mag
float
petromag_u
Petrosian magnitude
mag
float
indexed
petromag_g
Petrosian magnitude
mag
float
indexed
petromag_r
Petrosian magnitude
mag
float
indexed
petromag_i
Petrosian magnitude
mag
float
indexed
petromag_z
Petrosian magnitude
mag
float
indexed
petromagerr_u
Petrosian magnitude error
mag
float
petromagerr_g
Petrosian magnitude error
mag
float
petromagerr_r
Petrosian magnitude error
mag
float
petromagerr_i
Petrosian magnitude error
mag
float
petromagerr_z
Petrosian magnitude error
mag
float
psfflux_u
PSF flux
float
psfflux_g
PSF flux
float
psfflux_r
PSF flux
float
psfflux_i
PSF flux
float
psfflux_z
PSF flux
float
psffluxivar_u
PSF flux inverse variance
float
psffluxivar_g
PSF flux inverse variance
float
psffluxivar_r
PSF flux inverse variance
float
psffluxivar_i
PSF flux inverse variance
float
psffluxivar_z
PSF flux inverse variance
float
fiberflux_u
Flux in 3 arcsec diameter fiber radius
float
fiberflux_g
Flux in 3 arcsec diameter fiber radius
float
fiberflux_r
Flux in 3 arcsec diameter fiber radius
float
fiberflux_i
Flux in 3 arcsec diameter fiber radius
float
fiberflux_z
Flux in 3 arcsec diameter fiber radius
float
fiberfluxivar_u
Inverse variance in flux in 3 arcsec diameter fiber radius
float
fiberfluxivar_g
Inverse variance in flux in 3 arcsec diameter fiber radius
float
fiberfluxivar_r
Inverse variance in flux in 3 arcsec diameter fiber radius
float
fiberfluxivar_i
Inverse variance in flux in 3 arcsec diameter fiber radius
float
fiberfluxivar_z
Inverse variance in flux in 3 arcsec diameter fiber radius
float
fiber2flux_u
Flux in 2 arcsec diameter fiber radius
float
fiber2flux_g
Flux in 2 arcsec diameter fiber radius
float
fiber2flux_r
Flux in 2 arcsec diameter fiber radius
float
fiber2flux_i
Flux in 2 arcsec diameter fiber radius
float
fiber2flux_z
Flux in 2 arcsec diameter fiber radius
float
fiber2fluxivar_u
Inverse variance in flux in 2 arcsec diameter fiber radius
float
fiber2fluxivar_g
Inverse variance in flux in 2 arcsec diameter fiber radius
float
fiber2fluxivar_r
Inverse variance in flux in 2 arcsec diameter fiber radius
float
fiber2fluxivar_i
Inverse variance in flux in 2 arcsec diameter fiber radius
float
fiber2fluxivar_z
Inverse variance in flux in 2 arcsec diameter fiber radius
float
petroflux_u
Petrosian flux
float
petroflux_g
Petrosian flux
float
petroflux_r
Petrosian flux
float
petroflux_i
Petrosian flux
float
petroflux_z
Petrosian flux
float
petrofluxivar_u
Petrosian flux inverse variance
float
petrofluxivar_g
Petrosian flux inverse variance
float
petrofluxivar_r
Petrosian flux inverse variance
float
petrofluxivar_i
Petrosian flux inverse variance
float
petrofluxivar_z
Petrosian flux inverse variance
float
petrorad_u
Petrosian radius
arcsec
float
petrorad_g
Petrosian radius
arcsec
float
petrorad_r
Petrosian radius
arcsec
float
petrorad_i
Petrosian radius
arcsec
float
petrorad_z
Petrosian radius
arcsec
float
petroraderr_u
Petrosian radius error
arcsec
float
petroraderr_g
Petrosian radius error
arcsec
float
petroraderr_r
Petrosian radius error
arcsec
float
petroraderr_i
Petrosian radius error
arcsec
float
petroraderr_z
Petrosian radius error
arcsec
float
petror50_u
Radius containing 50% of Petrosian flux
arcsec
float
petror50_g
Radius containing 50% of Petrosian flux
arcsec
float
petror50_r
Radius containing 50% of Petrosian flux
arcsec
float
petror50_i
Radius containing 50% of Petrosian flux
arcsec
float
petror50_z
Radius containing 50% of Petrosian flux
arcsec
float
petror50err_u
Error in radius with 50% of Petrosian flux error
arcsec
float
petror50err_g
Error in radius with 50% of Petrosian flux error
arcsec
float
petror50err_r
Error in radius with 50% of Petrosian flux error
arcsec
float
petror50err_i
Error in radius with 50% of Petrosian flux error
arcsec
float
petror50err_z
Error in radius with 50% of Petrosian flux error
arcsec
float
petror90_u
Radius containing 90% of Petrosian flux
arcsec
float
petror90_g
Radius containing 90% of Petrosian flux
arcsec
float
petror90_r
Radius containing 90% of Petrosian flux
arcsec
float
petror90_i
Radius containing 90% of Petrosian flux
arcsec
float
petror90_z
Radius containing 90% of Petrosian flux
arcsec
float
petror90err_u
Error in radius with 90% of Petrosian flux error
arcsec
float
petror90err_g
Error in radius with 90% of Petrosian flux error
arcsec
float
petror90err_r
Error in radius with 90% of Petrosian flux error
arcsec
float
petror90err_i
Error in radius with 90% of Petrosian flux error
arcsec
float
petror90err_z
Error in radius with 90% of Petrosian flux error
arcsec
float
q_u
Stokes Q parameter
float
q_g
Stokes Q parameter
float
q_r
Stokes Q parameter
float
q_i
Stokes Q parameter
float
q_z
Stokes Q parameter
float
qerr_u
Stokes Q parameter error
float
qerr_g
Stokes Q parameter error
float
qerr_r
Stokes Q parameter error
float
qerr_i
Stokes Q parameter error
float
qerr_z
Stokes Q parameter error
float
u_u
Stokes U parameter
float
u_g
Stokes U parameter
float
u_r
Stokes U parameter
float
u_i
Stokes U parameter
float
u_z
Stokes U parameter
float
uerr_u
Stokes U parameter error
float
uerr_g
Stokes U parameter error
float
uerr_r
Stokes U parameter error
float
uerr_i
Stokes U parameter error
float
uerr_z
Stokes U parameter error
float
me1_u
Adaptive E1 shape measure (pixel coordinates)
float
me1_g
Adaptive E1 shape measure (pixel coordinates)
float
me1_r
Adaptive E1 shape measure (pixel coordinates)
float
me1_i
Adaptive E1 shape measure (pixel coordinates)
float
me1_z
Adaptive E1 shape measure (pixel coordinates)
float
me2_u
Adaptive E2 shape measure (pixel coordinates)
float
me2_g
Adaptive E2 shape measure (pixel coordinates)
float
me2_r
Adaptive E2 shape measure (pixel coordinates)
float
me2_i
Adaptive E2 shape measure (pixel coordinates)
float
me2_z
Adaptive E2 shape measure (pixel coordinates)
float
me1e1err_u
Covariance in E1/E1 shape measure (pixel coordinates)
float
me1e1err_g
Covariance in E1/E1 shape measure (pixel coordinates)
float
me1e1err_r
Covariance in E1/E1 shape measure (pixel coordinates)
float
me1e1err_i
Covariance in E1/E1 shape measure (pixel coordinates)
float
me1e1err_z
Covariance in E1/E1 shape measure (pixel coordinates)
float
me1e2err_u
Covariance in E1/E2 shape measure (pixel coordinates)
float
me1e2err_g
Covariance in E1/E2 shape measure (pixel coordinates)
float
me1e2err_r
Covariance in E1/E2 shape measure (pixel coordinates)
float
me1e2err_i
Covariance in E1/E2 shape measure (pixel coordinates)
float
me1e2err_z
Covariance in E1/E2 shape measure (pixel coordinates)
float
me2e2err_u
Covariance in E2/E2 shape measure (pixel coordinates)
float
me2e2err_g
Covariance in E2/E2 shape measure (pixel coordinates)
float
me2e2err_r
Covariance in E2/E2 shape measure (pixel coordinates)
float
me2e2err_i
Covariance in E2/E2 shape measure (pixel coordinates)
float
me2e2err_z
Covariance in E2/E2 shape measure (pixel coordinates)
float
mrrcc_u
Adaptive ( + ) (pixel coordinates)
float
mrrcc_g
Adaptive ( + ) (pixel coordinates)
float
mrrcc_r
Adaptive ( + ) (pixel coordinates)
float
mrrcc_i
Adaptive ( + ) (pixel coordinates)
float
mrrcc_z
Adaptive ( + ) (pixel coordinates)
float
mrrccerr_u
Error in adaptive ( + ) (pixel coordinates)
float
mrrccerr_g
Error in adaptive ( + ) (pixel coordinates)
float
mrrccerr_r
Error in adaptive ( + ) (pixel coordinates)
float
mrrccerr_i
Error in adaptive ( + ) (pixel coordinates)
float
mrrccerr_z
Error in adaptive ( + ) (pixel coordinates)
float
mcr4_u
Adaptive fourth moment of object (pixel coordinates)
float
mcr4_g
Adaptive fourth moment of object (pixel coordinates)
float
mcr4_r
Adaptive fourth moment of object (pixel coordinates)
float
mcr4_i
Adaptive fourth moment of object (pixel coordinates)
float
mcr4_z
Adaptive fourth moment of object (pixel coordinates)
float
me1psf_u
Adaptive E1 for PSF (pixel coordinates)
float
me1psf_g
Adaptive E1 for PSF (pixel coordinates)
float
me1psf_r
Adaptive E1 for PSF (pixel coordinates)
float
me1psf_i
Adaptive E1 for PSF (pixel coordinates)
float
me1psf_z
Adaptive E1 for PSF (pixel coordinates)
float
me2psf_u
Adaptive E2 for PSF (pixel coordinates)
float
me2psf_g
Adaptive E2 for PSF (pixel coordinates)
float
me2psf_r
Adaptive E2 for PSF (pixel coordinates)
float
me2psf_i
Adaptive E2 for PSF (pixel coordinates)
float
me2psf_z
Adaptive E2 for PSF (pixel coordinates)
float
mrrccpsf_u
Adaptive ( + ) for PSF (pixel coordinates)
float
mrrccpsf_g
Adaptive ( + ) for PSF (pixel coordinates)
float
mrrccpsf_r
Adaptive ( + ) for PSF (pixel coordinates)
float
mrrccpsf_i
Adaptive ( + ) for PSF (pixel coordinates)
float
mrrccpsf_z
Adaptive ( + ) for PSF (pixel coordinates)
float
mcr4psf_u
Adaptive fourth moment for PSF (pixel coordinates)
float
mcr4psf_g
Adaptive fourth moment for PSF (pixel coordinates)
float
mcr4psf_r
Adaptive fourth moment for PSF (pixel coordinates)
float
mcr4psf_i
Adaptive fourth moment for PSF (pixel coordinates)
float
mcr4psf_z
Adaptive fourth moment for PSF (pixel coordinates)
float
devrad_u
de Vaucouleurs fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
devrad_g
de Vaucouleurs fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
devrad_r
de Vaucouleurs fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
devrad_i
de Vaucouleurs fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
devrad_z
de Vaucouleurs fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
devraderr_u
Error in de Vaucouleurs fit scale radius error
arcsec
float
devraderr_g
Error in de Vaucouleurs fit scale radius error
arcsec
float
devraderr_r
Error in de Vaucouleurs fit scale radius error
arcsec
float
devraderr_i
Error in de Vaucouleurs fit scale radius error
arcsec
float
devraderr_z
Error in de Vaucouleurs fit scale radius error
arcsec
float
devab_u
de Vaucouleurs fit b/a
float
devab_g
de Vaucouleurs fit b/a
float
devab_r
de Vaucouleurs fit b/a
float
devab_i
de Vaucouleurs fit b/a
float
devab_z
de Vaucouleurs fit b/a
float
devaberr_u
de Vaucouleurs fit b/a error
float
devaberr_g
de Vaucouleurs fit b/a error
float
devaberr_r
de Vaucouleurs fit b/a error
float
devaberr_i
de Vaucouleurs fit b/a error
float
devaberr_z
de Vaucouleurs fit b/a error
float
devphi_u
de Vaucouleurs fit position angle (+N thru E)
deg
float
devphi_g
de Vaucouleurs fit position angle (+N thru E)
deg
float
devphi_r
de Vaucouleurs fit position angle (+N thru E)
deg
float
devphi_i
de Vaucouleurs fit position angle (+N thru E)
deg
float
devphi_z
de Vaucouleurs fit position angle (+N thru E)
deg
float
devmag_u
de Vaucouleurs magnitude fit
mag
float
devmag_g
de Vaucouleurs magnitude fit
mag
float
devmag_r
de Vaucouleurs magnitude fit
mag
float
devmag_i
de Vaucouleurs magnitude fit
mag
float
devmag_z
de Vaucouleurs magnitude fit
mag
float
devmagerr_u
de Vaucouleurs magnitude fit error
mag
float
devmagerr_g
de Vaucouleurs magnitude fit error
mag
float
devmagerr_r
de Vaucouleurs magnitude fit error
mag
float
devmagerr_i
de Vaucouleurs magnitude fit error
mag
float
devmagerr_z
de Vaucouleurs magnitude fit error
mag
float
devflux_u
de Vaucouleurs magnitude fit
float
devflux_g
de Vaucouleurs magnitude fit
float
devflux_r
de Vaucouleurs magnitude fit
float
devflux_i
de Vaucouleurs magnitude fit
float
devflux_z
de Vaucouleurs magnitude fit
float
devfluxivar_u
de Vaucouleurs magnitude fit inverse variance
float
devfluxivar_g
de Vaucouleurs magnitude fit inverse variance
float
devfluxivar_r
de Vaucouleurs magnitude fit inverse variance
float
devfluxivar_i
de Vaucouleurs magnitude fit inverse variance
float
devfluxivar_z
de Vaucouleurs magnitude fit inverse variance
float
exprad_u
Exponential fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
exprad_g
Exponential fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
exprad_r
Exponential fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
exprad_i
Exponential fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
exprad_z
Exponential fit scale radius, here defined to be the same as the half-light radius, also called the effective radius.
arcsec
float
expraderr_u
Exponential fit scale radius error
arcsec
float
expraderr_g
Exponential fit scale radius error
arcsec
float
expraderr_r
Exponential fit scale radius error
arcsec
float
expraderr_i
Exponential fit scale radius error
arcsec
float
expraderr_z
Exponential fit scale radius error
arcsec
float
expab_u
Exponential fit b/a
float
expab_g
Exponential fit b/a
float
expab_r
Exponential fit b/a
float
expab_i
Exponential fit b/a
float
expab_z
Exponential fit b/a
float
expaberr_u
Exponential fit b/a
float
expaberr_g
Exponential fit b/a
float
expaberr_r
Exponential fit b/a
float
expaberr_i
Exponential fit b/a
float
expaberr_z
Exponential fit b/a
float
expphi_u
Exponential fit position angle (+N thru E)
deg
float
expphi_g
Exponential fit position angle (+N thru E)
deg
float
expphi_r
Exponential fit position angle (+N thru E)
deg
float
expphi_i
Exponential fit position angle (+N thru E)
deg
float
expphi_z
Exponential fit position angle (+N thru E)
deg
float
expmag_u
Exponential fit magnitude
mag
float
expmag_g
Exponential fit magnitude
mag
float
expmag_r
Exponential fit magnitude
mag
float
expmag_i
Exponential fit magnitude
mag
float
expmag_z
Exponential fit magnitude
mag
float
expmagerr_u
Exponential fit magnitude error
mag
float
expmagerr_g
Exponential fit magnitude error
mag
float
expmagerr_r
Exponential fit magnitude error
mag
float
expmagerr_i
Exponential fit magnitude error
mag
float
expmagerr_z
Exponential fit magnitude error
mag
float
modelmag_u
better of DeV/Exp magnitude fit
mag
float
modelmag_g
better of DeV/Exp magnitude fit
mag
float
modelmag_r
better of DeV/Exp magnitude fit
mag
float
modelmag_i
better of DeV/Exp magnitude fit
mag
float
modelmag_z
better of DeV/Exp magnitude fit
mag
float
modelmagerr_u
Error in better of DeV/Exp magnitude fit
mag
float
modelmagerr_g
Error in better of DeV/Exp magnitude fit
mag
float
modelmagerr_r
Error in better of DeV/Exp magnitude fit
mag
float
modelmagerr_i
Error in better of DeV/Exp magnitude fit
mag
float
modelmagerr_z
Error in better of DeV/Exp magnitude fit
mag
float
cmodelmag_u
DeV+Exp magnitude
mag
float
cmodelmag_g
DeV+Exp magnitude
mag
float
cmodelmag_r
DeV+Exp magnitude
mag
float
cmodelmag_i
DeV+Exp magnitude
mag
float
cmodelmag_z
DeV+Exp magnitude
mag
float
cmodelmagerr_u
DeV+Exp magnitude error
mag
float
cmodelmagerr_g
DeV+Exp magnitude error
mag
float
cmodelmagerr_r
DeV+Exp magnitude error
mag
float
cmodelmagerr_i
DeV+Exp magnitude error
mag
float
cmodelmagerr_z
DeV+Exp magnitude error
mag
float
expflux_u
Exponential fit flux
float
expflux_g
Exponential fit flux
float
expflux_r
Exponential fit flux
float
expflux_i
Exponential fit flux
float
expflux_z
Exponential fit flux
float
expfluxivar_u
Exponential fit flux inverse variance
float
expfluxivar_g
Exponential fit flux inverse variance
float
expfluxivar_r
Exponential fit flux inverse variance
float
expfluxivar_i
Exponential fit flux inverse variance
float
expfluxivar_z
Exponential fit flux inverse variance
float
modelflux_u
better of DeV/Exp flux fit
float
modelflux_g
better of DeV/Exp flux fit
float
modelflux_r
better of DeV/Exp flux fit
float
modelflux_i
better of DeV/Exp flux fit
float
modelflux_z
better of DeV/Exp flux fit
float
modelfluxivar_u
Inverse variance in better of DeV/Exp flux fit
float
modelfluxivar_g
Inverse variance in better of DeV/Exp flux fit
float
modelfluxivar_r
Inverse variance in better of DeV/Exp flux fit
float
modelfluxivar_i
Inverse variance in better of DeV/Exp flux fit
float
modelfluxivar_z
Inverse variance in better of DeV/Exp flux fit
float
cmodelflux_u
better of DeV+Exp flux
float
cmodelflux_g
better of DeV+Exp flux
float
cmodelflux_r
better of DeV+Exp flux
float
cmodelflux_i
better of DeV+Exp flux
float
cmodelflux_z
better of DeV+Exp flux
float
cmodelfluxivar_u
Inverse variance in DeV+Exp flux fit
float
cmodelfluxivar_g
Inverse variance in DeV+Exp flux fit
float
cmodelfluxivar_r
Inverse variance in DeV+Exp flux fit
float
cmodelfluxivar_i
Inverse variance in DeV+Exp flux fit
float
cmodelfluxivar_z
Inverse variance in DeV+Exp flux fit
float
aperflux7_u
Aperture flux within 7.3 arcsec
float
aperflux7_g
Aperture flux within 7.3 arcsec
float
aperflux7_r
Aperture flux within 7.3 arcsec
float
aperflux7_i
Aperture flux within 7.3 arcsec
float
aperflux7_z
Aperture flux within 7.3 arcsec
float
aperflux7ivar_u
Inverse variance of aperture flux within 7.3 arcsec
float
aperflux7ivar_g
Inverse variance of aperture flux within 7.3 arcsec
float
aperflux7ivar_r
Inverse variance of aperture flux within 7.3 arcsec
float
aperflux7ivar_i
Inverse variance of aperture flux within 7.3 arcsec
float
aperflux7ivar_z
Inverse variance of aperture flux within 7.3 arcsec
float
lnlstar_u
Star ln(likelihood)
float
lnlstar_g
Star ln(likelihood)
float
lnlstar_r
Star ln(likelihood)
float
lnlstar_i
Star ln(likelihood)
float
lnlstar_z
Star ln(likelihood)
float
lnlexp_u
Exponential disk fit ln(likelihood)
float
lnlexp_g
Exponential disk fit ln(likelihood)
float
lnlexp_r
Exponential disk fit ln(likelihood)
float
lnlexp_i
Exponential disk fit ln(likelihood)
float
lnlexp_z
Exponential disk fit ln(likelihood)
float
lnldev_u
de Vaucouleurs fit ln(likelihood)
float
lnldev_g
de Vaucouleurs fit ln(likelihood)
float
lnldev_r
de Vaucouleurs fit ln(likelihood)
float
lnldev_i
de Vaucouleurs fit ln(likelihood)
float
lnldev_z
de Vaucouleurs fit ln(likelihood)
float
fracdev_u
Weight of deV component in deV+Exp model
float
fracdev_g
Weight of deV component in deV+Exp model
float
fracdev_r
Weight of deV component in deV+Exp model
float
fracdev_i
Weight of deV component in deV+Exp model
float
fracdev_z
Weight of deV component in deV+Exp model
float
flags_u
Object detection flags per band
long
flags_g
Object detection flags per band
long
flags_r
Object detection flags per band
long
flags_i
Object detection flags per band
long
flags_z
Object detection flags per band
long
type_u
Object type classification per band
int
type_g
Object type classification per band
int
type_r
Object type classification per band
int
type_i
Object type classification per band
int
type_z
Object type classification per band
int
probpsf_u
Probablity object is a star in each filter.
float
probpsf_g
Probablity object is a star in each filter.
float
probpsf_r
Probablity object is a star in each filter.
float
probpsf_i
Probablity object is a star in each filter.
float
probpsf_z
Probablity object is a star in each filter.
float
ra
J2000 Right Ascension (r-band)
deg
double
indexed
primary
dec
J2000 Declination (r-band)
deg
double
indexed
primary
cx
unit vector for ra+dec
double
cy
unit vector for ra+dec
double
cz
unit vector for ra+dec
double
raerr
Error in RA (* cos(Dec), that is, proper units)
arcsec
double
decerr
Error in Dec
arcsec
double
b
Galactic latitude
deg
double
indexed
l
Galactic longitude
deg
double
indexed
offsetra_u
filter position RA minus final RA (* cos(Dec), that is, proper units)
arcsec
float
offsetra_g
filter position RA minus final RA (* cos(Dec), that is, proper units)
arcsec
float
offsetra_r
filter position RA minus final RA (* cos(Dec), that is, proper units)
arcsec
float
offsetra_i
filter position RA minus final RA (* cos(Dec), that is, proper units)
arcsec
float
offsetra_z
filter position RA minus final RA (* cos(Dec), that is, proper units)
arcsec
float
offsetdec_u
filter position Dec minus final Dec
arcsec
float
offsetdec_g
filter position Dec minus final Dec
arcsec
float
offsetdec_r
filter position Dec minus final Dec
arcsec
float
offsetdec_i
filter position Dec minus final Dec
arcsec
float
offsetdec_z
filter position Dec minus final Dec
arcsec
float
extinction_u
Extinction in u-band
mag
float
extinction_g
Extinction in g-band
mag
float
extinction_r
Extinction in r-band
mag
float
extinction_i
Extinction in i-band
mag
float
extinction_z
Extinction in z-band
mag
float
psffwhm_u
FWHM in u-band
arcsec
float
psffwhm_g
FWHM in g-band
arcsec
float
psffwhm_r
FWHM in r-band
arcsec
float
psffwhm_i
FWHM in i-band
arcsec
float
psffwhm_z
FWHM in z-band
arcsec
float
mjd
Date of observation
d
int
airmass_u
Airmass at time of observation in u-band
float
airmass_g
Airmass at time of observation in g-band
float
airmass_r
Airmass at time of observation in r-band
float
airmass_i
Airmass at time of observation in i-band
float
airmass_z
Airmass at time of observation in z-band
float
phioffset_u
Degrees to add to CCD-aligned angle to convert to E of N
deg
float
phioffset_g
Degrees to add to CCD-aligned angle to convert to E of N
deg
float
phioffset_r
Degrees to add to CCD-aligned angle to convert to E of N
deg
float
phioffset_i
Degrees to add to CCD-aligned angle to convert to E of N
deg
float
phioffset_z
Degrees to add to CCD-aligned angle to convert to E of N
deg
float
nprof_u
Number of Profile Bins
int
nprof_g
Number of Profile Bins
int
nprof_r
Number of Profile Bins
int
nprof_i
Number of Profile Bins
int
nprof_z
Number of Profile Bins
int
loadversion
Load Version
int
htmid
20-deep hierarchical trangular mesh ID of this object
long
fieldid
Link to the field this object is in
long
parentid
Pointer to parent (if object deblended) or BRIGHT detection (if object has one), else 0
long
specobjid
Pointer to the spectrum of object, if exists, else 0
long
u
Shorthand alias for modelMag
mag
float
indexed
primary
g
Shorthand alias for modelMag
mag
float
indexed
primary
r
Shorthand alias for modelMag
mag
float
indexed
primary
i
Shorthand alias for modelMag
mag
float
indexed
primary
z
Shorthand alias for modelMag
mag
float
indexed
primary
err_u
Error in modelMag alias
mag
float
err_g
Error in modelMag alias
mag
float
err_r
Error in modelMag alias
mag
float
err_i
Error in modelMag alias
mag
float
err_z
Error in modelMag alias
mag
float
dered_u
Simplified mag, corrected for extinction: modelMag-extinction
mag
float
dered_g
Simplified mag, corrected for extinction: modelMag-extinction
mag
float
dered_r
Simplified mag, corrected for extinction: modelMag-extinction
mag
float
dered_i
Simplified mag, corrected for extinction: modelMag-extinction
mag
float
dered_z
Simplified mag, corrected for extinction: modelMag-extinction
mag
float
cloudcam_u
Cloud camera status for observation in u-band
int
cloudcam_g
Cloud camera status for observation in g-band
int
cloudcam_r
Cloud camera status for observation in r-band
int
cloudcam_i
Cloud camera status for observation in i-band
int
cloudcam_z
Cloud camera status for observation in z-band
int
resolvestatus
Resolve status of object
int
thingid
Unique identifier from global resolve
int
balkanid
What balkan object is in from window
int
nobserve
Number of observations of this object
int
ndetect
Number of detections of this object
int
nedge
Number of observations of this object near an edge
int
score
Quality of field (0-1)
float
calibstatus_u
Calibration status in u-band
int
calibstatus_g
Calibration status in g-band
int
calibstatus_r
Calibration status in r-band
int
calibstatus_i
Calibration status in i-band
int
calibstatus_z
Calibration status in z-band
int
nmgypercount_u
nanomaggies per count in u-band
float
nmgypercount_g
nanomaggies per count in g-band
float
nmgypercount_r
nanomaggies per count in r-band
float
nmgypercount_i
nanomaggies per count in i-band
float
nmgypercount_z
nanomaggies per count in z-band
float
tai_u
time of observation (TAI) in each filter
s
double
tai_g
time of observation (TAI) in each filter
s
double
tai_r
time of observation (TAI) in each filter
s
double
tai_i
time of observation (TAI) in each filter
s
double
tai_z
time of observation (TAI) in each filter
s
double
external.skymapperdr1_master
SkyMapper Data Release 1 - latest update (DR1.1) - main table: primary table of mean astrometric, photometric, and shape measurements per object, with cross-match information to external tables. The major improvement in DR1.1 is a significant enhancement of the homogeneity of the photometric calibration. The source of the photometric calibration is now a combination of APASS and 2MASS, where the addition of the latter is used to (a) provide the direct calibration of the SkyMapper i-band and z-band photometry via interpolation between the 2MASS JK and the APASS gr photometry, and (b) refine the selection of APASS stars used for photometric calibration of the other SkyMapper bands (uvgr). Data replicated from NCI TAP http://skymappertap.asvo.nci.org.au/ncitap/tap dr1.master table as of January 2019. Reference paper: https://ui.adsabs.harvard.edu/abs/2018PASA...35...10W/abstract (DOI: 10.1017/pasa.2018.5)
object_id
Global unique object ID in the master table.
meta.id;meta.main
long
indexed
primary
raj2000
Mean ICRS Right Ascension of the object
deg
pos.eq.ra;meta.main;stat.mean
double
indexed
primary
dej2000
Mean ICRS Declination of the object
deg
pos.eq.dec;meta.main;stat.mean
double
indexed
primary
e_raj2000
RMS variation around the mean Right Ascension, in milliarcseconds
mas
stat.stdev;pos.eq.ra
int
e_dej2000
RMS variation around the mean Declination, in milliarcseconds
mas
stat.stdev;pos.eq.dec
int
smss_j
SkyMapper Southern Survey designation of the form SMSS Jhhmmss.ss+/-ddmmss.s, derived from mean ICRS coordinates
meta.id;meta.main
char
indexed
mean_epoch
Mean MJD epoch of the observations
d
time.epoch;stat.mean
double
rms_epoch
RMS variation around the mean epoch
d
stat.stdev;time.epoch
float
glon
Galactic longitude derived from ICRS coordinates. Not to be used as primary astrometric reference.
deg
pos.galactic.lon
float
indexed
glat
Galactic latitude derived from ICRS coordinates. Not to be used as primary astrometric reference.
deg
pos.galactic.lat
float
indexed
flags
Bitwise OR of Source Extractor flags across all observations
meta.code
short
nimaflags
Total number of flagged pixels from bad, saturated, and crosstalk pixel masks across all observations
meta.code
int
ngood
Number of observations used across all filters
meta.number
short
ngood_min
Minimum number of observations used in any filter (excluding filters with 0 observations)
meta.number
short
nch_max
Maximum number of child sources combined into this global object_id in any filter
meta.number
short
u_flags
Bitwise OR of Source Extractor flags from u-band measurements in photometry table
meta.code
short
u_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from u-band measurements in photometry table
meta.code
int
u_ngood
Number of u-band observations used
meta.number
short
u_nch
Number of u-band child sources combined into this object_id
meta.number
short
u_nvisit
Number of u-band observations for which the mean RA/Dec position fell on a CCD
meta.number
short
v_flags
Bitwise OR of Source Extractor flags from v-band measurements in photometry table
meta.code
short
v_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks fromvu-band measurements in photometry table
meta.code
int
v_ngood
Number of v-band observations used
meta.number
short
v_nch
Number of v-band child sources combined into this object_id
meta.number
short
v_nvisit
Number of v-band observations for which the mean RA/Dec position fell on a CCD
meta.number
short
g_flags
Bitwise OR of Source Extractor flags from g-band measurements in photometry table
meta.code
short
g_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from g-band measurements in photometry table
meta.code
int
g_ngood
Number of g-band observations used
meta.number
short
g_nch
Number of g-band child sources combined into this object_id
meta.number
short
g_nvisit
Number of g-band observations for which the mean RA/Dec position fell on a CCD
meta.number
short
r_flags
Bitwise OR of Source Extractor flags from r-band measurements in photometry table
meta.code
short
r_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from r-band measurements in photometry table
meta.code
int
r_ngood
Number of r-band observations used
meta.number
short
r_nch
Number of r-band child sources combined into this object_id
meta.number
short
r_nvisit
Number of r-band observations for which the mean RA/Dec position fell on a CCD
meta.number
short
i_flags
Bitwise OR of Source Extractor flags from i-band measurements in photometry table
meta.code
short
i_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from i-band measurements in photometry table
meta.code
int
i_ngood
Number of i-band observations used
meta.number
short
i_nch
Number of i-band child sources combined into this object_id
meta.number
short
i_nvisit
Number of i-band observations for which the mean RA/Dec position fell on a CCD
meta.number
short
z_flags
Bitwise OR of Source Extractor flags from z-band measurements in photometry table
meta.code
short
z_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from z-band measurements in photometry table
meta.code
int
z_ngood
Number of z-band observations used
meta.number
short
z_nch
Number of z-band child sources combined into this object_id
meta.number
short
z_nvisit
Number of z-band observations for which the mean RA/Dec position fell on a CCD
meta.number
short
class_star
Maximum stellarity index from photometry table (between 0=no star and 1=star)
src.class.starGalaxy;stat.mean
float
radius_petro
Mean r-band Petrosian radius
pix
phys.angSize;stat.mean
float
a
Mean r-band semi-major axis length
pix
phys.angSize.smajAxis;stat.mean
float
e_a
Error in mean r-band semi-major axis length
pix
stat.error;phys.angSize.smajAxis
float
b
Mean r-band semi-minor axis length
pix
phys.angSize.sminAxis;stat.mean
float
e_b
Error in mean r-band semi-minor axis length
pix
stat.error;phys.angSize.sminAxis
float
pa
Mean r-band position angle (E of N, -90..+90 deg)
deg
pos.posAng;stat.mean
float
e_pa
Error in mean r-band position angle
deg
stat.error;pos.posAng
float
u_psf
Mean u-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_u_psf
Error in u-band PSF magnitude
mag
stat.error;phot.mag
float
u_petro
Mean u-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_u_petro
Error in u-band Petrosian magnitude
mag
stat.error;phot.mag
float
v_psf
Mean v-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_v_psf
Error in v-band PSF magnitude
mag
stat.error;phot.mag
float
v_petro
Mean v-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_v_petro
Error in v-band Petrosian magnitude
mag
stat.error;phot.mag
float
g_psf
Mean g-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_g_psf
Error in g-band PSF magnitude
mag
stat.error;phot.mag
float
g_petro
Mean g-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_g_petro
Error in g-band Petrosian magnitude
mag
stat.error;phot.mag
float
r_psf
Mean r-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_r_psf
Error in r-band PSF magnitude
mag
stat.error;phot.mag
float
r_petro
Mean r-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_r_petro
Error in r-band Petrosian magnitude
mag
stat.error;phot.mag
float
i_psf
Mean i-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_i_psf
Error in i-band PSF magnitude
mag
stat.error;phot.mag
float
i_petro
Mean i-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_i_petro
Error in i-band Petrosian magnitude
mag
stat.error;phot.mag
float
z_psf
Mean z-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_z_psf
Error in z-band PSF magnitude
mag
stat.error;phot.mag
float
z_petro
Mean z-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_z_petro
Error in z-band Petrosian magnitude
mag
stat.error;phot.mag
float
ebmv_sfd
E(B-V) from Schlegel+1998 extinction maps at the ICRS coordinates
mag
phot.color.excess;phys.absorption
float
indexed
prox
Distance to next-closest DR1 source
arcsec
pos.angDistance
float
prox_id
object_id of next-closest DR1 source
meta.id
long
edr_id
object_id of closest Early Data Release source
meta.id.cross
long
edr_dist
Distance to closest Early Data Release source
arcsec
pos.angDistance
float
twomass_key1
Unique identifier (pts_key/ext_key) of closest 2MASS source
meta.id.cross
long
twomass_dist1
Distance on sky to closest 2MASS source
arcsec
pos.angDistance
float
twomass_cat1
2MASS catalogue of closest match (point source PSC, or extended XSC)
meta.code
char
twomass_key2
Unique identifier (pts_key/ext_key) of second closest 2MASS source
meta.id.cross
long
twomass_dist2
Distance on sky to second closest 2MASS source
arcsec
pos.angDistance
float
twomass_cat2
2MASS catalogue of second closest match (point source PSC, or extended XSC)
meta.code
char
allwise_cntr
Unique identifier (cntr) of closest AllWISE source
meta.id.cross
long
allwise_dist
Distance on sky to closest AllWISE source
arcsec
pos.angDistance
float
ucac4_mpos
Unique identifier (mpos) of closest UCAC4 source
meta.id.cross
long
ucac4_dist
Distance on sky to closest UCAC4 source
arcsec
pos.angDistance
float
apass_recno
Unique identifier (recno) of closest APASS DR9 source (only useful for this copy of APASS)
meta.id.cross
long
apass_dist
Distance on sky to closest APASS DR9 source
arcsec
pos.angDistance
float
gaia_dr1_id
Unique identifier (source_id) of closest Gaia DR1 source
meta.id.cross
long
gaia_dr1_dist
Distance on sky to closest Gaia DR1 source
arcsec
pos.angDistance
float
ps1_dr1_id
Unique identifier (objID) of closest Pan-STARRS1 DR1 source
meta.id.cross
long
ps1_dr1_dist
Distance on sky to closest Pan-STARRS1 DR1 source
arcsec
pos.angDistance
float
galex_bcs_id
Unique identifier (objid) of closest GALEX AIS source (Bianchi et al. 2014)
meta.id.cross
long
galex_bcs_dist
Distance on sky to closest GALEX AIS source
arcsec
pos.angDistance
float
gaia_dr2_id1
Unique identifier (source_id) of closest Gaia DR2 source
meta.id.cross
long
indexed
gaia_dr2_dist1
Distance on sky to closest Gaia DR2 source
arcsec
pos.angDistance
float
gaia_dr2_id2
Unique identifier (source_id) of second closest Gaia DR2 source
meta.id.cross
long
indexed
gaia_dr2_dist2
Distance on sky to second closest Gaia DR2 source
arcsec
pos.angDistance
float
external.skymapperdr2_master
The second data release (DR2) of the SkyMapper Southern Survey, is a hemispheric survey carried out with the SkyMapper Telescope at Siding Spring Observatory in Australia, using six optical filters: u, v, g, r, i, and z. DR2 is the first release to go beyond the ~18 mag (10 sigma) limit of the Shallow Survey released in the first data release (DR1), and includes portions of the sky at full survey depth that reach > 21 mag in the g and r filters. The DR2 photometry has a precision as measured by internal reproducibility of 1% in u and v, and 0.7% in g, r, i, and z. More than 21,000 square degrees have data in some filters (at either Shallow or Main Survey depth) and over 7,000 square degrees have deep Main Survey coverage in all six filters. Finally, about 18,000 square degrees have Main Survey data in the i and z filters, albeit not yet at full depth. The release contains over 120,000 images, as well as catalogues with over 500 million unique astrophysical objects and nearly 5 billion individual detections. It also contains cross-matches with a range of external catalogues such as Gaia DR2, Pan-STARRS1 DR1, GALEX GUVcat, 2MASS, and AllWISE, as well as spectroscopic surveys such as 2MRS, GALAH, 6dFGS, and 2dFLenS. Data replicated from dr2.master table NCI bulk download files and TAP metadata as of April 2020. Reference paper: https://ui.adsabs.harvard.edu/abs/2019PASA...36...33O/abstract (DOI: 10.1017/pasa.2019.27)
object_id
Global unique object ID in the master table.
meta.id;meta.main
long
indexed
primary
raj2000
Mean ICRS Right Ascension of the object
deg
pos.eq.ra;meta.main;stat.mean
double
indexed
primary
dej2000
Mean ICRS Declination of the object
deg
pos.eq.dec;meta.main;stat.mean
double
indexed
primary
e_raj2000
RMS variation around the mean Right Ascension, in milliarcseconds
mas
stat.stdev;pos.eq.ra
int
e_dej2000
RMS variation around the mean Declination, in milliarcseconds
mas
stat.stdev;pos.eq.dec
int
smss_j
SkyMapper Southern Survey designation of the form SMSS Jhhmmss.ss+/-ddmmss.s, derived from mean ICRS coordinates
meta.id;meta.main
char
indexed
mean_epoch
Mean MJD epoch of the observations
d
time.epoch;stat.mean
double
rms_epoch
RMS variation around the mean epoch
d
stat.stdev;time.epoch
float
glon
Galactic longitude derived from ICRS coordinates. Not to be used as primary astrometric reference.
deg
pos.galactic.lon
float
indexed
glat
Galactic latitude derived from ICRS coordinates. Not to be used as primary astrometric reference.
deg
pos.galactic.lat
float
indexed
flags
Bitwise OR of Source Extractor flags across all observations
meta.code
short
nimaflags
Total number of flagged pixels from bad, saturated, and crosstalk pixel masks across all observations
meta.code
int
ngood
Number of observations used across all filters
meta.number
short
ngood_min
Minimum number of observations used in any filter (excluding filters with 0 observations)
meta.number
short
nch_max
Maximum number of child sources combined into this global object_id in any filter
meta.number
short
density
Number of DR2 sources within 15 arcsec (including this source)
src.density
float
u_flags
Bitwise OR of Source Extractor flags from u-band measurements in photometry table
meta.code
short
u_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from u-band measurements in photometry table
meta.code
int
u_ngood
Number of u-band observations used
meta.number
short
u_nch
Number of u-band child sources combined into this object_id
meta.number
short
u_nclip
Number of u-band observations with magnitudes clipped from the final PSF magnitude estimate
meta.number
short
v_flags
Bitwise OR of Source Extractor flags from v-band measurements in photometry table
meta.code
short
v_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from v-band measurements in photometry table
meta.code
int
v_ngood
Number of v-band observations used
meta.number
short
v_nch
Number of v-band child sources combined into this object_id
meta.number
short
v_nclip
Number of v-band observations with magnitudes clipped from the final PSF magnitude estimate
meta.number
short
g_flags
Bitwise OR of Source Extractor flags from g-band measurements in photometry table
meta.code
short
g_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from g-band measurements in photometry table
meta.code
int
g_ngood
Number of g-band observations used
meta.number
short
g_nch
Number of g-band child sources combined into this object_id
meta.number
short
g_nclip
Number of g-band observations with magnitudes clipped from the final PSF magnitude estimate
meta.number
short
r_flags
Bitwise OR of Source Extractor flags from r-band measurements in photometry table
meta.code
short
r_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from r-band measurements in photometry table
meta.code
int
r_ngood
Number of r-band observations used
meta.number
short
r_nch
Number of r-band child sources combined into this object_id
meta.number
short
r_nclip
Number of r-band observations with magnitudes clipped from the final PSF magnitude estimate
meta.number
short
i_flags
Bitwise OR of Source Extractor flags from i-band measurements in photometry table
meta.code
short
i_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from i-band measurements in photometry table
meta.code
int
i_ngood
Number of i-band observations used
meta.number
short
i_nch
Number of i-band child sources combined into this object_id
meta.number
short
i_nclip
Number of i-band observations with magnitudes clipped from the final PSF magnitude estimate
meta.number
short
z_flags
Bitwise OR of Source Extractor flags from z-band measurements in photometry table
meta.code
short
z_nimaflags
Number of flagged pixels from bad, saturated, and crosstalk pixel masks from z-band measurements in photometry table
meta.code
int
z_ngood
Number of z-band observations used
meta.number
short
z_nch
Number of z-band child sources combined into this object_id
meta.number
short
z_nclip
Number of z-band observations with magnitudes clipped from the final PSF magnitude estimate
meta.number
short
class_star
Maximum stellarity index from photometry table (between 0=no star and 1=star)
src.class.starGalaxy;stat.mean
float
flags_psf
Bitmask indicating whether photometry is likely biased by neighbours at >1%; bits 0-5 correspond to filters z-u
meta.code
int
radius_petro
Mean r-band Petrosian radius
pix
phys.angSize;stat.mean
float
u_psf
Mean u-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_u_psf
Error in u-band PSF magnitude
mag
stat.error;phot.mag
float
u_rchi2var
Reduced chi-squared for a constant-magnitude model of the u-band PSF magnitude, including clipped sources
stat.fit.chi2
float
u_petro
Mean u-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_u_petro
Error in u-band Petrosian magnitude
mag
stat.error;phot.mag
float
v_psf
Mean v-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_v_psf
Error in v-band PSF magnitude
mag
stat.error;phot.mag
float
v_rchi2var
Reduced chi-squared for a constant-magnitude model of the v-band PSF magnitude, including clipped sources
stat.fit.chi2
float
v_petro
Mean v-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_v_petro
Error in v-band Petrosian magnitude
mag
stat.error;phot.mag
float
g_psf
Mean g-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_g_psf
Error in g-band PSF magnitude
mag
stat.error;phot.mag
float
g_rchi2var
Reduced chi-squared for a constant-magnitude model of the g-band PSF magnitude, including clipped sources
stat.fit.chi2
float
g_petro
Mean g-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_g_petro
Error in g-band Petrosian magnitude
mag
stat.error;phot.mag
float
r_psf
Mean r-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_r_psf
Error in r-band PSF magnitude
mag
stat.error;phot.mag
float
r_rchi2var
Reduced chi-squared for a constant-magnitude model of the r-band PSF magnitude, including clipped sources
stat.fit.chi2
float
r_petro
Mean r-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_r_petro
Error in r-band Petrosian magnitude
mag
stat.error;phot.mag
float
i_psf
Mean i-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_i_psf
Error in i-band PSF magnitude
mag
stat.error;phot.mag
float
i_rchi2var
Reduced chi-squared for a constant-magnitude model of the i-band PSF magnitude, including clipped sources
stat.fit.chi2
float
i_petro
Mean i-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_i_petro
Error in i-band Petrosian magnitude
mag
stat.error;phot.mag
float
z_psf
Mean z-band PSF magnitude
mag
phot.mag;stat.mean
float
indexed
primary
e_z_psf
Error in z-band PSF magnitude
mag
stat.error;phot.mag
float
z_rchi2var
Reduced chi-squared for a constant-magnitude model of the z-band PSF magnitude, including clipped sources
stat.fit.chi2
float
z_petro
Mean z-band Petrosian magnitude
mag
phot.mag;stat.mean
float
indexed
e_z_petro
Error in z-band Petrosian magnitude
mag
stat.error;phot.mag
float
ebmv_sfd
E(B-V) from Schlegel+1998 extinction maps at the ICRS coordinates
mag
phot.color.excess;phys.absorption
float
indexed
prox
Distance to next-closest DR2 source within 15 arcsec (or 15 if no such sources)
arcsec
pos.angDistance
float
prox_id
object_id of next-closest DR2 source
meta.id
long
dr1_id
object_id of closest SkyMapper Data Release 1 source
meta.id.cross
long
dr1_dist
Distance to closest SkyMapper Data Release 1 source
arcsec
pos.angDistance
float
twomass_key
Unique identifier (pts_key) of closest 2MASS PSC source
meta.id.cross
long
twomass_dist
Distance on sky to closest 2MASS PSC source
arcsec
pos.angDistance
float
allwise_cntr
Unique identifier (cntr) of closest AllWISE source
meta.id.cross
long
allwise_dist
Distance on sky to closest AllWISE source
arcsec
pos.angDistance
float
ucac4_mpos
Unique identifier (mpos) of closest UCAC4 source
meta.id.cross
long
ucac4_dist
Distance on sky to closest UCAC4 source
arcsec
pos.angDistance
float
refcat2_id
Unique identifier (objid) of closest ATLAS Refcat2 source (only useful for this copy of Refcat2)
meta.id.cross
long
refcat2_dist
Distance on sky to closest ATLAS Refcat2 source
arcsec
pos.angDistance
float
ps1_dr1_id
Unique identifier (objid) of closest Pan-STARRS1 DR1 source
meta.id.cross
long
ps1_dr1_dist
Distance on sky to closest Pan-STARRS1 DR1 source
arcsec
pos.angDistance
float
galex_guv_id
Unique identifier (objid) of closest GALEX GUVcat AIS source (Bianchi et al. 2017)
meta.id.cross
long
galex_guv_dist
Distance on sky to closest GALEX GUVcat AIS source
arcsec
pos.angDistance
float
gaia_dr2_id1
Unique identifier (source_id) of closest Gaia DR2 source
meta.id.cross
long
gaia_dr2_dist1
Distance on sky to closest Gaia DR2 source
arcsec
pos.angDistance
float
gaia_dr2_id2
Unique identifier (source_id) of second closest Gaia DR2 source
meta.id.cross
long
gaia_dr2_dist2
Distance on sky to second closest Gaia DR2 source
arcsec
pos.angDistance
float
external.tmass_xsc
The Two Micron All Sky Survey (2MASS): Extended Source Catalogue (XSC). In this survey, the entire sky was uniformly scanned in three near-infrared bands to detect and characterise point sources brighter than about 1 mJy in each band, with signal-to-noise ratio (SNR) greater than 10, using a pixel size of 2.044 arcsec. The extended source catalogue contains 1.6 million objects and includes those sources which are resolved with respect to the observed 2MASS point spread function. Approximately 97% of XSC sources are galaxies, with the other ~3% belonging to the Milky Way. Data is replicated from IRSA TAP https://irsa.ipac.caltech.edu/TAP/ fp_xsc table as of January 2019. Note that additional columns have been added after the original publication. The full data model is documented at http://wise2.ipac.caltech.edu/staff/jarrett/2mass/XSC/XSC_DD-new. Reference paper: https://ui.adsabs.harvard.edu/abs/2006AJ....131.1163S/abstract (DOI: 10.1086/498708)
jdate
julian date of source measurement to +/- 30 sec
d
double
designation
source designation formed from sexigesimal coordinates
char
indexed
primary
ra
right ascension (J2000 decimal deg) based on peak pixel
deg
pos.eq.ra;meta.main
double
indexed
primary
dec
declination (J2000 decimal deg) based on peak pixel
deg
pos.eq.dec;meta.main
double
indexed
primary
sup_ra
super-coadd centroid RA (J2000 decimal deg)
deg
double
indexed
sup_dec
super-coadd centroid Dec (J2000 decimal deg)
deg
double
indexed
glon
galactic longitude (decimal deg) based on peak pixel
deg
double
indexed
glat
galactic latitude (decimal deg) based on peak pixel
deg
double
indexed
density
coadd log(density) of stars with k<14 mag
double
j_m
J selected "default" magnitude
mag
double
indexed
primary
j_msig
J "default" mag uncertainty
mag
double
indexed
j_flg
J confusion flag for "default" magnitude
long
j_mtype
source of J "default" mag (0=j_m_k20fc, 1=j_m_j21fc)
long
indexed
primary
h_m
H selected "default" magnitude
mag
double
indexed
primary
h_msig
H "default" mag uncertainty
mag
double
indexed
h_flg
H confusion flag for "default" magnitude
long
h_mtype
source of H "default" mag (0=h_m_k20fc, 1=h_m_j21fc)
long
indexed
primary
k_m
K selected "default" magnitude
mag
double
indexed
primary
k_msig
K "default" mag uncertainty
mag
double
indexed
k_flg
K confusion flag for "default" magnitude
long
k_mtype
source of K "default" mag (0=k_m_k20fc, 1=k_m_j21fc)
long
indexed
primary
r_k20fe
20mag/sq." isophotal K fiducial ell. ap. semi-major axis
arcsec
double
indexed
j_m_k20fe
J 20mag/sq." isophotal fiducial ell. ap. magnitude
mag
double
j_msig_k20fe
J 1-sigma uncertainty in 20mag/sq." iso.fid.ell.mag
mag
double
j_flg_k20fe
J confusion flag for 20mag/sq." iso. fid. ell. mag
long
h_m_k20fe
H 20mag/sq." isophotal fiducial ell. ap. magnitude
mag
double
h_msig_k20fe
H 1-sigma uncertainty in 20mag/sq." iso.fid.ell.mag
mag
double
h_flg_k20fe
H confusion flag for 20mag/sq." iso. fid. ell. mag
long
k_m_k20fe
K 20mag/sq." isophotal fiducial ell. ap. magnitude
mag
double
k_msig_k20fe
K 1-sigma uncertainty in 20mag/sq." iso.fid.ell.mag
mag
double
k_flg_k20fe
K confusion flag for 20mag/sq." iso. fid. ell. mag
long
r_3sig
3-sigma K isophotal semi-major axis
arcsec
double
j_ba
J minor/major axis ratio fit to the 3-sigma isophote
double
j_phi
J angle to 3-sigma major axis (E of N)
deg
long
h_ba
H minor/major axis ratio fit to the 3-sigma isophote
double
h_phi
H angle to 3-sigma major axis (E of N)
deg
long
k_ba
K minor/major axis ratio fit to the 3-sigma isophote
double
k_phi
K angle to 3-sigma major axis (E of N)
deg
long
sup_r_3sig
super-coadd 3-sigma isophotal semi-major axis radius
arcsec
double
sup_ba
minor/major axis ratio fit to 3-sig. super-coadd isophote
double
sup_phi
super-coadd angle to major axis (E of N)
deg
long
r_fe
K fiducial Kron elliptical aperture semi-major axis
arcsec
double
j_m_fe
J fiducial Kron elliptical aperture magnitude
mag
double
j_msig_fe
J 1-sigma uncertainty in fiducial Kron ell. mag
mag
double
j_flg_fe
J confusion flag for fiducial Kron ell. mag
long
h_m_fe
H fiducial Kron elliptical aperture magnitude
mag
double
h_msig_fe
H 1-sigma uncertainty in fiducial Kron ell. mag
mag
double
h_flg_fe
H confusion flag for fiducial Kron ell. mag
long
k_m_fe
K fiducial Kron elliptical aperture magnitude
mag
double
k_msig_fe
K 1-sigma uncertainty in fiducial Kron ell. mag
mag
double
k_flg_fe
K confusion flag for fiducial Kron ell. mag
long
r_ext
extrapolation/total radius
arcsec
double
j_m_ext
J mag from fit extrapolation
mag
double
j_msig_ext
J 1-sigma uncertainty in mag from fit extrapolation
mag
double
j_pchi
J chi^2 of fit to radial profile (LCSB: alpha scale length)
double
h_m_ext
H mag from fit extrapolation
mag
double
h_msig_ext
H 1-sigma uncertainty in mag from fit extrapolation
mag
double
h_pchi
H chi^2 of fit to radial profile (LCSB: alpha scale length)
double
k_m_ext
K mag from fit extrapolation
mag
double
k_msig_ext
K 1-sigma uncertainty in mag from fit extrapolation
mag
double
k_pchi
K chi^2 of fit to radial profile (LCSB: alpha scale length)
double
j_r_eff
J half-light (integrated half-flux point) radius
arcsec
double
j_mnsurfb_eff
J mean surface brightness at the half-light radius
mag
double
h_r_eff
H half-light (integrated half-flux point) radius
arcsec
double
h_mnsurfb_eff
H mean surface brightness at the half-light radius
mag
double
k_r_eff
K half-light (integrated half-flux point) radius
arcsec
double
k_mnsurfb_eff
K mean surface brightness at the half-light radius
mag
double
j_con_indx
J concentration index r_75%/r_25%
double
h_con_indx
H concentration index r_75%/r_25%
double
k_con_indx
K concentration index r_75%/r_25%
double
j_peak
J peak pixel brightness
mag
double
h_peak
H peak pixel brightness
mag
double
k_peak
K peak pixel brightness
mag
double
j_5surf
J central surface brightness (r<=5)
mag
double
h_5surf
H central surface brightness (r<=5)
mag
double
k_5surf
K central surface brightness (r<=5)
mag
double
e_score
extended score: 1(extended) < e_score < 2(point-like)
double
g_score
galaxy score: 1(extended) < g_score < 2(point-like)
double
vc
visual verification score for source
long
cc_flg
indicates artifact contamination and/or confusion
char
im_nx
size of postage stamp image in pixels
long
r_k20fc
20mag/sq." isophotal K fiducial circular ap. radius
arcsec
double
j_m_k20fc
J 20mag/sq." isophotal fiducial circ. ap. mag
mag
double
indexed
j_msig_k20fc
J 1-sigma uncertainty in 20mag/sq." iso.fid.circ. mag
mag
double
indexed
j_flg_k20fc
J confusion flag for 20mag/sq." iso. fid. circ. mag
long
h_m_k20fc
H 20mag/sq." isophotal fiducial circ. ap. mag
mag
double
indexed
h_msig_k20fc
H 1-sigma uncertainty in 20mag/sq." iso.fid.circ. mag
mag
double
indexed
h_flg_k20fc
H confusion flag for 20mag/sq." iso. fid. circ. mag
long
k_m_k20fc
K 20mag/sq." isophotal fiducial circ. ap. mag
mag
double
indexed
k_msig_k20fc
K 1-sigma uncertainty in 20mag/sq." iso.fid.circ. mag
mag
double
indexed
k_flg_k20fc
K confusion flag for 20mag/sq." iso. fid. circ. mag
long
j_r_e
J Kron elliptical aperture semi-major axis
arcsec
double
j_m_e
J Kron elliptical aperture magnitude
mag
double
j_msig_e
J 1-sigma uncertainty in Kron elliptical mag
mag
double
j_flg_e
J confusion flag for Kron elliptical mag
long
h_r_e
H Kron elliptical aperture semi-major axis
arcsec
double
h_m_e
H Kron elliptical aperture magnitude
mag
double
h_msig_e
H 1-sigma uncertainty in Kron elliptical mag
mag
double
h_flg_e
H confusion flag for Kron elliptical mag
long
k_r_e
K Kron elliptical aperture semi-major axis
arcsec
double
k_m_e
K Kron elliptical aperture magnitude
mag
double
k_msig_e
K 1-sigma uncertainty in Kron elliptical mag
mag
double
k_flg_e
K confusion flag for Kron elliptical mag
long
j_r_c
J Kron circular aperture radius
arcsec
double
j_m_c
J Kron circular aperture magnitude
mag
double
j_msig_c
J 1-sigma uncertainty in Kron circular mag
mag
double
j_flg_c
J confusion flag for Kron circular mag
long
h_r_c
H Kron circular aperture radius
arcsec
double
h_m_c
H Kron circular aperture magnitude
mag
double
h_msig_c
H 1-sigma uncertainty in Kron circular mag
mag
double
h_flg_c
H confusion flag for Kron circular mag
long
k_r_c
K Kron circular aperture radius
arcsec
double
k_m_c
K Kron circular aperture magnitude
mag
double
k_msig_c
K 1-sigma uncertainty in Kron circular mag
mag
double
k_flg_c
K confusion flag for Kron circular mag
long
r_fc
K fiducial Kron circular aperture radius
arcsec
double
j_m_fc
J fiducial Kron circular magnitude
mag
double
j_msig_fc
J 1-sigma uncertainty in fiducial Kron circ. mag
mag
double
j_flg_fc
J confusion flag for fiducial Kron circ. mag
long
h_m_fc
H fiducial Kron circular magnitude
mag
double
h_msig_fc
H 1-sigma uncertainty in fiducial Kron circ. mag
mag
double
h_flg_fc
H confusion flag for fiducial Kron circ. mag
long
k_m_fc
K fiducial Kron circular magnitude
mag
double
k_msig_fc
K 1-sigma uncertainty in fiducial Kron circ. mag
mag
double
k_flg_fc
K confusion flag for fiducial Kron circ. mag
long
j_r_i20e
J 20mag/sq." isophotal elliptical ap. semi-major axis
arcsec
double
j_m_i20e
J 20mag/sq." isophotal elliptical ap. magnitude
mag
double
j_msig_i20e
J 1-sigma uncertainty in 20mag/sq." iso. ell. mag
mag
double
j_flg_i20e
J confusion flag for 20mag/sq." iso. ell. mag
long
h_r_i20e
H 20mag/sq." isophotal elliptical ap. semi-major axis
arcsec
double
h_m_i20e
H 20mag/sq." isophotal elliptical ap. magnitude
mag
double
h_msig_i20e
H 1-sigma uncertainty in 20mag/sq." iso. ell. mag
mag
double
h_flg_i20e
H confusion flag for 20mag/sq." iso. ell. mag
long
k_r_i20e
K 20mag/sq." isophotal elliptical ap. semi-major axis
arcsec
double
k_m_i20e
K 20mag/sq." isophotal elliptical ap. magnitude
mag
double
k_msig_i20e
K 1-sigma uncertainty in 20mag/sq." iso. ell. mag
mag
double
k_flg_i20e
K confusion flag for 20mag/sq." iso. ell. mag
long
j_r_i20c
J 20mag/sq." isophotal circular aperture radius
arcsec
double
j_m_i20c
J 20mag/sq." isophotal circular ap. magnitude
mag
double
j_msig_i20c
J 1-sigma uncertainty in 20mag/sq." iso. circ. mag
mag
double
j_flg_i20c
J confusion flag for 20mag/sq." iso. circ. mag
long
h_r_i20c
H 20mag/sq." isophotal circular aperture radius
arcsec
double
h_m_i20c
H 20mag/sq." isophotal circular ap. magnitude
mag
double
h_msig_i20c
H 1-sigma uncertainty in 20mag/sq." iso. circ. mag
mag
double
h_flg_i20c
H confusion flag for 20mag/sq." iso. circ. mag
long
k_r_i20c
K 20mag/sq." isophotal circular aperture radius
arcsec
double
k_m_i20c
K 20mag/sq." isophotal circular ap. magnitude
mag
double
k_msig_i20c
K 1-sigma uncertainty in 20mag/sq." iso. circ. mag
mag
double
k_flg_i20c
K confusion flag for 20mag/sq." iso. circ. mag
long
j_r_i21e
J 21mag/sq." isophotal elliptical ap. semi-major axis
arcsec
double
j_m_i21e
J 21mag/sq." isophotal elliptical ap. magnitude
mag
double
j_msig_i21e
J 1-sigma uncertainty in 21mag/sq." iso. ell. mag
mag
double
j_flg_i21e
J confusion flag for 21mag/sq." iso. ell. mag
long
h_r_i21e
H 21mag/sq." isophotal elliptical ap. semi-major axis
arcsec
double
h_m_i21e
H 21mag/sq." isophotal elliptical ap. magnitude
mag
double
h_msig_i21e
H 1-sigma uncertainty in 21mag/sq." iso. ell. mag
mag
double
h_flg_i21e
H confusion flag for 21mag/sq." iso. ell. mag
long
k_r_i21e
K 21mag/sq." isophotal elliptical ap. semi-major axis
arcsec
double
k_m_i21e
K 21mag/sq." isophotal elliptical ap. magnitude
mag
double
k_msig_i21e
K 1-sigma uncertainty in 21mag/sq." iso. ell. mag
mag
double
k_flg_i21e
K confusion flag for 21mag/sq." iso. ell. mag
long
r_j21fe
21mag/sq." isophotal J fiducial ell. ap. semi-major axis
arcsec
double
j_m_j21fe
J 21mag/sq." isophotal fiducial ell. ap. magnitude
mag
double
j_msig_j21fe
J 1-sigma uncertainty in 21mag/sq." iso.fid.ell.mag
mag
double
j_flg_j21fe
J confusion flag for 21mag/sq." iso. fid. ell. mag
long
h_m_j21fe
H 21mag/sq." isophotal fiducial ell. ap. magnitude
mag
double
h_msig_j21fe
H 1-sigma uncertainty in 21mag/sq." iso.fid.ell.mag
mag
double
h_flg_j21fe
H confusion flag for 21mag/sq." iso. fid. ell. mag
long
k_m_j21fe
K 21mag/sq." isophotal fiducial ell. ap. magnitude
mag
double
k_msig_j21fe
K 1-sigma uncertainty in 21mag/sq." iso.fid.ell.mag
mag
double
k_flg_j21fe
K confusion flag for 21mag/sq." iso. fid. ell. mag
long
j_r_i21c
J 21mag/sq." isophotal circular aperture radius
arcsec
double
j_m_i21c
J 21mag/sq." isophotal circular ap. magnitude
mag
double
j_msig_i21c
J 1-sigma uncertainty in 21mag/sq." iso. circ. mag
mag
double
j_flg_i21c
J confusion flag for 21mag/sq." iso. circ. mag
long
h_r_i21c
H 21mag/sq." isophotal circular aperture radius
arcsec
double
h_m_i21c
H 21mag/sq." isophotal circular ap. magnitude
mag
double
h_msig_i21c
H 1-sigma uncertainty in 21mag/sq." iso. circ. mag
mag
double
h_flg_i21c
H confusion flag for 21mag/sq." iso. circ. mag
long
k_r_i21c
K 21mag/sq." isophotal circular aperture radius
arcsec
double
k_m_i21c
K 21mag/sq." isophotal circular ap. magnitude
mag
double
k_msig_i21c
K 1-sigma uncertainty in 21mag/sq." iso. circ. mag
mag
double
k_flg_i21c
K confusion flag for 21mag/sq." iso. circ. mag
long
r_j21fc
21mag/sq." isophotal J fiducial circular ap. radius
arcsec
double
indexed
j_m_j21fc
J 21mag/sq." isophotal fiducial circ. ap. mag
mag
double
indexed
j_msig_j21fc
J 1-sigma uncertainty in 21mag/sq." iso.fid.circ.mag
mag
double
indexed
j_flg_j21fc
J confusion flag for 21mag/sq." iso. fid. circ. mag
long
h_m_j21fc
H 21mag/sq." isophotal fiducial circ. ap. mag
mag
double
indexed
h_msig_j21fc
H 1-sigma uncertainty in 21mag/sq." iso.fid.circ.mag
mag
double
indexed
h_flg_j21fc
H confusion flag for 21mag/sq." iso. fid. circ. mag
long
k_m_j21fc
K 21mag/sq." isophotal fiducial circ. ap. mag
mag
double
indexed
k_msig_j21fc
K 1-sigma uncertainty in 21mag/sq." iso.fid.circ.mag
mag
double
indexed
k_flg_j21fc
K confusion flag for 21mag/sq." iso. fid. circ. mag
long
j_m_5
J 5 arcsec radius circular aperture magnitude
mag
double
j_msig_5
J 1-sigma uncertainty in 5 arcsec circular ap. mag
mag
double
j_flg_5
J confusion flag for 5 arcsec circular ap. mag
long
h_m_5
H 5 arcsec radius circular aperture magnitude
mag
double
h_msig_5
H 1-sigma uncertainty in 5 arcsec circular ap. mag
mag
double
h_flg_5
H confusion flag for 5 arcsec circular ap. mag
long
k_m_5
K 5 arcsec radius circular aperture magnitude
mag
double
k_msig_5
K 1-sigma uncertainty in 5 arcsec circular ap. mag
mag
double
k_flg_5
K confusion flag for 5 arcsec circular ap. mag
long
j_m_7
J 7 arcsec radius circular aperture magnitude
mag
double
j_msig_7
J 1-sigma uncertainty in 7 arcsec circular ap. mag
mag
double
j_flg_7
J confusion flag for 7 arcsec circular ap. mag
long
h_m_7
H 7 arcsec radius circular aperture magnitude
mag
double
h_msig_7
H 1-sigma uncertainty in 7 arcsec circular ap. mag
mag
double
h_flg_7
H confusion flag for 7 arcsec circular ap. mag
long
k_m_7
K 7 arcsec radius circular aperture magnitude
mag
double
k_msig_7
K 1-sigma uncertainty in 7 arcsec circular ap. mag
mag
double
k_flg_7
K confusion flag for 7 arcsec circular ap. mag
long
j_m_10
J 10 arcsec radius circular aperture magnitude
mag
double
j_msig_10
J 1-sigma uncertainty in 10 arcsec circular ap. mag
mag
double
j_flg_10
J confusion flag for 10 arcsec circular ap. mag
long
h_m_10
H 10 arcsec radius circular aperture magnitude
mag
double
h_msig_10
H 1-sigma uncertainty in 10 arcsec circular ap. mag
mag
double
h_flg_10
H confusion flag for 10 arcsec circular ap. mag
long
k_m_10
K 10 arcsec radius circular aperture magnitude
mag
double
k_msig_10
K 1-sigma uncertainty in 10 arcsec circular ap. mag
mag
double
k_flg_10
K confusion flag for 10 arcsec circular ap. mag
long
j_m_15
J 15 arcsec radius circular aperture magnitude
mag
double
j_msig_15
J 1-sigma uncertainty in 15 arcsec circular ap. mag
mag
double
j_flg_15
J confusion flag for 15 arcsec circular ap. mag
long
h_m_15
H 15 arcsec radius circular aperture magnitude
mag
double
h_msig_15
H 1-sigma uncertainty in 15 arcsec circular ap. mag
mag
double
h_flg_15
H confusion flag for 15 arcsec circular ap. mag
long
k_m_15
K 15 arcsec radius circular aperture magnitude
mag
double
k_msig_15
K 1-sigma uncertainty in 15 arcsec circular ap. mag
mag
double
k_flg_15
K confusion flag for 15 arcsec circular ap. mag
long
j_m_20
J 20 arcsec radius circular aperture magnitude
mag
double
j_msig_20
J 1-sigma uncertainty in 20 arcsec circular ap. mag
mag
double
j_flg_20
J confusion flag for 20 arcsec circular ap. mag
long
h_m_20
H 20 arcsec radius circular aperture magnitude
mag
double
h_msig_20
H 1-sigma uncertainty in 20 arcsec circular ap. mag
mag
double
h_flg_20
H confusion flag for 20 arcsec circular ap. mag
long
k_m_20
K 20 arcsec radius circular aperture magnitude
mag
double
k_msig_20
K 1-sigma uncertainty in 20 arcsec circular ap. mag
mag
double
k_flg_20
K confusion flag for 20 arcsec circular ap. mag
long
j_m_25
J 25 arcsec radius circular aperture magnitude
mag
double
j_msig_25
J 1-sigma uncertainty in 25 arcsec circular ap. mag
mag
double
j_flg_25
J confusion flag for 25 arcsec circular ap. mag
long
h_m_25
H 25 arcsec radius circular aperture magnitude
mag
double
h_msig_25
H 1-sigma uncertainty in 25 arcsec circular ap. mag
mag
double
h_flg_25
H confusion flag for 25 arcsec circular ap. mag
long
k_m_25
K 25 arcsec radius circular aperture magnitude
mag
double
k_msig_25
K 1-sigma uncertainty in 25 arcsec circular ap. mag
mag
double
k_flg_25
K confusion flag for 25 arcsec circular ap. mag
long
j_m_30
J 30 arcsec radius circular aperture magnitude
mag
double
j_msig_30
J 1-sigma uncertainty in 30 arcsec circular ap. mag
mag
double
j_flg_30
J confusion flag for 30 arcsec circular ap. mag
long
h_m_30
H 30 arcsec radius circular aperture magnitude
mag
double
h_msig_30
H 1-sigma uncertainty in 30 arcsec circular ap. mag
mag
double
h_flg_30
H confusion flag for 30 arcsec circular ap. mag
long
k_m_30
K 30 arcsec radius circular aperture magnitude
mag
double
k_msig_30
K 1-sigma uncertainty in 30 arcsec circular ap. mag
mag
double
k_flg_30
K confusion flag for 30 arcsec circular ap. mag
long
j_m_40
J 40 arcsec radius circular aperture magnitude
mag
double
j_msig_40
J 1-sigma uncertainty in 40 arcsec circular ap. mag
mag
double
j_flg_40
J confusion flag for 40 arcsec circular ap. mag
long
h_m_40
H 40 arcsec radius circular aperture magnitude
mag
double
h_msig_40
H 1-sigma uncertainty in 40 arcsec circular ap. mag
mag
double
h_flg_40
H confusion flag for 40 arcsec circular ap. mag
long
k_m_40
K 40 arcsec radius circular aperture magnitude
mag
double
k_msig_40
K 1-sigma uncertainty in 40 arcsec circular ap. mag
mag
double
k_flg_40
K confusion flag for 40 arcsec circular ap. mag
long
j_m_50
J 50 arcsec radius circular aperture magnitude
mag
double
j_msig_50
J 1-sigma uncertainty in 50 arcsec circular ap. mag
mag
double
j_flg_50
J confusion flag for 50 arcsec circular ap. mag
long
h_m_50
H 50 arcsec radius circular aperture magnitude
mag
double
h_msig_50
H 1-sigma uncertainty in 50 arcsec circular ap. mag
mag
double
h_flg_50
H confusion flag for 50 arcsec circular ap. mag
long
k_m_50
K 50 arcsec radius circular aperture magnitude
mag
double
k_msig_50
K 1-sigma uncertainty in 50 arcsec circular ap. mag
mag
double
k_flg_50
K confusion flag for 50 arcsec circular ap. mag
long
j_m_60
J 60 arcsec radius circular aperture magnitude
mag
double
j_msig_60
J 1-sigma uncertainty in 60 arcsec circular ap. mag
mag
double
j_flg_60
J confusion flag for 60 arcsec circular ap. mag
long
h_m_60
H 60 arcsec radius circular aperture magnitude
mag
double
h_msig_60
H 1-sigma uncertainty in 60 arcsec circular ap. mag
mag
double
h_flg_60
H confusion flag for 60 arcsec circular ap. mag
long
k_m_60
K 60 arcsec radius circular aperture magnitude
mag
double
k_msig_60
K 1-sigma uncertainty in 60 arcsec circular ap. mag
mag
double
k_flg_60
K confusion flag for 60 arcsec circular ap. mag
long
j_m_70
J 70 arcsec radius circular aperture magnitude
mag
double
j_msig_70
J 1-sigma uncertainty in 70 arcsec circular ap. mag
mag
double
j_flg_70
J confusion flag for 70 arcsec circular ap. mag
long
h_m_70
H 70 arcsec radius circular aperture magnitude
mag
double
h_msig_70
H 1-sigma uncertainty in 70 arcsec circular ap. mag
mag
double
h_flg_70
H confusion flag for 70 arcsec circular ap. mag
long
k_m_70
K 70 arcsec radius circular aperture magnitude
mag
double
k_msig_70
K 1-sigma uncertainty in 70 arcsec circular ap. mag
mag
double
k_flg_70
K confusion flag for 70 arcsec circular ap. mag
long
j_m_sys
J system photometry magnitude
mag
double
j_msig_sys
J 1-sigma uncertainty in system photometry mag
mag
double
h_m_sys
H system photometry magnitude
mag
double
h_msig_sys
H 1-sigma uncertainty in system photometry mag
mag
double
k_m_sys
K system photometry magnitude
mag
double
k_msig_sys
K 1-sigma uncertainty in system photometry mag
mag
double
sys_flg
system flag: 0=no system, 1=nearby galaxy flux incl. in mag
long
contam_flg
contamination flag: 0=no stars, 1=stellar flux incl. in mag
long
j_5sig_ba
J minor/major axis ratio fit to the 5-sigma isophote
double
j_5sig_phi
J angle to 5-sigma major axis (E of N)
deg
long
h_5sig_ba
H minor/major axis ratio fit to the 5-sigma isophote
double
h_5sig_phi
H angle to 5-sigma major axis (E of N)
deg
long
k_5sig_ba
K minor/major axis ratio fit to the 5-sigma isophote
double
k_5sig_phi
K angle to 5-sigma major axis (E of N)
deg
long
j_d_area
J 5-sigma to 3-sigma differential area
long
j_perc_darea
J 5-sigma to 3-sigma percent area change
long
h_d_area
H 5-sigma to 3-sigma differential area
long
h_perc_darea
H 5-sigma to 3-sigma percent area change
long
k_d_area
K 5-sigma to 3-sigma differential area
long
k_perc_darea
K 5-sigma to 3-sigma percent area change
long
j_bisym_rat
J bi-symmetric flux ratio
double
j_bisym_chi
J bi-symmetric cross-correlation chi
double
h_bisym_rat
H bi-symmetric flux ratio
double
h_bisym_chi
H bi-symmetric cross-correlation chi
double
k_bisym_rat
K bi-symmetric flux ratio
double
k_bisym_chi
K bi-symmetric cross-correlation chi
double
j_sh0
J ridge shape (LCSB: BSNR limit)
double
j_sig_sh0
J ridge shape sigma (LCSB: B2SNR limit)
double
h_sh0
H ridge shape (LCSB: BSNR limit)
double
h_sig_sh0
H ridge shape sigma (LCSB: B2SNR limit)
double
k_sh0
K ridge shape (LCSB: BSNR limit)
double
k_sig_sh0
K ridge shape sigma (LCSB: B2SNR limit)
double
j_sc_mxdn
J mxdn (score) (LCSB: BSNR - block/smoothed SNR)
double
j_sc_sh
J shape (score)
double
j_sc_wsh
J wsh (score) (LCSB: PSNR - peak raw SNR)
double
j_sc_r23
J r23 (score) (LCSB: TSNR - integrated SNR for r=15)
double
j_sc_1mm
J 1st moment (score) (LCSB: super blk 2,4,8 SNR)
double
j_sc_2mm
J 2nd moment (score) (LCSB: SNRMAX - super SNR max)
double
j_sc_vint
J vint (score)
double
j_sc_r1
J r1 (score)
double
j_sc_msh
J median shape score
double
h_sc_mxdn
H mxdn (score) (LCSB: BSNR - block/smoothed SNR)
double
h_sc_sh
H shape (score)
double
h_sc_wsh
H wsh (score) (LCSB: PSNR - peak raw SNR)
double
h_sc_r23
H r23 (score) (LCSB: TSNR - integrated SNR for r=15)
double
h_sc_1mm
H 1st moment (score) (LCSB: super blk 2,4,8 SNR)
double
h_sc_2mm
H 2nd moment (score) (LCSB: SNRMAX - super SNR max)
double
h_sc_vint
H vint (score)
double
h_sc_r1
H r1 (score)
double
h_sc_msh
H median shape score
double
k_sc_mxdn
K mxdn (score) (LCSB: BSNR - block/smoothed SNR)
double
k_sc_sh
K shape (score)
double
k_sc_wsh
K wsh (score) (LCSB: PSNR - peak raw SNR)
double
k_sc_r23
K r23 (score) (LCSB: TSNR - integrated SNR for r=15)
double
k_sc_1mm
K 1st moment (score) (LCSB: super blk 2,4,8 SNR)
double
k_sc_2mm
K 2nd moment (score) (LCSB: SNRMAX - super SNR max)
double
k_sc_vint
K vint (score)
double
k_sc_r1
K r1 (score)
double
k_sc_msh
K median shape score
double
j_chif_ellf
J % chi-fraction for elliptical fit to 3-sig isophote
double
k_chif_ellf
K % chi-fraction for elliptical fit to 3-sig isophote
double
ellfit_flg
ellipse fitting contamination flag
long
sup_chif_ellf
super-coadd % chi-fraction for ellip. fit to 3-sig isophote
double
n_blank
number of blanked source records
long
n_sub
number of subtracted source records
long
bl_sub_flg
blanked/subtracted src description flag
long
id_flg
type/galaxy ID flag (0=non-catalog, 1=catalog, 2=LCSB)
long
id_cat
matched galaxy's catalog name
char
fg_flg
flux-growth convergence flag
char
blk_fac
LCSB blocking factor (1, 2, 4, 8)
long
j_h
default J-H mag color
mag
double
indexed
primary
j_h_sig
sigma for J-H mag color
mag
double
h_k
default H-K mag color
mag
double
indexed
primary
h_k_sig
sigma for H-K mag color
mag
double
j_k
default J-K mag color
mag
double
indexed
primary
j_k_sig
sigma for J-K mag color
mag
double
b_r
B-R mag color of associated optical source
mag
double
r_k
default R-K mag color (using associated optical source)
mag
double
b_k
default B-K mag color
mag
double
r_j
default R-J mag color
mag
double
b_j
default B-J mag color
mag
double
j_cal
J mag calibration value for source
mag
double
h_cal
H mag calibration value for source
mag
double
k_cal
K mag calibration value for source
mag
double
dup_src
has duplicate source extractions (overlap areas)
long
use_src
this extraction of source is to be used in catalog
long
spos
# of scans in which src position falls inside coverage area
long
sdet
# of scans in which src was detected in >=1 band
long
prox
distance in arcsec to nearest cat. ext source within 999.9"
arcsec
double
pxpa
angle (deg E of N) to nearest catalog source within 999.9"
deg
long
pxcntr
cntr of nearest catalog extended source within 999.9"
long
dist_edge_ns
distance to nearest north or south full-coverage scan edge
arcsec
double
dist_edge_ew
distance to nearest east or west full-coverage scan edge
arcsec
double
dist_edge_flg
flag indicating which edges ([n|s][e|w]) are nearest to src
char
pts_key
key to point source data DB record
long
mp_key
key to minor planet prediction DB record
long
night_key
key to night data record in "scan DB"
long
scan_key
key to scan data record in "scan DB"
long
coadd_key
key to coadd data record in "scan DB"
long
spt_ind
spatial (x,y,z) index key
pos.HTM
long
clr_ind
color index key
long
dirty
dirty data flag (0=OK, 1=dirty)
long
hemis
hemisphere (N/S) of observation
char
xdate
observation date
char
scan
scan number (unique within date)
long
coadd
3-digit coadd number (unique within scan)
long
id
source ID number (unique within scan, coadd)
long
x
unit sphere x value
pos.cartesian.x
double
y
unit sphere y value
pos.cartesian.y
double
z
unit sphere z value
pos.cartesian.z
double
x_coadd
x (cross-scan) position (coadd coord.)
arcsec
double
y_coadd
y (in-scan) position (coadd coord.)
arcsec
double
j_subst2
J residual background #2 (score)
double
h_subst2
H residual background #2 (score)
double
k_subst2
K residual background #2 (score)
double
j_back
J coadd median background
double
h_back
H coadd median background
double
k_back
K coadd median background
double
j_resid_ann
J residual annulus background median
'DN'
double
h_resid_ann
H residual annulus background median
'DN'
double
k_resid_ann
K residual annulus background median
'DN'
double
j_bndg_per
J banding Fourier Transf. period on this side of coadd
arcsec
long
j_bndg_amp
J banding maximum FT amplitude on this side of coadd
'DN'
double
h_bndg_per
H banding Fourier Transf. period on this side of coadd
arcsec
long
h_bndg_amp
H banding maximum FT amplitude on this side of coadd
'DN'
double
k_bndg_per
K banding Fourier Transf. period on this side of coadd
arcsec
long
k_bndg_amp
K banding maximum FT amplitude on this side of coadd
'DN'
double
j_seetrack
J band seetracking score
double
h_seetrack
H band seetracking score
double
k_seetrack
K band seetracking score
double
cntr
entry key (counter) number (unique within table)
meta.record;meta.main
long
indexed
external.xgboost_table1
Robust data-driven metallicities for 175 million stars from Gaia XP spectra. This is table 1 of Andrae+, 2023, ApJS, 267, 8. It contains 174,922,161 XGBoost parameters (temperature, surface gravity, and metallicity). XGBoost draws on a number of data features: the full set of Gaia DR3 XP spectral coefficients, narrowband fluxes derived from XP spectra, broadband Gaia DR3 magnitudes, Gaia DR3 parallaxes, and CatWISE2020 W1 and W2 magnitudes. The mean stellar parameter precision is 0.1 dex in [M/H], 50 K in Teff, and 0.08 dex in log(g). This table has been created in November 2023 based on version 2.1 of the dataset on Zenodo (https://doi.org/10.5281/zenodo.7945154). Reference paper: https://ui.adsabs.harvard.edu/abs/2023ApJS..267....8A/abstract (DOI: 10.3847/1538-4365/acd53e)
source_id
Gaia DR3 source identifier
meta.id
long
indexed
primary
catwise_w1
Apparent CatWISE 2020 W1 magnitude
mag
phot.mag;em.IR.3-4um
double
catwise_w2
Apparent CatWISE 2020 W2 magnitude
mag
phot.mag;em.IR.4-8um
double
in_training_sample
Flag for membership in training sample
meta.code.status
boolean
mh_xgboost
XGBoost estimate of [M/H]
'dex'
phys.abund.Z
double
indexed
primary
teff_xgboost
XGBoost estimate of Teff
K
phys.temperature.effective
double
indexed
primary
logg_xgboost
XGBoost estimate of log(g)
log(cm.s**-2)
phys.gravity
double
indexed
primary
external.xgboost_table2
Robust data-driven metallicities for 175 million stars from Gaia XP spectra. This is table 2 of Andrae+, 2023, ApJS, 267, 8. This table contains 17,558,141 XGBoost parameters (temperature, surface gravity, and metallicity) for bright (G < 16 mag) red giants whose [M/H] values are vetted to be precise and pure. XGBoost draws on a number of data features: the full set of Gaia DR3 XP spectral coefficients, narrowband fluxes derived from XP spectra, broadband Gaia DR3 magnitudes, Gaia DR3 parallaxes, and CatWISE2020 W1 and W2 magnitudes. The mean stellar parameter precision is 0.1 dex in [M/H], 50 K in Teff, and 0.08 dex in log(g). This table has been created in November 2023 based on version 2.1 of the dataset on Zenodo (https://doi.org/10.5281/zenodo.7945154). Reference paper: https://ui.adsabs.harvard.edu/abs/2023ApJS..267....8A/abstract (DOI: 10.3847/1538-4365/acd53e)
source_id
Gaia DR3 source identifier
meta.id
long
indexed
primary
l
Galactic longitude
deg
pos.galactic.lon
stc:AstroCoords.Position2D.Value2.C1
double
b
Galactic latitude
deg
pos.galactic.lat
stc:AstroCoords.Position2D.Value2.C2
double
ra
Right ascension (ICRS with epoch J2016.0)
deg
pos.eq.ra;meta.main
stc:AstroCoords.Position3D.Value3.C1
double
indexed
primary
dec
Declination (ICRS with epoch J2016.0)
deg
pos.eq.dec;meta.main
stc:AstroCoords.Position3D.Value3.C2
double
indexed
primary
parallax_corrected
Parallax with zero-point correction from Lindegren et al. (2021; https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...4L/abstract)
mas
pos.parallax.trig
double
indexed
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax.trig
double
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Value3.C1
double
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Error3.C1
double
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Value3.C2
double
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Error3.C2
double
ruwe
Renormalised unit weight error
stat.error
double
indexed
radial_velocity
Radial velocity
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
stc:AstroCoords.Velocity3D.Value3.C3
double
radial_velocity_error
Radial velocity error
km.s**-1
stat.error;spect.dopplerVeloc.opt;em.opt.I
stc:AstroCoords.Velocity3D.Error3.C3
double
phot_g_mean_mag
G-band mean magnitude
mag
phot.mag;em.opt
double
indexed
phot_bp_mean_mag
Integrated BP mean magnitude
mag
phot.mag;em.opt.B
double
phot_rp_mean_mag
Integrated RP mean magnitude
mag
phot.mag;em.opt.R
double
catwise_w1
Apparent CatWISE 2020 W1 magnitude
mag
phot.mag;em.IR.3-4um
double
catwise_w2
Apparent CatWISE 2020 W2 magnitude
mag
phot.mag;em.IR.4-8um
double
mh_xgboost
XGBoost estimate of [M/H]
'dex'
phys.abund.Z
double
indexed
primary
teff_xgboost
XGBoost estimate of Teff
K
phys.temperature.effective
double
indexed
primary
logg_xgboost
XGBoost estimate of log(g)
log(cm.s**-2)
phys.gravity
double
indexed
primary
in_training_sample
Flag for membership in training sample
meta.code.status
boolean
gaiadr1
Gaia Data Release 1
gaiadr1.aux_qso_icrf2_match
This table has an entry for all sources in the auxiliary QSO solution
matched to the ICRF2 sources and passing all quality filters discussed
in the corresponding documentation.
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
source_id
A unique single numerical identifier of the source.
For the contents of Gaia DR1, which does not include Solar System
objects, the source ID consists consists of a 64-bit integer, least
significant bit = 1 and most significant bit = 64, comprising:
- a HEALPix index number (sky pixel) in bits 36 - 63; by definition
the smallest HEALPix index number is zero.
- a 2-bit Data Processing Centre code in bits 34 - 35; for example
MOD(sourceId / 4294967296, 8) can be used to distinguish between
sources initialised via the Initial Gaia Source List by the Torino
DPC (code = 0) and sources otherwise detected and assigned by Gaia
observations (code >0)
- a 25-bit plus 7 bit sequence number within the HEALPix pixel in bits
1 - 32 split into:
- a 25 bit running number in bits 8 – 32; the running numbers are
defined to be positive, i.e. never zero (except in the case of
forced empty windows)
- a 7-bit component number in bits 1 – 7
- one spare bit in bit 33
This means that the HEALpix index level 12 of a given source is
contained in the most significant bits. HEALpix index of 12 and lower
levels can thus be retrieved as follows:
- HEALpix level 12 = source_id / 34359738368
- HEALpix level 11 = source_id / 137438953472
- HEALpix level 10 = source_id / 549755813888
- HEALpix level n = source_id / 2 ^ 35 * 4 ^ (12 - level).
Additional details can be found in the Gaia DPAC public document Source
Identifiers — Assignment and Usage throughout DPAC (document code
GAIA–C3–TN–ARI–BAS–020) available from
meta.id;meta.main
long
primary
ref_epoch
Reference epoch to which the astrometic source parameters are referred,
expressed as a Julian Year in TCB.
yr
meta.ref;time.epoch
double
ra
Barycentric right ascension \alpha of the source in ICRS at the
reference epoch refEpoch
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
primary
ra_error
Standard error \sigma_{\alpha *} \equiv \sigma_\alpha\cos\delta of the
right ascension of the source in ICRS at the reference epoch refEpoch.
mas
stat.error;pos.eq.ra
double
dec
Barycentric declination \delta of the source in ICRS at the reference
epoch refEpoch
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
primary
dec_error
Standard error \sigma_\delta of the declination of the source in ICRS at
the reference epoch refEpoch
mas
stat.error;pos.eq.dec
double
ra_dec_corr
Correlation between right ascension and declination, in dimensionless
units [-1:+1]
stat.correlation
float
phot_g_mean_mag
Mean magnitude in the G band. This is computed from the G-band mean flux
applying the magnitude zero-point in the Vega scale.
mag
phot.mag;em.opt
double
primary
astrometric_priors_used
Type of prior used in the astrometric solution:
- 0: No prior used
- 1: Galaxy Bayesian Prior for parallax and proper motion
- 2: Galaxy Bayesian Prior for parallax and proper motion relaxed by
factor 10
- 3: Hipparcos prior for position
- 4: Hipparcos prior for position and proper motion
- 5: Tycho2 prior for position
- 6: Quasar prior for proper motion
The Galaxy Bayesian Prior is defined in , where it is denoted
\sigma_{\varpi,F90} (for the parallax) and
\sigma_{\mu,F90}={\cal R}\sigma_{\varpi,F90}, with {\cal R}=10 yr^{-1}
(for proper motion). The Galaxy Bayesian Prior relaxed by a factor 10 is
10\sigma_{\varpi,F90} and 10\sigma_{\mu,F90}, respectively.
For Gaia DR1 the only types of priors used are 2 (for the secondary data
set), 3 (for the Hipparcos subset of the primary data set), or 5 (for
the non-Hipparcos subset of the primary data set). Type 6 was used for
internal calibration purposes and alignment of the reference frame.
meta.code
int
icrf2_match
ICRF2 designation of the source matched to this Gaia source.
meta.id.cross
char
rot_flag
Flag indicating how this source was used to fix the orientation of the
reference frame of the Gaia DR1 solution:
- 0: Not used
- 1: Only right ascention is used
- 2: Only declination is used
- 3: Both right ascention and declination are used
meta.code
int
gaiadr1.ext_phot_zero_point
Definition of the Gaia photometric system: for GDR1 only zero-points
will be computed, one for G and one for each integrated BP and
integrated RP. The adopted photometric system will be Vega.
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
primary
g_mag_zero_point
The magnitude zero point on the Vega scale for the G passband.
mag
phot.mag;arith.zp;em.opt
double
g_mag_zero_point_error
Error on the magnitude zero point for the G passband.
mag
stat.error;phot.mag;arith.zp;em.opt
double
bp_mag_zero_point
The magnitude zero point on the Vega scale for the BP passband.
mag
phot.mag;arith.zp
double
bp_mag_zero_point_error
Error on the magnitude zero point for the G passband.
mag
stat.error;phot.mag;arith.zp
double
rp_mag_zero_point
The magnitude zero point on the Vega scale for the RP passband.
mag
phot.mag;arith.zp
double
rp_mag_zero_point_error
Error on the magnitude zero point for the RP passband.
mag
stat.error;phot.mag;arith.zp
double
gaiadr1.allwise_best_neighbour
AllWISE implementation of BaseBestNeighbour
allwise_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
number_of_neighbours
Number of sources in the External Catalogue which match the Gaia source
within position errors.
The identifiers of all the neighbours can be found in the Neighbourhood
table.
meta.number
int
indexed
primary
number_of_mates
Number of other Gaia sources that have as best-neighbour the same
External Catalogue source.
In case there are no other Gaia sources with the same best-neighbour in
the external catalogue, the number of mates is equal to zero.
Given the Gaia high angular resolution, it will happen that what appears
as a single object in an external catalogue will be resolved by Gaia and
as such will be the best-match of more than one Gaia object.
meta.number
short
indexed
primary
best_neighbour_multiplicity
The best-match to a Gaia source in an external catalogue is the source
in the external catalogue that has the highest probability to be the
best-match.
As the probability is based on positional and density properties, it
could happen that there is more than one source in the external
catalogue with the same probability.
Even if a single best-match is always chosen, this field tells the user
if there were more “best” neighbours. Those neighbours can be found in
the Neighbourhood table.
meta.number
short
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.allwise_neighbourhood
AllWISE implementation of BaseNeighbourhood
allwise_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
score
Score of a given neighbour.
For the first Gaia release the score will be a likelihood ratio based on
geometric distance and local density of the external catalogue: the
higher the score, the most probable the match is.
meta.code
double
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.gsc23_best_neighbour
GSC2.3 implementation of BaseBestNeighbour
gsc23_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
number_of_neighbours
Number of sources in the External Catalogue which match the Gaia source
within position errors.
The identifiers of all the neighbours can be found in the Neighbourhood
table.
meta.number
int
indexed
primary
number_of_mates
Number of other Gaia sources that have as best-neighbour the same
External Catalogue source.
In case there are no other Gaia sources with the same best-neighbour in
the external catalogue, the number of mates is equal to zero.
Given the Gaia high angular resolution, it will happen that what appears
as a single object in an external catalogue will be resolved by Gaia and
as such will be the best-match of more than one Gaia object.
meta.number
short
indexed
primary
best_neighbour_multiplicity
The best-match to a Gaia source in an external catalogue is the source
in the external catalogue that has the highest probability to be the
best-match.
As the probability is based on positional and density properties, it
could happen that there is more than one source in the external
catalogue with the same probability.
Even if a single best-match is always chosen, this field tells the user
if there were more “best” neighbours. Those neighbours can be found in
the Neighbourhood table.
meta.number
short
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.gsc23_neighbourhood
GSC2.3 implementation of BaseNeighbourhood
gsc23_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
score
Score of a given neighbour.
For the first Gaia release the score will be a likelihood ratio based on
geometric distance and local density of the external catalogue: the
higher the score, the most probable the match is.
meta.code
double
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.ppmxl_best_neighbour
PPMXL implementation of BaseBestNeighbour
ppmxl_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
number_of_neighbours
Number of sources in the External Catalogue which match the Gaia source
within position errors.
The identifiers of all the neighbours can be found in the Neighbourhood
table.
meta.number
int
indexed
primary
number_of_mates
Number of other Gaia sources that have as best-neighbour the same
External Catalogue source.
In case there are no other Gaia sources with the same best-neighbour in
the external catalogue, the number of mates is equal to zero.
Given the Gaia high angular resolution, it will happen that what appears
as a single object in an external catalogue will be resolved by Gaia and
as such will be the best-match of more than one Gaia object.
meta.number
short
indexed
primary
best_neighbour_multiplicity
The best-match to a Gaia source in an external catalogue is the source
in the external catalogue that has the highest probability to be the
best-match.
As the probability is based on positional and density properties, it
could happen that there is more than one source in the external
catalogue with the same probability.
Even if a single best-match is always chosen, this field tells the user
if there were more “best” neighbours. Those neighbours can be found in
the Neighbourhood table.
meta.number
short
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.ppmxl_neighbourhood
PPMXL implementation of BaseNeighbourhood
ppmxl_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
score
Score of a given neighbour.
For the first Gaia release the score will be a likelihood ratio based on
geometric distance and local density of the external catalogue: the
higher the score, the most probable the match is.
meta.code
double
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.sdss_dr9_best_neighbour
URAT-1 implementation of BaseBestNeighbour
sdssdr9_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
number_of_neighbours
Number of sources in the External Catalogue which match the Gaia source
within position errors.
The identifiers of all the neighbours can be found in the Neighbourhood
table.
meta.number
int
indexed
primary
number_of_mates
Number of other Gaia sources that have as best-neighbour the same
External Catalogue source.
In case there are no other Gaia sources with the same best-neighbour in
the external catalogue, the number of mates is equal to zero.
Given the Gaia high angular resolution, it will happen that what appears
as a single object in an external catalogue will be resolved by Gaia and
as such will be the best-match of more than one Gaia object.
meta.number
short
indexed
primary
best_neighbour_multiplicity
The best-match to a Gaia source in an external catalogue is the source
in the external catalogue that has the highest probability to be the
best-match.
As the probability is based on positional and density properties, it
could happen that there is more than one source in the external
catalogue with the same probability.
Even if a single best-match is always chosen, this field tells the user
if there were more “best” neighbours. Those neighbours can be found in
the Neighbourhood table.
meta.number
short
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.sdss_dr9_neighbourhood
URAT-1 implementation of BaseNeighbourhood
sdssdr9_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
score
Score of a given neighbour.
For the first Gaia release the score will be a likelihood ratio based on
geometric distance and local density of the external catalogue: the
higher the score, the most probable the match is.
meta.code
double
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.tmass_best_neighbour
2MASS implementation of BaseBestNeighbour
tmass_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
number_of_neighbours
Number of sources in the External Catalogue which match the Gaia source
within position errors.
The identifiers of all the neighbours can be found in the Neighbourhood
table.
meta.number
int
indexed
primary
number_of_mates
Number of other Gaia sources that have as best-neighbour the same
External Catalogue source.
In case there are no other Gaia sources with the same best-neighbour in
the external catalogue, the number of mates is equal to zero.
Given the Gaia high angular resolution, it will happen that what appears
as a single object in an external catalogue will be resolved by Gaia and
as such will be the best-match of more than one Gaia object.
meta.number
short
indexed
primary
best_neighbour_multiplicity
The best-match to a Gaia source in an external catalogue is the source
in the external catalogue that has the highest probability to be the
best-match.
As the probability is based on positional and density properties, it
could happen that there is more than one source in the external
catalogue with the same probability.
Even if a single best-match is always chosen, this field tells the user
if there were more “best” neighbours. Those neighbours can be found in
the Neighbourhood table.
meta.number
short
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.tmass_neighbourhood
2MASS implementation of BaseNeighbourhod
tmass_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
score
Score of a given neighbour.
For the first Gaia release the score will be a likelihood ratio based on
geometric distance and local density of the external catalogue: the
higher the score, the most probable the match is.
meta.code
double
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.ucac4_best_neighbour
UCAC4 implementation of BaseBestNeighbour
ucac4_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
number_of_neighbours
Number of sources in the External Catalogue which match the Gaia source
within position errors.
The identifiers of all the neighbours can be found in the Neighbourhood
table.
meta.number
int
indexed
primary
number_of_mates
Number of other Gaia sources that have as best-neighbour the same
External Catalogue source.
In case there are no other Gaia sources with the same best-neighbour in
the external catalogue, the number of mates is equal to zero.
Given the Gaia high angular resolution, it will happen that what appears
as a single object in an external catalogue will be resolved by Gaia and
as such will be the best-match of more than one Gaia object.
meta.number
short
indexed
primary
best_neighbour_multiplicity
The best-match to a Gaia source in an external catalogue is the source
in the external catalogue that has the highest probability to be the
best-match.
As the probability is based on positional and density properties, it
could happen that there is more than one source in the external
catalogue with the same probability.
Even if a single best-match is always chosen, this field tells the user
if there were more “best” neighbours. Those neighbours can be found in
the Neighbourhood table.
meta.number
short
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.ucac4_neighbourhood
UCAC4 implementation of BaseNeighbourhood
ucac4_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
score
Score of a given neighbour.
For the first Gaia release the score will be a likelihood ratio based on
geometric distance and local density of the external catalogue: the
higher the score, the most probable the match is.
meta.code
double
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.urat1_best_neighbour
URAT-1 implementation of BaseBestNeighbour
urat1_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
number_of_neighbours
Number of sources in the External Catalogue which match the Gaia source
within position errors.
The identifiers of all the neighbours can be found in the Neighbourhood
table.
meta.number
int
indexed
primary
number_of_mates
Number of other Gaia sources that have as best-neighbour the same
External Catalogue source.
In case there are no other Gaia sources with the same best-neighbour in
the external catalogue, the number of mates is equal to zero.
Given the Gaia high angular resolution, it will happen that what appears
as a single object in an external catalogue will be resolved by Gaia and
as such will be the best-match of more than one Gaia object.
meta.number
short
indexed
primary
best_neighbour_multiplicity
The best-match to a Gaia source in an external catalogue is the source
in the external catalogue that has the highest probability to be the
best-match.
As the probability is based on positional and density properties, it
could happen that there is more than one source in the external
catalogue with the same probability.
Even if a single best-match is always chosen, this field tells the user
if there were more “best” neighbours. Those neighbours can be found in
the Neighbourhood table.
meta.number
short
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.urat1_neighbourhood
URAT-1 implementation of BaseNeighbourhood
urat1_oid
The additional numeric unique source identifier of the External
catalogue, increasing with Declination.
meta.id.cross
long
indexed
primary
source_id
Unique identifier of the Gaia source, the attribute corresponds to
GaiaSource.sourceId
meta.id;meta.main
long
indexed
primary
original_ext_source_id
The unique source identifier in the original External catalogue.
meta.id.cross
char
indexed
primary
angular_distance
Angular distance between a Gaia source and its nearest neighbour in the
External Catalogue
arcsec
pos.angDistance
double
indexed
primary
score
Score of a given neighbour.
For the first Gaia release the score will be a likelihood ratio based on
geometric distance and local density of the external catalogue: the
higher the score, the most probable the match is.
meta.code
double
indexed
primary
proper_motion_flag
This flag is set to 0 if Gaia proper motions were not available and were
thus not used in the XMatch.
This flag is set to 1 if Gaia proper motions were available and were
thus used in the XMatch (for the First Gaia release the TGASS
sub-sample.
meta.code.status
short
indexed
primary
gaiadr1.cepheid
This table describes the Cepheid stars identified in table
VariableSummary as classification=“CEP”. In the analyses only
observations with rejectedByVariabilityProcessing=false are included, as
found in table PhotVariableTimeSeriesGfov.
type_best_classification
Classification of a Cepheid into “DCEP”, “T2CEP” or “ACEP” using the
period-luminosity relations, which are different for the three different
types of Cepheids.
meta.code.class;src.class
char
type2_best_sub_classification
Sub-classification of a T2CEP Cepheids into BL Herculis (“BL_HER”), W
Virginis (“W_VIR”) or RV Tauris (“RV_TAU”) sub-types depending on the
source periodicity.
meta.code.class;src.class
char
mode_best_classification
Best mode classification estimate:
- “FUNDAMENTAL”: fundamental mode for typeBestClassification=“DCEP” or
“ACEP”
- “FIRST_OVERTONE”: first overtone for typeBestClassification=“DCEP”
or “ACEP”
- “SECOND_OVERTONE”: second overtone for typeBestClassification=“DCEP”
or “ACEP”
- “UNDEFINED”: if mode could not be clearly determined for
typeBestClassification=“DCEP” or “ACEP”
- “NOT_APPLICABLE”: when typeBestClassification=“T2CEP”
Cepheid pulsation mode is assigned using the period-luminosity
relations, which are different for the various pulsation modes, and the
plot of the Fourier parameter R21 vs Period.
meta.code.class;src.class
char
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
indexed
primary
source_id
A unique single numerical identifier of the source obtained from
GaiaSource (for a detailed description see GaiaSource.sourceId)
meta.id;meta.main
long
indexed
primary
p1
This parameter is filled with the period of the maximum power peak in
the frequencygram obtained from the modeling of the time series. The
light curve of the target star is modeled with a truncated Fourier
series (mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j +\phi_i)]).
Zero-point (zp), period (1/\nu_{max}), number of harmonics (i),
amplitudes (A_i), and phases (\phi_i) of the harmonics, for the G-band
light curve are determined using the Levenberg-Marquardt non linear
fitting algorithm.
d
time.period
double
p1_error
This parameter is filled with the uncertainty value of the p1 parameter.
Its value is derived with Monte Carlo simulations that generate several
(100) time series with the same time path as the data points but with
magnitudes generated randomly around the corresponding data value. For
each of these time series the period is derived from the non linear
modeling with a truncated Fourier series of the light curve. The mean of
all the periods found and its standard deviation are then computed, and
the latter value is kept as value to fill the p1Error parameter.
d
stat.error;time.period
double
epoch_g
The epoch of maximum light for the Gaia integrated G band. It
corresponds to the Baricentric Julian day (BJD) of the maximum value of
the light curve model which is closest to the BJD of the first
observations -3\timesp1.
The mentioned BJD is offset by JD 2455197.5 (= J2010.0).
d
time.epoch;stat.max
double
epoch_g_error
The uncertainty value of the epochG parameter. Its value is three times
the error on the p1.
d
stat.error;time.epoch
double
int_average_g
The intensity-averaged magnitude in the G-band. The intensity-averaged
magnitude is obtained by computing the average flux and then converting
the average flux to magnitude.
mag
phot.mag;em.opt
double
int_average_g_error
This parameter is filled with the uncertainty value of the intAverageG
parameter. The uncertainty is computed as the error(zp), where zp is the
zero point obtained by the non linear Fourier modeling of the light
curve.
mag
stat.error;phot.mag;em.opt
double
peak_to_peak_g
This parameter is filled with the peak-to-peak amplitude value of the G
band light curve. The peak-to-peak amplitude is calculated as the
(maximum) - (minimum) of the folded modeled light curve in the G band.
The light curve of the target star is modeled with a truncated Fourier
series (mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j
+\phi_i)]). Zero-point (zp), period (1/\nu_{max}), number of harmonics
(i), amplitudes (A_i), and phases (\phi_i) of the harmonics, for the
G-band light curve are determined using the Levenberg-Marquardt non
linear fitting algorithm.
mag
src.var.amplitude;em.opt
double
peak_to_peak_g_error
This parameter is filled with the uncertainty value of the peakToPeakG
parameter. The uncertainty is computed as the \sqrt{2}\times error(zp),
where zp is the zero point obtained by the non linear Fourier modeling
of the light curve.
mag
stat.error;src.var.amplitude;em.opt
double
num_harmonics_for_p1
This parameter is filled with the number of harmonics used to model P1
of the light curve. The light curve of the target star is modeled with a
truncated Fourier series
(mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j +\phi_i)]).
Zero-point (zp), period (1/\nu_{max}), number of harmonics (i),
amplitudes (A_i), and phases (\phi_i) of the harmonics are determined
using the Levenberg-Marquardt non linear fitting algorithm.
meta.number
int
r21_g
This parameter is filled with the Fourier decomposition parameter
R_{21} = A_2/A_1, where A_2 is the amplitude of the 2nd harmonic and
A_{1} is the amplitude of the fundamental harmonic of the truncated
Fourier series defined hereafter. The light curve of the target star is
modeled with a truncated Fourier series
(mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j +\phi_i)]).
Zero-point (zp), period (1/\nu_{max}), number of harmonics (i),
amplitudes (A_i), and phases (\phi_i) of the harmonics, are determined
using the Levenberg-Marquardt non linear fitting algorithm.
stat.Fourier
double
r21_g_error
This parameter is filled with the uncertainty value on the r21G
parameter. Its value isderived by propagation of the errors in the A2
and A1 parameters. Errors in A1,A2 are computed from Monte Carlo
simulations that generate several (100) time series with the same time
path as the data points but with magnitudes generated randomly around
the corresponding data value. The mean for each of these values and
their standard deviations are then computed, and the latter values are
kept as value to fill the uncertainty of the A1, A2 parameters.
stat.error
double
phi21_g
This parameter is filled with the Fourier decomposition parameter
\phi_{21}: \phi_2 - 2\phi_1 value. The light curve of the target star is
modeled with a truncated Fourier series (mag(t_j)=zp+\sum[A_i
sin(i \times 2 \pi \nu_{max} t_j +\phi_i)]). Zero-point (zp), period
(1/\nu_{max}), number of harmonics (i), amplitudes (A_i), and phases
(\phi_i) of the harmonics, for the G-band light curve are determined
using the Levenberg-Marquardt non linear fitting algorithm.
stat.Fourier
double
phi21_g_error
This parameter is filled with the uncertainty of the phi21G parameter.
Its value is derived by propagation of the errors in the phi1 and phi2
parameters. Errors in phi1,phi2 are computed from Monte Carlo
simulations that generate several (100) time series with the same time
path as the data points but with magnitudes generated randomly around
the corresponding data value. For each of these time series the phi1,
phi2 values are computed. The mean for each of these values and their
standard deviation are then computed, and the latter values are kept as
value to fill the uncertainty of the phi1 and phi2 parameters.
stat.error
double
gaiadr1.phot_variable_time_series_gfov
Field-of-view time series of sources that have photVariableFlag =
“VARIABLE” in the GaiaSource table.
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
indexed
primary
source_id
A unique single numerical identifier of the source obtained from
GaiaSource (for a detailed description see GaiaSource.sourceId)
meta.id;meta.main
long
indexed
primary
observation_time
Field-of-view transit averaged observation time in units of Barycentric
JD (in TCB) in days -2455197.5, computed as follows. First the
observation time is converted from On-board Mission Time (OBMT) into
Julian date in TCB (Temps Coordonnée Barycentrique). Next a correction
is applied for the light-travel time to the Solar system barycentre,
resulting in Barycentric Julian Date (BJD). Finally, an offset of
2455197.5 days is applied (corresponding to a reference time T_0 at
2010-01-01T00:00:00) to have a conveniently small numerical value.
Although the centroiding time accuracy of the individual CCD
observations is (much) below 1 ms, this per-FoV observation time is
averaged over typically 9 CCD observations taken in a time range of
about 44 sec.
d
time.epoch
double
indexed
primary
g_flux
G-band flux for the field-of-view transit observation.
'electron'.s**-1
phot.flux;em.opt
double
g_flux_error
Estimated uncertainty of G-band flux for the field-of-view transit
observation.
'electron'.s**-1
stat.error;phot.flux;em.opt
double
g_magnitude
G-band magnitude for the field-of-view transit observation, computed
from the gFlux field using magnitude zero-point defined in
ExtPhotZeroPoint.
mag
phot.mag;em.opt
double
rejected_by_variability_processing
Observations with this flag true have been excluded from the variability
result in tables VariableSummary, Cepheid, Rrlyrae, and
PhotVariableTimeSeriesGfovStatisticalParameters.
meta.code
boolean
gaiadr1.phot_variable_time_series_gfov_statistical_parameters
Statistical parameters of field-of-view time series, only including
observations with rejectedByVariabilityProcessing=false as found in
table PhotVariableTimeSeriesGfov. Note that only sources are included
that have photVariableFlag = “VARIABLE” in the GaiaSource table.
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
source_id
A unique single numerical identifier of the source obtained from
GaiaSource (for a detailed description see GaiaSource.sourceId)
meta.id;meta.main
long
num_observations_processed
The number of processed observations for variability analyses of this
source, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
meta.number
int
mean_obs_time
Name: The mean observation time
Input: Gaia barycentric light-travel time corrected FOV observation
times with respect to reference time T_0 = 2455197.5 days (=J2010.0 =
2010-01-01T00:00:00), only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Control parameters: None
Output: Let y_{i} be a time series of size N at times t_i. The mean
\overline{t} is defined as
\overline{t} = \frac{1}{N}\sum_{i=1}^N\ t_{i}. {\label{eq:1}}
d
time.epoch;stat.mean
double
minimum
Minimum magnitude of the G-band time series, only including observations
with rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
mag
phot.mag;stat.min
double
maximum
Maximum magnitude of the G-band time series, only including observations
with rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
mag
phot.mag;stat.max
double
mean
Name: The mean magnitude of the G-band time series
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Control parameters: None
Output: Let y_{i} be a time series of size N. The mean \overline{y} is
defined as
\overline{y} = \frac{1}{N}\sum_{i=1}^N\ y_{i}. {\label{eq:1}}
mag
phot.mag;stat.mean
double
median
Name: Median magnitude of the G-band time series
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Control parameters: None
Output: The (unweighted) 50th percentile value.
Let y_{i} be a time series of size N ordered such as
y_{(1)} \le y_{(2)} \le \cdots \le y_{(N)}. The m-th (per cent)
percentile P_m is defined for 0<m\leq 100 as follows: P_m=\left\{
\begin{array}{ll}
y_{(1)} & \mbox{if } 0< m< p_1 \\
y_{(i)}+\frac{m-p_i}{p_{i+1}-p_i}\,\left(y_{(i+1)}-y_{(i)}\right)& \mbox{if } p_i\leq m \leq p_{i+1} \\
y_{(N)} & \mbox{if } p_N < m \leq 100
\end{array}
\right. where p_i=100\,i/(N+1).
mag
phot.mag;stat.median
double
range
Name: Magnitude range of the G-band time series
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Control parameters: None
Output: Let y_{i} be a time series, y_{\rm max} its largest element, and
y_{\rm min} its smallest element, then the range is defined as
R = y_{\rm max} - y_{\rm min\label{eq:3}}
mag
phot.mag;arith.diff
double
std_dev
Name: The square root of the unbiased unweighted variance.
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Output: Let y_{i} be a time series of size N. The unweighted
standard deviation \hat{\sigma} is defined as the square root of the
sample-size unbiased unweighted variance:
\hat{\sigma}=\sqrt{\frac{1}{N-1}\sum_{i=1}^{N} (y_i-\overline{y})^2 }.
mag
stat.stdev;phot.mag
double
skewness
Name: The standardised unbiased unweighted skewness.
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Output: Let y_{i} be a time series of size N. The sample-size
unbiased unweighted skewness moment \mathcal{E} is defined as:
\mathcal{E}= \frac{N}{(N-1)(N-2)}\sum_{i=1}^{N}(y_i-\overline{y})^3.
The standardized unbiased skewness E is defined as:
E= \frac{\mathcal{E}}{\hat{\sigma}^{3}} where \hat{\sigma} is the
square root of the unbiased unweighted variance around the
unweighted mean. While \mathcal{E} is an unbiased estimate of the
population value, E becomes unbiased in the limit of large N.
stat.value
double
kurtosis
Name: The standardised unbiased unweighted kurtosis.
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Output: Let y_{i} be a time series of size N. The sample-size
unbiased unweighted kurtosis cumulant \mathcal{K} is defined as:
\mathcal{K} =\frac{N(N+1)}{(N-1)(N-2)(N-3)}\sum_{i=1}^{N} (y_i-\overline{y})^4 -\frac{3}{(N-2)(N-3)}\,\left[\sum_{i=1}^{N} (y_i-\overline{y})^2\right]^2.
The standardized unbiased kurtosis K is defined as:
K= \frac{\mathcal{K}}{\hat{\sigma}^{4}} where \hat{\sigma}^2 is the
unbiased unweighted variance around the unweighted mean. While
\mathcal{K} is an unbiased estimate of the population value, K
becomes unbiased in the limit of large N.
stat.value
double
time_duration
Duration of Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
d
time.duration
double
median_absolute_deviation
Name: The Median Absolute Deviation (MAD)
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Control parameters: None
Output: Let y_{i} be a time series of size N. The MAD is defined as the
median of the absolute deviations from the median of the data, scaled by
a factor of 1/\Phi^{-1}(3/4) \approx 1.4826 (where \Phi^{-1} is the
inverse of the cumulative distribution function for the standard normal
distribution), so that the expectation of the scaled MAD at large N
equals the standard deviation of a normal distribution:
\mbox{MAD}=1.4826 ~ \mbox{median}\{|y_i-\mbox{median}\{y_j, \forall j\in(1,N)\} |, \forall i\in(1,N) \}.
mag
phot.mag;stat.value
double
abbe
Name: The Abbe value
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Control parameters: None
Output: Let \{t_i,y_{i}\} be a time-sorted time series of size N, such
that t_i<t_{i+1} for all i<N. The Abbe value \cal{A} is defined as
{\cal A}=\frac{N}{2(N-1)}\frac{\sum_{i=1}^{N-1} (y_{i+1}-y_i)^2}{\sum_{i=1}^N (y_i-\bar{y})}
where \bar{y} is the unweighted mean.
stat.value
double
iqr
Name: The Interquartile Range (IQR)
Input: Gaia time series, only including observations with
rejectedByVariabilityProcessing=false, as found in table
PhotVariableTimeSeriesGfov.
Control parameters: None
Output: The difference between the (unweighted) 75th and 25th percentile
values: IQR=P_{75}-P_{25}.
Let y_{i} be a time series of size N ordered such as
y_{(1)} \le y_{(2)} \le \cdots \le y_{(N)}. The m-th (per cent)
percentile P_m is defined for 0<m\leq 100 as follows: P_m=\left\{
\begin{array}{ll}
y_{(1)} & \mbox{if } 0< m< p_1 \\
y_{(i)}+\frac{m-p_i}{p_{i+1}-p_i}\,\left(y_{(i+1)}-y_{(i)}\right)& \mbox{if } p_i\leq m \leq p_{i+1} \\
y_{(N)} & \mbox{if } p_N < m \leq 100
\end{array}
\right. where p_i=100\,i/(N+1).
mag
phot.mag;stat.value
double
gaiadr1.rrlyrae
This table describes the RRLyrae stars identified in table
VariableSummary as classification=“RRLYR”. In the analyses only
observations with rejectedByVariabilityProcessing=false are included, as
found in table PhotVariableTimeSeriesGfov.
best_classification
Classification of an RR Lyrae star according to the pulsation mode: RRc
(“RRC”) for first overtone and RRab (“RRAB”) for fundamental mode,
obtained using the period-amplitude diagram in the G-band and the plots
of the Fourier parameters R21 and Phi2 vs period.
meta.code.class;src.class
char
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
indexed
primary
source_id
A unique single numerical identifier of the source obtained from
GaiaSource (for a detailed description see GaiaSource.sourceId)
meta.id;meta.main
long
indexed
primary
p1
This parameter is filled with the period of the maximum power peak in
the frequencygram obtained from the modeling of the time series. The
light curve of the target star is modeled with a truncated Fourier
series (mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j +\phi_i)]).
Zero-point (zp), period (1/\nu_{max}), number of harmonics (i),
amplitudes (A_i), and phases (\phi_i) of the harmonics, for the G-band
light curve are determined using the Levenberg-Marquardt non linear
fitting algorithm.
d
time.period
double
p1_error
This parameter is filled with the uncertainty value of the p1 parameter.
Its value is derived with Monte Carlo simulations that generate several
(100) time series with the same time path as the data points but with
magnitudes generated randomly around the corresponding data value. For
each of these time series the period is derived from the non linear
modeling with a truncated Fourier series of the light curve. The mean of
all the periods found and its standard deviation are then computed, and
the latter value is kept as value to fill the p1Error parameter.
d
stat.error;time.period
double
epoch_g
The epoch of maximum light for the Gaia integrated G band. It
corresponds to the Baricentric Julian day (BJD) of the maximum value of
the light curve model which is closest to the BJD of the first
observations -3\timesp1.
The mentioned BJD is offset by JD 2455197.5 (= J2010.0).
d
time.epoch;stat.max
double
epoch_g_error
The uncertainty value of the epochG parameter. Its value is three times
the error on the p1.
d
stat.error;time.epoch
double
int_average_g
The intensity-averaged magnitude in the G-band. The intensity-averaged
magnitude is obtained by computing the average flux and then converting
the average flux to magnitude.
mag
phot.mag;em.opt
double
int_average_g_error
This parameter is filled with the uncertainty value of the intAverageG
parameter. The uncertainty is computed as the error(zp), where zp is the
zero point obtained by the non linear Fourier modeling of the light
curve.
mag
stat.error;phot.mag;em.opt
double
peak_to_peak_g
This parameter is filled with the peak-to-peak amplitude value of the G
band light curve. The peak-to-peak amplitude is calculated as the
(maximum) - (minimum) of the folded modeled light curve in the G band.
The light curve of the target star is modeled with a truncated Fourier
series (mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j
+\phi_i)]). Zero-point (zp), period (1/\nu_{max}), number of harmonics
(i), amplitudes (A_i), and phases (\phi_i) of the harmonics, for the
G-band light curve are determined using the Levenberg-Marquardt non
linear fitting algorithm.
mag
src.var.amplitude;em.opt
double
peak_to_peak_g_error
This parameter is filled with the uncertainty value of the peakToPeakG
parameter. The uncertainty is computed as the \sqrt{2}\times error(zp),
where zp is the zero point obtained by the non linear Fourier modeling
of the light curve.
mag
stat.error;src.var.amplitude;em.opt
double
num_harmonics_for_p1
This parameter is filled with the number of harmonics used to model P1
of the light curve. The light curve of the target star is modeled with a
truncated Fourier series
(mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j +\phi_i)]).
Zero-point (zp), period (1/\nu_{max}), number of harmonics (i),
amplitudes (A_i), and phases (\phi_i) of the harmonics are determined
using the Levenberg-Marquardt non linear fitting algorithm.
meta.number
int
r21_g
This parameter is filled with the Fourier decomposition parameter
R_{21} = A_2/A_1, where A_2 is the amplitude of the 2nd harmonic and
A_{1} is the amplitude of the fundamental harmonic of the truncated
Fourier series defined hereafter. The light curve of the target star is
modeled with a truncated Fourier series
(mag(t_j)=zp+\sum[A_i sin(i \times 2 \pi \nu_{max}t_j +\phi_i)]).
Zero-point (zp), period (1/\nu_{max}), number of harmonics (i),
amplitudes (A_i), and phases (\phi_i) of the harmonics, are determined
using the Levenberg-Marquardt non linear fitting algorithm.
stat.Fourier
double
r21_g_error
This parameter is filled with the uncertainty value on the r21G
parameter. Its value isderived by propagation of the errors in the A2
and A1 parameters. Errors in A1,A2 are computed from Monte Carlo
simulations that generate several (100) time series with the same time
path as the data points but with magnitudes generated randomly around
the corresponding data value. The mean for each of these values and
their standard deviations are then computed, and the latter values are
kept as value to fill the uncertainty of the A1, A2 parameters.
stat.error
double
phi21_g
This parameter is filled with the Fourier decomposition parameter
\phi_{21}: \phi_2 - 2\phi_1 value. The light curve of the target star is
modeled with a truncated Fourier series (mag(t_j)=zp+\sum[A_i
sin(i \times 2 \pi \nu_{max} t_j +\phi_i)]). Zero-point (zp), period
(1/\nu_{max}), number of harmonics (i), amplitudes (A_i), and phases
(\phi_i) of the harmonics, for the G-band light curve are determined
using the Levenberg-Marquardt non linear fitting algorithm.
stat.Fourier
double
phi21_g_error
This parameter is filled with the uncertainty of the phi21G parameter.
Its value is derived by propagation of the errors in the phi1 and phi2
parameters. Errors in phi1,phi2 are computed from Monte Carlo
simulations that generate several (100) time series with the same time
path as the data points but with magnitudes generated randomly around
the corresponding data value. For each of these time series the phi1,
phi2 values are computed. The mean for each of these values and their
standard deviation are then computed, and the latter values are kept as
value to fill the uncertainty of the phi1 and phi2 parameters.
stat.error
double
gaiadr1.variable_summary
Table with variability summary of sources with photVariableFlag =
“VARIABLE” in the GaiaSource table.
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
indexed
primary
source_id
A unique single numerical identifier of the source obtained from
GaiaSource (for a detailed description see GaiaSource.sourceId)
meta.id;meta.main
long
indexed
primary
phot_variable_fundam_freq1
Identified 1st fundamental frequencies in the photometric G band, copied
from either the Cepheid or Rrlyrae table depending on the value of
classification.
d**-1
src.var.pulse
double
classification
Photometric variability classification for the types included in this
data release: ‘RRLYR’ (RR Lyrae) or ‘CEP’ (Cepheid). The tables Cepheid
and Rrlyrae contain detailed results for each type.
meta.code.class;src.var
char
gaiadr1.allwise_original_valid
AllWISE source catalogue
Reference paper:
Wright et al. 2010, AJ, 140, 1868
Mainzer et al. 2011, ApJ, 731, 53
Original catalogue:
http://irsadist.ipac.caltech.edu/wise-allwise/
http://wise2.ipac.caltech.edu/docs/release/allwise/expsup/index.html
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
allwise_oid
Incremental unique numeric identifier (increasing with declination).
This is the only field which was not in the original allWISE catalogue,
but was added for cross-match purposes.
meta.id;meta.main
long
indexed
primary
designation
Sexagesimal, equatorial position-based source name in the form:
hhmmss.ss+ddmmss.s.
The full naming convention for AllWISE Source Catalog sources has the
form
“WISEA Jhhmmss.ss+ddmmss.s,” where “WISEA” indicates the source is from
the AllWISE Source Catalog, and “J” indicates the position is J2000. The
“WISEA” acronym is not listed explicitly in the designation column.
meta.id.cross
char
indexed
primary
ra
J2000 right ascension with respect to the 2MASS PSC reference frame from
the non-moving source extraction.
The sky coverage depth for sources in the AllWISE Catalog is
approximately twice as large in W1 and W2 as it is in W3 and W4. AllWISE
combined W1 and W2 Single-exposure images from the WISE 4-Band Cryo,
3-Band Cryo and NEOWISE Post-Cryo survey phases, and W3 and W4 images
from the 4-Band Cryo phase only. The additional epoch of W1 and W2
coverage accenuates the weight of those two bands in determining source
properties such as position and motion.
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
J2000 declination with respect to the 2MASS PSC reference frame from the
non-moving source extraction.
The sky coverage depth for sources in the AllWISE Catalog is
approximately twice as large in W1 and W2 as it is in W3 and W4. AllWISE
combined W1 and W2 Single-exposure images from the WISE 4-Band Cryo,
3-Band Cryo and NEOWISE Post-Cryo survey phases, and W3 and W4 images
from the 4-Band Cryo phase only. The additional epoch of W1 and W2
coverage accenuates the weight of those two bands in determining source
properties such as position and motion.
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_error
One-sigma uncertainty in right ascension coordinate from the non-moving
source extraction.
arcsec
stat.error;pos.eq.ra
double
dec_error
One-sigma uncertainty in declination coordinate from the non-moving
source extraction.
arcsec
stat.error;pos.eq.dec
double
radec_co_error
The co-sigma (radecCoError) of the equatorial position uncertainties
(raError and decError). Unit arcsec.
The covariance between the position errors, C_{\alpha \delta} can be
derived from the co-sigma by the formula:
C_{\alpha \delta} = radecCoError * |radecError|.
arcsec
stat.error
double
w1mpro
W1 magnitude measured with profile-fitting photometry, or the magnitude
of the 95% confidence brightness upper limit if the W1 flux measurement
has SNR<2. This column is null if the source is nominally detected in
W1, but no useful brightness estimate could be made. The corresponding
error column is null if the W1 profile-fit magnitude is a 95% confidence
upper limit.
CAUTION: WISE profile-fit (w?mpro) measurements are optimized for point
sources and will systematically underestimate the true flux of resolved
objects. If a source entry has extFlag>0, you may wish to examine the
elliptical aperture photometry which are measured using areas that are
scaled from 2MASS XSC morphologies.
mag
phot.mag;em.IR.3-4um
double
indexed
primary
w1mpro_error
W1 profile-fit photometric measurement uncertainty in mag units. This
column is null if the W1 profile-fit magnitude is a 95% confidence upper
limit or if the source is not measurable.
mag
stat.error;phot.mag
double
w2mpro
W2 magnitude measured with profile-fitting photometry, or the magnitude
of the 95% confidence brightness upper limit if the W2 flux measurement
has SNR<2. This column is null if the source is nominally detected in
W2, but no useful brightness estimate could be made. The corresponding
error column is null if the W2 profile-fit magnitude is a 95% confidence
upper limit.
CAUTION: WISE profile-fit (w?mpro) measurements are optimized for point
sources and will systematically underestimate the true flux of resolved
objects. If a source entry has extFlag>0, you may wish to examine the
elliptical aperture photometry which are measured using areas that are
scaled from 2MASS XSC morphologies.
mag
phot.mag;em.IR.4-8um
double
indexed
primary
w2mpro_error
W2 profile-fit photometric measurement uncertainty in mag units. This
column is null if the W2 profile-fit magnitude is a 95% confidence upper
limit or if the source is not measurable.
mag
stat.error;phot.mag
double
w3mpro
W3 magnitude measured with profile-fitting photometry, or the magnitude
of the 95% confidence brightness upper limit if the W3 flux measurement
has SNR<2. This column is null if the source is nominally detected in
W3, but no useful brightness estimate could be made. The corresponding
error column is null if the W3 profile-fit magnitude is a 95% confidence
upper limit.
CAUTION: WISE profile-fit (w?mpro) measurements are optimized for point
sources and will systematically underestimate the true flux of resolved
objects. If a source entry has extFlag>0, you may wish to examine the
elliptical aperture photometry which are measured using areas that are
scaled from 2MASS XSC morphologies.
mag
phot.mag;em.IR.8-15um
double
indexed
primary
w3mpro_error
W3 profile-fit photometric measurement uncertainty in mag units. This
column is null if the W3 profile-fit magnitude is a 95% confidence upper
limit or if the source is not measurable.
mag
stat.error;phot.mag
double
w4mpro
W4 magnitude measured with profile-fitting photometry, or the magnitude
of the 95% confidence brightness upper limit if the W4 flux measurement
has SNR<2. This column is null if the source is nominally detected in
W4, but no useful brightness estimate could be made. The corresponding
error column is null if the W1 profile-fit magnitude is a 95% confidence
upper limit.
CAUTION: WISE profile-fit (w?mpro) measurements are optimized for point
sources and will systematically underestimate the true flux of resolved
objects. If a source entry has extFlag>0, you may wish to examine the
elliptical aperture photometry which are measured using areas that are
scaled from 2MASS XSC morphologies.
mag
phot.mag;em.IR.15-30um
double
indexed
primary
w4mpro_error
W4 profile-fit photometric measurement uncertainty in mag units. This
column is null if the W4 profile-fit magnitude is a 95% confidence upper
limit or if the source is not measurable.
mag
stat.error;phot.mag
double
cc_flags
Contamination and confusion flag.
Four character string, one character per band [W1/W2/W3/W4], that
indicates that the photometry and/or position measurements of a source
may be contaminated or biased due to proximity to an image artifact.
The type of artifact that may contaminate the measurements is denoted by
the following codes. Lower-case letters correspond to instances in which
the source detection in a band is believed to be real but the
measurement may be contaminated by the artifact. Upper-case letters are
instances in which the source detection in a band may be a spurious
detection of an artifact.
- D,d - Diffraction spike. Source may be a spurious detection of (D)
or contaminated by (d) a diffraction spike from a nearby bright star
on the same image, or
- P,p - Persistence. Source may be a spurious detection of (P) or
contaminated by (p) a short-term latent image left by a bright
source, or
- H,h - Halo. Source may be a spurious detection of (H) or
contaminated by (h) the scattered light halo surrounding a nearby
bright source, or
- O,o (letter “o”) - Optical ghost. Source may be a spurious detection
of (O) or contaminated by (o) an optical ghost image caused by a
nearby bright source, or
- 0 (number zero) - Source is unaffected by known artifacts.
A source extraction may be affected by more than one type of artifact or
condition. In this event, the ccFlags value in each band is set in the
following priority order: D,P,H,O,d,p,h,o,0.
A source can appear in the AllWISE Source Catalog even if it is flagged
as a spurious artifact detection in a band if there is a reliable
detection in another band that is not flagged as a spurious artifact
detection.
CAUTION: Non-zero ccFlags values in any band indicate the the
measurement in that band may be contaminated and the photometry should
be used with caution.
meta.code
char
ext_flag
Extended source flag.
This is an integer flag, the value of which indicates whether or not the
morphology of a source is consistent with the WISE point spread function
in any band, or whether the source is associated with or superimposed on
a previously known extended object from the 2MASS Extended Source
Catalog (XSC).
The values of the extFlag indicate the following conditions:
- 0 - The source shape is consistent with a point-source and the
source is not associated with or superimposed on a 2MASS XSC source
- 1 - The profile-fit photometry goodness-of-fit is >3.0 in one or
more bands.
- 2 - The source falls within the extrapolated isophotal footprint of
a 2MASS XSC source.
- 3 - The profile-fit photometry goodness-of-fit is >3.0 in one or
more bands, and the source falls within the extrapolated isophotal
footprint of a 2MASS XSC source.
- 4 - The source position falls within 5 arcsec of a 2MASS XSC source.
- 5 - The profile-fit photometry goodness-of-fit is >3.0 in one or
more bands, and the source position falls within 5 arcsec of a 2MASS
XSC source.
CAUTION: WISE profile-fit (w?mpro) measurements are optimized for point
sources and will systematically underestimate the true flux of resolved
objects. If a source entry has extFlag>0, you may wish to examine the
elliptical aperture photometry which are measured using areas that are
scaled from 2MASS XSC morphologies.
meta.code
short
var_flag
Variability flag.
The variability flag is a four-character string, one character per band,
in which the value for each band is related to the probability that the
source flux measured on the individual WISE exposures was not constant
with time.
The probability is computed for a band only when there are at least six
single-exposure measurements available that satisfy minimum quality
criteria.
A value of “n” in a band indicates insufficient or inadequate data to
make a determination of possible variability.
Values of “0” through “9” indicate increasing probabilities of
variation. Values of “0” through “5” are most likely not variables.
Sources with values of “6” and “7” are likely flux variables, but are
the most susceptible to false-positive variability.
VarFlag values greater than “7” have the highest probability of being
true flux variables in a band.
CAUTION: Estimation of flux variability is unreliable for sources that
are extended (extFlag>0), and sources whose measurements are
contaminated by image artifacts in a band (ccFlags[band] != 0).
meta.code;src.var
char
ph_qual
Photometric quality flag.
Four character flag, one character per band [W1/W2/W3/W4], that provides
a shorthand summary of the quality of the profile-fit photometry
measurement in each band, as derived from the measurement
signal-to-noise ratio.
- A - Source is detected in this band with a flux signal-to-noise
ratio >10.
- B - Source is detected in this band with a flux signal-to-noise
ratio 3<snr<10.
- C - Source is detected in this band with a flux signal-to-noise
ratio 2<snr<3.
- U - Upper limit on magnitude. Source measurement has w?snr<2. The
profile-fit magnitude w?mpro is a 95% confidence upper limit.
- X - A profile-fit measurement was not possible at this location in
this band. The value of w?mpro and w?sigmpro will be “null” in this
band.
- Z - A profile-fit source flux measurement was made at this location,
but the flux uncertainty could not be measured. The value of
w?sigmpro will be “null” in this band. The value of w?mpro will be
“null” if the measured flux, w?flux, is negative, but will not be
“null” if the flux is positive. If a non-null magnitude is present,
it corresponds to the true flux, and not the 95% confidence upper
limit. This occurs for a small number of sources found in a narrow
range of ecliptic longitude which were covered by a large number of
saturated pixels from 3-Band Cryo single-exposures.
meta.code.qual;phot
char
w1mjd_mean
The average modified Julian Date (mJD) of the W1 single-exposures
covering the source.
d
time.epoch;stat.mean
double
w2mjd_mean
The average modified Julian Date (mJD) of the W2 single-exposures
covering the source.
d
time.epoch;stat.mean
double
w3mjd_mean
The average modified Julian Date (mJD) of the W3 single-exposures
covering the source.
d
time.epoch;stat.mean
double
w4mjd_mean
The average modified Julian Date (mJD) of the W4 single-exposures
covering the source.
d
time.epoch;stat.mean
double
w1gmag
W1 magnitude of source measured in the elliptical aperture.
WISE profile-fit (w?mpro) measurements are optimized for point sources
and will systematically underestimate the true flux of resolved objects.
If a source entry has extFlag>0, you may wish to examine the elliptical
aperture photometry which are measured using areas that are scaled from
2MASS XSC morphologies.
mag
phot.mag;em.IR.3-4um
double
w1gmag_error
Uncertainty in the W1 magnitude of source measured in elliptical
aperture.
CAUTION: A w1gerr value of 9.999 indicates that the measurement
uncertainty is very large, or the uncertainty could not be computed. In
either case, the w1gmag measurement should be considered highly suspect.
mag
stat.error
double
w2gmag
W2 magnitude of source measured in the elliptical aperture.
WISE profile-fit (w?mpro) measurements are optimized for point sources
and will systematically underestimate the true flux of resolved objects.
If a source entry has extFlag>0, you may wish to examine the elliptical
aperture photometry which are measured using areas that are scaled from
2MASS XSC morphologies.
mag
phot.mag;em.IR.4-8um
double
w2gmag_error
Uncertainty in the W2 magnitude of source measured in elliptical
aperture.
CAUTION: A w2gerr value of 9.999 indicates that the measurement
uncertainty is very large, or the uncertainty could not be computed. In
either case, the w2gmag measurement should be considered highly suspect.
mag
stat.error
double
w3gmag
W3 magnitude of source measured in the elliptical aperture.
WISE profile-fit (w?mpro) measurements are optimized for point sources
and will systematically underestimate the true flux of resolved objects.
If a source entry has extFlag>0, you may wish to examine the elliptical
aperture photometry which are measured using areas that are scaled from
2MASS XSC morphologies.
mag
phot.mag;em.IR.8-15um
double
w3gmag_error
Uncertainty in the W3 magnitude of source measured in elliptical
aperture.
CAUTION: A w3gerr value of 9.999 indicates that the measurement
uncertainty is very large, or the uncertainty could not be computed. In
either case, the w3gmag measurement should be considered highly suspect.
mag
stat.error
double
w4gmag
W4 magnitude of source measured in the elliptical aperture.
WISE profile-fit (w?mpro) measurements are optimized for point sources
and will systematically underestimate the true flux of resolved objects.
If a source entry has extFlag>0, you may wish to examine the elliptical
aperture photometry which are measured using areas that are scaled from
2MASS XSC morphologies.
mag
phot.mag;em.IR.15-30um
double
w4gmag_error
Uncertainty in the W4 magnitude of source measured in elliptical
aperture.
CAUTION: A w4gError value of 9.999 indicates that the measurement
uncertainty is very large, or the uncertainty could not be computed. In
either case, the w4gmag measurement should be considered highly suspect.
mag
stat.error
double
tmass_key
2MASS PSC association.
Unique identifier of the closest source in the 2MASS Point Source
Catalog (PSC) that falls within 3 arcsec of the non-motion fit position
of this WISE source. This is equivalent to the pts_key in the 2MASS PSC
entry.
This column is “null” if there is no 2MASS PSC source within 3 arcsec of
the WISE source position.
meta.id.assoc
long
indexed
primary
gaiadr1.gsc23_original_valid
GSC 2.3 Catalogue
Reference paper: Lasker et al. 2008, AJ 136,735
Original catalogue: R. Smart private communication
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
gsc23_oid
Incremental unique numeric identifier (increasing with declination).
This is the only field which was not in the original GSC2.3 catalogue,
but was added for cross-match purposes.
meta.id;meta.main
long
indexed
primary
gsc23_identifier
The GSC2.3 identification is made of 10 characters, the first four
representing the level-6 HTM (Hierarchical Triangular Mesh) coded in
base 36 (0..9 and A..Z), and the last 6 represent a zero-filled sequence
number assigned to each source upon initial detection.
meta.id.cross
char
indexed
primary
ra
J2000 right ascension with respect to the ICRS.
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
J2000 declination with respect to the ICRS.
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
position_epoch
Plate epoch for GSC-II objects. For Tycho-2 objects, for which RA epoch
and DEC epoch are different, the RA epoch is given.
yr
time.epoch
double
ra_error
Reference error in RA*cos(DEC) at position epoch (positionEpoch). These
astrometric errors are not formal statistical uncertainties but raw and
conservative estimates to be used for telescope operations.
arcsec
stat.error;pos.eq.ra
double
dec_error
Reference error in DEC at position epoch (positionEpoch). These
astrometric errors are not formal statistical uncertainties but raw and
conservative estimates to be used for telescope operations.
arcsec
stat.error;pos.eq.dec
double
fpg_mag
Magnitude in Rf photographic band (red).
mag
phot.mag;em.opt.R
double
indexed
primary
fpg_mag_error
Reference error in Rf photographic band (red).
These photometric errors are not formal statistical uncertainties but
raw and conservative estimates to be used for telescope operations.
mag
stat.error;phot.mag;em.opt.R
double
fpg_mag_code
coded emulsion / bandpass / filter:
———————————————————————-
bcode Name Emulsion/Filter
———————————————————————-
35 Fpg IIIaF+RG610 (POSS-II Red)
36 Fpg IIIaF+OG590 (SERC-ER/SR, AAO-R/GR)
———————————————————————-
meta.code;instr.filter
short
jpg_mag
Magnitude in Bj photographic band (blue).
mag
phot.mag;em.opt
double
indexed
primary
jpg_mag_error
Reference error in Bj photographic band (blue).
These photometric errors are not formal statistical uncertainties but
raw and conservative estimates to be used for telescope operations.
mag
stat.error;phot.mag
double
jpg_mag_code
coded emulsion / bandpass / filter:
———————————————————————-
bcode Name Emulsion/Filter
———————————————————————-
0 Jpg IIIaJ+GG395 (SERC-J/EJ)
18 Jpg IIIaJ+GG385 (POSS-II Blue)
———————————————————————-
meta.code;instr.filter
short
v_mag
Magnitude in V band.
This magnitude may include:
- photographic V_12 or V_485 from IIaD plates,
- V_T of Tycho-2 stars, or
- Johnson V from SKY2000
mag
phot.mag;em.opt.V
double
indexed
primary
v_mag_error
Reference error in V band.
These photometric errors are not formal statistical uncertainties but
raw and conservative estimates to be used for telescope operations.
mag
stat.error;phot.mag;em.opt.V
double
v_mag_code
coded emulsion / bandpass / filter:
———————————————————————-
bcode Name Emulsion/Filter
———————————————————————-
1 V IIaD+W12 (Pal Quick-V)
4 V (Johnson)
6 V495 IIaD+GG495 (Pal QV/AAO XV)
42 VT TYCHO-V
———————————————————————-
meta.code;instr.filter
short
npg_mag
Magnitude in In photographic band.
mag
phot.mag;em.opt.I
double
indexed
primary
npg_mag_error
Reference error in In photographic band.
These photometric errors are not formal statistical uncertainties but
raw and conservative estimates to be used for telescope operations.
mag
stat.error;phot.mag;em.opt.I
double
npg_mag_code
coded emulsion / bandpass / filter:
———————————————————————-
bcode Name Emulsion/Filter
———————————————————————-
37 Npg IVN+RG9 (POSS-II IR)
38 Npg IVN+RG715 (SERC-IR)
———————————————————————-
meta.code;instr.filter
short
b_mag
Magnitude in B band.
This filter may include:
- B_T of Tycho-2 stars,
- Johnson B from SKY2000, or
- photographic O from pOSS-I.
mag
phot.mag;em.opt.B
double
indexed
primary
b_mag_error
Reference error in B band.
These photometric errors are not formal statistical uncertainties but
raw and conservative estimates to be used for telescope operations.
mag
stat.error;phot.mag;em.opt.B
double
b_mag_code
coded emulsion / bandpass / filter:
———————————————————————-
bcode Name Emulsion/Filter
———————————————————————-
3 B (Johnson)
7 O 103aO+no filter (POSS-I Blue)
41 BT TYCHO-B
———————————————————————-
meta.code;instr.filter
short
classification
Image classification:
0 = “star”, i.e. point-like object
3 = “nonstar”, i.e. extended object
meta.code.class;src.morph
short
status
The status code is a 10-digit field encoding the properties of the
catalog object.
This flag is 99999900 for a Tycho object and 88888800 for SKY2000
object.
FPA = Fractional Pixel Allocation)
meta.code
char
mult_flag
This flag concerns only the Tycho stars (Status=99999900).
meta.code
short
gaiadr1.ppmxl_original_valid
PPMXL Catalogue
Reference papers:
PPMXL: Roeser et al. 2010, AJ 139, 2440
PPMX: Roeser et al. 2008,A&A 488, 401
Original Catalogue:
VO access: http://vo.uni-hd.de/ppmxl
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
ppmxl_oid
Incremental unique numeric identifier (increasing with declination).
This field was not in the original PPMXL catalogue, but was added for
cross-match purposes.
meta.id;meta.main
long
indexed
primary
ipix
Identifier (Q3C ipix of the USNO-B 1.0 object)
meta.id.cross
long
indexed
primary
ra
J2000 right ascension with respect to the ICRS, epoch 2000.0
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
J2000 declination with respect to the ICRS, epoch 2000.0.
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_error_epra
Mean error in RA*cos(DEC) at mean epoch.
mas
stat.error;pos.eq.ra
double
dec_error_epde
Mean error in DEC at mean epoch.
mas
stat.error;pos.eq.dec
double
pmra
Proper motion in RA*cos(DEC).
mas.yr**-1
pos.pm;pos.eq.ra
double
pmde
Proper motion in Declination.
mas.yr**-1
pos.pm;pos.eq.dec
double
pmra_error
Mean error in proper motion in RA*cos(DEC).
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
double
pmde_error
Mean error in proper motion in DEC.
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
double
n_epochs
Number of catalogs (epoch) used for proper motions.
May be blank (null) for stars coming from ARIHIP or Tycho-2 via PPMX
(i.e. bit#1 is set in “fl”).
meta.number;time.epoch
short
epra
Mean Epoch for RA.
yr
time.epoch;pos.eq.ra;stat.mean
double
epde
Mean Epoch for DEC.
yr
time.epoch;pos.eq.dec;stat.mean
double
b1mag
B mag from USNO-B, first epoch.
Magnitudes from USNO-B should be used with care, photometric calibration
may be severely off for some plates.
For objects from PPMX (bit#1 set in “fl”), these magnitudes have a
special meaning:
————————————————————
Column [PPMX] Content
————————————————————
b1mag [Cmag] Catalogue magnitude from source
b2mag [Bmag] Johnson B magnitude
r1mag [Rmag] calculated Ru (UCAC) magnitude from source
r2mag — (always empty)
imag [Vmag] Johnson V magnitude
mag
phot.mag;em.opt.B
double
indexed
primary
b2mag
B mag from USNO-B, second epoch.
Magnitudes from USNO-B should be used with care, photometric calibration
may be severely off for some plates.
For objects from PPMX (bit#1 set in “fl”), these magnitudes have a
special meaning:
————————————————————
Column [PPMX] Content
————————————————————
b1mag [Cmag] Catalogue magnitude from source
b2mag [Bmag] Johnson B magnitude
r1mag [Rmag] calculated Ru (UCAC) magnitude from source
r2mag — (always empty)
imag [Vmag] Johnson V magnitude
mag
phot.mag;em.opt.B
double
indexed
primary
r1mag
R mag from USNO-B, first epoch.
Magnitudes from USNO-B should be used with care, photometric calibration
may be severely off for some plates.
For objects from PPMX (bit#1 set in “fl”), these magnitudes have a
special meaning:
————————————————————
Column [PPMX] Content
————————————————————
b1mag [Cmag] Catalogue magnitude from source
b2mag [Bmag] Johnson B magnitude
r1mag [Rmag] calculated Ru (UCAC) magnitude from source
r2mag — (always empty)
imag [Vmag] Johnson V magnitude
mag
phot.mag;em.opt.R
double
indexed
primary
r2mag
R mag from USNO-B, second epoch.
Magnitudes from USNO-B should be used with care, photometric calibration
may be severely off for some plates.
For objects from PPMX (bit#1 set in “fl”), these magnitudes have a
special meaning:
————————————————————
Column [PPMX] Content
————————————————————
b1mag [Cmag] Catalogue magnitude from source
b2mag [Bmag] Johnson B magnitude
r1mag [Rmag] calculated Ru (UCAC) magnitude from source
r2mag — (always empty)
imag [Vmag] Johnson V magnitude
mag
phot.mag;em.opt.R
double
indexed
primary
imag
I mag from USNO-B.
Magnitudes from USNO-B should be used with care, photometric calibration
may be severely off for some plates.
For objects from PPMX (bit#1 set in “fl”), these magnitudes have a
special meaning:
————————————————————
Column [PPMX] Content
————————————————————
b1mag [Cmag] Catalogue magnitude from source
b2mag [Bmag] Johnson B magnitude
r1mag [Rmag] calculated Ru (UCAC) magnitude from source
r2mag — (always empty)
imag [Vmag] Johnson V magnitude
mag
phot.mag;em.opt.I
double
indexed
primary
flags
The flag is a bitwise or number (\Sigma 2^i) where each bit number (i)
has the meaning:
#0 (1) = if set, one of the coordinates had an excessively large chi
square.
#1 (2) = Row is from PPMX. These objects are mostly Tycho stars that
were masked out of USNO-B. When this bit is set, the USNO magnitudes
(b1mag through imag) have special meanings.
#2 (4) = Row is from PPMX and replaces a single row from USNO-B. This is
done when the astrometry from PPMX was better (in terms of error
estimates) than the astrometry of the corresponding PPMXL object.
#3 (8) = Row replaces multiple USNO-B1.0 objects. When PPMX contains an
object that has more than one counterpart in PPMXL, all such
counterparts are discarded on the assumption that they should have been
matched in USNO-B1.0 or result from erroneous matches. For these rows,
bit#1 is always 1.
meta.code
short
gaiadr1.sdssdr9_original_valid
SDSS DR9 Catalogue, primary object only, extracted from photoObj fits
files.
Reference paper: Ahn et al. 2012, ApJS 203,21
Original catalogue: http://data.sdss3.org/sas/dr9/boss/photoObj/
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
sdssdr9_oid
Incremental unique numeric identifier (increasing with declination).
This is the only field which was not in the original SDSS DR9 catalogue,
but was added for cross-match purposes.
meta.id;meta.main
long
indexed
primary
obj_id
A number identifying an object in the image catalog for DR9. It is a
bit-encoded integer of run, rerun, camcol, field, object.
The bits are assigned in objid as follows:
- 63 0, unassigned
- 59-62 skyVersion resolved sky version
- 48-58 rerun, number of pipeline rerun
- 32-47 run, run number
- 29-31 camcol, camera column (1-6)
- 28 0, unassigned
- 16-27 field, field number within run
- 0-15 id, object number within field
meta.id
char
indexed
primary
thing_id
Each unique source in the SDSS catalog is identified by the thingId.
Each source may have been observed more than once in multiple runs, and
might therefore have multiple detections listed in the catalog. Only one
detection is considered primary.
meta.id
long
ra
J2000 Right Ascension (from r-band, or best other band if r-band if too
faint or saturated in r).
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
J2000 Declination (from r-band, or best other band if r-band if too
faint or saturated in r).
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_error
Error in RA*cos(DEC)
arcsec
stat.error;pos.eq.ra
double
dec_error
Error in DEC.
arcsec
stat.error;pos.eq.dec
double
mjd
Modified Julian Date, used to indicate the date that a given piece of
SDSS data (image or spectrum) was taken.
d
time.epoch
double
u_mag
For isolated stars, which are well-described by the point spread
function (PSF), the optimal measure of the total flux is determined by
fitting a PSF model to the object.
mag
phot.mag;em.opt
double
indexed
primary
u_mag_error
PSF magnitude error.
mag
stat.error;phot.mag;em.opt
double
g_mag
For isolated stars, which are well-described by the point spread
function (PSF), the optimal measure of the total flux is determined by
fitting a PSF model to the object.
mag
phot.mag;em.opt
double
indexed
primary
g_mag_error
PSF magnitude error.
mag
stat.error;phot.mag;em.opt
double
r_mag
For isolated stars, which are well-described by the point spread
function (PSF), the optimal measure of the total flux is determined by
fitting a PSF model to the object.
mag
phot.mag;em.opt
double
indexed
primary
r_mag_error
PSF magnitude error.
mag
stat.error;phot.mag;em.opt
double
i_mag
For isolated stars, which are well-described by the point spread
function (PSF), the optimal measure of the total flux is determined by
fitting a PSF model to the object.
mag
phot.mag;em.opt
double
indexed
primary
i_mag_error
PSF magnitude error.
mag
stat.error;phot.mag;em.opt
double
z_mag
For isolated stars, which are well-described by the point spread
function (PSF), the optimal measure of the total flux is determined by
fitting a PSF model to the object.
mag
phot.mag;em.opt
double
indexed
primary
z_mag_error
PSF magnitude error.
mag
stat.error;phot.mag;em.opt
double
objc_type
Distinguishes stars (type=6) and galaxies (type=3) based on their
morphology. It is quantified on the basis of the difference between the
PSF and model magnitudes.
meta.code.class;src.morph
int
clean_flag
Clean photometry flag for point sources (1=clean, 0=unclean).
meta.code.qual
int
gaiadr1.tmass_original_valid
2MASS PSC Catalogue
Reference paper: Skrutskie et al. 2006, AJ 131, 1163
Documentation:
http://www.ipac.caltech.edu/2mass/releases/allsky/doc/explsup.html
Original catalogue: ftp://ftp.ipac.caltech.edu/pub/2mass/allsky
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
ph_qual
Photometric quality flag. Three character flag, one character per band
[JHKs], that provides a summary of the net quality of the default
photometry in each band.
The value for ph_qual is set for a band according to the precedence of
the table below. For example, a source that is tested and meets the
conditions for category “X” is not tested for subsequent qualities.
- “X” - There is a detection at this location, but no valid brightness
estimate can be extracted using any algorithm. Default magnitude is
null.
- “U” - Upper limit on magnitude. Source is not detected in this band,
or it is detected, but not resolved in a consistent fashion with
other bands. A value of ph_qual=“U” does not necessarily mean that
there is no flux detected in this band at the location.
- “F” - This category includes sources where a reliable estimate of
the photometric error could not be determined. The uncertainties
reported for these sources in [jhk]_msigcom are flags and have
numeric values >8.0.
- “E” - This category includes detections where the goodness-of-fit
quality of the profile-fit photometry was very poor, or detections
where psf fit photometry did not converge and an aperture magnitude
is reported, or detections where the number of frames was too small
in relation to the number of frames in which a detection was
geometrically possible.
- “A” - Detections in any brightness regime where valid measurements
were made with [jhk]_snr>10 AND [jhk]_cmsig<0.10857.
- “B” - Detections in any brightness regime where valid measurements
were made with [jhk]_snr>7 AND [jhk]_cmsig<0.15510.
- “C” - Detections in any brightness regime where valid measurements
were made with [jhk]_snr>5 AND [jhk]_cmsig<0.21714.
- “D” - Detections in any brightness regime where valid measurements
were made with no [jhk]_snr or [jhk]_cmsig requirement.
meta.code.qual;phot
char
tmass_oid
Incremental unique numeric identifier (increasing with declination).
This is the only field which was not in the original 2MASS catalogue,
but was added for cross-match purposes.
meta.id;meta.main
long
indexed
primary
designation
Sexagesimal, equatorial position-based source name in the form:
hmmssss+ddmmsss[ABC...] The prefix “2MASS J” in not explicitely listed
in the designation.
meta.id.cross
char
indexed
primary
ra
J2000 right ascension with respect to the ICRS
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
J2000 declination with respect to the ICRS
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
err_maj
Semi-major axis length of the one sigma position uncertainty ellipse
arcsec
stat.error
float
err_min
Semi-minor axis length of the one sigma position uncertainty ellipse
arcsec
stat.error
float
err_ang
Position angle on the sky of the semi-major axis of the position
uncertainty ellipse (East of North)
deg
pos.posAng
int
j_m
Default J-band magnitude.
In case of a source not detected in the J-band, it is an upper limit and
the corresponding total photometric uncertainty is NULL.
In case of a source detected in the J-band and with no useful brightness
estimate, it is set to NULL.
mag
phot.mag;em.IR.J
float
indexed
primary
j_msigcom
Total photometric uncertainty for the default J-band magnitude. This
column is NULL if the default magnitude is a 95% confidence upper limit
(i.e. the source is not detected, or inconsistently deblended in the
J-band).
mag
stat.error;phot.mag;em.IR.J
float
h_m
Default H-band magnitude.
In case of a source not detected in the H-band, it is an upper limit and
the corresponding total photometric uncertainty is NULL.
In case of a source detected in the H-band and with no useful brightness
estimate, it is set to NULL.
mag
phot.mag;em.IR.H
float
indexed
primary
h_msigcom
Total photometric uncertainty for the default H-band magnitude. This
column is NULL if the default magnitude is a 95% confidence upper limit
(i.e. the source is not detected, or inconsistently deblended in the
H-band).
mag
stat.error;phot.mag;em.IR.H
float
ks_m
Default Ks-band magnitude.
In case of a source not detected in the Ks-band, it is an upper limit
and the corresponding total photometric uncertainty is NULL.
In case of a source detected in the Ks-band and with no useful
brightness estimate, it is set to NULL.
mag
phot.mag;em.IR.K
float
indexed
primary
ks_msigcom
Total photometric uncertainty for the default Ks-band magnitude. This
column is NULL if the default magnitude is a 95% confidence upper limit
(i.e. the source is not detected, or inconsistently deblended in the
Ks-band.
mag
stat.error;phot.mag;em.IR.K
float
ext_key
Unique identification number of the record in the XSC (2MASS Extended
Source Catalogue) that corresponds to this point source. Can be NULL if
no corresponding extended source is present in the XSC.
meta.id.cross
long
j_date
The Julian Date of the source measurement accurate to +30 seconds. This
value is extrapolated from the start time of the Survey scan using the
difference between the declinations of the source and the first row in
the Tile divided by the scanning rate of the telescope (approximately
5sec). The scanning rate of the two 2MASS telescopes was slightly
different because of the need to optimize the dithering of images on the
arrays.
d
time.epoch
double
gaiadr1.ucac4_original_valid
UCAC4 Catalogue
Reference paper:
Zacharias N., et al. 2013, AJ 145, 44
Original catalogue:
DVD sent by author.
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
objt
The object type flag is used to identify possible problems with a star
or the source of data.
The object type flag has the following meaning:
- 0 = good, clean star, no known problem
- 1 = largest flag of any image = near overexposed star
- 2 = largest flag of any image = possible streak object
- 3 = high proper motion (HPM) star, match with external PM file
- 4 = actually use external HPM data instead of UCAC4 observ.data
(accuracy of positions varies between catalogs)
- 5 = poor proper motion solution, report only CCD epoch position
- 6 = substitute poor astrometric results by FK6/Hip/Tycho-2 data
- 7 = added supplement star (no CCD data) from FK6/Hip/Tycho-2 data,
and 2 stars added from high proper motion surveys
- 8 = high proper motion solution in UCAC4, star not matched with
PPMXL
- 9 = high proper motion solution in UCAC4, discrepant PM to PPMXL
src.class
int
cdf
The cdf flag is a combined double star flag used to indicate the
type/quality of double star fit. It is a combination of 2 flags:
cdf = (10 \cdot dsf) + dst
where
dsf = double star flag = overall classification
- 0 = single star
- 1 = component #1 of “good” double star
- 2 = component #2 of “good” double star
- 3 = blended image
dst = double star type, from pixel data image profile fits, largest
value of all images used for this star
- 0 = no double star, not sufficient #pixels or elongation
- to even call double star fit subroutine
- 1 = elongated image but no more than 1 peak detected
- 2 = 2 separate peaks detected \to try double star fit
- 3 = secondary peak found on each side of primary
- 4 = case 1 after successful double fit (small separ. blended image)
- 5 = case 2 after successful double fit (most likely real double)
- 6 = case 3 after successful double fit (brighter secondary picked)
Caution: often a dsf= 1 or 2 image is paired with a dsf= 3. If for a
star any of the several images reveals a “blended image”, that higher
dsf=3 flag is carried into the output file. This can happen for a
regular double star with unique components 1 and 2. A flag dsf=3 means
this could be component 1 or 2 but at least on one CCD frame a blended
image was detected. This blend could be with the other component, or a
spurious image or artifact. The double star flags need to be interpreted
with caution; anything but a zero means “likely some double star
component or blended image”.
meta.code
int
ucac4_oid
Incremental unique numeric identifier (increasing with declination).
This field was not in the original UCAC4 catalogue, but was added for
cross-match purposes.
meta.id;meta.main
long
indexed
primary
ucac4_identifier
Official UCAC4 star ID, in the following format:
UCAC4-zzz-nnnnnn
where zzz is the 3-digit zone number (from 001 to 900, each 0.2 deg
wide) and nnnnnn the 6-digit running record number along the zone file.
meta.id.cross
char
indexed
primary
ra
Right ascension with respect to the ICRS at epoch J2000.0.
The weighted mean catalog position was updated using the provided proper
motions.
NB For objects with no proper motions, the positions are at the central
epoch (which actually is UCAC4 mean observation epoch). There are 4 982
212 stars with no proper motions.
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
Declination with respect to the ICRS, at epoch J2000.0.
The weighted mean catalog position was updated using the provided proper
motions.
NB For objects with no proper motions, the positions are at the central
epoch (which actually is UCAC4 mean observation epoch). There are 4 982
212 stars with no proper motions.
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_error_mean_epoch
There is not 0 mas value; data less than 1 mas have been set to 1 mas.
Original data larger than 255 mas have been set to 255.
In order to be able to calculate positional errors at any epoch, the
central epoch, i.e. the weighted mean epoch of the data (UCAC + early
epoch other catalogs) is given. At the central epoch (which varies from
star to star and is also different for RA and Dec) the positional error
has its smallest value; the one given in the catalog for “sigma
position”.
If the astrometric data for a star was substituted from an external
catalog like Hipparcos, Tycho or High proper motion data, a mean error
in position and proper motion depending on the catalog and magnitude of
the star was adopted.
For stars with no proper motions only the observed CCD position and its
error is reported.
mas
stat.error
double
dec_error_mean_epoch
There is not 0 mas value; data less than 1 mas have been set to 1 mas.
Original data larger than 255 mas have been set to 255.
In order to be able to calculate positional errors at any epoch, the
central epoch, i.e. the weighted mean epoch of the data (UCAC + early
epoch other catalogs) is given. At the central epoch (which varies from
star to star and is also different for RA and Dec) the positional error
has its smallest value; the one given in the catalog for “sigma
position”.
If the astrometric data for a star was substituted from an external
catalog like Hipparcos, Tycho or High proper motion data, a mean error
in position and proper motion depending on the catalog and magnitude of
the star was adopted.
For stars with no proper motions only the observed CCD position and its
error is reported.
mas
stat.error
double
pmra
Proper motion in RA*cos(Dec).
mas.yr**-1
pos.pm;pos.eq.ra
double
pmde
Proper motion in Declination.
mas.yr**-1
pos.pm;pos.eq.dec
double
pmra_error
For astrometric data copied from the FK6, Hipparcos and Tycho-2 catalogs
a mean error in positions was adopted depending on input catalog and the
brightness of the star rather than giving the individual star’s error
quoted in those catalogs.
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
double
pmde_error
For astrometric data copied from the FK6, Hipparcos and Tycho-2 catalogs
a mean error in positions was adopted depending on input catalog and the
brightness of the star rather than giving the individual star’s error
quoted in those catalogs.
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
double
mean_epoch_ra
Central Epoch for mean RA.
Probably epoch is a Julian epoch expressed as Julian Years with
reference J2000.0. For stars with proper motions, the central epoch,
i.e. the weighted mean epoch of the data (UCAC + early epoch other
catalogs) is given. At the central epoch (which varies from star to star
and is also different for RA and Dec) the positional error has its
smallest value; the one given in the catalog for “sigma position”.
For stars with no proper motions, the central Epoch is the UCAC4 mean
observation epoch.
yr
time.epoch;stat.mean
double
mean_epoch_dec
Central Epoch for mean DEC.
Probably epoch is a Julian epoch expressed as Julian Years with
reference J2000.0. For stars with proper motions, the central epoch,
i.e. the weighted mean epoch of the data (UCAC + early epoch other
catalogs) is given. At the central epoch (which varies from star to star
and is also different for RA and Dec) the positional error has its
smallest value; the one given in the catalog for “sigma position”.
For stars with no proper motions, the central Epoch is the UCAC4 mean
observation epoch.
yr
time.epoch;stat.mean
double
magm
Fit model magnitude.
Systematic errors are expected to be below 0.1 mag for magm,maga
photometric results obtained from the UCAC CCD pixel data. The aperture
photometry is considered more robust, particularly for “odd” cases,
while the model fit magnitude is expected to be more accurate for “well
behaved” stars.
mag
phot.mag;meta.modelled
double
indexed
primary
maga
Aperture magnitude.
Systematic errors are expected to be below 0.1 mag for magm,maga
photometric results obtained from the UCAC CCD pixel data. The aperture
photometry is considered more robust, particularly for “odd” cases,
while the model fit magnitude is expected to be more accurate for “well
behaved” stars.
mag
phot.mag
double
sigmag
For many stars a photometric error based on the scatter from individual
observations of that star on different CCD frames could be obtained. A
model error was also attempted to be assigned, based on the S/N ratio.
The error quoted here is the larger of the two.
If the error exceeds 0.9 mag, the error was set to 0.9 mag in catalog
data.
mag
stat.error;phot.mag
double
n_epochs
Number of catalogs (epoch) used for proper motions.
meta.number;time.epoch
short
gaiadr1.urat1_original_valid
URAT-1 Catalogue
Reference paper:
A URAT-1 release paper for the Astronomical Journal is in preparation.
The first U.S. Naval Observatory Astrometric Robotic Telescope Catalog
(URAT1) Zacharias N., Finch C., Subasavage J., Bredthauer G., Crockett
C., Divittorio M., Furguson E., Harris F., Harris H., Henden A., Kilian
C., Munn J., Rafferty T., Rhodes A., Schultheiss M., Tilleman T., Wieder
G. =2015yCat.1329....0Z
Original catalogue:
CDS
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
urat1_oid
Incremental unique numeric identifier (increasing with declination).
This is the only field which was not in the original URAT1 catalogue,
but was added for cross-match purposes.
meta.id;meta.main
long
indexed
primary
urat1_identifier
Official URAT1 star ID numbers consist of 2 parts, the 3-digit zone
number (zzz) and the 6-digit running record number (nnnnnn) along a
zone.
Thus a URAT1 star number is given by:
URAT1-zzznnnnnn
The main catalog data are arranged in declination zones of 0.2 degree
width. Zones are numbered from 1 starting at the South Pole and
increasing toward north. The first zone with data in URAT1 is 326 for
-25.0 to -24.8 deg Dec. There is a separate file for each zone up to
zone 900 near the north celestial pole.
meta.id.cross
char
indexed
primary
ra
Positions are on the International Celestial Reference System (ICRS) as
represented by the UCAC4 catalog.
Mean observed positions are given at mean epoch of URAT observations
(epoch). Thus the epoch is slightly different from star to star, but it
is always in the range between 2012.311 and 2014.679.
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
Positions are on the International Celestial Reference System (ICRS) as
represented by the UCAC4 catalog.
Mean observed positions are given at mean epoch of URAT observations
(epoch). Thus the epoch is slightly different from star to star, but it
is always in the range between 2012.311 and 2014.679.
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_error
raError = posError
posError gives an estimate of the error of the mean position components
(ra and dec).
A mean was taken over RA and DEC component errors because they are very
similar for most stars.
Here a model is used which include image profile fit (x,y data) errors,
atmospheric turbulence, and astrometric reduction error propagations. A
systematic error floor of 5 mas was added RMS. The model error is likely
a better estimate of the true positional errors than the scatter error,
at least for small numbers of observations.
arcsec
stat.error;pos.eq.ra;meta.modelled
double
dec_error
decError = posError
posError gives an estimate of the error of the mean position components
(ra and dec).
A mean was taken over RA and DEC component errors because they are very
similar for most stars.
Here a model is used which include image profile fit (x,y data) errors,
atmospheric turbulence, and astrometric reduction error propagations. A
systematic error floor of 5 mas was added RMS. The model error is likely
a better estimate of the true positional errors than the scatter error,
at least for small numbers of observations.
arcsec
stat.error;pos.eq.dec;meta.modelled
double
epoch
epoch = mean epoch of URAT observations.
yr
time.epoch
double
f_mag
This is the mean, observed magnitude in the 680-762 nm URAT bandpass,
calibrated by APASS photometry. This bandpass is between R and I, thus
further into the red than UCAC. Observations in non-photometric nights
*are* included thus the URAT magnitudes need to be taken with caution.
Unknown or unrealistic magnitudes are set to NULL. The faintest maybe
real celestial object magnitude is about 19.0, while the URAT1 catalog
should be complete to about magnitude 18.0.
mag
phot.mag;stat.mean;em.opt
double
indexed
primary
f_mag_error
The photometric error of URAT bandpass observations is derived from the
scatter of individual observations. A systematic error floor of 0.01 mag
has been RMS added. Unknown errors are indicated by NULL.
mag
stat.error;phot.mag;em.opt
double
b_mag
APASS B magnitude.
A custom set of APASS (The AAVSO Photometric All-Sky Survey) data was
kindly provided to us by Arne Henden to include the DR8 data plus single
photometric observations.
For a total of 71614 stars with no DR8 data the DR6 data was used.
mag
phot.mag;em.opt.B
double
indexed
primary
v_mag
APASS V magnitude.
A custom set of APASS (The AAVSO Photometric All-Sky Survey) data was
kindly provided to us by Arne Henden to include the DR8 data plus single
photometric observations.
For a total of 71614 stars with no DR8 data the DR6 data was used.
mag
phot.mag;em.opt.V
double
indexed
primary
g_mag
APASS g magnitude.
A custom set of APASS (The AAVSO Photometric All-Sky Survey) data was
kindly provided to us by Arne Henden to include the DR8 data plus single
photometric observations.
For a total of 71614 stars with no DR8 data the DR6 data was used.
mag
phot.mag;em.opt
double
indexed
primary
r_mag
APASS r magnitude.
A custom set of APASS (The AAVSO Photometric All-Sky Survey) data was
kindly provided to us by Arne Henden to include the DR8 data plus single
photometric observations.
For a total of 71614 stars with no DR8 data the DR6 data was used.
mag
phot.mag;em.opt.R
double
indexed
primary
i_mag
APASS i magnitude.
A custom set of APASS (The AAVSO Photometric All-Sky Survey) data was
kindly provided to us by Arne Henden to include the DR8 data plus single
photometric observations.
For a total of 71614 stars with no DR8 data the DR6 data was used.
mag
phot.mag;em.opt.I
double
indexed
primary
b_mag_error
Error on APASS B magnitude.
mag
stat.error;phot.mag;em.opt.B
double
v_mag_error
Error on APASS V magnitude.
mag
stat.error;phot.mag;em.opt.V
double
g_mag_error
Error on APASS g magnitude.
mag
stat.error;phot.mag;em.opt
double
r_mag_error
Error on APASS r magnitude.
mag
stat.error;phot.mag;em.opt.R
double
i_mag_error
Error on APASS i magnitude.
mag
stat.error;phot.mag;em.opt.I
double
gaiadr1.gaia_source
This table has an entry for every Gaia observed source as listed in the
Main Database accumulating catalogue version from which the catalogue
release has been generated. It contains the basic source parameters,
that is only final data (no epoch data) and no spectra (neither final
nor epoch).
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
source_id
A unique single numerical identifier of the source.
For the contents of Gaia DR1, which does not include Solar System
objects, the source ID consists consists of a 64-bit integer, least
significant bit = 1 and most significant bit = 64, comprising:
- a HEALPix index number (sky pixel) in bits 36 - 63; by definition
the smallest HEALPix index number is zero.
- a 2-bit Data Processing Centre code in bits 34 - 35; for example
MOD(sourceId / 4294967296, 8) can be used to distinguish between
sources initialised via the Initial Gaia Source List by the Torino
DPC (code = 0) and sources otherwise detected and assigned by Gaia
observations (code >0)
- a 25-bit plus 7 bit sequence number within the HEALPix pixel in bits
1 - 32 split into:
- a 25 bit running number in bits 8 – 32; the running numbers are
defined to be positive, i.e. never zero (except in the case of
forced empty windows)
- a 7-bit component number in bits 1 – 7
- one spare bit in bit 33
This means that the HEALpix index level 12 of a given source is
contained in the most significant bits. HEALpix index of 12 and lower
levels can thus be retrieved as follows:
- HEALpix level 12 = source_id / 34359738368
- HEALpix level 11 = source_id / 137438953472
- HEALpix level 10 = source_id / 549755813888
- HEALpix level n = source_id / 2 ^ 35 * 4 ^ (12 - level).
Additional details can be found in the Gaia DPAC public document Source
Identifiers — Assignment and Usage throughout DPAC (document code
GAIA–C3–TN–ARI–BAS–020) available from
meta.id;meta.main
long
indexed
primary
random_index
Random index which can be used to select smaller subsets of the data
that are still representative. The column contains a random permutation
of the numbers from 0 to N-1, where N is the number of rows.
The random index can be useful for validation (testing on 10 different
random subsets), visualization (displaying 1% of the data), and
statistical exploration of the data, without the need to download all
the data.
meta.code
long
indexed
ref_epoch
Reference epoch to which the astrometic source parameters are referred,
expressed as a Julian Year in TCB.
yr
meta.ref;time.epoch
double
indexed
ra
Barycentric right ascension \alpha of the source in ICRS at the
reference epoch refEpoch
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
ra_error
Standard error \sigma_{\alpha *} \equiv \sigma_\alpha\cos\delta of the
right ascension of the source in ICRS at the reference epoch refEpoch.
mas
stat.error;pos.eq.ra
double
indexed
primary
dec
Barycentric declination \delta of the source in ICRS at the reference
epoch refEpoch
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
dec_error
Standard error \sigma_\delta of the declination of the source in ICRS at
the reference epoch refEpoch
mas
stat.error;pos.eq.dec
double
indexed
primary
parallax
Absolute barycentric stellar parallax \varpi of the soure at the
reference epoch refEpoch
mas
pos.parallax
double
indexed
primary
parallax_error
Standard error \sigma_\varpi of the stellar parallax at the reference
epoch refEpoch
mas
stat.error;pos.parallax
double
indexed
primary
pmra
Proper motion in right ascension \mu_{\alpha *} of the source in ICRS at
the reference epoch refEpoch. This is the projection of the proper
motion vector in the direction of increasing right ascension.
mas.yr**-1
pos.pm;pos.eq.ra
double
indexed
pmra_error
Standard error \sigma_{\mu\alpha *} of the proper motion vector in right
ascension at the reference epoch refEpoch
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
double
pmdec
Proper motion in declination \mu_\delta of the source at the reference
epoch refEpoch. This is the projection of the proper motion vector in
the direction of increasing declination.
mas.yr**-1
pos.pm;pos.eq.dec
double
indexed
pmdec_error
Standard error \sigma_{\mu\delta} of the proper motion in declination at
the reference epoch refEpoch
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
double
indexed
ra_dec_corr
Correlation between right ascension and declination, in dimensionless
units [-1:+1]
stat.correlation
float
ra_parallax_corr
Correlation between right ascension and parallax, in dimensionless units
[-1:+1]
stat.correlation
float
ra_pmra_corr
Correlation between right ascension and proper motion in right
ascension, in dimensionless units [-1:+1]
stat.correlation
float
ra_pmdec_corr
Correlation between right ascension and proper motion in declination, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
dec_parallax_corr
Correlation between declination and parallax, in dimensionless units
[-1:+1]
stat.correlation
float
dec_pmra_corr
Correlation between declination and proper motion in right ascension, in
dimensionless units [-1:+1]
stat.correlation
float
dec_pmdec_corr
Correlation between declination and proper motion in declination, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
parallax_pmra_corr
Correlation between parallax and proper motion in right ascension, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
parallax_pmdec_corr
Correlation between parallax and proper motion in declination, in
dimensionless units [-1:+1]
stat.correlation
float
pmra_pmdec_corr
Correlation between proper motion in right ascension and proper motion
in declination, in dimensionless units [-1:+1]
stat.correlation
float
indexed
astrometric_n_obs_al
Total number of AL observations (= CCD transits) used in the astrometric
solution of the source, independent of their weight. Note that some
observations may be strongly downweighted (see astrometricNBadObsAl).
meta.number
int
indexed
astrometric_n_obs_ac
Total number of AC observations (= CCD transits) used in the astrometric
solution of the source, independent of their weight. Note that some
observations may be strongly downweighted (see astrometricNBadObsAc).
Nearly all sources having G <13 will have AC observations from 2d
windows, while fainter than that limit only \sim1% of stars (the
so–called ‘calibration faint stars’) are assigned 2d windows resulting
in AC observations.
meta.number
int
indexed
astrometric_n_good_obs_al
Number of AL observations (= CCD transits) that were not strongly
downweighted in the astrometric solution of the source. Strongly
downweighted observations (with downweighting factor w<0.2) are instead
counted in astrometricNBadObsAl. The sum of astrometricNGoodObsAl and
astrometricNBadObsAl equals astrometricNObsAl, the total number of AL
observations used in the astrometric solution of the source.
meta.number
int
indexed
astrometric_n_good_obs_ac
Number of AC observations (= CCD transits) that were not strongly
downweighted in the astrometric solution of the source. Strongly
downweighted observations (with downweighting factor w<0.2) are instead
counted in astrometricNBadObsAc. The sum of astrometricNGoodObsAc and
astrometricNBadObsAc equals astrometricNObsAc, the total number of AC
observations used in the astrometric solution of the source.
meta.number
int
indexed
astrometric_n_bad_obs_al
Number of AL observations (= CCD transits) that were strongly
downweighted in the astrometric solution of the source, and therefore
contributed little to the determination of the astrometric parameters.
An observation is considered to be strongly downweighted if its
downweighting factor w<0.2, which means that the absolute value of the
astrometric residual exceeds 4.83 times the total uncertainty of the
observation, calculated as the quadratic sum of the centroiding
uncertainty, excess source noise, and excess attitude noise.
meta.number
int
indexed
astrometric_n_bad_obs_ac
Number of AC observations (= CCD transits) that were strongly
downweighted in the astrometric solution of the source, and therefore
contributed little to the determination of the astrometric parameters.
An observation is considered to be strongly downweighted if its
downweighting factor w<0.2, which means that the absolute value of the
astrometric residual exceeds 4.83 times the total uncertainty of the
observation, calculated as the quadratic sum of the centroiding
uncertainty, excess source noise, and excess attitude noise.
meta.number
int
indexed
astrometric_delta_q
In the TGAS solution \tt astrometricDeltaQ (\Delta Q) indicates the
discrepancy between the Hipparcos proper motion and the TGAS proper
motion. A large value of \tt deltaQ could indicate non-linear motion
(e.g. in a binary).
The precise definition is
\Delta Q =
\begin{bmatrix}
\Delta\mu_{\alpha *} & \Delta\mu_{\delta}
\end{bmatrix}
\left(\vec{C}_\text{pm,\,T}+\vec{C}_\text{pm,\,H}\right)^{-1}
\begin{bmatrix}
\Delta\mu_{\alpha *} \\ \Delta\mu_{\delta}
\end{bmatrix}
where \Delta\mu_{\alpha *} = \mu_{\alpha *,\rm T}-\mu_{\alpha *,\rm H},
\Delta\mu_{\delta} = \mu_{\delta,\rm T}-\mu_{\delta,\rm H}, with T and H
indicating values from the Gaia DR1 (TGAS) solution and Hipparcos
catalogue. \vec{C}_\text{pm,\,T} and \vec{C}_\text{pm,\,H} are the
corresponding 2\times 2 covariance matrices.
In order to compute \Delta Q the two sets of proper motions must use the
same reference frame and the same reference epoch. Thus, the proper
motion components as given in the Hipparcos catalogue were rotated to
the Gaia DR1 reference frame, and then propagated to the Gaia reference
epoch.
stat.value
float
astrometric_excess_noise
This is the excess noise \epsilon_i of the source. It measures the
disagreement, expressed as an angle, between the observations of a
source and the best-fitting standard astrometric model (using five
astrometric parameters). The assumed observational noise in each
observation is quadratically increased by \epsilon_i in order to
statistically match the residuals in the astrometric solution. A value
of 0 signifies that the source is astrometrically well-behaved, i.e.
that the residuals of the fit statistically agree with the assumed
observational noise. A positive value signifies that the residuals are
statistically larger than expected.
The significance of \epsilon_i is given by \tt
astrometricExcessNoiseSig (D). If D\le 2 then \epsilon_i is probably not
significant, and the source may be astrometrically well-behaved even if
\epsilon_i is large.
The excess noise \epsilon_i may absorb all kinds of modelling errors
that are not accounted for by the observational noise (image centroiding
error) or the excess attitude noise. Such modelling errors include LSF
and PSF calibration errors, geometric instrument calibration errors, and
part of the high-frequency attitude noise. These modelling errors are
particularly important in the early data releases, but should decrease
as the astrometric modelling of the instrument and attitude improves
over the years.
Additionally, sources that deviate from the standard five-parameter
astrometric model (e.g. unresolved binaries, exoplanet systems, etc.)
may have positive \epsilon_i. Given the many other possible
contributions to the excess noise, the user must study the empirical
distributions of \epsilon_i and D to make sensible cutoffs before
filtering out sources for their particular application.
In Gaia DR1, the excess source noise has the same interpretation as
described above for both the primary (TGAS) and secondary data sets. It
measures the disagreement between the five-parameter model and the
observations, augmented by the different priors used. Thus, in TGAS the
excess noise may be increased if the proper motion seen during the 14
months of Gaia observations are not in agreement with the proper motion
inferred from the Tycho-2/Gaia comparison. In the secondary solution the
excess noise may be increased if the Gaia observations indicate a proper
motion or parallax several times larger than the prior uncertainty.
The excess source noise is further explained in Sects. 3.6 and 5.1.2 of
Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
mas
stat.value
double
indexed
astrometric_excess_noise_sig
A dimensionless measure (D) of the significance of the calculated \tt
astrometricExcessNoise (\epsilon_i). A value D>2 indicates that the
given \epsilon_i is probably significant.
For good fits in the limit of a large number of observations, D should
be zero in half of the cases and approximately follow the positive half
of a normal distribution with zero mean and unit standard deviation for
the other half. Consequently, D is expected to be greater than 2 for
only a few percent of the sources with well-behaved astrometric
solutions.
In the early data releases \epsilon_i will however include instrument
and attitude modelling errors that are statistically significant and
could result in large values of \epsilon_i and D. The user must study
the empirical distributions of these statistics and make sensible
cutoffs before filtering out sources for their particular application.
The excess noise significance is further explained in Sect. 5.1.2 of
Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
stat.value
double
astrometric_primary_flag
Flag indicating if this source was used as a primary source (\tt true)
or secondary source (\tt false). Only primary sources contribute to the
estimation of attitude, calibration, and global parameters. The
estimation of source parameters is otherwise done in exactly the same
way for primary and secondary sources.
meta.code
boolean
astrometric_relegation_factor
Relegation factor of the source calculated as per Eq. (118) in Lindegren
et al. (2012) used for the primary selection process.
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
arith.factor
float
astrometric_weight_al
Mean astrometric weight of the source in the AL direction.
The mean astrometric weight of the source is calculated as per Eq. (119)
in Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
mas**-2
stat.weight;stat.mean
float
astrometric_weight_ac
Mean astrometric weight of the source in the AC direction
The mean astrometric weight of the source is calculated as per Eq. (119)
in Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
mas**-2
stat.weight;stat.mean
float
indexed
astrometric_priors_used
Type of prior used in the astrometric solution:
- 0: No prior used
- 1: Galaxy Bayesian Prior for parallax and proper motion
- 2: Galaxy Bayesian Prior for parallax and proper motion relaxed by
factor 10
- 3: Hipparcos prior for position
- 4: Hipparcos prior for position and proper motion
- 5: Tycho2 prior for position
- 6: Quasar prior for proper motion
The Galaxy Bayesian Prior is defined in , where it is denoted
\sigma_{\varpi,F90} (for the parallax) and
\sigma_{\mu,F90}={\cal R}\sigma_{\varpi,F90}, with {\cal
R}=10 yr^{-1} (for proper motion). The Galaxy Bayesian Prior relaxed by
a factor 10 is 10\sigma_{\varpi,F90} and 10\sigma_{\mu,F90},
respectively.
For Gaia DR1 the only types of priors used are 2 (for the secondary data
set), 3 (for the Hipparcos subset of the primary data set), or 5 (for
the non-Hipparcos subset of the primary data set). Type 6 was used for
internal calibration purposes and alignment of the reference frame, but
the corresponding astrometric results are in general not published.
meta.code
int
indexed
matched_observations
This field indicates the number of observations (detection transits)
that have been matched to a given source during the last internal
crossmatch revision.
meta.number
short
indexed
duplicated_source
During data processing, this source happened to been duplicated and one
source only has been kept. This may indicate observational,
cross-matching or processing problems, or stellar multiplicity, and
probable astrometric or photometric problems in all cases. In DR1, for
close doubles with separations below some 2 arcsec, truncated windows
have not been processed, neither in astrometry and photometry. The
transmitted window is centred on the brighter part of the acquired
window, so the brighter component has a better chance to be selected,
even when processing the fainter transit. If more than two images are
contained in a window, the result of the image parameter determination
is un-predictable in the sense that it might refer to either (or
neither) image, and no consistency is assured.
meta.code.status
boolean
indexed
scan_direction_strength_k1
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
scan_direction_strength_k2
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
indexed
scan_direction_strength_k3
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
scan_direction_strength_k4
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
indexed
scan_direction_mean_k1
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
scan_direction_mean_k2
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
indexed
scan_direction_mean_k3
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
scan_direction_mean_k4
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
indexed
phot_g_n_obs
Number of observations (CCD transits) that contributed to the G mean
flux and mean flux error.
meta.number
int
indexed
phot_g_mean_flux
Mean flux in the G-band.
'electron'.s**-1
phot.flux;stat.mean;em.opt
double
indexed
phot_g_mean_flux_error
Error on the mean flux in the G-band.
'electron'.s**-1
stat.error;phot.flux;stat.mean;em.opt
double
phot_g_mean_mag
Mean magnitude in the G band. This is computed from the G-band mean flux
applying the magnitude zero-point in the Vega scale.
mag
phot.mag;stat.mean;em.opt
double
indexed
primary
phot_variable_flag
Flag indicating if variability was identified in the photometric G band:
- source not processed and/or exported to catalogue
- Source not identified as variable
- source identified and processed as variable, see tables
PhotVariableSummary, PhotVariableTimeSeriesGfov,
PhotVariableTimeSeriesGfovStatisticalParameters, and Cepheid or
Rrlyrae for more details.
Note that for this data release only a small subset of (variable)
sources was processed and/or exported, so for many (known) variable
sources this flag is set to “NOT AVAILABLE”. No “CONSTANT” sources were
exported either.
meta.code;src.var
char
indexed
primary
l
Galactic Longitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.galactic.lon
double
indexed
b
Galactic Latitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.galactic.lat
double
indexed
ecl_lon
Ecliptic Longitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.ecliptic.lon
double
indexed
ecl_lat
Ecliptic Latitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.ecliptic.lat
double
indexed
gaiadr1.tgas_source
This table is a subset of GaiaSource comprising those stars in the
Hipparcos and Tycho-2 Catalogues for which a full 5-parameter
astrometric solution has been possible in Gaia Data Release 1. This is
possible because the early Hipparcos epoch positions break some
degeneracies due to the limited Gaia time coverage.
This table contains a substantial fraction of the around 2.5 million
stars in the Hipparcos and Tycho-2 catalogue. Many stars have been
excluded due to several reasons, such as saturation, cross-match errors
or bad astrometric solution.
hip
Hipparcos identifier (this field will be empty if the source was not in
the Hipparcos catalogue).
meta.id.cross
int
indexed
tycho2_id
Tycho 2 identifier. The TYC identifier is constructed from the GSC
region number (TYC1), the running number within the region (TYC2) and a
component identifier (TYC3) which is normally 1. Some non-GSC running
numbers were constructed for the first Tycho Catalogue and for Tycho-2.
The recommended star designation contains a hyphen between the TYC
numbers, e.g. TYC 1-13-1.To see if Hipparcos or Tycho measurements where
used as a prior constraint in the astrometic solution for a given source
please see astrometricPriorsUsed.
meta.id.cross
char
indexed
solution_id
All Gaia data processed by the Data Processing and Analysis Consortium
comes tagged with a solution identifier. This is a numeric field
attached to each table row that can be used to unequivocally identify
the version of all the subsystems that where used in the generation of
the data as well as the input data used. It is mainly for internal DPAC
use but is included in the published data releases to enable end users
to examine the provenance of processed data products. To decode a given
solution ID visit
meta.version
long
indexed
source_id
A unique single numerical identifier of the source.
For the contents of Gaia DR1, which does not include Solar System
objects, the source ID consists consists of a 64-bit integer, least
significant bit = 1 and most significant bit = 64, comprising:
- a HEALPix index number (sky pixel) in bits 36 - 63; by definition
the smallest HEALPix index number is zero.
- a 2-bit Data Processing Centre code in bits 34 - 35; for example
MOD(sourceId / 4294967296, 8) can be used to distinguish between
sources initialised via the Initial Gaia Source List by the Torino
DPC (code = 0) and sources otherwise detected and assigned by Gaia
observations (code >0)
- a 25-bit plus 7 bit sequence number within the HEALPix pixel in bits
1 - 32 split into:
- a 25 bit running number in bits 8 – 32; the running numbers are
defined to be positive, i.e. never zero (except in the case of
forced empty windows)
- a 7-bit component number in bits 1 – 7
- one spare bit in bit 33
This means that the HEALpix index level 12 of a given source is
contained in the most significant bits. HEALpix index of 12 and lower
levels can thus be retrieved as follows:
- HEALpix level 12 = source_id / 34359738368
- HEALpix level 11 = source_id / 137438953472
- HEALpix level 10 = source_id / 549755813888
- HEALpix level n = source_id / 2 ^ 35 * 4 ^ (12 - level).
Additional details can be found in the Gaia DPAC public document Source
Identifiers — Assignment and Usage throughout DPAC (document code
GAIA–C3–TN–ARI–BAS–020) available from
meta.id;meta.main
long
indexed
primary
random_index
Random index which can be used to select smaller subsets of the data
that are still representative. The column contains a random permutation
of the numbers from 0 to N-1, where N is the number of rows.
The random index can be useful for validation (testing on 10 different
random subsets), visualization (displaying 1% of the data), and
statistical exploration of the data, without the need to download all
the data.
meta.code
long
indexed
ref_epoch
Reference epoch to which the astrometic source parameters are referred,
expressed as a Julian Year in TCB.
yr
meta.ref;time.epoch
double
indexed
ra
Barycentric right ascension \alpha of the source in ICRS at the
reference epoch refEpoch
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
ra_error
Standard error \sigma_{\alpha *} \equiv \sigma_\alpha\cos\delta of the
right ascension of the source in ICRS at the reference epoch refEpoch.
mas
stat.error;pos.eq.ra
double
indexed
primary
dec
Barycentric declination \delta of the source in ICRS at the reference
epoch refEpoch
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
dec_error
Standard error \sigma_\delta of the declination of the source in ICRS at
the reference epoch refEpoch
mas
stat.error;pos.eq.dec
double
indexed
primary
parallax
Absolute barycentric stellar parallax \varpi of the soure at the
reference epoch refEpoch
mas
pos.parallax
double
indexed
primary
parallax_error
Standard error \sigma_\varpi of the stellar parallax at the reference
epoch refEpoch
mas
stat.error;pos.parallax
double
indexed
primary
pmra
Proper motion in right ascension \mu_{\alpha *} of the source in ICRS at
the reference epoch refEpoch. This is the projection of the proper
motion vector in the direction of increasing right ascension.
mas.yr**-1
pos.pm;pos.eq.ra
double
indexed
pmra_error
Standard error \sigma_{\mu\alpha *} of the proper motion vector in right
ascension at the reference epoch refEpoch
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
double
indexed
pmdec
Proper motion in declination \mu_\delta of the source at the reference
epoch refEpoch. This is the projection of the proper motion vector in
the direction of increasing declination.
mas.yr**-1
pos.pm;pos.eq.dec
double
indexed
pmdec_error
Standard error \sigma_{\mu\delta} of the proper motion in declination at
the reference epoch refEpoch
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
double
indexed
ra_dec_corr
Correlation between right ascension and declination, in dimensionless
units [-1:+1]
stat.correlation
float
indexed
ra_parallax_corr
Correlation between right ascension and parallax, in dimensionless units
[-1:+1]
stat.correlation
float
indexed
ra_pmra_corr
Correlation between right ascension and proper motion in right
ascension, in dimensionless units [-1:+1]
stat.correlation
float
indexed
ra_pmdec_corr
Correlation between right ascension and proper motion in declination, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
dec_parallax_corr
Correlation between declination and parallax, in dimensionless units
[-1:+1]
stat.correlation
float
indexed
dec_pmra_corr
Correlation between declination and proper motion in right ascension, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
dec_pmdec_corr
Correlation between declination and proper motion in declination, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
parallax_pmra_corr
Correlation between parallax and proper motion in right ascension, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
parallax_pmdec_corr
Correlation between parallax and proper motion in declination, in
dimensionless units [-1:+1]
stat.correlation
float
indexed
pmra_pmdec_corr
Correlation between proper motion in right ascension and proper motion
in declination, in dimensionless units [-1:+1]
stat.correlation
float
indexed
astrometric_n_obs_al
Total number of AL observations (= CCD transits) used in the astrometric
solution of the source, independent of their weight. Note that some
observations may be strongly downweighted (see astrometricNBadObsAl).
meta.number
int
indexed
astrometric_n_obs_ac
Total number of AC observations (= CCD transits) used in the astrometric
solution of the source, independent of their weight. Note that some
observations may be strongly downweighted (see astrometricNBadObsAc).
Nearly all sources having G <13 will have AC observations from 2d
windows, while fainter than that limit only \sim1% of stars (the
so–called ‘calibration faint stars’) are assigned 2d windows resulting
in AC observations.
meta.number
int
indexed
astrometric_n_good_obs_al
Number of AL observations (= CCD transits) that were not strongly
downweighted in the astrometric solution of the source. Strongly
downweighted observations (with downweighting factor w<0.2) are instead
counted in astrometricNBadObsAl. The sum of astrometricNGoodObsAl and
astrometricNBadObsAl equals astrometricNObsAl, the total number of AL
observations used in the astrometric solution of the source.
meta.number
int
indexed
astrometric_n_good_obs_ac
Number of AC observations (= CCD transits) that were not strongly
downweighted in the astrometric solution of the source. Strongly
downweighted observations (with downweighting factor w<0.2) are instead
counted in astrometricNBadObsAc. The sum of astrometricNGoodObsAc and
astrometricNBadObsAc equals astrometricNObsAc, the total number of AC
observations used in the astrometric solution of the source.
meta.number
int
indexed
astrometric_n_bad_obs_al
Number of AL observations (= CCD transits) that were strongly
downweighted in the astrometric solution of the source, and therefore
contributed little to the determination of the astrometric parameters.
An observation is considered to be strongly downweighted if its
downweighting factor w<0.2, which means that the absolute value of the
astrometric residual exceeds 4.83 times the total uncertainty of the
observation, calculated as the quadratic sum of the centroiding
uncertainty, excess source noise, and excess attitude noise.
meta.number
int
indexed
astrometric_n_bad_obs_ac
Number of AC observations (= CCD transits) that were strongly
downweighted in the astrometric solution of the source, and therefore
contributed little to the determination of the astrometric parameters.
An observation is considered to be strongly downweighted if its
downweighting factor w<0.2, which means that the absolute value of the
astrometric residual exceeds 4.83 times the total uncertainty of the
observation, calculated as the quadratic sum of the centroiding
uncertainty, excess source noise, and excess attitude noise.
meta.number
int
indexed
astrometric_delta_q
In the TGAS solution \tt astrometricDeltaQ (\Delta Q) indicates the
discrepancy between the Hipparcos proper motion and the TGAS proper
motion. A large value of \tt deltaQ could indicate non-linear motion
(e.g. in a binary).
The precise definition is
\Delta Q =
\begin{bmatrix}
\Delta\mu_{\alpha *} & \Delta\mu_{\delta}
\end{bmatrix}
\left(\vec{C}_\text{pm,\,T}+\vec{C}_\text{pm,\,H}\right)^{-1}
\begin{bmatrix}
\Delta\mu_{\alpha *} \\ \Delta\mu_{\delta}
\end{bmatrix}
where \Delta\mu_{\alpha *} = \mu_{\alpha *,\rm T}-\mu_{\alpha *,\rm H},
\Delta\mu_{\delta} = \mu_{\delta,\rm T}-\mu_{\delta,\rm H}, with T and H
indicating values from the Gaia DR1 (TGAS) solution and Hipparcos
catalogue. \vec{C}_\text{pm,\,T} and \vec{C}_\text{pm,\,H} are the
corresponding 2\times 2 covariance matrices.
In order to compute \Delta Q the two sets of proper motions must use the
same reference frame and the same reference epoch. Thus, the proper
motion components as given in the Hipparcos catalogue were rotated to
the Gaia DR1 reference frame, and then propagated to the Gaia reference
epoch.
stat.value
float
indexed
astrometric_excess_noise
This is the excess noise \epsilon_i of the source. It measures the
disagreement, expressed as an angle, between the observations of a
source and the best-fitting standard astrometric model (using five
astrometric parameters). The assumed observational noise in each
observation is quadratically increased by \epsilon_i in order to
statistically match the residuals in the astrometric solution. A value
of 0 signifies that the source is astrometrically well-behaved, i.e.
that the residuals of the fit statistically agree with the assumed
observational noise. A positive value signifies that the residuals are
statistically larger than expected.
The significance of \epsilon_i is given by \tt
astrometricExcessNoiseSig (D). If D\le 2 then \epsilon_i is probably not
significant, and the source may be astrometrically well-behaved even if
\epsilon_i is large.
The excess noise \epsilon_i may absorb all kinds of modelling errors
that are not accounted for by the observational noise (image centroiding
error) or the excess attitude noise. Such modelling errors include LSF
and PSF calibration errors, geometric instrument calibration errors, and
part of the high-frequency attitude noise. These modelling errors are
particularly important in the early data releases, but should decrease
as the astrometric modelling of the instrument and attitude improves
over the years.
Additionally, sources that deviate from the standard five-parameter
astrometric model (e.g. unresolved binaries, exoplanet systems, etc.)
may have positive \epsilon_i. Given the many other possible
contributions to the excess noise, the user must study the empirical
distributions of \epsilon_i and D to make sensible cutoffs before
filtering out sources for their particular application.
In Gaia DR1, the excess source noise has the same interpretation as
described above for both the primary (TGAS) and secondary data sets. It
measures the disagreement between the five-parameter model and the
observations, augmented by the different priors used. Thus, in TGAS the
excess noise may be increased if the proper motion seen during the 14
months of Gaia observations are not in agreement with the proper motion
inferred from the Tycho-2/Gaia comparison. In the secondary solution the
excess noise may be increased if the Gaia observations indicate a proper
motion or parallax several times larger than the prior uncertainty.
The excess source noise is further explained in Sects. 3.6 and 5.1.2 of
Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
mas
stat.value
double
indexed
astrometric_excess_noise_sig
A dimensionless measure (D) of the significance of the calculated \tt
astrometricExcessNoise (\epsilon_i). A value D>2 indicates that the
given \epsilon_i is probably significant.
For good fits in the limit of a large number of observations, D should
be zero in half of the cases and approximately follow the positive half
of a normal distribution with zero mean and unit standard deviation for
the other half. Consequently, D is expected to be greater than 2 for
only a few percent of the sources with well-behaved astrometric
solutions.
In the early data releases \epsilon_i will however include instrument
and attitude modelling errors that are statistically significant and
could result in large values of \epsilon_i and D. The user must study
the empirical distributions of these statistics and make sensible
cutoffs before filtering out sources for their particular application.
The excess noise significance is further explained in Sect. 5.1.2 of
Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
stat.value
double
indexed
astrometric_primary_flag
Flag indicating if this source was used as a primary source (\tt true)
or secondary source (\tt false). Only primary sources contribute to the
estimation of attitude, calibration, and global parameters. The
estimation of source parameters is otherwise done in exactly the same
way for primary and secondary sources.
meta.code
boolean
indexed
astrometric_relegation_factor
Relegation factor of the source calculated as per Eq. (118) in Lindegren
et al. (2012) used for the primary selection process.
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
arith.factor
float
indexed
astrometric_weight_al
Mean astrometric weight of the source in the AL direction.
The mean astrometric weight of the source is calculated as per Eq. (119)
in Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
mas**-2
stat.weight;stat.mean
float
indexed
astrometric_weight_ac
Mean astrometric weight of the source in the AC direction
The mean astrometric weight of the source is calculated as per Eq. (119)
in Lindegren et al. (2012).
Lindegren, L., U. Lammers, D. Hobbs, O’MullaneW., U. Bastian, and J.
Hernandez. 2012. “The Astrometric Core Solution for the Gaia Mission.
Overview of Models, Algorithms, and Software Implementation.” Astronomy
and Astrophysics 538 (February).
mas**-2
stat.weight;stat.mean
float
indexed
astrometric_priors_used
Type of prior used in the astrometric solution:
- 0: No prior used
- 1: Galaxy Bayesian Prior for parallax and proper motion
- 2: Galaxy Bayesian Prior for parallax and proper motion relaxed by
factor 10
- 3: Hipparcos prior for position
- 4: Hipparcos prior for position and proper motion
- 5: Tycho2 prior for position
- 6: Quasar prior for proper motion
The Galaxy Bayesian Prior is defined in , where it is denoted
\sigma_{\varpi,F90} (for the parallax) and
\sigma_{\mu,F90}={\cal R}\sigma_{\varpi,F90}, with {\cal
R}=10 yr^{-1} (for proper motion). The Galaxy Bayesian Prior relaxed by
a factor 10 is 10\sigma_{\varpi,F90} and 10\sigma_{\mu,F90},
respectively.
For Gaia DR1 the only types of priors used are 2 (for the secondary data
set), 3 (for the Hipparcos subset of the primary data set), or 5 (for
the non-Hipparcos subset of the primary data set). Type 6 was used for
internal calibration purposes and alignment of the reference frame, but
the corresponding astrometric results are in general not published.
meta.code
int
indexed
matched_observations
This field indicates the number of observations (detection transits)
that have been matched to a given source during the last internal
crossmatch revision.
meta.number
short
indexed
duplicated_source
During data processing, this source happened to been duplicated and one
source only has been kept. This may indicate observational,
cross-matching or processing problems, or stellar multiplicity, and
probable astrometric or photometric problems in all cases. In DR1, for
close doubles with separations below some 2 arcsec, truncated windows
have not been processed, neither in astrometry and photometry. The
transmitted window is centred on the brighter part of the acquired
window, so the brighter component has a better chance to be selected,
even when processing the fainter transit. If more than two images are
contained in a window, the result of the image parameter determination
is un-predictable in the sense that it might refer to either (or
neither) image, and no consistency is assured.
meta.code.status
boolean
indexed
scan_direction_strength_k1
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
indexed
scan_direction_strength_k2
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
indexed
scan_direction_strength_k3
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
indexed
scan_direction_strength_k4
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionStrength[k-1] (k=1,2,3,4) is the absolute value of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
The scanDirectionStrength is a number between 0 and 1, where 0 means
that the scan directions are well spread out in different directions,
while 1 means that they are concentrated in a single direction (given by
scanAngleMean).
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionStrength[0] is the degree of
concentration when the sense of direction is taken into account, while
scanDirectionStrength[1] is the degree of concentration without regard
to the sense of direction. A large value of scanDirectionStrength[3]
indicates that the scans are concentrated in two nearly orthogonal
directions.
stat.value
float
indexed
scan_direction_mean_k1
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
indexed
scan_direction_mean_k2
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
indexed
scan_direction_mean_k3
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
indexed
scan_direction_mean_k4
The scanDirectionStrength and scanDirectionMean quantify the
distribution of AL scan directions across the source.
scanDirectionMean[k-1] (k=1,2,3,4) is 1/k times the argument of the
trigonometric moments m_k=\langle\exp(ik\theta)\rangle, where \theta is
the position angle of the scan and the mean value is taken over the
nObs[0] AL observations contributing to the astrometric parameters of
the source. \theta is defined in the usual astronomical sense: \theta=0
when the FoV is moving towards local North, and \theta=90^\circ towards
local East.
scanDirectionMean[k-1] is an angle between -180^\circ/k and
+180^\circ/k, giving the mean position angle of the scans at order k.
The different orders k are statistics of the scan directions modulo
360^\circ/k. For example, at first order (k=1), \theta=10^\circ and
\theta=190^\circ count as different directions, but at second order
(k=2) they are the same. Thus, scanDirectionMean[0] is the mean
direction when the sense of direction is taken into account, while
scanDirectionMean[1] is the mean direction without regard to the sense
of the direction. For example, scanDirectionMean[0] = 0 means that the
scans preferentially go towards North, while scanDirectionMean[1] = 0
means that they preferentially go in the North-South direction, and
scanDirectionMean[4] = 0 that they preferentially go either in the
North-South or in the East-West direction.
deg
pos.posAng;stat.mean
float
indexed
phot_g_n_obs
Number of observations (CCD transits) that contributed to the G mean
flux and mean flux error.
meta.number
int
indexed
phot_g_mean_flux
Mean flux in the G-band.
'electron'.s**-1
phot.flux;stat.mean;em.opt
double
indexed
phot_g_mean_flux_error
Error on the mean flux in the G-band.
'electron'.s**-1
stat.error;phot.flux;stat.mean;em.opt
double
indexed
phot_g_mean_mag
Mean magnitude in the G band. This is computed from the G-band mean flux
applying the magnitude zero-point in the Vega scale.
mag
phot.mag;stat.mean;em.opt
double
indexed
primary
phot_variable_flag
Flag indicating if variability was identified in the photometric G band:
- source not processed and/or exported to catalogue
- Source not identified as variable
- source identified and processed as variable, see tables
PhotVariableSummary, PhotVariableTimeSeriesGfov,
PhotVariableTimeSeriesGfovStatisticalParameters, and Cepheid or
Rrlyrae for more details.
Note that for this data release only a small subset of (variable)
sources was processed and/or exported, so for many (known) variable
sources this flag is set to “NOT AVAILABLE”. No “CONSTANT” sources were
exported either.
meta.code;src.var
char
indexed
primary
l
Galactic Longitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.galactic.lon
double
indexed
b
Galactic Latitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.galactic.lat
double
indexed
ecl_lon
Ecliptic Longitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.ecliptic.lon
double
indexed
ecl_lat
Ecliptic Latitude of the object at reference epoch refEpoch, see ESA,
1997, ’The Hipparcos and Tycho Catalogues’, ESA SP-1200, Volume 1,
Section 1.5.3, for the conversion details.
deg
pos.ecliptic.lat
double
indexed
gaiadr2
Gaia Data Release 2
gaiadr2.aux_allwise_agn_gdr2_cross_id
allwise_name
Identifier in the ALLWISE AGN catalogue
meta.id.cross;meta.main
char
indexed
source_id
Gaia source identifier
meta.id.cross
long
indexed
gaiadr2.aux_iers_gdr2_cross_id
iers_name
IERS name
meta.id.cross;meta.main
char
indexed
source_id
Gaia source identifier
meta.id.cross
long
indexed
gaiadr2.aux_sso_orbit_residuals
Residuals with respect to an orbital fit considering only the Gaia
observations. Each entry has a corresponding record in the table
sso_observation. A flag is given, indicating if the observation has been
rejected by the fit procedure.
source_id
Source identifier
meta.id;meta.main
long
indexed
transit_id
Transit Identifier
meta.id
long
observation_id
Observation Identifier
meta.id.cross
long
indexed
number_mp
minor planet number attributed by MPC
meta.id.cross
long
indexed
epoch
Gaiacentric epoch TCB(Gaia)
d
time.epoch
double
residual_ra
post-orbital fit residual in RA*cos(Dec)
mas
pos.angDistance;arith.diff
double
residual_dec
post-orbital fit residual in Dec
mas
pos.angDistance;arith.diff
double
residual_al
post-orbital fit residual AL
mas
pos.angDistance;arith.diff
double
residual_ac
post-orbital fit residual AC
mas
pos.angDistance;arith.diff
double
selected
observation not rejected by orbital fit
meta.code.status
boolean
gaiadr2.aux_sso_orbits
Auxiliary information on asteroid orbits and basic photometric
parameters. Ready to ingest the astorb data base:
ftp://cdsarc.u-strasbg.fr/pub/cats/B/astorb/astorb.html
solution_id
Solution Identifier
meta.version
long
number_mp
Asteroid MPC number
meta.id
long
indexed
designation
MPC name
meta.id;meta.main
char
indexed
mag_h
absolute magnitude
mag
phot.mag
double
slope_g
slope parameter
stat.fit.param
double
code
object specific flags
meta.code.status
int
obs_arc
arc spanned by the observations
d
time.interval
long
obs_num
number of observations used
meta.number
long
osc_epoch
epoch of osculation
'yyyymmdd'
time.epoch
char
orb_m
mean anomaly
deg
src.orbital.meanAnomaly
double
omega
argument of perihelion
deg
src.orbital.periastron
double
node_omega
longitude of ascending node
deg
src.orbital.node
double
inclination
orbit inclination
deg
src.orbital.inclination
double
eccentricity
orbit eccentricity
src.orbital.eccentricity
double
a
semimajor axis
AU
src.orbital;phys.size.smajAxis
double
orb_date
date of orbit computation
'yyyymmdd'
time.processing
char
ceu
current orbit uncertainty
arcsec
stat.error;src.orbital
double
ceu_rate
rate of change of the orbit uncertainty
mas.s**-1
stat.error;src.orbital
double
ceu_epoch
date of the CEU
'yyyymmdd'
time
char
gaiadr2.dr1_neighbourhood
Users wishing to look up the DR2 record for an astrophysical source
identified in DR1 must NOT simply extract the record from DR2 having the
same source identifier.
As described in the detailed description of attribute designation in
GaiaSource it is not guaranteed that the same astronomical source will
always have the same source identifier in different Data Releases. Hence
the only safe way to compare source records between different Data
Releases in general is to check the records of proximal source(s) in the
same small part of the sky. This table provides the means to do this via
a precomputed crossmatch of such sources, taking into account the proper
motions available at DR2.
Within the neighbourhood of a given DR2 source there may be none, one or
(rarely) several possible counterparts in DR1 indicated by rows in this
table. This occasional source confusion was introduced during the DR1
processing which used an earlier version of the software for matching of
transit observations to unique astrophysical sources. The subsequent
merging, splitting and deletion of identifiers introduced at DR1 during
the DR2 processing means there is no guaranteed one–to–one
correspondence in source identifiers between the releases.
For more details of the procedure used to create this crossmatch, see
Section [chap:xmdr1] in the online documentation.
dr1_source_id
Source identifier in Gaia DR1
meta.id.cross
long
indexed
dr2_source_id
Source identifier in Gaia DR2
meta.id.cross;meta.main
long
indexed
angular_distance
Angular distance between the two sources
arcsec
pos.angDistance
float
indexed
magnitude_difference
G band magnitude difference between the sources
mag
phot.mag;arith.diff
float
indexed
rank
Rank metric indicating relative probability of a good match
stat.probability
float
indexed
gaiadr2.allwise_best_neighbour
AllWISE BestNeighbour table lists each matched Gaia object with its best
neighbour in the external catalogue.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
allwise_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
indexed
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
indexed
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
indexed
gaiadr2.allwise_neighbourhood
AllWISE Neighbourhood table includes all good neighbours for each
matched Gaia object. A good neighbour for a given Gaia object is a
nearby object in the external catalogue whose position is compatible
(within position errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
allwise_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.apassdr9_best_neighbour
APASS DR9 BestNeighbour table lists each matched Gaia object with its
best neighbour in the external catalogue.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
apassdr9_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
gaiadr2.apassdr9_neighbourhood
APASS DR9 Neighbourhood table includes all good neighbours for each
matched Gaia object. A good neighbour for a given Gaia object is a
nearby object in the external catalogue whose position is compatible
(within position errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
score
Score of neighbours
meta.code
double
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
apassdr9_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.gsc23_best_neighbour
GSC2.3 BestNeighbour table lists each matched Gaia object with its best
neighbour in the external catalogue.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
gsc23_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
indexed
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
indexed
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
indexed
gaiadr2.gsc23_neighbourhood
GSC2.3 Neighbourhood table includes all good neighbours for each matched
Gaia object. A good neighbour for a given Gaia object is a nearby object
in the external catalogue whose position is compatible (within position
errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
gsc23_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.hipparcos2_best_neighbour
Hipparcos-2 BestNeighbour table lists each matched external catalogue
object with its best neighbour in Gaia.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
int
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
gaiadr2.hipparcos2_neighbourhood
Hipparcos-2 Neighbourhood table includes all good neighbours for each
matched external catalogue object. A good neighbour for a given external
catalogue object is a nearby object in Gaia whose position is compatible
(within position errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
gaiadr2.panstarrs1_best_neighbour
Pan-STARRS1 BestNeighbour table lists each matched Gaia object with its
best neighbour in the external catalogue.
There are 1 327 157 objects in the filtered version of Pan-STARRS1 used
to compute this cross-match that have too early epochMean.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
gaiadr2.panstarrs1_neighbourhood
Pan-STARRS1 Neighbourhood table includes all good neighbours for each
matched Gaia object. A good neighbour for a given Gaia object is a
nearby object in the external catalogue whose position is compatible
(within position errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
score
Score of neighbours
meta.code
double
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
gaiadr2.ppmxl_best_neighbour
PPMXL BestNeighbour table lists each matched Gaia object with its best
neighbour in the external catalogue.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
ppmxl_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
indexed
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
indexed
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
indexed
gaiadr2.ppmxl_neighbourhood
PPMXL Neighbourhood table includes all good neighbours for each matched
Gaia object. A good neighbour for a given Gaia object is a nearby object
in the external catalogue whose position is compatible (within position
errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
ppmxl_oid
External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance_error
double
indexed
gaiadr2.ravedr5_best_neighbour
RAVE DR5 table lists each matched external catalogue object with its
best neighbour in Gaia.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
ravedr5_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
int
gaiadr2.ravedr5_neighbourhood
RAVE DR5 Neighbourhood table includes all good neighbours for each
matched external catalogue object. A good neighbour for a given external
catalogue object is a nearby object in Gaia whose position is compatible
(within position errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
score
Score of neighbours
meta.code
double
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
ravedr5_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.sdssdr9_best_neighbour
SDSS DR9 BestNeighbour table lists each matched Gaia object with its
best neighbour in the external catalogue.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
sdssdr9_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
indexed
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
indexed
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
indexed
gaiadr2.sdssdr9_neighbourhood
SDSS DR9 Neighbourhood table includes all good neighbours for each
matched Gaia object. A good neighbour for a given Gaia object is a
nearby object in the external catalogue whose position is compatible
(within position errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
sdssdr9_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.tmass_best_neighbour
2MASS BestNeighbour table lists each matched Gaia object with its best
neighbour in the external catalogue.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
tmass_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
indexed
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
indexed
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
indexed
gaiadr2.tmass_neighbourhood
2MASS Neighbourhood table includes all good neighbours for each matched
Gaia object. A good neighbour for a given Gaia object is a nearby object
in the external catalogue whose position is compatible (within position
errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
tmass_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.tycho2_best_neighbour
Tycho-2 table lists each matched external catalogue object with its best
neighbour in Gaia.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
tycho2_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
int
indexed
gaiadr2.tycho2_neighbourhood
Tycho-2 Neighbourhood table includes all good neighbours for each
matched external catalogue object. A good neighbour for a given external
catalogue object is a nearby object in Gaia whose position is compatible
(within position errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
tycho2_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.urat1_best_neighbour
URAT-1 BestNeighbour table lists each matched Gaia object with its best
neighbour in the external catalogue.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
urat1_oid
External Catalogue source identifier
meta.id.cross
long
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
indexed
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
indexed
best_neighbour_multiplicity
Number of neighbours with same probability as best neighbour
meta.number
short
indexed
gaiadr2.urat1_neighbourhood
URAT-1 Neighbourhood table includes all good neighbours for each matched
Gaia object. A good neighbour for a given Gaia object is a nearby object
in the external catalogue whose position is compatible (within position
errors) with the target.
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
indexed
gaia_astrometric_params
Number of Gaia astrometric params used
meta.code.status
short
indexed
urat1_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiadr2.sso_observation
Solar System object observations. Each table line contained data
obtained during the transit of the source on a single CCD, during a
single transit. The corresponding epoch is provided. Data not varying
within the transit are repeated identically for all single observations
of that transit.
solution_id
Solution Identifier
meta.version
long
source_id
Source identifier
meta.id;meta.main
long
indexed
observation_id
Observation Identifier
meta.id
long
number_mp
minor planet number attributed by MPC
meta.id.cross
long
indexed
epoch
Gaia-centric epoch TCB(Gaia)
d
time.epoch
double
indexed
epoch_err
Error in Gaiacentric epoch
d
stat.error;time.epoch
double
epoch_utc
Gaiacentric epoch UTC
d
time.epoch
double
ra
Right ascension of the source
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
dec
Declination of the source
deg
pos.eq.dec
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
ra_error_systematic
Standard error of right ascension - systematic
mas
stat.error;pos.eq.ra
double
dec_error_systematic
Standard error of declination - systematic
mas
stat.error;pos.eq.dec
double
ra_dec_correlation_systematic
Correlation of ra and dec errors - systematic
stat.correlation;pos.eq
double
ra_error_random
Standard error of right ascension - random
mas
stat.error;pos.eq.ra
double
dec_error_random
Standard error of declination - random
mas
stat.error;pos.eq.dec
double
ra_dec_correlation_random
Correlation of ra and dec errors - random
stat.correlation;pos.eq
double
g_mag
Calibrated G mag
mag
phot.mag;em.opt
double
g_flux
Average calibrated G flux for the transit
'electron'.s**-1
phot.flux;em.opt
double
g_flux_error
Error on the G flux
'electron'.s**-1
stat.error;phot.flux;em.opt
double
x_gaia
Barycentric x position of Gaia
AU
pos.cartesian.x;pos.barycenter
double
y_gaia
Barycentric y position of Gaia
AU
pos.cartesian.y;pos.barycenter
double
z_gaia
Barycentric z position of Gaia
AU
pos.cartesian.z;pos.barycenter
double
vx_gaia
Barycentric x velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.x
double
vy_gaia
Barycentric y velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.y
double
vz_gaia
Barycentric z velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.z
double
position_angle_scan
Position angle of the scanning direction
deg
pos.posAng
double
level_of_confidence
Level of confidence of the identification
stat.likelihood
short
gaiadr2.sso_source
This table contains data related to Solar System objects observed by
Gaia. The quantities in the table are derived from data reduction and
are associated to single objects.
solution_id
Solution Identifier
meta.version
long
indexed
source_id
Source identifier
meta.id;meta.main
long
indexed
num_of_obs
number of observations
meta.number
int
number_mp
Minor Planet number
meta.id.cross
long
indexed
denomination
standard MPC denomination of the asteroid
meta.id.cross
char
gaiadr2.vari_cepheid
This table describes the Cepheid stars.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
pf
Period corresponding to the fundamental pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
pf_error
Uncertainty of the pf period
d
stat.error;time.period
double
p1_o
Period corresponding to the first overtone pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
p1_o_error
Uncertainty of the p1O period
d
stat.error;time.period
double
p2_o
Period corresponding to the second overtone pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
p2_o_error
Uncertainty of the p2O period
d
stat.error;time.period
double
p3_o
Period corresponding to the third overtone pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
p3_o_error
Uncertainty of the p3O period
d
stat.error;time.period
double
epoch_g
Epoch of the maximum of the light curve in the G band
d
time.epoch;stat.max
double
epoch_g_error
Uncertainty on the epoch parameter epochG
d
stat.error;time.epoch
double
epoch_bp
Epoch of the maximum of the light curve in the BP band
d
time.epoch;stat.max
double
epoch_bp_error
Uncertainty on the epoch parameter epochBp
d
stat.error;time.epoch
double
epoch_rp
Epoch of the maximum of the light curve in the RP band
d
time.epoch;stat.max
double
epoch_rp_error
Uncertainty on the epoch parameter epochRp
d
stat.error;time.epoch
double
int_average_g
Intensity-averaged magnitude in the G band
mag
phot.mag;em.opt
double
int_average_g_error
Uncertainty on intAverageG parameter
mag
stat.error;phot.mag;em.opt
double
int_average_bp
intensity-averaged magnitude in the BP band
mag
stat.error;phot.mag
double
int_average_bp_error
Uncertainty on intAverageBp parameter
mag
stat.error;phot.mag
double
int_average_rp
intensity-averaged magnitude in the RP band
mag
stat.error;phot.mag
double
int_average_rp_error
Uncertainty on intAverageRp parameter
mag
stat.error;phot.mag
double
peak_to_peak_g
Peak-to-peak amplitude of the G band light curve
mag
src.var.amplitude;em.opt
double
peak_to_peak_g_error
Uncertainty on the peakToPeakG parameter
mag
stat.error;src.var.amplitude;em.opt
double
peak_to_peak_bp
Peak-to-peak amplitude of the BP band light curve
mag
src.var.amplitude
double
peak_to_peak_bp_error
Uncertainty on the peakToPeakBp parameter
mag
stat.error;src.var.amplitude
double
peak_to_peak_rp
Peak-to-peak amplitude of the RP band light curve
mag
src.var.amplitude
double
peak_to_peak_rp_error
Uncertainty on the peakToPeakRp parameter
mag
stat.error;src.var.amplitude
double
metallicity
Metallicity of the star from the Fourier parameters of the light curve
'dex'
phys.abund.Z
double
metallicity_error
Uncertainty of the metallicity parameter
'dex'
stat.error;phys.abund.Z
double
r21_g
Fourier decomposition parameter r21G: A2/A1 (for G band)
stat.Fourier
double
r21_g_error
Uncertainty on the r21G parameter: A2/A1 (for G band)
stat.error
double
r31_g
Fourier decomposition parameter r31G: A3/A1 (for G band)
stat.Fourier
double
r31_g_error
Uncertainty on the r31G parameter: A3/A1 (for G band)
stat.error
double
phi21_g
Fourier decomposition parameter phi21G: phi2 - 2*phi1 (for G band)
rad
stat.Fourier
double
phi21_g_error
Uncertainty on the phi21G parameter: phi2 - 2*phi1 (for G band)
rad
stat.error
double
phi31_g
Fourier decomposition parameter phi31G: phi3 - 3*phi1 (for G band)
rad
stat.Fourier
double
phi31_g_error
Uncertainty on the phi31G parameter: phi3 - 3*phi1 (for G band)
rad
stat.error
double
num_clean_epochs_g
Number of G FoV epochs used in the fitting algorithm
meta.number
int
num_clean_epochs_bp
Number of BP epochs used in the fitting algorithm
meta.number
int
num_clean_epochs_rp
Number of RP epochs used in the fitting algorithm
meta.number
int
g_absorption
Interstellar absorption in the G-band
mag
phys.absorption.gal
double
g_absorption_error
Error on the interstellar absorption in the G-band
mag
stat.error;phys.absorption.gal
double
type_best_classification
Best type classification estimate out of: {"DCEP", "T2CEP", "ACEP"}
meta.code.class;src.class
char
type2_best_sub_classification
Best subclassification estimate for typeBestClassification="T2CEP" out of: {"BL_HER", "W_VIR","RV_TAU"}
meta.code.class;src.class
char
mode_best_classification
Best mode classification estimate out of: { "FUNDAMENTAL", "FIRST_OVERTONE","SECOND_OVERTONE","MULTI,"UNDEFINED","NOT_APPLICABLE"}
meta.code.class;src.class
char
multi_mode_best_classification
Best multi mode DCEP classification out of: { "F/1O", "F/2O","1O/2O","1O/3O,"2O/3O",F/1O/2O,"1O/2O/3O"}
meta.code.class;src.class
char
gaiadr2.vari_classifier_class_definition
Table with detailed descriptions of published classes for each
classifier described in VariClassifierDefinition and used in table
VariClassifierResult.
In DR2 this table contains the details of a classifier with
classifierName=‘nTransits:2+’.
solution_id
Solution Identifier
meta.version
long
classifier_name
Name of the classifier that is detailed in this entry
meta.version;meta.software
char
indexed
class_name
Name of the published class from this classifier
meta.title
char
indexed
class_description
Description of the published class from this classifier
meta.note
char
gaiadr2.vari_classifier_definition
Table with detailed descriptions of all classifiers used in table
VariClassifierResult. Details of the published classes for each
classifier can be found in VariClassifierClassDefinition.
In DR2 this table contains the details of a classifier with
classifierName=‘nTransits:2+’.
solution_id
Solution Identifier
meta.version
long
classifier_name
Name of the classifier that is detailed in this entry
meta.version;meta.software
char
indexed
classifier_description
Description of this classifier
meta.version;meta.software
char
gaiadr2.vari_classifier_result
Table with variability classification results of all classifiers,
identified by the classifierName column. In DR2 it contains a classifier
with classifierName=‘nTransits:2+’, description of which can be found in
VariClassifierDefinition and classes in VariClassifierClassDefinition.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
classifier_name
Classifier name used to produce this result, use for lookup in VariClassifierDefinition table
meta.version;meta.software
char
indexed
best_class_name
Name of best class, see table VariClassifierDefinition for details of the class
meta.title
char
indexed
best_class_score
Score of the best class
meta.code.qual
double
gaiadr2.vari_long_period_variable
This table describes the Long Period Variable stars.
Some entries can be NaN when absent.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
abs_mag_bol
Absolute bolometric magnitude of the star
mag
phot.mag.bol
double
abs_mag_bol_error
Error of absolute bolometric magnitude
mag
stat.error;phot.mag.bol
double
rsg_flag
Red supergiant flag
meta.code.status
boolean
bolometric_corr
Bolometric correction for LPVs
mag
phot.mag.bc
double
bolometric_corr_error
Error of the bolometric correction
mag
stat.error;phot.mag.bc
double
frequency
Frequency of the LPV
d**-1
double
frequency_error
Error on the frequency
d**-1
double
gaiadr2.vari_rotation_modulation
This table describes the solar-like stars with rotational modulation.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
num_segments
Number of segments
meta.number
int
segments_start_time
Times at which segments start
d
meta.dataset;time.start
double
segments_end_time
Times at which segments end
d
meta.dataset;time.end
double
segments_colour_mag_intercept
Colour-Magnitude Intercept in segments
stat.fit.param
double
segments_colour_mag_intercept_error
Colour-Magnitude Intercept uncertainty in segments
stat.error;stat.fit.param
double
segments_colour_mag_slope
Colour-Magnitude Slope in segments
stat.fit.param
double
segments_colour_mag_slope_error
Colour-Magnitude Slope uncertainty in segments
stat.error;stat.fit.param
double
segments_correlation_coefficient
Correlation coefficient in segments
stat.correlation;phot.mag;phot.color
double
segments_correlation_significance
Correlation coefficient significance in segments
stat.fit.goodness
double
num_outliers
Number of outliers
meta.number
int
outliers_time
Times at which outliers occurs
d
meta.dataset;time
double
segments_rotation_period
Rotation period in segment
d
phys.veloc.rotat;time.period
double
segments_rotation_period_error
Rotation period uncertainty in segment
d
stat.error;phys.veloc.rotat;time.period
double
segments_rotation_period_fap
FAP on rotation period in segment
stat.probability
double
segments_cos_term
Coefficient of cosine term of linear fit in segment
mag
stat.fit.param
double
segments_cos_term_error
Errors on cosin terms
mag
stat.error;stat.fit.param
double
segments_sin_term
Coefficient of sin term of linear fit in segment
mag
stat.fit.param
double
segments_sin_term_error
Errors on sine terms
mag
stat.error;stat.fit.param
double
segments_a0_term
Constant term (A0) of linear fit in segment
mag
stat.fit.param
double
segments_a0_term_error
Errors on constant terms
mag
stat.error;stat.fit.param
double
best_rotation_period
Best rotation period
d
phys.veloc.rotat;time.period
double
best_rotation_period_error
Error on best rotation period
d
stat.error;phys.veloc.rotat;time.period
double
segments_activity_index
Activity Index in segment
mag
phot.mag;src.var.amplitude
double
segments_activity_index_error
error on Activity index in segment
mag
stat.error;phot.mag;src.var.amplitude
double
max_activity_index
The maximum Activity Index
mag
phot.mag;src.var.amplitude;stat.max
double
max_activity_index_error
Error on maximum activity index
mag
stat.error;phot.mag;src.var.amplitude;stat.max
double
segments_g_unspotted
The unspotted G mags in segment
mag
phot.mag;em.opt
double
segments_g_unspotted_error
The unspotted G mag uncertainties in segment
mag
stat.error;phot.mag;em.opt
double
segments_bp_unspotted
The unspotted BP mag in segment
mag
phot.mag;em.opt.B
double
segments_bp_unspotted_error
The unspotted BP mag uncertainties in segment
mag
stat.error;phot.mag;em.opt.B
double
segments_rp_unspotted
The unspotted RP mag in segment
mag
phot.mag;em.opt.R
double
segments_rp_unspotted_error
The unspotted RP mag uncertainties in segment
mag
stat.error;phot.mag;em.opt.R
double
g_unspotted
Unspotted G mag
mag
phot.mag;em.opt
double
g_unspotted_error
Unspotted G mag uncertainty
mag
stat.error;phot.mag;em.opt
double
bp_unspotted
Unspotted BP mag
mag
phot.mag;em.opt.B
double
bp_unspotted_error
Unspotted BP mag uncertainty
mag
stat.error;phot.mag;em.opt.B
double
rp_unspotted
Unspotted RP mag
mag
phot.mag;em.opt.R
double
rp_unspotted_error
Unspotted RP mag uncertainty
mag
stat.error;phot.mag;em.opt.R
double
gaiadr2.vari_rrlyrae
This table describes the RR Lyrae stars.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
pf
Period corresponding to the fundamental pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
pf_error
Uncertainty of the pf period
d
stat.error;time.period
double
p1_o
Period corresponding to the first overtone pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
p1_o_error
Uncertainty of the p1O period
d
stat.error;time.period
double
p2_o
Period corresponding to the second overtone pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
p2_o_error
Uncertainty of the p2O period
d
stat.error;time.period
double
p3_o
Period corresponding to the third overtone pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
p3_o_error
Uncertainty of the p3O period
d
stat.error;time.period
double
epoch_g
Epoch of the maximum of the light curve in the G band
d
time.epoch;stat.max
double
epoch_g_error
Uncertainty on the epoch parameter epochG
d
stat.error;time.epoch
double
epoch_bp
Epoch of the maximum of the light curve in the BP band
d
time.epoch;stat.max
double
epoch_bp_error
Uncertainty on the epoch parameter epochBp
d
stat.error;time.epoch
double
epoch_rp
Epoch of the maximum of the light curve in the RP band
d
time.epoch;stat.max
double
epoch_rp_error
Uncertainty on the epoch parameter epochRp
d
stat.error;time.epoch
double
int_average_g
Intensity-averaged magnitude in the G band
mag
phot.mag;em.opt
double
int_average_g_error
Uncertainty on intAverageG parameter
mag
stat.error;phot.mag;em.opt
double
int_average_bp
intensity-averaged magnitude in the BP band
mag
stat.error;phot.mag
double
int_average_bp_error
Uncertainty on intAverageBp parameter
mag
stat.error;phot.mag
double
int_average_rp
intensity-averaged magnitude in the RP band
mag
stat.error;phot.mag
double
int_average_rp_error
Uncertainty on intAverageRp parameter
mag
stat.error;phot.mag
double
peak_to_peak_g
Peak-to-peak amplitude of the G band light curve
mag
src.var.amplitude;em.opt
double
peak_to_peak_g_error
Uncertainty on the peakToPeakG parameter
mag
stat.error;src.var.amplitude;em.opt
double
peak_to_peak_bp
Peak-to-peak amplitude of the BP band light curve
mag
src.var.amplitude
double
peak_to_peak_bp_error
Uncertainty on the peakToPeakBp parameter
mag
stat.error;src.var.amplitude
double
peak_to_peak_rp
Peak-to-peak amplitude of the RP band light curve
mag
src.var.amplitude
double
peak_to_peak_rp_error
Uncertainty on the peakToPeakRp parameter
mag
stat.error;src.var.amplitude
double
metallicity
Metallicity of the star from the Fourier parameters of the light curve
'dex'
phys.abund.Z
double
metallicity_error
Uncertainty of the metallicity parameter
'dex'
stat.error;phys.abund.Z
double
r21_g
Fourier decomposition parameter r21G: A2/A1 (for G band)
stat.Fourier
double
r21_g_error
Uncertainty on the r21G parameter: A2/A1 (for G band)
stat.error
double
r31_g
Fourier decomposition parameter r31G: A3/A1 (for G band)
stat.Fourier
double
r31_g_error
Uncertainty on the r31G parameter: A3/A1 (for G band)
stat.error
double
phi21_g
Fourier decomposition parameter phi21G: phi2 - 2*phi1 (for G band)
rad
stat.Fourier
double
phi21_g_error
Uncertainty on the phi21G parameter: phi2 - 2*phi1 (for G band)
rad
stat.error
double
phi31_g
Fourier decomposition parameter phi31G: phi3 - 3*phi1 (for G band)
rad
stat.Fourier
double
phi31_g_error
Uncertainty on the phi31G parameter: phi3 - 3*phi1 (for G band)
rad
stat.error
double
num_clean_epochs_g
Number of G FoV epochs used in the fitting algorithm
meta.number
int
num_clean_epochs_bp
Number of BP epochs used in the fitting algorithm
meta.number
int
num_clean_epochs_rp
Number of RP epochs used in the fitting algorithm
meta.number
int
g_absorption
Interstellar absorption in the G-band
mag
phys.absorption.gal
double
g_absorption_error
Error on the interstellar absorption in the G-band
mag
stat.error;phys.absorption.gal
double
best_classification
Best RR Lyrae classification estimate out of: {"RRC", "RRAB", "RRD"}
meta.code.class;src.class
char
indexed
gaiadr2.vari_short_timescale
This table describes the short-timescale sources. For DR2, all sources
in this table were selected according to their variogram analysis.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
amplitude_estimate
Amplitude estimate of all per CCD G-band photometry (quantile(95%)-quantile(5%))
mag
src.var.amplitude;phot.mag;em.opt
double
number_of_fov_transits
Number of FoV transits with more than 7 CCD measurements after time series cleaning
meta.number
int
mean_of_fov_abbe_values
Mean of per-FOV Abbe values derived from CCD G-band photometry
stat.value
double
variogram_num_points
Number of points in the variogram
meta.number
int
variogram_char_timescales
Characteristic time scales of variability
d
time
double
variogram_values
Variogram values associated with the variogramCharTimescales
mag**2
stat.value
double
frequency
Frequency search result for either G CCD, G FoV, BP or RP photometry (Null if no periodicity detected)
d**-1
src.var;time.period
double
gaiadr2.vari_time_series_statistics
Statistical parameters of time series, using only transits not rejected,
see rejectedByVariability column in the VO Table epochPhotometryUrl in
gaiaSource.
Note that NaN will be reported when the parameter value is missing or
cannot be calculated.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
num_selected_g_fov
Total number of G FOV transits selected for variability analysis
meta.number
int
mean_obs_time_g_fov
Mean observation time for G FoV transits
d
time;stat.mean
double
time_duration_g_fov
Time duration of the time series for G FoV transits
d
time.duration
double
min_mag_g_fov
Minimum G FoV magnitude
mag
phot.mag;em.opt
double
max_mag_g_fov
Maximum G FoV magnitude
mag
time;stat.mean
double
mean_mag_g_fov
Mean G FoV magnitude
mag
time;stat.mean
double
median_mag_g_fov
Median G FoV magnitude
mag
phot.mag;em.opt
double
range_mag_g_fov
Difference between the highest and lowest G FoV magnitudes
mag
phot.mag;em.opt
double
std_dev_mag_g_fov
Square root of the unweighted G FoV magnitude variance
mag
stat.stdev;phot.mag;em.opt
double
skewness_mag_g_fov
Standardized unweighted G FoV magnitude skewness
stat.value;phot.mag;em.opt
double
kurtosis_mag_g_fov
Standardized unweighted G FoV magnitude kurtosis
stat.value;phot.mag;em.opt
double
mad_mag_g_fov
Median Absolute Deviation (MAD) for G FoV transits
mag
stat.value;phot.mag;em.opt
double
abbe_mag_g_fov
Abbe value for G FoV transits
stat.value;phot.mag;em.opt
double
iqr_mag_g_fov
Interquartile range for G FoV transits
mag
stat.value;phot.mag;em.opt
double
num_selected_bp
Total number of BP observations selected for variability analysis
meta.number
int
mean_obs_time_bp
Mean observation time for BP observations
d
time;stat.mean
double
time_duration_bp
Time duration of the BP time series
d
time.duration
double
min_mag_bp
Minimum BP magnitude
mag
phot.mag;em.opt.B
double
max_mag_bp
Maximum BP magnitude
mag
phot.mag;em.opt.B
double
mean_mag_bp
Mean BP magnitude
mag
phot.mag;em.opt.B
double
median_mag_bp
Median BP magnitude
mag
phot.mag;em.opt.B
double
range_mag_bp
Difference between the highest and lowest BP magnitudes
mag
phot.mag;em.opt.B
double
std_dev_mag_bp
Square root of the unweighted BP magnitude variance
mag
stat.stdev;phot.mag;em.opt.B
double
skewness_mag_bp
Standardized unweighted BP magnitude skewness
phot.mag;em.opt.B
double
kurtosis_mag_bp
Standardized unweighted BP magnitude kurtosis
phot.mag;em.opt.B
double
mad_mag_bp
Median Absolute Deviation (MAD) for BP observations
mag
phot.mag;em.opt.B
double
abbe_mag_bp
Abbe value for BP observations
stat.error;phot.mag;em.opt.B
double
iqr_mag_bp
Interquartile BP magnitude range
mag
phot.mag;em.opt.B
double
num_selected_rp
Total number of RP observations selected for variability analysis
meta.number
int
mean_obs_time_rp
Mean observation time for RP observations
d
time;stat.mean
double
time_duration_rp
Time duration of the RP time series
d
time.duration
double
min_mag_rp
Minimum RP magnitude
mag
phot.mag;em.opt.R
double
max_mag_rp
Maximum RP magnitude
mag
phot.mag;em.opt.R
double
mean_mag_rp
Mean RP magnitude
mag
phot.mag;em.opt.R
double
median_mag_rp
Median RP magnitude
mag
phot.mag;em.opt.R
double
range_mag_rp
Difference between the highest and lowest RP magnitudes
mag
phot.mag;em.opt.R
double
std_dev_mag_rp
Square root of the unweighted RP magnitude variance
mag
stat.stdev;phot.mag;em.opt.R
double
skewness_mag_rp
Standardized unweighted RP magnitude skewness
stat.value;phot.mag;em.opt
double
kurtosis_mag_rp
Standardized unweighted RP magnitude kurtosis
stat.value;phot.mag;em.opt
double
mad_mag_rp
Median Absolute Deviation (MAD) for RP observations
mag
stat.value;phot.mag;em.opt
double
abbe_mag_rp
Abbe value for RP observations
stat.value;phot.mag;em.opt
double
iqr_mag_rp
Interquartile RP magnitude range
mag
stat.value;phot.mag;em.opt
double
gaiadr2.panstarrs1_original_valid
The Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) is
a system for wide-field astronomical imaging developed and operated by
the Institute for Astronomy at the University of Hawaii. Pan-STARRS1
(PS1) is the first part of Pan-STARRS to be completed and is the basis
for Data Release 1 (DR1). The PS1 survey used a 1.8 meter telescope and
its 1.4 Gigapixel camera to image the sky in five broadband filters (g,
r, i, z, y).
The current table contains a filtered subsample of the 10 723 304 629
entries listed in the original ObjectThin table.
We used only ObjectThin and MeanObject tables to extract
panstarrs1OriginalValid table, this means that objects detected only in
stack images are not included here. The main reason for us to avoid the
use of objects detected in stack images is that their astrometry is not
as good as the mean objects astrometry: “The stack positions (raStack,
decStack) have considerably larger systematic astrometric errors than
the mean epoch positions (raMean, decMean).” The astrometry for the
MeanObject positions uses Gaia DR1 as a reference catalog, while the
stack positions use 2MASS as a reference catalog.
In details, we filtered out all objects where:
- nDetections = 1
- no good quality data in Pan-STARRS, objInfoFlag 33554432 not set
- mean astrometry could not be measured, objInfoFlag 524288 set
- stack position used for mean astrometry, objInfoFlag 1048576 set
- error on all magnitudes equal to 0 or to -999;
- all magnitudes set to -999;
- error on RA or DEC greater than 1 arcsec.
The number of objects in panstarrs1OriginalValid is 2 264 263 282.
The panstarrs1OriginalValid table contains only a subset of the columns
available in the combined ObjectThin and MeanObject tables. A
description of the original ObjectThin and MeanObjects tables can be
found at:
https://outerspace.stsci.edu/display/PANSTARRS/PS1+Database+object+and+detection+tables
Download:
http://mastweb.stsci.edu/ps1casjobs/home.aspx
Documentation:
https://outerspace.stsci.edu/display/PANSTARRS
http://pswww.ifa.hawaii.edu/pswww/
References:
The Pan-STARRS1 Surveys, Chambers, K.C., et al. 2016, arXiv:1612.05560
Pan-STARRS Data Processing System, Magnier, E. A., et al. 2016,
arXiv:1612.05240
Pan-STARRS Pixel Processing: Detrending, Warping, Stacking, Waters, C.
Z., et al. 2016, arXiv:1612.05245
Pan-STARRS Pixel Analysis: Source Detection and Characterization,
Magnier, E. A., et al. 2016, arXiv:1612.05244
Pan-STARRS Photometric and Astrometric Calibration, Magnier, E. A., et
al. 2016, arXiv:1612.05242
The Pan-STARRS1 Database and Data Products, Flewelling, H. A., et al.
2016, arXiv:1612.05243
Catalogue curator:
SSDC - ASI Space Science Data Center
https://www.ssdc.asi.it/
obj_name
IAU name
char
obj_id
Unique Object Identifier
long
indexed
primary
ra
RA Mean
deg
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
float
indexed
primary
dec
DEC Mean
deg
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
float
indexed
primary
ra_error
RA Mean standard deviation
arcsec
double
dec_error
DEC Mean standard deviation
arcsec
double
epoch_mean
Epoch Mean
d
float
g_mean_psf_mag
Mean magnitude in g filter
double
indexed
primary
g_mean_psf_mag_error
Error in Mean magnitude in g filter
mag
double
g_flags
g filter flags
mag
int
r_mean_psf_mag
Mean magnitude in r filter
mag
double
indexed
primary
r_mean_psf_mag_error
Error in Mean magnitude in r filter
mag
double
r_flags
r filter flags
int
i_mean_psf_mag
Mean magnitude in i filter
mag
double
indexed
primary
i_mean_psf_mag_error
Error in Mean magnitude in i filter
mag
double
i_flags
i filter flags
int
z_mean_psf_mag
Mean magnitude in z filter
mag
double
indexed
primary
z_mean_psf_mag_error
Error in Mean magnitude in z filter
mag
double
z_flags
z filter flags
int
y_mean_psf_mag
Mean magnitude in y filter
mag
double
indexed
primary
y_mean_psf_mag_error
Error in Mean magnitude in y filter
mag
double
y_flags
y filter flags
int
n_detections
Number of detections
short
zone_id
Local zone index
int
obj_info_flag
Object information flags
int
quality_flag
Object quality flags
short
gaiadr2.gaia_source
This table has an entry for every Gaia observed source as listed in the
Main Database accumulating catalogue version from which the catalogue
release has been generated. It contains the basic source parameters,
that is only final data (no epoch data) and no spectra (neither final
nor epoch).
solution_id
Solution Identifier
meta.version
long
designation
Unique source designation (unique across all Data Releases)
meta.id;meta.main
char
source_id
Unique source identifier (unique within a particular Data Release)
meta.id
long
primary
random_index
Random index used to select subsets
meta.code
long
ref_epoch
Reference epoch
yr
meta.ref;time.epoch
double
ra
Right ascension
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
primary
ra_error
Standard error of right ascension
mas
stat.error;pos.eq.ra
double
primary
dec
Declination
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
primary
dec_error
Standard error of declination
mas
stat.error;pos.eq.dec
double
primary
parallax
Parallax
mas
pos.parallax
double
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax
double
primary
parallax_over_error
Parallax divided by its error
stat.snr;pos.parallax.trig
float
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
double
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
double
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
double
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
double
ra_dec_corr
Correlation between right ascension and declination
stat.correlation;pos.eq.ra;pos.eq.dec
float
ra_parallax_corr
Correlation between right ascension and parallax
stat.correlation;pos.eq.ra;pos.parallax
float
ra_pmra_corr
Correlation between right ascension and proper motion in right ascension
stat.correlation;pos.eq.ra;pos.pm;pos.eq.ra
float
ra_pmdec_corr
Correlation between right ascension and proper motion in declination
stat.correlation;pos.eq.ra;pos.pm;pos.eq.dec
float
dec_parallax_corr
Correlation between declination and parallax
stat.correlation;pos.eq.dec;pos.parallax
float
dec_pmra_corr
Correlation between declination and proper motion in right ascension
stat.correlation;pos.eq.dec;pos.pm;pos.eq.ra
float
dec_pmdec_corr
Correlation between declination and proper motion in declination
stat.correlation;pos.eq.dec;pos.pm;pos.eq.dec
float
parallax_pmra_corr
Correlation between parallax and proper motion in right ascension
stat.correlation;pos.parallax;pos.pm;pos.eq.ra
float
parallax_pmdec_corr
Correlation between parallax and proper motion in declination
stat.correlation;pos.parallax;pos.pm;pos.eq.dec
float
pmra_pmdec_corr
Correlation between proper motion in right ascension and proper motion in declination
stat.correlation;pos.pm;pos.eq.ra;pos.pm;pos.eq.dec
float
astrometric_n_obs_al
Total number of observations AL
meta.number
int
astrometric_n_obs_ac
Total number of observations AC
meta.number
int
astrometric_n_good_obs_al
Number of good observations AL
meta.number
int
astrometric_n_bad_obs_al
Number of bad observations AL
meta.number
int
astrometric_gof_al
Goodness of fit statistic of model wrt along-scan observations
stat.fit.goodness
float
astrometric_chi2_al
AL chi-square value
stat.fit.chi2
float
astrometric_excess_noise
Excess noise of the source
mas
stat.value
double
astrometric_excess_noise_sig
Significance of excess noise
stat.value
double
astrometric_params_solved
Which parameters have been solved for?
meta.number
short
astrometric_primary_flag
Primary or seconday
meta.code
boolean
astrometric_weight_al
Mean astrometric weight of the source
mas**-2
stat.weight;stat.mean
float
astrometric_pseudo_colour
Astrometrically determined pseudocolour of the source
um**-1
em.wavenumber
double
astrometric_pseudo_colour_error
Standard error of the pseudocolour of the source
um**-1
stat.error;em.wavenumber
double
mean_varpi_factor_al
Mean Parallax factor AL
arith.factor;pos.parallax
float
astrometric_matched_observations
Matched FOV transits used in the AGIS solution
meta.number
short
visibility_periods_used
Number of visibility periods used in Astrometric solution
meta.number
short
astrometric_sigma5d_max
The longest semi-major axis of the 5-d error ellipsoid
mas
stat;pos.errorEllipse
float
frame_rotator_object_type
The type of the source mainly used for frame rotation
meta.code
int
matched_observations
Amount of observations matched to this source
meta.number
short
duplicated_source
Source with duplicate sources
meta.code.status
boolean
phot_g_n_obs
Number of observations contributing to G photometry
meta.number
int
phot_g_mean_flux
G-band mean flux
'electron'.s**-1
phot.flux;stat.mean;em.opt
double
phot_g_mean_flux_error
Error on G-band mean flux
'electron'.s**-1
stat.error;phot.flux;stat.mean;em.opt
double
phot_g_mean_flux_over_error
G-band mean flux divided by its error
stat.error;phot.flux;em.opt
float
phot_g_mean_mag
G-band mean magnitude
mag
phot.mag;stat.mean;em.opt
float
primary
phot_bp_n_obs
Number of observations contributing to BP photometry
meta.number
int
phot_bp_mean_flux
Integrated BP mean flux
'electron'.s**-1
phot.flux;stat.mean
double
phot_bp_mean_flux_error
Error on the integrated BP mean flux
'electron'.s**-1
stat.error;phot.flux;stat.mean
double
phot_bp_mean_flux_over_error
Integrated BP mean flux divided by its error
stat.snr;phot.flux;em.opt.B
float
phot_bp_mean_mag
Integrated BP mean magnitude
mag
phot.mag;stat.mean
float
phot_rp_n_obs
Number of observations contributing to RP photometry
meta.number
int
phot_rp_mean_flux
Integrated RP mean flux
'electron'.s**-1
phot.flux;stat.mean
double
phot_rp_mean_flux_error
Error on the integrated RP mean flux
'electron'.s**-1
stat.error;phot.flux
double
phot_rp_mean_flux_over_error
Integrated RP mean flux divided by its error
stat.snr;phot.flux;em.opt.R
float
phot_rp_mean_mag
Integrated RP mean magnitude
mag
phot.mag;stat.mean
float
phot_bp_rp_excess_factor
BP/RP excess factor
float
phot_proc_mode
Photometry processing mode
short
bp_rp
BP - RP colour
mag
phot.color
float
primary
bp_g
BP - G colour
mag
phot.color
float
g_rp
G - RP colour
mag
phot.color
float
radial_velocity
Radial velocity
km.s**-1
spect.dopplerVeloc.opt
double
primary
radial_velocity_error
Radial velocity error
km.s**-1
stat.error;spect.dopplerVeloc.opt
double
primary
rv_nb_transits
Number of transits used to compute radial velocity
meta.number
int
rv_template_teff
Teff of the template used to compute radial velocity
K
stat.fit.param
float
rv_template_logg
logg of the template used to compute radial velocity
log(cm.s**-2)
stat.fit.param
float
rv_template_fe_h
Fe/H of the template used to compute radial velocity
'dex'
stat.fit.param
float
phot_variable_flag
Photometric variability flag
meta.code;src.var
char
primary
l
Galactic longitude
deg
pos.galactic.lon
double
b
Galactic latitude
deg
pos.galactic.lat
double
ecl_lon
Ecliptic longitude
deg
pos.ecliptic.lon
double
ecl_lat
Ecliptic latitude
deg
pos.ecliptic.lat
double
priam_flags
flags for the Apsis-Priam results
meta.code
long
teff_val
stellar effective temperature
K
phys.temperature.effective
float
primary
teff_percentile_lower
teffVal lower uncertainty
K
phys.temperature.effective;stat.min
float
teff_percentile_upper
teffVal upper uncertainty
K
phys.temperature.effective;stat.max
float
a_g_val
line-of-sight extinction in the G band, A_G)
mag
phys.absorption.gal
float
primary
a_g_percentile_lower
aGVal lower uncertainty
mag
phys.absorption.gal;stat.min
float
a_g_percentile_upper
aGVal upper uncertainty
mag
phys.absorption.gal;stat.max
float
e_bp_min_rp_val
line-of-sight reddening E(BP-RP)
mag
float
e_bp_min_rp_percentile_lower
eBPminRPVal lower uncertainty
mag
float
e_bp_min_rp_percentile_upper
eBPminRPVal upper uncertainty
mag
float
flame_flags
Flags for the Apsis-FLAME results
meta.code
long
radius_val
stellar radius
solRad
phys.size.radius
float
radius_percentile_lower
radiusVal lower uncertainty
solRad
stat.value;phys.size.radius
float
radius_percentile_upper
radiusVal upper uncertainty
solRad
stat.value;phys.size.radius
float
lum_val
stellar luminosity
solLum
phys.luminosity
float
lum_percentile_lower
lumVal lower uncertainty
solLum
stat.value;phys.luminosity
float
lum_percentile_upper
lumVal upper uncertainty
solLum
stat.value;phys.luminosity
float
datalink_url
datalink url
meta.ref.url
Access.reference
char
epoch_photometry_url
char
gaiadr2.ruwe
This table contains the Renormalised Unit Weight Error (RUWE) associated
to each source in gaia_source.
The RUWE is expected to be around 1.0 for sources where the single-star
model provides a good fit to the astrometric observations. A value
significantly greater than 1.0 (say, >1.4) could indicate that the
source is non-single or otherwise problematic for the astrometric
solution.
The desciption of how this parameter is calculated is described in the
document ”Re-normalising the astrometric chi-square in Gaia DR2”, which
can be downloaded from:
https://www.cosmos.esa.int/web/gaia/public-dpac-documents
source_id
Unique source identifier (unique within a particular Data Release)
meta.id
long
indexed
ruwe
Renormalised unit weight error
stat.error
float
indexed
gaiadr3
Gaia Data Release 3
gaiadr3.gaia_source
This table has an entry for every Gaia observed source as published with this data release. It contains the basic source parameters, in their final state as processed by the Gaia Data Processing and Analysis Consortium from the raw data coming from the spacecraft. The table is complemented with others containing information specific to certain kinds of objects (e.g.~Solar--system objects, non--single stars, variables etc.) and value--added processing (e.g.~astrophysical parameters etc.). Further array data types (spectra, epoch measurements) are presented separately via Datalink resources.
solution_id
Solution Identifier
meta.version
long
designation
Unique source designation (unique across all Data Releases)
meta.id;meta.main
char
indexed
primary
source_id
Unique source identifier (unique within a particular Data Release)
meta.id
long
indexed
primary
random_index
Random index for use when selecting subsets
meta.code
long
indexed
ref_epoch
Reference epoch
yr
meta.ref;time.epoch
stc:AstroCoords.Time.TimeInstant
double
ra
Right ascension
deg
pos.eq.ra;meta.main
stc:AstroCoords.Position3D.Value3.C1
double
indexed
primary
ra_error
Standard error of right ascension
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position3D.Error3.C1
float
dec
Declination
deg
pos.eq.dec;meta.main
stc:AstroCoords.Position3D.Value3.C2
double
indexed
primary
dec_error
Standard error of declination
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position3D.Error3.C2
float
parallax
Parallax
mas
pos.parallax.trig
double
indexed
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax.trig
float
indexed
parallax_over_error
Parallax divided by its standard error
stat.snr;pos.parallax.trig
float
indexed
pm
Total proper motion
mas.yr**-1
pos.pm;pos.eq
float
indexed
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Value3.C1
double
indexed
primary
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Error3.C1
float
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Value3.C2
double
indexed
primary
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Error3.C2
float
ra_dec_corr
Correlation between right ascension and declination
stat.correlation
float
ra_parallax_corr
Correlation between right ascension and parallax
stat.correlation
float
ra_pmra_corr
Correlation between right ascension and proper motion in right ascension
stat.correlation
float
ra_pmdec_corr
Correlation between right ascension and proper motion in declination
stat.correlation
float
dec_parallax_corr
Correlation between declination and parallax
stat.correlation
float
dec_pmra_corr
Correlation between declination and proper motion in right ascension
stat.correlation
float
dec_pmdec_corr
Correlation between declination and proper motion in declination
stat.correlation
float
parallax_pmra_corr
Correlation between parallax and proper motion in right ascension
stat.correlation
float
parallax_pmdec_corr
Correlation between parallax and proper motion in declination
stat.correlation
float
pmra_pmdec_corr
Correlation between proper motion in right ascension and proper motion in declination
stat.correlation
float
astrometric_n_obs_al
Total number of observations in the along-scan (AL) direction
meta.number
short
astrometric_n_obs_ac
Total number of observations in the across-scan (AC) direction
meta.number
short
astrometric_n_good_obs_al
Number of good observations in the along-scan (AL) direction
meta.number
short
astrometric_n_bad_obs_al
Number of bad observations in the along-scan (AL) direction
meta.number
short
astrometric_gof_al
Goodness of fit statistic of model wrt along-scan observations
stat.fit.goodness
float
astrometric_chi2_al
AL chi-square value
stat.fit.chi2
float
astrometric_excess_noise
Excess noise of the source
mas
stat.value
float
indexed
astrometric_excess_noise_sig
Significance of excess noise
stat.value
float
astrometric_params_solved
Which parameters have been solved for?
meta.number
short
indexed
astrometric_primary_flag
Primary or seconday
meta.code
boolean
nu_eff_used_in_astrometry
Effective wavenumber of the source used in the astrometric solution
um**-1
em.wavenumber
float
pseudocolour
Astrometrically estimated pseudocolour of the source
um**-1
em.wavenumber
float
indexed
pseudocolour_error
Standard error of the pseudocolour of the source
um**-1
stat.error;em.wavenumber
float
ra_pseudocolour_corr
Correlation between right ascension and pseudocolour
stat.correlation;em.wavenumber;pos.eq.ra
float
dec_pseudocolour_corr
Correlation between declination and pseudocolour
stat.correlation;em.wavenumber;pos.eq.dec
float
parallax_pseudocolour_corr
Correlation between parallax and pseudocolour
stat.correlation;em.wavenumber;pos.parallax
float
pmra_pseudocolour_corr
Correlation between proper motion in right asension and pseudocolour
stat.correlation;em.wavenumber;pos.pm;pos.eq.ra
float
pmdec_pseudocolour_corr
Correlation between proper motion in declination and pseudocolour
stat.correlation;em.wavenumber;pos.pm;pos.eq.dec
float
astrometric_matched_transits
Matched FOV transits used in the AGIS solution
meta.number
short
visibility_periods_used
Number of visibility periods used in Astrometric solution
meta.number
short
indexed
astrometric_sigma5d_max
The longest semi-major axis of the 5-d error ellipsoid
mas
stat;pos.errorEllipse
float
matched_transits
The number of transits matched to this source
meta.number
short
new_matched_transits
The number of transits newly incorporated into an existing source in the current cycle
meta.number
short
matched_transits_removed
The number of transits removed from an existing source in the current cycle
meta.number
short
ipd_gof_harmonic_amplitude
Amplitude of the IPD GoF versus position angle of scan
stat.value
float
ipd_gof_harmonic_phase
Phase of the IPD GoF versus position angle of scan
deg
pos.posAng;stat.value
float
ipd_frac_multi_peak
Percent of successful-IPD windows with more than one peak
stat.value
short
indexed
ipd_frac_odd_win
Percent of transits with truncated windows or multiple gate
stat.value
short
indexed
ruwe
Renormalised unit weight error
stat.error
float
indexed
primary
scan_direction_strength_k1
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k2
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k3
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k4
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_mean_k1
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k2
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k3
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k4
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
duplicated_source
Source with multiple source identifiers
meta.code.status
boolean
phot_g_n_obs
Number of observations contributing to G photometry
meta.number
short
indexed
phot_g_mean_flux
G-band mean flux
'electron'.s**-1
phot.flux;em.opt
double
phot_g_mean_flux_error
Error on G-band mean flux
'electron'.s**-1
stat.error;phot.flux;em.opt
float
phot_g_mean_flux_over_error
G-band mean flux divided by its error
stat.snr;phot.flux;em.opt
float
indexed
phot_g_mean_mag
G-band mean magnitude
mag
phot.mag;em.opt
float
indexed
primary
phot_bp_n_obs
Number of observations contributing to BP photometry
meta.number
short
indexed
phot_bp_mean_flux
Integrated BP mean flux
'electron'.s**-1
phot.flux;em.opt.B
double
phot_bp_mean_flux_error
Error on the integrated BP mean flux
'electron'.s**-1
stat.error;phot.flux;em.opt.B
float
phot_bp_mean_flux_over_error
Integrated BP mean flux divided by its error
stat.snr;phot.flux;em.opt.B
float
indexed
phot_bp_mean_mag
Integrated BP mean magnitude
mag
phot.mag;em.opt.B
float
indexed
phot_rp_n_obs
Number of observations contributing to RP photometry
meta.number
short
indexed
phot_rp_mean_flux
Integrated RP mean flux
'electron'.s**-1
phot.flux;em.opt.R
double
phot_rp_mean_flux_error
Error on the integrated RP mean flux
'electron'.s**-1
stat.error;phot.flux;em.opt.R
float
phot_rp_mean_flux_over_error
Integrated RP mean flux divided by its error
stat.snr;phot.flux;em.opt.R
float
indexed
phot_rp_mean_mag
Integrated RP mean magnitude
mag
phot.mag;em.opt.R
float
indexed
phot_bp_rp_excess_factor
BP/RP excess factor
arith.factor;phot.flux;em.opt
float
indexed
phot_bp_n_contaminated_transits
Number of BP contaminated transits
meta.number
short
indexed
phot_bp_n_blended_transits
Number of BP blended transits
meta.number
short
indexed
phot_rp_n_contaminated_transits
Number of RP contaminated transits
meta.number
short
indexed
phot_rp_n_blended_transits
Number of RP blended transits
meta.number
short
indexed
phot_proc_mode
Photometry processing mode
meta.code
short
bp_rp
BP - RP colour
mag
phot.color;em.opt.B;em.opt.R
float
indexed
primary
bp_g
BP - G colour
mag
phot.color;em.opt.B;em.opt
float
indexed
g_rp
G - RP colour
mag
phot.color;em.opt;em.opt.R
float
indexed
radial_velocity
Radial velocity
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
stc:AstroCoords.Velocity3D.Value3.C3
float
indexed
primary
radial_velocity_error
Radial velocity error
km.s**-1
stat.error;spect.dopplerVeloc.opt;em.opt.I
stc:AstroCoords.Velocity3D.Error3.C3
float
indexed
rv_method_used
Method used to obtain the radial velocity
meta.code.class
short
rv_nb_transits
Number of transits used to compute the radial velocity
meta.number
short
indexed
rv_nb_deblended_transits
Number of valid transits that have undergone deblending
meta.number
short
rv_visibility_periods_used
Number of visibility periods used to estimate the radial velocity
meta.number
short
rv_expected_sig_to_noise
Expected signal to noise ratio in the combination of the spectra used to obtain the radial velocity
stat.snr
float
indexed
rv_renormalised_gof
Radial velocity renormalised goodness of fit
stat.fit.goodness
float
indexed
rv_chisq_pvalue
P-value for constancy based on a chi-squared criterion
stat.fit.param
float
indexed
rv_time_duration
Time coverage of the radial velocity time series
d
time.duration
float
rv_amplitude_robust
Total amplitude in the radial velocity time series after outlier removal
km.s**-1
stat.error;spect.dopplerVeloc.opt;em.opt.I
float
indexed
rv_template_teff
Teff of the template used to compute the radial velocity
K
stat.fit.param
float
rv_template_logg
Logg of the template used to compute the radial velocity
log(cm.s**-2)
stat.fit.param
float
rv_template_fe_h
[Fe/H] of the template used to compute the radial velocityy
'dex'
stat.fit.param
float
rv_atm_param_origin
Origin of the atmospheric parameters associated to the template
meta.code.class
short
vbroad
Spectral line broadening parameter
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
stc:AstroCoords.Velocity3D.Value3.C3
float
indexed
vbroad_error
Uncertainty on the spectral line broadening
km.s**-1
stat.error;spect.dopplerVeloc.opt;em.opt.I
stc:AstroCoords.Velocity3D.Error3.C3
float
vbroad_nb_transits
Number of transits used to compute vbroad
meta.number
short
grvs_mag
Integrated Grvs magnitude
mag
phot.mag;em.opt
stc:AstroCoords.Velocity3D.Value3.C3
float
indexed
grvs_mag_error
Grvs magnitude uncertainty
mag
stat.error;phot.mag;em.opt
stc:AstroCoords.Velocity3D.Error3.C3
float
grvs_mag_nb_transits
Number of transits used to compute Grvs
meta.number
short
rvs_spec_sig_to_noise
Signal to noise ratio in the mean RVS spectrum
stat.snr
float
phot_variable_flag
Photometric variability flag
meta.code;src.var
char
indexed
primary
l
Galactic longitude
deg
pos.galactic.lon
stc:AstroCoords.Position2D.Value2.C1
double
indexed
b
Galactic latitude
deg
pos.galactic.lat
stc:AstroCoords.Position2D.Value2.C2
double
indexed
ecl_lon
Ecliptic longitude
deg
pos.ecliptic.lon
stc:AstroCoords.Position2D.Value2.C1
double
indexed
ecl_lat
Ecliptic latitude
deg
pos.ecliptic.lat
stc:AstroCoords.Position2D.Value2.C2
double
indexed
in_qso_candidates
Flag indicating the availability of additional information in the QSO candidates table
meta.code.status
boolean
indexed
in_galaxy_candidates
Flag indicating the availability of additional information in the galaxy candidates table
meta.code.status
boolean
indexed
non_single_star
Flag indicating the availability of additional information in the various Non-Single Star tables
meta.code.status
short
indexed
primary
has_xp_continuous
Flag indicating the availability of mean BP/RP spectrum in continuous representation for this source
meta.code.status
boolean
indexed
primary
has_xp_sampled
Flag indicating the availability of mean BP/RP spectrum in sampled form for this source
meta.code.status
boolean
indexed
primary
has_rvs
Flag indicating the availability of mean RVS spectrum for this source
meta.code.status
boolean
indexed
primary
has_epoch_photometry
Flag indicating the availability of epoch photometry for this source
meta.code.status
boolean
indexed
primary
has_epoch_rv
Flag indicating the availability of epoch radial velocity for this source
meta.code.status
boolean
indexed
primary
has_mcmc_gspphot
Flag indicating the availability of GSP-Phot MCMC samples for this source
meta.code.status
boolean
indexed
primary
has_mcmc_msc
Flag indicating the availability of MSC MCMC samples for this source
meta.code.status
boolean
indexed
primary
in_andromeda_survey
Flag indicating that the source is present in the Gaia Andromeda Photometric Survey (GAPS)
meta.code.status
boolean
indexed
classprob_dsc_combmod_quasar
Probability from DSC-Combmod of being a quasar (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_combmod_galaxy
Probability from DSC-Combmod of being a galaxy (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_combmod_star
Probability from DSC-Combmod of being a single star (but not a white dwarf) (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
teff_gspphot
Effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
phys.temperature.effective
float
indexed
primary
teff_gspphot_lower
Lower confidence level (16%) of effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
phys.temperature.effective;stat.min
float
teff_gspphot_upper
Upper confidence level (84%) of effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
phys.temperature.effective;stat.max
float
logg_gspphot
Surface gravity from GSP-Phot Aeneas best library using BP/RP spectra
log(cm.s**-2)
phys.gravity
float
indexed
primary
logg_gspphot_lower
Lower confidence level (16%) of surface gravity from GSP-Phot Aeneas best library using BP/RP spectra
log(cm.s**-2)
phys.gravity;stat.min
float
logg_gspphot_upper
Upper confidence level (84%) of surface gravity from GSP-Phot Aeneas best library using BP/RP spectra
log(cm.s**-2)
phys.gravity;stat.max
float
mh_gspphot
Iron abundance from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
phys.abund.Z
float
indexed
primary
mh_gspphot_lower
Lower confidence level (16%) of iron abundance from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
phys.abund.Z;stat.min
float
mh_gspphot_upper
Upper confidence level (84%) of iron abundance from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
phys.abund.Z;stat.max
float
distance_gspphot
Distance from GSP-Phot Aeneas best library using BP/RP spectra
pc
pos.distance;pos.eq
float
indexed
primary
distance_gspphot_lower
Lower confidence level (16%) of distance from GSP-Phot Aeneas best library using BP/RP spectra
pc
pos.distance;pos.eq
float
distance_gspphot_upper
Upper confidence level (84%) of distance from GSP-Phot Aeneas best library using BP/RP spectra
pc
pos.distance;pos.eq
float
azero_gspphot
Monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
primary
azero_gspphot_lower
Lower confidence level (16%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
azero_gspphot_upper
Upper confidence level (84%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
ag_gspphot
Extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
primary
ag_gspphot_lower
Lower confidence level (16%) of extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
ag_gspphot_upper
Upper confidence level (84%) of extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
ebpminrp_gspphot
Reddening $E(G_{\rm BP} - G_{\rm RP})$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
phot.color.excess
float
indexed
primary
ebpminrp_gspphot_lower
Lower confidence level (16%) of reddening $E(G_{\rm BP} - G_{\rm RP})$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
phot.color.excess;stat.min
float
ebpminrp_gspphot_upper
Upper confidence level (84%) of reddening $E(G_{\rm BP} - G_{\rm RP})$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
phot.color.excess;stat.max
float
libname_gspphot
Name of library that achieves the highest mean log-posterior in MCMC samples and was used to derive GSP-Phot parameters in this table
meta.note
char
indexed
gaiadr3.gaia_source_lite
This is a column-wise subset of the gaia_source table named gaia_source_lite. This table has an entry for every Gaia observed source as published with this data release. It contains the basic source parameters, in their final state as processed by the Gaia Data Processing and Analysis Consortium from the raw data coming from the spacecraft. The table is complemented with others containing information specific to certain kinds of objects (e.g.~Solar--system objects, non--single stars, variables etc.) and value--added processing (e.g.~astrophysical parameters etc.). Further array data types (spectra, epoch measurements) are presented separately via Datalink resources.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id
long
indexed
primary
random_index
Random index for use when selecting subsets
meta.code
long
indexed
ra
Right ascension
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
Declination
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
parallax
Parallax
mas
pos.parallax.trig
double
indexed
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax.trig
float
indexed
parallax_over_error
Parallax divided by its standard error
stat.snr;pos.parallax.trig
float
indexed
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
double
indexed
primary
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
float
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
double
indexed
primary
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
float
astrometric_params_solved
Which parameters have been solved for?
meta.number
short
pseudocolour
Astrometrically estimated pseudocolour of the source
um**-1
em.wavenumber
float
indexed
pseudocolour_error
Standard error of the pseudocolour of the source
um**-1
stat.error;em.wavenumber
float
ipd_frac_multi_peak
Percent of successful-IPD windows with more than one peak
stat.value
short
indexed
ipd_frac_odd_win
Percent of transits with truncated windows or multiple gate
stat.value
short
indexed
ruwe
Renormalised unit weight error
stat.error
float
indexed
primary
phot_g_mean_flux_over_error
G-band mean flux divided by its error
stat.snr;phot.flux;em.opt
float
indexed
phot_g_mean_mag
G-band mean magnitude
mag
phot.mag;em.opt
float
indexed
primary
phot_bp_mean_flux_over_error
Integrated BP mean flux divided by its error
stat.snr;phot.flux;em.opt.B
float
indexed
phot_bp_mean_mag
Integrated BP mean magnitude
mag
phot.mag;em.opt.B
float
indexed
phot_rp_mean_flux_over_error
Integrated RP mean flux divided by its error
stat.snr;phot.flux;em.opt.R
float
indexed
phot_rp_mean_mag
Integrated RP mean magnitude
mag
phot.mag;em.opt.R
float
indexed
phot_bp_rp_excess_factor
BP/RP excess factor
arith.factor;phot.flux;em.opt
float
indexed
bp_rp
BP - RP colour
mag
phot.color;em.opt.B;em.opt.R
float
indexed
primary
radial_velocity
Radial velocity
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
float
indexed
primary
radial_velocity_error
Radial velocity error
km.s**-1
stat.error;spect.dopplerVeloc.opt;em.opt.I
float
indexed
rv_nb_transits
Number of transits used to compute the radial velocity
meta.number
short
indexed
rv_expected_sig_to_noise
Expected signal to noise ratio in the combination of the spectra used to obtain the radial velocity
stat.snr
float
indexed
rv_renormalised_gof
Radial velocity renormalised goodness of fit
stat.fit.goodness
float
indexed
rv_chisq_pvalue
P-value for constancy based on a chi-squared criterion
stat.fit.param
float
indexed
phot_variable_flag
Photometric variability flag
meta.code;src.var
char
indexed
primary
l
Galactic longitude
deg
pos.galactic.lon
double
indexed
b
Galactic latitude
deg
pos.galactic.lat
double
indexed
in_qso_candidates
Flag indicating the availability of additional information in the QsoCandidates table
meta.code.status
boolean
indexed
in_galaxy_candidates
Flag indicating the availability of additional information in the GalaxyCandidates table
meta.code.status
boolean
indexed
non_single_star
Flag indicating the availability of additional information in the various Non-Single Star tables
meta.code.status
short
indexed
primary
has_xp_continuous
Flag indicating the availability of mean BP/RP spectrum in continuous representation for this source
meta.code.status
boolean
indexed
primary
has_xp_sampled
Flag indicating the availability of mean BP/RP spectrum in sampled form for this source
meta.code.status
boolean
indexed
primary
has_rvs
Flag indicating the availability of mean RVS spectrum for this source
meta.code.status
boolean
indexed
primary
has_epoch_photometry
Flag indicating the availability of epoch photometry for this source
meta.code.status
boolean
indexed
primary
has_epoch_rv
Flag indicating the availability of epoch radial velocity for this source
meta.code.status
boolean
indexed
primary
has_mcmc_gspphot
Flag indicating the availability of GSP-Phot MCMC samples for this source
meta.code.status
boolean
indexed
primary
has_mcmc_msc
Flag indicating the availability of MSC MCMC samples for this source
meta.code.status
boolean
indexed
primary
in_andromeda_survey
Flag indicating that the source is present in the Gaia Andromeda Photometric Survey (GAPS)
meta.code.status
boolean
indexed
teff_gspphot
Effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
phys.temperature.effective
float
indexed
primary
logg_gspphot
Surface gravity from GSP-Phot Aeneas best library using BP/RP,spectra
log(cm.s**-2)
phys.gravity
float
primary
mh_gspphot
Iron abundance from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
phys.abund.Z
float
indexed
primary
distance_gspphot
Distance from GSP-Phot Aeneas best library using BP/RP spectra
pc
pos.distance;pos.eq
float
indexed
primary
ag_gspphot
Extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
primary
ebpminrp_gspphot
Reddening $E(G_{\rm BP} - G_{\rm RP})$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
phot.color.excess
float
indexed
primary
gaiadr3.astrophysical_parameters
This is the main table containing the 1D astrophysical parameters produced by the Apsis processing chain developed in Gaia DPAC CU8 (see Chapter~\ref{chap:cu8par}). Additional parameters can be found in table {\tt AstrophysicalParametersSupp}.
solution_id
Solution Identifier
meta.version
long
source_id
Source Identifier
meta.id;meta.main
long
indexed
classprob_dsc_combmod_quasar
Probability from DSC-Combmod of being a quasar (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_combmod_galaxy
Probability from DSC-Combmod of being a galaxy (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_combmod_star
Probability from DSC-Combmod of being a single star (but not a white dwarf) (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_combmod_whitedwarf
Probability from DSC-Combmod of being a white dwarf (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
classprob_dsc_combmod_binarystar
Probability from DSC-Combmod of being a binary star (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
classprob_dsc_specmod_quasar
Probability from DSC-Specmod of being a quasar (data used: BP/RP spectrum)
stat.probability
float
indexed
classprob_dsc_specmod_galaxy
Probability from DSC-Specmod of being a galaxy (data used: BP/RP spectrum)
stat.probability
float
indexed
classprob_dsc_specmod_star
Probability from DSC-Specmod of being a single star (but not a white dwarf) (data used: BP/RP spectrum)
stat.probability
float
indexed
classprob_dsc_specmod_whitedwarf
Probability from DSC-Specmod of being a white dwarf (data used: BP/RP spectrum)
stat.probability
float
classprob_dsc_specmod_binarystar
Probability from DSC-Specmod of being a binary star (data used: BP/RP spectrum)
stat.probability
float
classprob_dsc_allosmod_quasar
Probability from DSC-Allosmod of being a quasar (data used: photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_allosmod_galaxy
Probability from DSC-Allosmod of being a galaxy (data used: photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_allosmod_star
Probability from DSC-Allosmod of being a star (data used: photometry, astrometry)
stat.probability
float
indexed
teff_gspphot
Effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
phys.temperature.effective
float
indexed
teff_gspphot_lower
Lower confidence level (16%) of effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
teff_gspphot_upper
Upper confidence level (84%) of effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
logg_gspphot
Surface gravity from GSP-Phot Aeneas best library using BP/RP spectra
log(cm.s**-2)
phys.gravity
float
indexed
logg_gspphot_lower
Lower confidence level (16%) of surface gravity from GSP-Phot Aeneas best library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
logg_gspphot_upper
Upper confidence level (84%) of surface gravity from GSP-Phot Aeneas best library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
mh_gspphot
Iron abundance from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
phys.abund.Fe
float
indexed
mh_gspphot_lower
Lower confidence level (16%) of iron abundance from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
mh_gspphot_upper
Upper confidence level (84%) of iron abundance from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
distance_gspphot
Distance from GSP-Phot Aeneas best library using BP/RP spectra
pc
pos.distance
float
indexed
distance_gspphot_lower
Lower confidence level (16%) of distance from GSP-Phot Aeneas best library using BP/RP spectra
pc
stat.value;pos.distance
float
distance_gspphot_upper
Upper confidence level (84%) of distance from GSP-Phot Aeneas best library using BP/RP spectra
pc
stat.value;pos.distance
float
azero_gspphot
Monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt.V
float
indexed
azero_gspphot_lower
Lower confidence level (16%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
azero_gspphot_upper
Upper confidence level (84%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
ag_gspphot
Extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
ag_gspphot_lower
Lower confidence level (16%) of extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
ag_gspphot_upper
Upper confidence level (84%) of extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
abp_gspphot
Extinction in $G_{\rm BP}$ band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt.B
float
abp_gspphot_lower
Lower confidence level (16%) of extinction in $G_{\rm BP}$ band from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
abp_gspphot_upper
Upper confidence level (84%) of extinction in $G_{\rm BP}$ band from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
arp_gspphot
Extinction in $G_{\rm RP}$ band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt.R
float
arp_gspphot_lower
Lower confidence level (16%) of extinction in $G_{\rm RP}$ band from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
arp_gspphot_upper
Upper confidence level (84%) of extinction in $G_{\rm RP}$ band from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
ebpminrp_gspphot
Reddening $E(G_{\rm BP} - G_{\rm RP})$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
phot.color.excess;em.opt
float
indexed
ebpminrp_gspphot_lower
Lower confidence level (16%) of reddening $E(G_{\rm BP} - G_{\rm RP})$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
ebpminrp_gspphot_upper
Upper confidence level (84%) of reddening $E(G_{\rm BP} - G_{\rm RP})$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
mg_gspphot
Absolute magnitude $M_{\rm G}$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.magAbs;em.opt
float
indexed
mg_gspphot_lower
Lower confidence level (16%) of absolute magnitude $M_{\rm G}$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
mg_gspphot_upper
Upper confidence level (84%) of absolute magnitude $M_{\rm G}$ from GSP-Phot Aeneas best library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
radius_gspphot
Radius from GSP-Phot Aeneas best library using BP/RP spectra
solRad
phys.size.radius
float
radius_gspphot_lower
Lower confidence level (16%) of radius from GSP-Phot Aeneas best library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
radius_gspphot_upper
Upper confidence level (84%) of radius from GSP-Phot Aeneas best library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
logposterior_gspphot
Goodness-of-fit score (mean log-posterior of MCMC) of GSP-Phot Aeneas MCMC best library
stat.fit.goodness
float
mcmcaccept_gspphot
MCMC acceptance rate of GSP-Phot Aeneas MCMC best library
stat.value
float
libname_gspphot
Name of library that achieves the highest mean log-posterior in MCMC samples and was used to derive GSP-Phot parameters in this table
meta.record
char
indexed
teff_gspspec
Effective temperature from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
K
phys.temperature.effective;stat.median
float
indexed
teff_gspspec_lower
16th percentile of effective temperature from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
K
stat.value;phys.temperature.effective
float
teff_gspspec_upper
84th percentile of effective temperature from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
K
stat.value;phys.temperature.effective
float
logg_gspspec
Logarithm of the stellar surface gravity from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
log(cm.s**-2)
phys.gravity;stat.median
float
indexed
logg_gspspec_lower
16th percentile of the logarithm of the stellar surface gravity from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
log(cm.s**-2)
stat.value;phys.gravity
float
logg_gspspec_upper
84th percentile of the logarithm of the stellar surface gravity from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
log(cm.s**-2)
stat.value;phys.gravity
float
mh_gspspec
Global metallicity [M/H] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
phys.abund.Fe;stat.median
float
indexed
mh_gspspec_lower
16th percentile of global metallicity [M/H] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Fe
float
mh_gspspec_upper
84th percentile of global metallicity [M/H] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Fe
float
alphafe_gspspec
Abundance of alpha-elements [alpha/Fe] with respect to iron from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
phys.abund;stat.median
float
indexed
alphafe_gspspec_lower
16th percentile of the abundance of alpha-elements [alpha/Fe] with respect to iron from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund
float
alphafe_gspspec_upper
84th percentile of the abundance of alpha-elements [alpha/Fe] with respect to iron from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund
float
fem_gspspec
Abundance of neutral iron [Fe/M] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt femGspspecNlines}
'dex'
phys.abund.Fe;stat.median
float
indexed
fem_gspspec_lower
16th percentile of the abundance of neutral iron [Fe/M] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Fe
float
fem_gspspec_upper
84th percentile of the abundance of neutral iron [Fe/M] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Fe
float
fem_gspspec_nlines
Number of lines used for [Fe/M] abundance estimation
meta.number
int
fem_gspspec_linescatter
Uncertainty estimation of [Fe/M] abundance using N lines of the element, given in {\tt femGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
sife_gspspec
Abundance of Silicon [Si/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt sifeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
indexed
sife_gspspec_lower
16th percentile of the abundance of silicon [Si/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
sife_gspspec_upper
84th percentile of the abundance of silicon [Si/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
sife_gspspec_nlines
Number of lines used for [Si/Fe] abundance estimation
meta.number
int
sife_gspspec_linescatter
Uncertainty estimation of [Si/Fe] abundance using N lines of the element, given in {\tt sifeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
cafe_gspspec
Abundance of Calcium [Ca/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt cafeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
indexed
cafe_gspspec_lower
16th percentile of the abundance of Calcium [Ca/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
cafe_gspspec_upper
84th percentile of the abundance of Calcium [Ca/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
cafe_gspspec_nlines
Number of lines used for [Ca/Fe] abundance estimation
meta.number
int
cafe_gspspec_linescatter
Uncertainty estimation of [Ca/Fe] abundance using N lines of the element, given in {\tt cafeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
tife_gspspec
Abundance of Titanium [Ti/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt tifeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
indexed
tife_gspspec_lower
16th percentile of the abundance of Titanium [Ti/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
tife_gspspec_upper
84th percentile of the abundance of Titanium [Ti/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
tife_gspspec_nlines
Number of lines used for [Ti/Fe] abundance estimation
meta.number
int
tife_gspspec_linescatter
Uncertainty estimation of [Ti/Fe] abundance using N lines of the element, given in {\tt tifeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
mgfe_gspspec
Abundance of Magnesium [Mg/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt mgfeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
indexed
mgfe_gspspec_lower
16th percentile of the abundance of Magnesium [Mg/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
mgfe_gspspec_upper
84th percentile of the abundance of Magnesium [Mg/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
mgfe_gspspec_nlines
Number of lines used for [Mg/Fe] abundance estimation
meta.number
int
mgfe_gspspec_linescatter
Uncertainty estimation of [Mg/Fe] abundance using N lines of the element, given in {\tt mgfeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
ndfe_gspspec
Abundance of neodymium [Nd/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt ndfeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
ndfe_gspspec_lower
16th percentile of the abundance of neodymium [Nd/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
ndfe_gspspec_upper
84th percentile of the abundance of neodymium [Nd/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
ndfe_gspspec_nlines
Number of lines used for [Nd/Fe] abundance estimation
meta.number
int
ndfe_gspspec_linescatter
Uncertainty estimation of [Nd/Fe] abundance using N lines of the element, given in {\tt ndfeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
feiim_gspspec
Abundance of ionised iron [FeII/M] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt feiimGspspecNlines}
'dex'
phys.abund.Fe;stat.median
float
indexed
feiim_gspspec_lower
16th percentile of the abundance of ionised iron [FeII/M] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Fe
float
feiim_gspspec_upper
84th percentile of the abundance of ionised iron [FeII/M] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Fe
float
feiim_gspspec_nlines
Number of lines used for [FeII/M] abundance estimation
meta.number
int
feiim_gspspec_linescatter
Uncertainty estimation of [FeII/M] abundance using N lines of the element, given in {\tt feiimGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
sfe_gspspec
Abundance of Sulphur [S/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt sfeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
sfe_gspspec_lower
16th percentile of the abundance of Sulphur [S/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
sfe_gspspec_upper
84th percentile of the abundance of Sulphur [S/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
sfe_gspspec_nlines
Number of lines used for [S/Fe] abundance estimation
meta.number
int
sfe_gspspec_linescatter
Uncertainty estimation of [S/Fe] abundance using N lines of the element, given in {\tt sfeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
zrfe_gspspec
Abundance of Zirconium [Zr/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt zrfeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
zrfe_gspspec_lower
16th percentile of the abundance of Zirconium [Zr/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
zrfe_gspspec_upper
84th percentile of the abundance of Zirconium [Zr/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
zrfe_gspspec_nlines
Number of lines used for [Zr/Fe] abundance estimation
meta.number
int
zrfe_gspspec_linescatter
Uncertainty estimation of [Zr/Fe] abundance using N lines of the element, given in {\tt zrfeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
nfe_gspspec
Abundance of Nitrogen [N/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt nfeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
nfe_gspspec_lower
16th percentile of the abundance of Nitrogen [N/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
nfe_gspspec_upper
84th percentile of the abundance of Nitrogen [N/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
nfe_gspspec_nlines
Number of lines used for [N/Fe] abundance estimation
meta.number
int
nfe_gspspec_linescatter
Uncertainty estimation of [N/Fe] abundance using N lines of the element, given in {\tt nfeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
crfe_gspspec
Abundance of Chromium [Cr/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt crfeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
crfe_gspspec_lower
16th percentile of the abundance of Chromium [Cr/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
crfe_gspspec_upper
84th percentile of the abundance of Chromium [Cr/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
crfe_gspspec_nlines
Number of lines used for [Cr/Fe] abundance estimation
meta.record
int
crfe_gspspec_linescatter
Uncertainty estimation of [Cr/Fe] abundance using N lines of the element, given in {\tt crfeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
cefe_gspspec
Abundance of Cerium [Ce/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt cefeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
cefe_gspspec_lower
16th percentile of the abundance of Cerium [Ce/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
cefe_gspspec_upper
84th percentile of the abundance of Cerium [Ce/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
cefe_gspspec_nlines
Number of lines used for [Ce/Fe] abundance estimation
meta.number
int
cefe_gspspec_linescatter
Uncertainty estimation of [Ce/Fe] abundance using N lines of the element, given in {\tt cefeGspspecNlines}
'dex'
stat.error;phys.abund.Z
float
nife_gspspec
Abundance of Nickel [Ni/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations, applied to the individual N lines of the element, given in {\tt nifeGspspecNlines}
'dex'
phys.abund.Z;stat.median
float
nife_gspspec_lower
16th percentile of the abundance of Nickel [Ni/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
nife_gspspec_upper
84th percentile of the abundance of Nickel [Ni/Fe] from GSP-Spec MatisseGauguin using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund.Z
float
nife_gspspec_nlines
Number of lines used for [Ni/Fe] abundance estimation
meta.number
int
nife_gspspec_linescatter
Uncertainty estimation of [Ni/Fe] abundance using N lines of the element, given in {\tt nifeGspspecNlines}
'dex'
stat.value;phys.abund.Z
float
cn0ew_gspspec
Equivalent witdh of cyanogen absorption line, derived from RVS spectra
nm
spect.line.eqWidth
float
cn0ew_gspspec_uncertainty
Uncertainty of equivalent witdh of cyanogen absorption line, derived from RVS spectra
nm
stat.error;spect.line.eqWidth
float
cn0_gspspec_centralline
Central wavelength of cyanogen line, derived from RVS spectra using DIB algorithm
nm
spect.line.eqWidth
float
cn0_gspspec_width
Width of cyoanogen line, derived from RVS spectra using DIB algorithm
nm
stat.error;spect.line.eqWidth
float
dib_gspspec_lambda
DIB central wavelength from GSP-Spec MatisseGauguin using RVS spectra
nm
em.wl.central
float
dib_gspspec_lambda_uncertainty
Uncertainty on DIB central wavelength from GSP-Spec MatisseGauguin using RVS spectra
nm
stat.error;em.wl.central
float
dibew_gspspec
Equivalent width of the DIB from GSP-Spec MatisseGauguin using RVS spectra
angstrom
spect.line.eqWidth
float
dibew_gspspec_uncertainty
Global uncertainty on DIB equivalent width value using DIB algorithm
angstrom
stat.value;spect.line.eqWidth
float
dibewnoise_gspspec_uncertainty
Uncertainty on DIB equivalent width value occuring from noise part
angstrom
stat.value;spect.line.eqWidth
float
dibp0_gspspec
Depth ($p_0$ parameter) of the DIB derived from a Gaussian model fit
stat.fit.param
float
dibp2_gspspec
Width ($p_2$ parameter) of the DIB derived from a Gaussian model fit
angstrom
stat.fit.param
float
dibp2_gspspec_uncertainty
Uncertainty on the {\tt dibp2Gspspec} parameter
angstrom
stat.fit.param
float
dibqf_gspspec
Quality flag of the DIB computation
meta.code.qual
int
flags_gspspec
Catalogue flags for GSP-Spec MatisseGauguin
meta.code.status
char
indexed
logchisq_gspspec
Logarithm of the goodness-of-fit for the GSP-Spec MatisseGauguin parameters
stat.fit.chi2
float
ew_espels_halpha
Halpha pseudo-equivalent width from ESP-ELS
nm
spect.line.eqWidth
float
indexed
ew_espels_halpha_uncertainty
Uncertainty of the Halpha pseudo-equivalent width from ESP-ELS
nm
stat.error;spect.line.eqWidth
float
ew_espels_halpha_flag
Quality flag of the Halpha pseudo-equivalent width from ESP-ELS
meta.code.qual
char
ew_espels_halpha_model
Halpha pseudo-equivalent width from ESP-ELS measured on the synthetic spectrum
nm
spect.line.eqWidth
float
classlabel_espels
Adopted ELS class label from ESP-ELS
meta.code.class
char
indexed
classlabel_espels_flag
Quality flag of the adopted ELS class label from ESP-ELS
meta.code.class
char
classprob_espels_wcstar
Probability from ESP-ELS of being a Wolf-Rayet star of type WC
stat.probability
float
classprob_espels_wnstar
Probability from ESP-ELS of being a Wolf-Rayet star of type WN
stat.probability
float
classprob_espels_bestar
Probability from ESP-ELS of being a Be Star
stat.probability
float
classprob_espels_ttauristar
Probability from ESP-ELS of being a T Tauri Star
stat.probability
float
classprob_espels_herbigstar
Probability from ESP-ELS of being a Herbig Ae/Be Star
stat.probability
float
classprob_espels_dmestar
Probability from ESP-ELS of being an active M dwarf Star
stat.probability
float
classprob_espels_pne
Probability from ESP-ELS of being a planetary nebula
stat.probability
float
azero_esphs
Monochromatic interstellar extinction, A$_\mathrm{0}$, from ESP-HS
mag
phys.absorption;em.opt.V
float
azero_esphs_uncertainty
Uncertainty at a 68% confidence level on A$_\mathrm{0}$ from ESP-HS
mag
stat.error;phys.absorption;em.opt.V
float
ag_esphs
Intersterstellar extinction in G band from ESP-HS
mag
phys.absorption;em.opt
float
indexed
ag_esphs_uncertainty
Uncertainty on $A_{\rm G}$ from ESP-HS
mag
stat.error;phys.absorption;em.opt
float
ebpminrp_esphs
Reddening $E(G_{\rm BP} - G_{\rm RP})$ from ESP-HS
mag
phot.color.excess;em.opt
float
ebpminrp_esphs_uncertainty
Uncertainty on $E(G_{\rm BP} - G_{\rm RP})$ from ESP-HS
mag
stat.error;phot.color.excess;em.opt
float
teff_esphs
Effective temperature from ESP-HS
K
phys.temperature.effective
float
indexed
teff_esphs_uncertainty
Uncertainty at a 68% confidence level on the effective temperature from ESP-HS
K
stat.error;phys.temperature.effective
float
logg_esphs
Surface gravity from ESP-HS
log(cm.s**-2)
phys.gravity
float
indexed
logg_esphs_uncertainty
Uncertainty at a 68% confidence level on the surface gravity from ESP-HS
log(cm.s**-2)
stat.error;phys.gravity
float
vsini_esphs
Projected rotational velocity from ESP-HS
km.s**-1
phys.veloc.rotat
float
indexed
vsini_esphs_uncertainty
Uncertainty on the projected rotational velocity from ESP-HS
km.s**-1
stat.error;phys.veloc.rotat
float
flags_esphs
Quality flag of the ESP-HS parametrisation
meta.code.qual
char
spectraltype_esphs
Spectral type from ESP-ELS
src.spType
char
indexed
activityindex_espcs
Chromospheric activity index from ESP-CS, measured on the calcium triplet using RVS spectra
nm
spect.index
float
indexed
activityindex_espcs_uncertainty
Uncertainty in the chromospheric activity index from ESP-CS
nm
stat.error;spect.index
float
activityindex_espcs_input
Source of input stellar parameters for the computation of the activity index by ESP-CS
meta.code
char
teff_espucd
Effective temperature estimate from ESP-UCD based on the RP spectrum
K
phys.temperature.effective
float
indexed
teff_espucd_uncertainty
Uncertainty of the effective temperature estimate produced by ESP-UCD
K
stat.error;phys.temperature.effective
float
flags_espucd
Quality flags of the ESP-UCD parameter estimates
meta.code.status
char
radius_flame
Radius of the star from FLAME using {\tt teffGspphot} and {\tt lumFlame}
solRad
phys.size.radius
float
indexed
radius_flame_lower
Lower confidence level (16%) of {\tt radiusFlame}
solRad
stat.value;phys.size.radius
float
radius_flame_upper
Upper confidence level (84%) of {\tt radiusFlame}
solRad
stat.value;phys.size.radius
float
lum_flame
Luminosity of the star from FLAME using G band magnitude, extinction ({\tt agGspphot}), parallax or distance, and a bolometric correction {\tt bcFlame}
solLum
phys.luminosity
float
indexed
lum_flame_lower
Lower confidence level (16%) of {\tt lumFlame}
solLum
stat.value;phys.luminosity
float
lum_flame_upper
Upper confidence level (84%) of {\tt lumFlame}
solLum
stat.value;phys.luminosity
float
mass_flame
Mass of the star from FLAME using stellar models, {\tt lumFlame}, and {\tt teffGspphot}
solMass
phys.mass
float
indexed
mass_flame_lower
Lower confidence level (16%) of {\tt massFlame}
solMass
stat.value;phys.mass
float
mass_flame_upper
Upper confidence level (84%) of {\tt massFlame}
solMass
stat.value;phys.mass
float
age_flame
Age of the star from FLAME using stellar models, see {\tt massFlame} for details
Gyr
time.age
float
indexed
age_flame_lower
Lower confidence level (16%) of {\tt ageFlame}
Gyr
stat.value;time.age
float
age_flame_upper
Upper confidence level (84%) of {\tt ageFlame}
Gyr
stat.value;time.age
float
flags_flame
Flags indicating quality and processing information from FLAME
meta.code.qual
char
indexed
evolstage_flame
Evolutionary stage of the star from FLAME using stellar models, see {\tt massFlame} for details
src.class
int
indexed
gravredshift_flame
Gravitational redshift from FLAME using {\tt radiusFlame} and {\tt loggGspphot}
km.s**-1
src.redshift
float
indexed
gravredshift_flame_lower
Lower confidence level (16%) of {\tt gravredshiftFlame}
km.s**-1
stat.value;src.redshift
float
gravredshift_flame_upper
Upper confidence level (84%) of {\tt gravredshiftFlame}
km.s**-1
stat.value;src.redshift
float
bc_flame
Bolometric correction used to derive {\tt lumFlame}
mag
phot.mag.bc
float
mh_msc
Metallicity of the source treated as a binary system from MSC using BP/RP spectra and parallax
'dex'
phys.abund
float
indexed
mh_msc_upper
Upper confidence level (84%) of the metallicity from MSC using BP/RP spectra and parallax
'dex'
stat.value;phys.abund
float
mh_msc_lower
Lower confidence level (16%) of the metallicity from MSC using BP/RP spectra and parallax
'dex'
stat.value;phys.abund
float
azero_msc
Monochromatic extinction $A_0$ at 547.7nm of the source treated as a binary system from MSC using BP/RP spectra and parallax
mag
phys.absorption;em.opt.V
float
indexed
azero_msc_upper
Upper confidence level (84%) of monochromatic extinction $A_0$ at 547.7nm from MSC using BP/RP spectra and parallax
mag
stat.value;phys.absorption;em.opt.V
float
azero_msc_lower
Lower confidence level (16%) of monochromatic extinction $A_0$ at 547.7nm from MSC using BP/RP spectra and parallax
mag
stat.value;phys.absorption;em.opt.V
float
distance_msc
Distance from MSC using BP/RP spectra and parallax
pc
pos.distance
float
indexed
distance_msc_upper
Upper confidence level (84%) of distance from MSC using BP/RP spectra and parallax
pc
stat.value;pos.distance
float
distance_msc_lower
Lower confidence level (16%) of distance from MSC using BP/RP spectra and parallax
pc
stat.value;pos.distance
float
teff_msc1
Effective temperature of the primary from MSC using BP/RP spectra and parallax
K
phys.temperature.effective
float
indexed
teff_msc1_upper
Upper confidence level (84%) of effective temperature of the primary from MSC using BP/RP spectra and parallax
K
stat.value;phys.temperature.effective
float
teff_msc1_lower
Lower confidence level (16%) of effective temperature of the primary from MSC using BP/RP spectra and parallax
K
stat.value;phys.temperature.effective
float
teff_msc2
Effective temperature of the secondary from MSC using BP/RP spectra and parallax
K
phys.temperature.effective
float
indexed
teff_msc2_upper
Upper confidence level (84%) of effective temperature of the secondary from MSC using BP/RP spectra and parallax
K
stat.value;phys.temperature.effective
float
teff_msc2_lower
Lower confidence level (16%) of effective temperature of the secondary from MSC using BP/RP spectra and parallax
K
stat.value;phys.temperature.effective
float
logg_msc1
Surface gravity of the primary from MSC using BP/RP spectra and parallax
log(cm.s**-2)
phys.gravity
float
logg_msc1_upper
Upper confidence level (84%) of surface gravity of the primary from MSC using BP/RP spectra and parallax
log(cm.s**-2)
stat.value;phys.gravity
float
logg_msc1_lower
Lower confidence level (16%) of surface gravity of the primary from MSC using BP/RP spectra and parallax
log(cm.s**-2)
stat.value;phys.gravity
float
logg_msc2
Surface gravity of the secondary from MSC using BP/RP spectra and parallax
log(cm.s**-2)
phys.gravity
float
logg_msc2_upper
Upper confidence level (84%) of surface gravity of the secondary from MSC using BP/RP spectra and parallax
log(cm.s**-2)
stat.value;phys.gravity
float
logg_msc2_lower
Lower confidence level (16%) of surface gravity of the secondary from MSC using BP/RP spectra and parallax
log(cm.s**-2)
stat.value;phys.gravity
float
ag_msc
Extinction in G band of the source treated as a binary system from MSC using BP/RP spectra and parallax
mag
phys.absorption;em.opt
float
ag_msc_upper
Upper confidence level (84%) of extinction in G band from MSC using BP/RP spectra and parallax
mag
stat.value;phys.absorption
float
ag_msc_lower
Lower confidence level (16%) of extinction in G band from MSC using BP/RP spectra and parallax
mag
stat.value;phys.absorption
float
logposterior_msc
Goodness-of-fit score (normalised log-posterior) of MSC MCMC
stat.fit.goodness
float
mcmcaccept_msc
Mean MCMC acceptance rate of MSC MCMC
stat.fit.param
float
mcmcdrift_msc
Mean drift of the MSC MCMC chain in units of parameter standard deviation
stat.fit.param
float
flags_msc
Flag indicating quality information from MSC
meta.code.qual
char
neuron_oa_id
Identifier of the OA SOM map neuron that represents the source
stat.fit.param
long
indexed
neuron_oa_dist
Distance between the source XP spectra and the OA neuron XP prototype that represents the source
stat.fit.param
float
indexed
neuron_oa_dist_percentile_rank
Percentile rank according to the distance distribution of the OA neuron that represents the source
stat.fit.param
int
indexed
flags_oa
Flags indicating quality and processing information from OA
meta.code.qual
char
gaiadr3.astrophysical_parameters_supp
This table contains additional parameters from the Apsis processing chain, compared to the main table {\tt AstrophysicalParameters} (see Chapter~\ref{chap:cu8par}), from modules that produce more than one result for a parameter. It contains (1) the individual library results from GSP-Phot (see Section~\ref{ssec:cu8par_apsis_gspphot_method}), (2) FLAME results from processing GSP-Spec parameters given in the {\tt AstrophysicalParameters} table (see Section~\ref{ssec:cu8par_apsis_flame}), and (3) results from the GSP-Spec ANN algorithm (see Section~\ref{ssec:cu8par_apsis_gspspec}).
solution_id
Solution Identifier
meta.version
long
source_id
Source Identifier
meta.id;meta.main
long
indexed
libname_best_gspphot
Name of library that achieves the highest mean log-posterior in MCMC samples from GSP-Phot Aeneas
meta.record
char
teff_gspphot_marcs
Effective temperature from GSP-Phot Aeneas for MARCS library using BP/RP spectra
K
phys.temperature.effective
float
indexed
teff_gspphot_marcs_lower
Lower confidence level (16%) of effective temperature from GSP-Phot Aeneas for MARCS library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
teff_gspphot_marcs_upper
Upper confidence level (84%) of effective temperature from GSP-Phot Aeneas for MARCS library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
logg_gspphot_marcs
Surface gravity from GSP-Phot Aeneas for MARCS library using BP/RP spectra
log(cm.s**-2)
phys.gravity
float
indexed
logg_gspphot_marcs_lower
Lower confidence level (16%) of surface gravity from GSP-Phot Aeneas for MARCS library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
logg_gspphot_marcs_upper
Upper confidence level (84%) of surface gravity from GSP-Phot Aeneas for MARCS library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
mh_gspphot_marcs
Iron abundance from GSP-Phot Aeneas for MARCS library using BP/RP spectra
'dex'
phys.abund.Fe
float
indexed
mh_gspphot_marcs_lower
Lower confidence level (16%) of iron abundance from GSP-Phot Aeneas for MARCS library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
mh_gspphot_marcs_upper
Upper confidence level (84%) of iron abundance from GSP-Phot Aeneas for MARCS library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
distance_gspphot_marcs
Distance from GSP-Phot Aeneas for MARCS library using BP/RP spectra
pc
pos.distance
float
indexed
distance_gspphot_marcs_lower
Lower confidence level (16%) of distance from GSP-Phot Aeneas for MARCS library using BP/RP spectra
pc
stat.value;pos.distance
float
distance_gspphot_marcs_upper
Upper confidence level (84%) of distance from GSP-Phot Aeneas for MARCS library using BP/RP spectra
pc
stat.value;pos.distance
float
azero_gspphot_marcs
Monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
phys.absorption;em.opt.V
float
indexed
azero_gspphot_marcs_lower
Lower confidence level (16%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
azero_gspphot_marcs_upper
Upper confidence level (84%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
ag_gspphot_marcs
Extinction in G band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
ag_gspphot_marcs_lower
Lower confidence level (16%) of extinction in G band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
ag_gspphot_marcs_upper
Upper confidence level (84%) of extinction in G band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
abp_gspphot_marcs
Extinction in $G_{BP}$ band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
phys.absorption;em.opt.B
float
abp_gspphot_marcs_lower
Lower confidence level (16%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
abp_gspphot_marcs_upper
Upper confidence level (84%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
arp_gspphot_marcs
Extinction in $G_{RP}$ band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
phys.absorption;em.opt.R
float
arp_gspphot_marcs_lower
Lower confidence level (16%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
arp_gspphot_marcs_upper
Upper confidence level (84%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
ebpminrp_gspphot_marcs
Reddening $E(BP-RP)$ from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
phot.color.excess;em.opt
float
indexed
ebpminrp_gspphot_marcs_lower
Lower confidence level (16%) of reddening $E(BP-RP)$ from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
ebpminrp_gspphot_marcs_upper
Upper confidence level (84%) of reddening $E(BP-RP)$ from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
mg_gspphot_marcs
Absolute magnitude $M_G$ from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
phys.magAbs;em.opt
float
indexed
mg_gspphot_marcs_lower
Lower confidence level (16%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
mg_gspphot_marcs_upper
Upper confidence level (84%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for MARCS library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
radius_gspphot_marcs
Radius from GSP-Phot Aeneas for MARCS library using BP/RP spectra
solRad
phys.size.radius
float
radius_gspphot_marcs_lower
Lower confidence level (16%) of radius from GSP-Phot Aeneas for MARCS library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
radius_gspphot_marcs_upper
Upper confidence level (84%) of radius from GSP-Phot Aeneas for MARCS library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
logposterior_gspphot_marcs
Goodness-of-fit score (mean log-posterior of MCMC) of GSP-Phot Aeneas MCMC for MARCS library
stat.fit.goodness
float
mcmcaccept_gspphot_marcs
MCMC acceptance rate of GSP-Phot Aeneas MCMC for MARCS library
stat.fit.param
float
teff_gspphot_phoenix
Effective temperature from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
K
phys.temperature.effective
float
indexed
teff_gspphot_phoenix_lower
Lower confidence level (16%) of effective temperature from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
teff_gspphot_phoenix_upper
Upper confidence level (84%) of effective temperature from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
logg_gspphot_phoenix
Surface gravity from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
log(cm.s**-2)
phys.gravity
float
indexed
logg_gspphot_phoenix_lower
Lower confidence level (16%) of surface gravity from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
logg_gspphot_phoenix_upper
Upper confidence level (84%) of surface gravity from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
mh_gspphot_phoenix
Iron abundance from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
'dex'
phys.abund.Fe
float
indexed
mh_gspphot_phoenix_lower
Lower confidence level (16%) of iron abundance from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
mh_gspphot_phoenix_upper
Upper confidence level (84%) of iron abundance from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
distance_gspphot_phoenix
Distance from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
pc
pos.distance
float
indexed
distance_gspphot_phoenix_lower
Lower confidence level (16%) of distance from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
pc
stat.value;pos.distance
float
distance_gspphot_phoenix_upper
Upper confidence level (84%) of distance from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
pc
stat.value;pos.distance
float
azero_gspphot_phoenix
Monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
phys.absorption;em.opt.V
float
indexed
azero_gspphot_phoenix_lower
Lower confidence level (16%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
azero_gspphot_phoenix_upper
Upper confidence level (84%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
ag_gspphot_phoenix
Extinction in G band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
ag_gspphot_phoenix_lower
Lower confidence level (16%) of extinction in G band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
ag_gspphot_phoenix_upper
Upper confidence level (84%) of extinction in G band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
abp_gspphot_phoenix
Extinction in $G_{BP}$ band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
phys.absorption;em.opt.B
float
abp_gspphot_phoenix_lower
Lower confidence level (16%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
abp_gspphot_phoenix_upper
Upper confidence level (84%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
arp_gspphot_phoenix
Extinction in $G_{RP}$ band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
phys.absorption;em.opt.R
float
arp_gspphot_phoenix_lower
Lower confidence level (16%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
arp_gspphot_phoenix_upper
Upper confidence level (84%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
ebpminrp_gspphot_phoenix
Reddening $E(BP-RP)$ from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
phot.color.excess;em.opt
float
ebpminrp_gspphot_phoenix_lower
Lower confidence level (16%) of reddening $E(BP-RP)$ from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
ebpminrp_gspphot_phoenix_upper
Upper confidence level (84%) of reddening $E(BP-RP)$ from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
mg_gspphot_phoenix
Absolute magnitude $M_G$ from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
phys.magAbs;em.opt
float
indexed
mg_gspphot_phoenix_lower
Lower confidence level (16%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
mg_gspphot_phoenix_upper
Upper confidence level (84%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
radius_gspphot_phoenix
Radius from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
solRad
phys.size.radius
float
radius_gspphot_phoenix_lower
Lower confidence level (16%) of radius from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
radius_gspphot_phoenix_upper
Upper confidence level (84%) of radius from GSP-Phot Aeneas for PHOENIX library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
logposterior_gspphot_phoenix
Goodness-of-fit score (mean log-posterior of MCMC) of GSP-Phot Aeneas MCMC for PHOENIX library
stat.fit.goodness
float
mcmcaccept_gspphot_phoenix
MCMC acceptance rate of GSP-Phot Aeneas MCMC for PHOENIX library
stat.fit.param
float
teff_gspphot_ob
Effective temperature from GSP-Phot Aeneas for OB library using BP/RP spectra
K
phys.temperature.effective
float
indexed
teff_gspphot_ob_lower
Lower confidence level (16%) of effective temperature from GSP-Phot Aeneas for OB library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
teff_gspphot_ob_upper
Upper confidence level (84%) of effective temperature from GSP-Phot Aeneas for OB library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
logg_gspphot_ob
Surface gravity from GSP-Phot Aeneas for OB library using BP/RP spectra
log(cm.s**-2)
phys.gravity
float
indexed
logg_gspphot_ob_lower
Lower confidence level (16%) of surface gravity from GSP-Phot Aeneas for OB library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
logg_gspphot_ob_upper
Upper confidence level (84%) of surface gravity from GSP-Phot Aeneas for OB library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
mh_gspphot_ob
Iron abundance from GSP-Phot Aeneas for OB library using BP/RP spectra
'dex'
phys.abund.Fe
float
indexed
mh_gspphot_ob_lower
Lower confidence level (16%) of iron abundance from GSP-Phot Aeneas for OB library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
mh_gspphot_ob_upper
Upper confidence level (84%) of iron abundance from GSP-Phot Aeneas for OB library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
distance_gspphot_ob
Distance from GSP-Phot Aeneas for OB library using BP/RP spectra
pc
pos.distance
float
indexed
distance_gspphot_ob_lower
Lower confidence level (16%) of distance from GSP-Phot Aeneas for OB library using BP/RP spectra
pc
stat.value;pos.distance
float
distance_gspphot_ob_upper
Upper confidence level (84%) of distance from GSP-Phot Aeneas for OB library using BP/RP spectra
pc
stat.value;pos.distance
float
azero_gspphot_ob
Monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
phys.absorption;em.opt.V
float
indexed
azero_gspphot_ob_lower
Lower confidence level (16%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
azero_gspphot_ob_upper
Upper confidence level (84%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
ag_gspphot_ob
Extinction in G band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
ag_gspphot_ob_lower
Lower confidence level (16%) of extinction in G band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
ag_gspphot_ob_upper
Upper confidence level (84%) of extinction in G band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
abp_gspphot_ob
Extinction in $G_{BP}$ band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
phys.absorption;em.opt.B
float
abp_gspphot_ob_lower
Lower confidence level (16%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
abp_gspphot_ob_upper
Upper confidence level (84%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
arp_gspphot_ob
Extinction in $G_{RP}$ band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
phys.absorption;em.opt.R
float
arp_gspphot_ob_lower
Lower confidence level (16%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
arp_gspphot_ob_upper
Upper confidence level (84%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
ebpminrp_gspphot_ob
Reddening E(BP-RP) from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
phot.color.excess;em.opt
float
indexed
ebpminrp_gspphot_ob_lower
Lower confidence level (16%) of reddening E(BP-RP) from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
ebpminrp_gspphot_ob_upper
Upper confidence level (84%) of reddening E(BP-RP) from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
mg_gspphot_ob
Absolute magnitude $M_G$ from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
phys.magAbs;em.opt
float
mg_gspphot_ob_lower
Lower confidence level (16%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
mg_gspphot_ob_upper
Upper confidence level (84%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for OB library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
radius_gspphot_ob
Radius from GSP-Phot Aeneas for OB library using BP/RP spectra
solRad
phys.size.radius
float
radius_gspphot_ob_lower
Lower confidence level (16%) of radius from GSP-Phot Aeneas for OB library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
radius_gspphot_ob_upper
Upper confidence level (84%) of radius from GSP-Phot Aeneas for OB library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
logposterior_gspphot_ob
Goodness-of-fit score (mean log-posterior of MCMC) of GSP-Phot Aeneas MCMC for OB library
stat.fit.goodness
float
mcmcaccept_gspphot_ob
MCMC acceptance rate of GSP-Phot Aeneas MCMC for OB library
stat.fit.param
float
teff_gspphot_a
Effective temperature from GSP-Phot Aeneas for A library using BP/RP spectra
K
phys.temperature.effective
float
indexed
teff_gspphot_a_lower
Lower confidence level (16%) of effective temperature from GSP-Phot Aeneas for A library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
teff_gspphot_a_upper
Upper confidence level (84%) of effective temperature from GSP-Phot Aeneas for A library using BP/RP spectra
K
stat.value;phys.temperature.effective
float
logg_gspphot_a
Surface gravity from GSP-Phot Aeneas for A library using BP/RP spectra
log(cm.s**-2)
phys.gravity
float
indexed
logg_gspphot_a_lower
Lower confidence level (16%) of surface gravity from GSP-Phot Aeneas for A library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
logg_gspphot_a_upper
Upper confidence level (84%) of surface gravity from GSP-Phot Aeneas for A library using BP/RP spectra
log(cm.s**-2)
stat.value;phys.gravity
float
mh_gspphot_a
Iron abundance from GSP-Phot Aeneas for A library using BP/RP spectra
'dex'
phys.abund.Fe
float
indexed
mh_gspphot_a_lower
Lower confidence level (16%) of iron abundance from GSP-Phot Aeneas for A library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
mh_gspphot_a_upper
Upper confidence level (84%) of iron abundance from GSP-Phot Aeneas for A library using BP/RP spectra
'dex'
stat.value;phys.abund.Fe
float
distance_gspphot_a
Distance from GSP-Phot Aeneas for A library using BP/RP spectra
pc
pos.distance
float
indexed
distance_gspphot_a_lower
Lower confidence level (16%) of distance from GSP-Phot Aeneas for A library using BP/RP spectra
pc
stat.value;pos.distance
float
distance_gspphot_a_upper
Upper confidence level (84%) of distance from GSP-Phot Aeneas for A library using BP/RP spectra
pc
stat.value;pos.distance
float
azero_gspphot_a
Monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for A library using BP/RP spectra
mag
phys.absorption;em.opt.V
float
indexed
azero_gspphot_a_lower
Lower confidence level (16%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
azero_gspphot_a_upper
Upper confidence level (84%) of monochromatic extinction $A_0$ at 547.7nm from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.V
float
ag_gspphot_a
Extinction in G band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
phys.absorption;em.opt
float
indexed
ag_gspphot_a_lower
Lower confidence level (16%) of extinction in G band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
ag_gspphot_a_upper
Upper confidence level (84%) of extinction in G band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt
float
abp_gspphot_a
Extinction in $G_{BP}$ band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
phys.absorption;em.opt.B
float
abp_gspphot_a_lower
Lower confidence level (16%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
abp_gspphot_a_upper
Upper confidence level (84%) of extinction in $G_{BP}$ band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.B
float
arp_gspphot_a
Extinction in $G_{RP}$ band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
phys.absorption;em.opt.R
float
arp_gspphot_a_lower
Lower confidence level (16%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
arp_gspphot_a_upper
Upper confidence level (84%) of extinction in $G_{RP}$ band from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.absorption;em.opt.R
float
ebpminrp_gspphot_a
Reddening $E(BP-RP)$ from GSP-Phot Aeneas for A library using BP/RP spectra
mag
phot.color.excess;em.opt
float
indexed
ebpminrp_gspphot_a_lower
Lower confidence level (16%) of reddening $E(BP-RP)$ from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
ebpminrp_gspphot_a_upper
Upper confidence level (84%) of reddening $E(BP-RP)$ from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phot.color.excess;em.opt
float
mg_gspphot_a
Absolute magnitude $M_G$ from GSP-Phot Aeneas for A library using BP/RP spectra
mag
phys.magAbs;em.opt
float
indexed
mg_gspphot_a_lower
Lower confidence level (16%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
mg_gspphot_a_upper
Upper confidence level (84%) of absolute magnitude $M_G$ from GSP-Phot Aeneas for A library using BP/RP spectra
mag
stat.value;phys.magAbs;em.opt
float
radius_gspphot_a
Radius from GSP-Phot Aeneas for A library using BP/RP spectra
solRad
phys.size.radius
float
radius_gspphot_a_lower
Lower confidence level (16%) of radius from GSP-Phot Aeneas for A library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
radius_gspphot_a_upper
Upper confidence level (84%) of radius from GSP-Phot Aeneas for A library using BP/RP spectra
solRad
stat.value;phys.size.radius
float
logposterior_gspphot_a
Goodness-of-fit score (mean log-posterior of MCMC) of GSP-Phot Aeneas MCMC for A library
stat.fit.goodness
float
mcmcaccept_gspphot_a
MCMC acceptance rate of GSP-Phot Aeneas MCMC for A library
stat.fit.param
float
teff_gspspec_ann
Effective temperature from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
K
phys.temperature.effective
float
indexed
teff_gspspec_ann_lower
Lower confidence level (16%) of effective temperature from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
K
stat.value;phys.temperature.effective
float
teff_gspspec_ann_upper
Upper confidence level (84%) of effective temperature from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
K
stat.value;phys.temperature.effective
float
logg_gspspec_ann
Surface gravity from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
log(cm.s**-2)
phys.gravity
float
indexed
logg_gspspec_ann_lower
Lower confidence level (16%) of surface gravity from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
log(cm.s**-2)
stat.value;phys.gravity
float
logg_gspspec_ann_upper
Upper confidence level (84%) of surface gravity from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
log(cm.s**-2)
stat.value;phys.gravity
float
mh_gspspec_ann
Global metallicity from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
'dex'
phys.abund
float
indexed
mh_gspspec_ann_lower
Lower confidence level (16%) of global metallicity from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund
float
mh_gspspec_ann_upper
Upper confidence level (84%) of global metallicity from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund
float
alphafe_gspspec_ann
Abundance of alpha-elements with respect to iron from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
'dex'
phys.abund
float
indexed
alphafe_gspspec_ann_lower
Lower confidence level (16%) of alpha-elements with respect to iron from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund
float
alphafe_gspspec_ann_upper
Upper confidence level (84%) of alpha-elements with respect to iron from GSP-Spec ANN using RVS spectra and Monte Carlo realisations
'dex'
stat.value;phys.abund
float
logchisq_gspspec_ann
Logarithm of the goodness-of-fit for the GSP-Spec ANN parameters
stat.fit.chi2
float
flags_gspspec_ann
Catalogue flags for GSP-Spec ANN
meta.code.status
char
radius_flame_spec
Radius of the star from FLAME using {\tt teffGspspec} and {\tt lumFlameSpec}
solRad
phys.size.radius
float
indexed
radius_flame_spec_lower
Lower confidence level (16%) of {\tt radiusFlameSpec}
solRad
stat.value;phys.size.radius
float
radius_flame_spec_upper
Upper confidence level (84%) of {\tt radiusFlameSpec}
solRad
stat.value;phys.size.radius
float
lum_flame_spec
Luminosity of the star from FLAME using G band magnitude, extinction ({\tt agGspphot}), parallax and a bolometric correction {\tt bcFlameSpec}
solLum
phys.luminosity
float
indexed
lum_flame_spec_lower
Lower confidence level (16%) of {\tt lumFlameSpec}
solLum
stat.value;phys.luminosity
float
lum_flame_spec_upper
Upper confidence level (84%) of {\tt lumFlameSpec}
solLum
stat.value;phys.luminosity
float
mass_flame_spec
Mass of the star from FLAME using stellar models, {\tt lumFlameSpec} and {\tt teffGspspec}
solMass
phys.mass
float
indexed
mass_flame_spec_lower
Lower confidence level (16%) of {\tt massFlameSpec}
solMass
stat.value;phys.mass
float
mass_flame_spec_upper
Upper confidence level (84%) of {\tt massFlameSpec}
solMass
stat.value;phys.mass
float
age_flame_spec
Age of the star from FLAME using stellar models, see {\tt massFlameSpec} for details
Gyr
time.age
float
indexed
age_flame_spec_lower
Lower confidence level (16%) of {\tt ageFlameSpec}
Gyr
stat.value;time.age
float
age_flame_spec_upper
Upper confidence level (84%) of {\tt ageFlameSpec}
Gyr
stat.value;time.age
float
flags_flame_spec
Flag indicating quality of parameters from FLAME using GSP-Spec parameters
meta.code.qual
char
indexed
evolstage_flame_spec
Evolutionary stage of the star from FLAME using stellar models, see {\tt massFlameSpec} for details
src.class
int
indexed
gravredshift_flame_spec
Gravitational redshift from FLAME using GSP-Spec parameters
km.s**-1
src.redshift
float
indexed
gravredshift_flame_spec_lower
Lower confidence interval of {\tt gravredshiftFlameSpec}
km.s**-1
stat.value;src.redshift
float
gravredshift_flame_spec_upper
Upper confidence interval of {\tt gravredshiftFlameSpec}
km.s**-1
stat.value;src.redshift
float
bc_flame_spec
Bolometric correction applied to derive {\tt lumFlameSpec} using GSP-Spec parameters
mag
phot.mag.bc
float
gaiadr3.oa_neuron_information
This is the table hosting the content of a Self-Organized Map calculated from a dataset composed by outliers by the Apsis module OA. Each entry corresponds to parameters estimated for one particular neuron of the map. The prototype BP/RP spectrum for a particular neuron is available in another table: {\tt OaNeuronXpSpectra}. See Section~\ref{ssec:cu8par_apsis_oa} for further details.
solution_id
Solution Identifier
meta.version
long
som_id
Self-Organized Map identifier
meta.id
long
indexed
neuron_id
Neuron identifier
meta.id
long
indexed
neuron_row_index
Row index of the neuron in the Self-Organised Map lattice
meta.id
short
neuron_column_index
Column index of the neuron in the Self-Organised Map lattice
meta.id
short
hits
Number of sources populating the neuron
meta.number
int
class_label
Astronomical class estimated for the neuron
meta.code.class
char
centroid_id
Identifier of the Gaia source that minimizes the classification distance to the neuron
meta.id
long
centroid_distance
Squared Euclidean distance between the centroid XP spectrum and the neuron XP prototype
meta.id
float
template_distance
Squared Euclidean distance between the reference XP template and the neuron XP prototype
meta.id
float
g_mag_mean
Mean $G$ value for the sources that belong to the neuron
mag
phot.mag;em.opt
float
g_mag_std_dev
Standard deviation of $G$ values for the sources that belong to the neuron
mag
stat.error;phot.mag;em.opt
float
g_mag_min
Minimum $G$ value for the sources that belong to the neuron
mag
phot.mag;stat.min
float
g_mag_max
Maximum $G$ value for the sources that belong to the neuron
mag
phot.mag;stat.max
float
bp_mag_mean
Mean $G_{\rm BP}$ value for the sources that belong to the neuron
mag
phot.mag;stat.mean
float
bp_mag_std_dev
Standard deviation of $G_{\rm BP}$ values for the sources that belong to the neuron
mag
stat.error;phot.mag;em.opt.B
float
bp_mag_min
Minimum value of $G_{\rm BP}$ for the sources that belong to the neuron
mag
phot.mag;stat.min
float
bp_mag_max
Maximum value of $G_{\rm BP}$ for the sources that belong to the neuron
mag
phot.mag;stat.max
float
rp_mag_mean
Mean $G_{\rm RP}$ value for the sources that belong to the neuron neuron
mag
phot.mag;stat.mean
float
rp_mag_std_dev
Standard deviation of $G_{\rm RP}$ values for the sources that belong to the neuron
mag
stat.error;phot.mag;em.opt.R
float
rp_mag_min
Minimum value of $G_{\rm RP}$ for the sources that belong to the neuron
mag
phot.mag;stat.min
float
rp_mag_max
Maximum value of $G_{\rm RP}$ for the sources that belong to the neuron
mag
phot.mag;stat.max
float
pm_ra_mean
Mean value of the proper motion in right ascension for the sources that belong to the neuron
mas.yr**-1
pos.pm;stat.mean
float
pm_ra_std_dev
Standard deviation of the proper motion in right ascension for the sources that belong to the neuron
mas.yr**-1
stat.error;pos.pm
float
pm_ra_min
Minimum value of the proper motion in right ascension for the sources that belong to the neuron
mas.yr**-1
pos.pm;stat.min
float
pm_ra_max
Maximum value of the proper motion in right ascension for the sources that belong to the neuron
mas.yr**-1
pos.pm;stat.max
float
pm_dec_mean
Mean value of the proper motion in declination for the sources that belong to the neuron
mas.yr**-1
pos.pm;stat.mean
float
pm_dec_std_dev
Standard deviation of the proper motion in declination for the sources that belong to the neuron
mas.yr**-1
stat.error;pos.pm
float
pm_dec_min
Minimum value of the proper motion in declination for the sources that belong to the neuron
mas.yr**-1
pos.pm;stat.min
float
pm_dec_max
Maximum value of the proper motion in declination for the sources that belong to the neuron
mas.yr**-1
pos.pm;stat.max
float
parallax_mean
Mean parallax value for the sources that belong to the neuron
mas
pos.parallax.trig;stat.mean
float
parallax_std_dev
Standard deviation of the parallax values for the sources that belong to the neuron
mas
stat.error;pos.parallax.trig
float
parallax_min
Minimum parallax value for the sources that belong to the neuron
mas
pos.parallax.trig;stat.min
float
parallax_max
Maximum parallax value for the sources that belong to the neuron
mas
pos.parallax.trig;stat.max
float
gal_latitude_mean
Mean galactic latitude for the sources that belong to the neuron
deg
pos.galactic.lat;stat.mean
float
gal_latitude_std_dev
Standard deviation of the galactic latitude values for the sources that belong to the neuron
deg
stat.error;pos.galactic.lat
float
gal_latitude_min
Minimum galactic latitude for the sources that belong to the neuron
deg
pos.galactic.lat;stat.min
float
gal_latitude_max
Maximum galactic latitude for the sources that belong to the neuron
deg
pos.galactic.lat;stat.max
float
intra_neuron_distance_mean
Mean value of the squared Euclidean distance between each of the XP sources in the neuron and the neuron prototype
stat.value
float
intra_neuron_distance_std_dev
Standard deviation of the squared Euclidean distance between each of the XP sources in the neuron and the neuron prototype
stat.value
float
intra_neuron_distance_min
Minimum squared Euclidean distance between each of the XP sources in the neuron and the neuron prototype
stat.value
float
intra_neuron_distance_max
Maximum squared Euclidean distance between each of the XP sources in the neuron and the neuron prototype
stat.value
float
inter_neuron_distance_mean
Mean value of the squared Euclidean distance between the neuron XP prototype and the XP prototypes of its immediate neighbours
stat.value
float
inter_neuron_distance_std_dev
Standard deviation of the squared Euclidean distance between the neuron XP prototype and the XP prototypes of its immediate neighbours
stat.value
float
inter_neuron_distance_min
Minimum value of the squared Euclidean distance between the neuron XP prototype and the XP prototypes of its immediate neighbours
stat.value
float
inter_neuron_distance_max
Maximum value of the squared Euclidean distance between the neuron XP prototype and the XP prototypes of its immediate neighbours
stat.value
float
template_name
Name of the template used to describe the neuron
meta.record
char
distance_percentile25
25th percentile value for the intra-neuron distance distribution
stat.value
float
distance_percentile50
50th percentile value for the intra-neuron distance distribution
stat.value
float
distance_percentile68
68th percentile value for the intra-neuron distance distribution
stat.value
float
distance_percentile75
75th percentile value for the intra-neuron distance distribution
stat.value
float
distance_percentile95
95th percentile value for the intra-neuron distance distribution
stat.value
float
distance_fwhm
Full Width at Half Maximum value for the intra-neuron distance distribution
stat.value
float
distance_skew
Skewness value for the intra-neuron distance distribution
stat.value
float
distance_kurtosis
Kurtosis value for the intra-neuron distance distribution
stat.value
float
distance_i_q_r
Inter-Quartile Range value for the intra-neuron distance distribution
stat.value
float
distance_fwhm_norm
Normalized FWHM value for the intra-neuron distance distribution
stat.value
float
quality_category
Quality category assigned to the neuron, where 0 corresponds to the most homogeneous neurons and 6 to the most heterogeneous ones
meta.code.qual
short
bp_transits_mean
Mean value of the number of BP transits for the sources that belong to the neuron
meta.number
float
bp_transits_std_dev
Standard deviation of the number of BP transits for the sources that belong to the neuron
stat.stdev
float
bp_transits_min
Minimum value of the number of BP transits for the sources that belong to the neuron
meta.number;stat.min
float
bp_transits_max
Maximum value of the number of BP transits for the sources that belong to the neuron
meta.number;stat.max
float
rp_transits_mean
Mean value of the number of RP transits for the sources that belong to the neuron
meta.number;stat.mean
float
rp_transits_std_dev
Standard deviation of the number of RP transits for the sources that belong to the neuron
stat.stdev
float
rp_transits_min
Minimum value of the number of RP transits for the sources that belong to the neuron
meta.number;stat.min
float
rp_transits_max
Maximum value of the number of RP transits for the sources that belong to the neuron
meta.number;stat.max
float
ruwe_mean
Mean value of the renormalised unit weight error for the sources that belong to the neuron
stat.weight;stat.mean
float
ruwe_std_dev
Standard deviation of the renormalised unit weight error for the sources that belong to the neuron
stat.stdev
float
ruwe_min
Minimum value of the renormalised unit weight error for the sources that belong to the neuron
stat.weight;stat.min
float
ruwe_max
Maximum value of the renormalised unit weight error for the sources that belong to the neuron
stat.weight;stat.max
float
bprp_mean_flux_excess_mean
Mean value of the BP/RP flux excess for the sources that belong to the neuron
stat.value
float
bprp_mean_flux_excess_std_dev
Standard deviation of the BP/RP flux excess for the sources that belong to the neuron
stat.stdev
float
bprp_mean_flux_excess_min
Minimum value of the BP/RP flux excess for the sources that belong to the neuron
stat.value
float
bprp_mean_flux_excess_max
Maximum value of the BP/RP flux excess for the sources that belong to the neuron
stat.value
float
bprp_colour_mean
Mean value of the $G_{\rm BP}-G_{\rm RP}$ colour for the sources that belong to the neuron
mag
phot.color;stat.mean
float
bprp_colour_std_dev
Standard deviation of the $G_{\rm BP}-G_{\rm RP}$ colour for the sources that belong to the neuron
mag
stat.stdev
float
bprp_colour_min
Minimum value of the $G_{\rm BP}-G_{\rm RP}$ colour for the sources that belong to the neuron
mag
phot.color;stat.min
float
bprp_colour_max
Maximum value of the $G_{\rm BP}-G_{\rm RP}$ colour for the sources that belong to the neuron
mag
phot.color;stat.max
float
gaiadr3.oa_neuron_xp_spectra
This is the table hosting the prototype BP/RP spectrum corresponding to each of the neurons of the Self-Organised-Map produced by the Apsis module OA. Other neuron attributes, such as statistics on various parameters, are available in another table: {\tt OaNeuronInformation}. See Section~\ref{ssec:cu8par_apsis_oa} for further details.
solution_id
Solution Identifier
meta.version
long
neuron_id
Neuron identifier
meta.id
long
indexed
neuron_row_index
Row index of the neuron in the Self-Organised Map lattice
meta.id
short
neuron_column_index
Column index of the neuron in the Self-Organised Map lattice
meta.id
short
xp_spectrum_prototype_flux
Normalised flux at wavelength {\tt xpSpectrumPrototypeWavelength} for the preprocessed XP spectrum that best represents the neuron (prototype)
stat.fit.param
float
xp_spectrum_prototype_wavelength
Wavelength associated with the XP spectrum flux values
nm
em.wl.central
float
indexed
xp_spectrum_template_flux
Normalised flux at wavelength {\tt xpSpectrumPrototypeWavelength} for the preprocessed XP spectrum corresponding to the neuron template
stat.fit.param
float
gaiadr3.total_galactic_extinction_map
This table provides the Total Galactic Extinction (TGE) map for extinction parameters $A_0$ describing the effective total Galactic extinction and related uncertainties at four separate HEALPix levels, namely levels 6 to 9. For further details see Section \ref{ssec:cu8par_apsis_tge} of the online documentation.
solution_id
Solution Identifier
meta.version
long
healpix_id
HEALPix identification
pos.healpix
long
indexed
healpix_level
HEALPix level used
pos.healpix
short
indexed
a0
Mean $A_0$ extinction parameter
mag
phys.absorption.coeff
float
a0_uncertainty
Uncertainty for the mean $A_0$
mag
stat.error;phys.absorption.coeff
float
a0_min
Minimum $A_0$ value used for the HEALPix of interest
mag
phys.absorption.coeff;stat.min
float
a0_max
Maximum $A_0$ value used for the HEALPix of interest
mag
phys.absorption.coeff;stat.max
float
num_tracers_used
Number of tracers used
meta.number
int
optimum_hpx_flag
Flag to indicate whether a given HEALPix level is the optimum (True) or not (False)
meta.code.class
boolean
status
Exit status for TGE
meta.code.status
short
gaiadr3.total_galactic_extinction_map_opt
This table provides an optimum version of the Total Galactic Extinction map, derived from the table {{TotalGalacticExtinctionMap}} at a single HEALPix level 9. For this, the mean effective total Galactic extinction and related uncertainties have been selected from the optimal HEALPix level of the four offered in {{TotalGalacticExtinctionMap}}. For further details see Section \ref{ssec:cu8par_apsis_tge} of the online documentation.
solution_id
Solution Identifier
meta.version
long
healpix_id
HEALPix identification
pos.healpix
long
indexed
a0
Median A$_0$ extinction parameter
mag
phys.absorption.coeff
float
a0_uncertainty
Uncertainty for the mean A$_0$
mag
stat.error;phys.absorption.coeff
float
num_tracers_used
Number of tracers used
meta.number
int
status
Exit status for TGE
meta.code.status
short
optimum_hpx_level
Number indicating which HEALPix level was chosen to populate this HEALPix
meta.code.class
short
gaiadr3.commanded_scan_law
This table provides a representation of the Gaia scanning law over the
34 month time period covered by the Gaia Data Release 3 (from 2014-07-25
10:31:26 to 2017-05-28 08:46:29), including the Ecliptic Pole Scanning
at the begin of the mission. Note that this is the commanded attitude of
the spacecraft, the actual attitude could deviate from it by up to about
30 arcsec. Also, it does not contain any of the data interruptions that
occurred during the real mission, of which the main ones are listed in
Chapter [chap:cu0int], Section [cu0int_sec:release_framework].
The scanning law has been sampled at a 10 second interval, in which the
satellite rotates about 10 arcminutes (the target spin rate is actually
59.9641857803 arcsec/sec). Note that this is several times shorter than
a typical field-of-view transit and the scan position angle will be
practically constant during this interval.
Notes:
- The times in columns 1, 2 and 3 are in Julian days in TCB with time
origin 2010-01-01T00:00 (JD 2455197.5), following the time
coordinate convention used in the Gaia archive. TCB stands for
Barycentric Coordinate Time and is the time standard used in Gaia
processing, equivalent to the proper time experienced by a clock at
rest in a coordinate frame co-moving with the barycentre of the
Solar system but outside its gravity well, therefore not influenced
by the gravitational time dilation caused by the Sun and the rest of
the solar system.
- Column 1 is the reference time for the spacecraft attitude, while
columns 2 and 3 give the times with the (relativistic) corrections
applied for the light-travel time to the solar system barycentre,
corresponding to an infinitely distant source at the RA, DEC at the
centres of FOV 1 and 2, respectively.
- FOV1 and FOV2 correspond to the preceding (PFOV) and following
(FFOV) fields-of-view, respectively.
- The centres of the field of views are separated by the basic angle
of 106.5 deg, see Fig. 2 of . Their origin in the focal plane is
illustrated in Fig. 3 of the same paper: both originate in the
astrometric field (AF) 7, with FOV1 in row 3 and FOV2 in row 5.
- The scan angle, theta, is the position angle of the direction in
which the FOV is moving (also called ‘along-scan’ direction), and is
defined in the usual astronomical sense: theta = 0 when the FoV is
moving towards local North, and theta = 90 degrees towards local
East.
- All values have been formatted to the default double numerical
precision and so this precision should not be interpreted as the
accuracy of the data.
jd_time
Time [Julian Date in TCB at Gaia - 2455197.5]
d
time.epoch
double
bjd_fov1
Time [Julian Date in TCB at barycentre for FOV1 - 2455197.5]
d
time.epoch
double
bjd_fov2
Time [Julian Date in TCB at barycentre for FOV2 - 2455197.5]
d
time.epoch
double
obmt_time
Time at Gaia (OBMT)
ns
time.epoch
long
ra_fov1
Right Ascension of FOV1 centre
deg
pos.eq.ra
float
dec_fov1
Declination of FOV1 centre
deg
pos.eq.dec
float
heal_pix_fov1
FOV1 HEALPix level 12
pos.healpix
int
scan_angle_fov1
Scan position angle of FOV1
deg
pos.angDistance
float
ra_fov2
Right ascension of FOV2 centre
deg
pos.eq.ra
float
dec_fov2
Declination of FOV2 centre
deg
pos.eq.dec
float
heal_pix_fov2
FOV2 HEALPix level 12
pos.healpix
int
scan_angle_fov2
Scan position angle of FOV2
deg
pos.angDistance
float
solution_id
Solution Identifier
meta.version
long
gaiadr3.allwise_best_neighbour
<p>allWISE BestNeighbour table lists each matched Gaia object with its best neighbour in the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in allWISE.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
xm_flag
Cross-match algorithm flag
meta.code.status
short
allwise_oid
External Catalogue source identifier
meta.id.cross
int
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiadr3.allwise_neighbourhood
<p>allWISE Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in allWISE.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
allwise_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.apassdr9_best_neighbour
<p>Table <tt>Apassdr9BestNeighbour</tt> lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in APASS DR9.
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.
The cross-match algorithm is positional and exploits the full 5
parameter covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.</p>
<p>Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.</p>
<p>Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
clean_apassdr9_oid
External Catalogue source identifier
meta.id.cross
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
int
gaiadr3.apassdr9_join
Convenience table to be used to join the APASS DR9 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding additional numerical
identifier (cleanApassdr9Oid).
Both originalExtSourceId and cleanApassdr9Oid are present in the
cross-match output tables (Apassdr9BestNeighbour and
Apassdr9Neighbourhood). However, in case there are suspected duplicates
in the external catalogue, different originalExtSourceId will correspond
to the same cleanApassdr9Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed. In practice, users may use the originalExtSourceId in the
original catalogue to find the matching source with the best astrometry.
Users interested in all matching suspected duplicates should instead use
the cleanApassdr9Oid in the join with the cross-match result tables.
See Chapter [chap:crossmatch] for more details on the duplicates in the
external catalogues and their treatment in the cross-match computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
clean_apassdr9_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.apassdr9_neighbourhood
<p>Table <tt>Apassdr9Neighbourhood</tt> includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in APASS DR9.
The cross-match algorithm is positional and exploits the full 5
parameter covariance matrix of the the Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.</p>
<p>Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.</p>
<p>Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
clean_apassdr9_oid
External Catalogue source identifier
meta.id.cross
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
int
gaiadr3.dr2_neighbourhood
Users wishing to look up the E/DR3 record for an astrophysical source
identified in DR2 must NOT simply extract the record from E/DR3 having
the same source identifier.
As described in the detailed description of attribute designation in
GaiaSource it is not guaranteed that the same astronomical source will
always have the same source identifier in different Data Releases. Hence
the only safe way to compare source records between different Data
Releases in general is to check the records of proximal source(s) in the
same small part of the sky. This table provides the means to do this via
a precomputed crossmatch of such sources, taking into account the proper
motions available at E/DR3.
Within the neighbourhood of a given E/DR3 source there may be none, one
or (rarely) several possible counterparts in DR2 indicated by rows in
this table. This occasional source confusion is an inevitable
consequence of the merging, splitting and deletion of identifiers
introduced in previous releases during the DR3 processing and results in
no guaranteed one–to–one correspondence in source identifiers between
the releases.
For more details of the procedure used to create this crossmatch, see
Chapter [chap:archive] in the online documentation.
dr2_source_id
Source identifier in Gaia DR2
meta.id.cross
long
dr3_source_id
Source identifier in Gaia E/DR3
meta.id.cross;meta.main
long
angular_distance
Angular distance between the two sources
mas
pos.angDistance
float
magnitude_difference
G band magnitude difference between the sources
mag
phot.mag;arith.diff
float
proper_motion_propagation
Flag indicating whether E/DR3 coordinates were proper motion corrected
meta.code.status
boolean
gaiadr3.gsc23_best_neighbour
<p>GSC2.3 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in GSC2.3.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_gsc23_oid
External Catalogue source identifier
meta.id.cross
int
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiadr3.gsc23_join
Convenience table to be used to join GSC 2.3 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanGsc23Oid).
Both originalExtSourceId and cleanGsc23Oid are present in the
cross-match output tables (gsc23BestNeighbour and gsc23Neighbourhood).
However, in case there are suspected duplicates in the external
catalogue, different originalExtSourceId will correspond to the same
cleanGsc23Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanGsc23Oid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
clean_gsc23_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.gsc23_neighbourhood
<p>GSC2.3 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in GSC2.3.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_gsc23_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.hipparcos2_best_neighbour
<p>Hipparcos2 BestNeighbour table lists each matched external catalogue object with its best
neighbour in Gaia.
The cross-match algorithm is not symmetric and searches Hipparcos2 sources counterparts in Gaia.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in Gaia whose position is
compatible within position errors with the external catalogue target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
int
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.hipparcos2_neighbourhood
<p>Hipparcos2 Neighbourhood table includes all good neighbours for each matched Hipparcos2 object.
A good neighbour for a given Hipparcos2 source is a nearby Gaia object whose
position is compatible (within position errors) with the Hipparcos2 target. <br/>
The cross-match algorithm is not symmetric and searches Hipparcos2 sources counterparts in Gaia.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
int
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.panstarrs1_best_neighbour
<p>Pan-STARRS1 DR1 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in Pan-STARRS1 DR1.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
clean_panstarrs1_oid
External Catalogue source identifier
meta.id.cross
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.panstarrs1_join
Convenience table to be used to join Pan-STARRS1 DR1.1 catalogue with
the cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanPanstarrs1Oid).
Both originalExtSourceId and cleanPanstarrs1Oid are present in the
cross-match output tables (panstarrs1BestNeighbour and
panstarrs1Neighbourhood). However, in case there are suspected
duplicates in the external catalogue, different originalExtSourceId will
correspond to the same cleanPanstarrs1Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanPanstarrs1Oid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
clean_panstarrs1_oid
External Catalogue source identifier
meta.id.cross
long
gaiadr3.panstarrs1_neighbourhood
<p>Pan-STARRS1 DR1 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in Pan-STARRS1 DR1.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
clean_panstarrs1_oid
External Catalogue source identifier
meta.id.cross
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.ravedr5_best_neighbour
<p>RAVE DR5 BestNeighbour table lists each matched external catalogue object with its best
neighbour in Gaia.
The cross-match algorithm is not symmetric and searches RAVE DR5 sources counterparts in Gaia.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in Gaia whose position is
compatible within position errors with the external catalogue target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_ravedr5_oid
External Catalogue source identifier
meta.id.cross
int
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
short
gaiadr3.ravedr5_join
Convenience table to be used to join RAVE DR5 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanRavedr5Oid).
Both originalExtSourceId and cleanRavedr5Oid are present in the
cross-match output tables (ravedr5BestNeighbour and
ravedr5Neighbourhood). However, in case there are suspected duplicates
in the external catalogue, different originalExtSourceId will correspond
to the same cleanRavedr5Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanRavedr5Oid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
clean_ravedr5_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.ravedr5_neighbourhood
<p>RAVE DR5 Neighbourhood table includes all good neighbours for each matched RAVE DR5 object.
A good neighbour for a given RAVE DR5 source is a nearby Gaia object whose
position is compatible (within position errors) with the RAVE DR5 target. <br/>
The cross-match algorithm is not symmetric and searches RAVE DR5 sources counterparts in Gaia.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_ravedr5_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.ravedr6_best_neighbour
Table {\tt Ravedr6BestNeighbour} lists each matched external catalogue object with its best
neighbour in Gaia.
The cross-match algorithm is not symmetric and searches RAVE DR6 sources counterparts in Gaia.
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in Gaia whose position is
compatible within position errors with the external catalogue target.
The cross-match algorithm is positional and exploits the full~5
parameter covariance matrix of the Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.
Reference papers:\\
\citet{DR1-DPACP-17}\\
\citet{DR2-DPACP-41}\\
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
xm_flag
Cross-match algorithm flag
meta.code.status
short
ravedr6_oid
External Catalogue source identifier
meta.id.cross
int
indexed
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
short
gaiadr3.ravedr6_join
Convenience table to be used to join RAVE DR6 catalogue with the cross-match results.
The table links the external catalogue original sourceId ({\tt originalExtSourceId}) to the corresponding additional numerical identifier ({\tt ravedr6Oid}).
Both {\tt originalExtSourceId} and {\tt ravedr6Oid} are present in the cross-match output tables ({\tt Ravedr6BestNeighbour} and {\tt Ravedr6Neighbourhood}).
However, in case there are suspected duplicates in the external catalogue, different {\tt originalExtSourceId} will correspond to the same {\tt ravedr6Oid}.
In the cross-match output table only the {\tt originalExtSourceId} of the source with the best astrometry among the suspected duplicates will be listed.
In practice, users may use the {\tt originalExtSourceId} in the original catalogue to find the matching source with the best astrometry. Users interested to find all matching suspected duplicates should instead use the {\tt ravedr6Oid} in the join with the cross-match result tables.
See Chapter~\ref{chap:crossmatch}, for more details on the duplicates in the external catalogues and their treatment in the cross-match computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
ravedr6_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiadr3.ravedr6_neighbourhood
Table {\tt Ravedr6Neighbourhood} includes all good neighbours for each matched RAVE DR6 object.
A good neighbour for a given RAVE DR6 source is a nearby Gaia object whose
position is compatible (within position errors) with the RAVE DR6 target.
The cross-match algorithm is not symmetric and searches RAVE DR6 sources counterparts in Gaia.
The cross-match algorithm is positional and exploits the full~5
parameter covariance matrix of the Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.
Reference papers:\\
\citet{DR1-DPACP-17}\\
\citet{DR2-DPACP-41}\\
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
ravedr6_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiadr3.sdssdr13_best_neighbour
<p>SDSS DR13 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SDSS DR13.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
clean_sdssdr13_oid
External Catalogue source identifier
meta.id.cross
int
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.sdssdr13_join
Convenience table to be used to join SDSS DR13 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (sdssdr13Oid).
Both originalExtSourceId and sdssdr13Oid are present in the cross-match
output tables (sdssdr13BestNeighbour and sdssdr13Neighbourhood).
However, in case there are suspected duplicates in the external
catalogue, different originalExtSourceId will correspond to the same
sdssdr13Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the sdssdr13Oid in the join with the cross-match result tables.
See Documentation [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
clean_sdssdr13_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.sdssdr13_neighbourhood
<p>SDSS DR13 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SDSS DR13.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
clean_sdssdr13_oid
External Catalogue source identifier
meta.id.cross
int
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.skymapperdr2_best_neighbour
<p>SkyMapper DR2 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SkyMapper DR2.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.skymapperdr2_join
Convenience table to be used to join SkyMapper DR2 catalogue with the
cross-match results. It lists all the SkyMapper DR2 sources which were
used in the cross-match. See Documentation, [chap:crossmatch], for more
details on the catalogue.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
gaiadr3.skymapperdr2_neighbourhood
<p>SkyMapper DR2 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SkyMapper DR2.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiadr3.tmass_psc_xsc_best_neighbour
<p>2MASS BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in 2MASS.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_tmass_psc_xsc_oid
External Catalogue source identifier
meta.id.cross
int
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiadr3.tmass_psc_xsc_join
Convenience table to be used to join 2MASS PSC+XSC catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanTmassPscXscOid).
Both originalExtSourceId and cleanTmassPscXscOid are present in the
cross-match output tables (tmassPscXscBestNeighbour and
tmassPscXscNeighbourhood). However, in case there are suspected
duplicates in the external catalogue, different originalExtSourceId will
correspond to the same cleanTmassPscXscOid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanTmassPscXscOid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_psc_source_id
Original 2MASS PSC source identifier
meta.id.cross
char
original_xsc_source_id
Original 2MASS XSC source identifier
meta.id.cross
char
clean_tmass_psc_xsc_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.tmass_psc_xsc_neighbourhood
<p>2MASS Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in 2MASS.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_tmass_psc_xsc_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.tycho2tdsc_merge_best_neighbour
<p>Tycho2TDSCmerge BestNeighbour table lists each matched external catalogue object with its best
neighbour in Gaia.
The cross-match algorithm is not symmetric and searches Tycho2TDSCmerge sources counterparts in Gaia.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in Gaia whose position is
compatible within position errors with the external catalogue target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
xm_flag
Cross-match algorithm flag
meta.code.status
short
tycho2tdsc_merge_oid
External Catalogue source identifier
meta.id.cross
int
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
short
gaiadr3.tycho2tdsc_merge_neighbourhood
<p>Tycho2TDSCmerge Neighbourhood table includes all good neighbours for each matched Tycho2TDSCmerge object.
A good neighbour for a given Tycho2TDSCmerge source is a nearby Gaia object whose
position is compatible (within position errors) with the Tycho2TDSCmerge target. <br/>
The cross-match algorithm is not symmetric and searches Tycho2TDSCmerge sources counterparts in Gaia.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
tycho2tdsc_merge_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.urat1_best_neighbour
<p>URAT-1 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in URAT-1.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
xm_flag
Cross-match algorithm flag
meta.code.status
short
urat1_oid
External Catalogue source identifier
meta.id.cross
int
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiadr3.urat1_neighbourhood
<p>URAT-1 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in URAT-1.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
urat1_oid
External Catalogue source identifier
meta.id.cross
int
gaiadr3.galaxy_candidates
This table contains parameters derived from various modules dedicated to the classification and characterisation of sources considered as galaxy candidates. This table has been constructed with the intention to be complete rather than pure and, as such, it will contain a large fraction of non-genuine extragalactic sources. Purer samples can be drawn using dedicated flags or queries. Please refer to Chapter~\ref{chap:cu3qso} of the on-line documentation for details about how this table was built, its content, and for recommendations regarding its exploitation.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier (unique within a particular Data Release)
meta.id
long
indexed
vari_best_class_name
Name of best class, see table VariClassifierClassDefinition for details of the class
meta.code.class
char
indexed
vari_best_class_score
Score of the best class
stat.probability
float
indexed
classprob_dsc_combmod_galaxy
Probability from DSC-Combmod of being a galaxy (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_combmod_quasar
Probability from DSC-Combmod of being a quasar (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classlabel_dsc
Class assigned by DSC based on the probability from its Combmod classifier
meta.code.class
char
indexed
classlabel_dsc_joint
Class assigned by DSC based on the probability from its Specmod and Allosmod classifiers
meta.code.class
char
indexed
classlabel_oa
Class assigned by OA the neuron that represents the source
meta.code.class
char
indexed
redshift_ugc
Redshift from UGC
src.redshift
float
indexed
redshift_ugc_lower
Redshift prediction lower limit from UGC
stat.value;src.redshift
float
redshift_ugc_upper
Redshift prediction upper limit from UGC
stat.value;src.redshift
float
n_transits
Number of transits used for the morphological analysis
meta.number
int
posangle_sersic
Fitted position angle of the source for the Sersic Profile
deg
pos.posAng
double
posangle_sersic_error
Error on the fitted position angle of the source for the Sersic Profile
deg
stat.error;pos.posAng
double
intensity_sersic
Fitted intensity of the source for the Sersic Profile
'electron'.s**-1
phot.flux;em.opt
double
intensity_sersic_error
Error on the fitted intensity of the source at effective radius radiusSersic
'electron'.s**-1
stat.error;phot.flux;em.opt
double
radius_sersic
Fitted effective radius of the source for the Sersic Profile
mas
phys.angSize
double
radius_sersic_error
Error on the fitted effective radius of the source for the Sersic Profile
mas
stat.error;phys.angSize
double
ellipticity_sersic
Fitted ellipticity of source for the Sersic Profile
src.ellipticity
double
ellipticity_sersic_error
Error on the fitted ellipticity of the source for the Sersic Profile
stat.error;src.ellipticity
double
n_sersic
Fitted Sersic Index for Sersic Profile
stat.fit.param
float
n_sersic_error
Error on the fitted Sersic Index for Sersic Profile
stat.error
float
l2_sersic
L2 norm for the Sersic Profile
stat.fit.param
double
morph_params_corr_vec_sersic
Vector form of the upper triangle of the correlation matrix for the fitted parameters for the Sersic Profile
stat.correlation
double
flags_sersic
Flag indicative of processing or scientific quality for the morphological parameters fitting for the Sersic Profile
meta.code.qual
short
indexed
posangle_de_vaucouleurs
Fitted position angle of the source for the de Vaucouleurs Profile
deg
pos.posAng
double
posangle_de_vaucouleurs_error
Error on the fitted position angle of the source for the de Vaucouleurs Profile
deg
stat.error;pos.posAng
double
intensity_de_vaucouleurs
Fitted intensity of the source for the de Vaucouleurs Profile
'electron'.s**-1
phot.flux;em.opt
double
intensity_de_vaucouleurs_error
Error on the fitted intensity of the bulge for the de Vaucouleurs Profile
'electron'.s**-1
stat.error;phot.flux;em.opt
double
radius_de_vaucouleurs
Fitted effective radius of the source for de Vaucouleurs Profile
mas
phys.angSize
double
radius_de_vaucouleurs_error
Error on the fitted effective radius of the source for the de Vaucouleurs Profile
mas
stat.error;phys.angSize
double
ellipticity_de_vaucouleurs
Fitted ellipticity of source for the de Vaucouleurs Profile
src.ellipticity
double
ellipticity_de_vaucouleurs_error
Error on the fitted ellipticity of the source for the de Vaucouleurs Profile
stat.error;src.ellipticity
double
l2_de_vaucouleurs
L2 norm for the de Vaucouleurs Profile
stat.fit.param
double
morph_params_corr_vec_de_vaucouleurs
Vector form of the upper triangle of the correlation matrix for the fitted parameters for the de Vaucouleurs Profile
stat.correlation
double
flags_de_vaucouleurs
Flag indicative of processing or scientific quality for the morphological parameters fitting for the de Vaucouleurs Profile
meta.code.qual
short
indexed
source_selection_flags
Bit indicative of whether the input data from a given module met the source list eligibility criteria for the source of interest
meta.code.status
int
indexed
gaiadr3.galaxy_catalogue_name
This table provides the list of input catalogues that have been used to select any given source for which morphological analysis parameters are provided in table {\tt GalaxyCandidates}.
Each source may have been cross-matched to more than one catalogue and therefore can have several entries in the table.
For DR3, the catalogues considered for this selection are mostly external, although sources identified by DPAC based on the classification performed by other processing have also been included here.
Each catalogue is assigned a \texttt{catalogueId}. For DR3 the only input list corresponds to that published in~\cite{2022Krone-Martins}. Further details on these catalogues are given in the chapter on extended object processing (Section~\ref{sec:cu4eo_list}).
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
catalogue_id
The unique identifier for the catalogue(s) used to select the sources in the morphological analysis
meta.id.assoc
short
indexed
gaiadr3.qso_candidates
This table contains parameters derived from various modules dedicated to the classification and characterisation of sources considered as QSO candidates. Together with those, the QSOs used to define the Gaia-CRF3 are also listed in this table. This table has been constructed with the intention to be complete rather than pure and, as such, it will contain a large fraction of non-genuine extragalactic sources. Purer samples can be drawn using dedicated flags or queries. Please refer to Chapter~\ref{chap:cu3qso} of the on-line documentation for details about how this table was built, its content, and for recommendations regarding its exploitation.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier (unique within a particular Data Release)
meta.id
long
indexed
astrometric_selection_flag
Flag indicating if the source is part of the astrometric selection
meta.code.status
boolean
indexed
gaia_crf_source
Flag indicative of whether the source was used define the Gaia-CRF3
meta.code.status
boolean
indexed
vari_best_class_name
Name of best class, see table VariClassifierClassDefinition for details of the class
meta.code.class
char
indexed
vari_best_class_score
Score of the best class
stat.probability
float
indexed
fractional_variability_g
Fractional variability in the G band
src.var.amplitude;em.opt
float
structure_function_index
Index of the first-order structure function in the G band
src.var.index
float
structure_function_index_scatter
Standard deviation of the index of the structure function
stat.stdev
double
qso_variability
Quasar variability metric in the G band
src.var
float
non_qso_variability
Non-quasar variability metric in the G band
src.var
float
vari_agn_membership_score
Membership score (0=lowest,1=highest) of source to be of AGN type
stat.probability
double
indexed
classprob_dsc_combmod_quasar
Probability from DSC-Combmod of being a quasar (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classprob_dsc_combmod_galaxy
Probability from DSC-Combmod of being a galaxy (data used: BP/RP spectrum, photometry, astrometry)
stat.probability
float
indexed
classlabel_dsc
Class assigned by DSC based on the probability from its Combmod classifier
meta.code.class
char
indexed
classlabel_dsc_joint
Class assigned by DSC based on the probability from its Specmod and Allosmod classifiers
meta.code.class
char
indexed
classlabel_oa
Class assigned by OA the neuron that represents the source
meta.code.class
char
indexed
redshift_qsoc
Redshift from QSOC
src.redshift
float
indexed
redshift_qsoc_lower
Redshift lower confidence level from QSOC
stat.value;src.redshift
float
redshift_qsoc_upper
Redshift upper confidence level from QSOC
stat.value;src.redshift
float
ccfratio_qsoc
Value of the cross-correlation function used to derive the redshift from QSOC, relative to the maximum value
stat.value
float
zscore_qsoc
Redshift zscore from QSOC
stat.value;src.redshift
float
indexed
flags_qsoc
Processing flags for the analysis based on BP/RP Spectra from QSOC
meta.code.status
long
indexed
n_transits
Number of transits used for the morphological analysis
meta.number
int
intensity_quasar
Fitted intensity of the quasar at its center
'electron'.s**-1
phot.flux;em.opt
double
intensity_quasar_error
Error on the fitted intensity of the quasar at its center
'electron'.s**-1
stat.error;phot.flux;em.opt
double
intensity_hostgalaxy
Fitted intensity of the host galaxy at the effective radius
'electron'.s**-1
phot.flux;em.opt
double
intensity_hostgalaxy_error
Error on the fitted intensity of the host galaxy at effective radius
'electron'.s**-1
stat.error;phot.flux;em.opt
double
radius_hostgalaxy
Fitted effective radius of the host galaxy
mas
src.morph.param
double
radius_hostgalaxy_error
Error on the fitted effective radius of the host galaxy
mas
stat.error
double
sersic_index
Fitted sersic Index
src.morph.param
float
sersic_index_error
Error on the fitted sersic Index
stat.error
float
ellipticity_hostgalaxy
Fitted ellipticity of the host galaxy
src.ellipticity
double
ellipticity_hostgalaxy_error
Error on the fitted ellipticity of the host galaxy
stat.error;src.ellipticity
double
posangle_hostgalaxy
Fitted position angle of the host galaxy
deg
pos.posAng
double
posangle_hostgalaxy_error
Error on the fitted position angle of the host galaxy
deg
stat.error;pos.posAng
double
host_galaxy_detected
Flag indicating whether a host galaxy has been detected
stat.fit.param
boolean
indexed
l2_norm
L2 norm for the fitted Sersic profile
stat.fit.param
double
morph_params_corr_vec
Vector form of the upper triangle of the correlation matrix for the fitted morphological parameters
stat.correlation
double
host_galaxy_flag
Flag indicative of processing or scientific quality for the morphological parameters fitting
meta.code.qual
short
indexed
source_selection_flags
Bit indicative of whether the input data from a given module met the source list eligibility criteria for the source of interest
meta.code.status
int
indexed
gaiadr3.qso_catalogue_name
This table provides the list of input catalogues that have been used to select any given source for which morphological analysis parameters are provided in table \texttt{QsoCandidates}.
Each source may have been cross-matched to more than one catalogue and therefore can have several entries in the table.
For DR3, the catalogues considered for this selection are mostly external, although sources identified by DPAC based on the classification performed by other processing have also been included here.
Each catalogue is assigned a \texttt{catalogueId}. For DR3 the following applies:
\begin{itemize}
\item 1: CU7 GaiaVariQso2018
\item 2: ICRF2
\item 3: SDSS-DR12Q
\item 4: LQAC3
\item 5: Half Million Quasars
\item 6: Secrest+2015
\item 7: Assef+2018\_R90
\end{itemize}
Further details on these catalogues are given in the chapter on extended object processing (\secref{sec:cu4eo_list}).
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
catalogue_id
The unique identifier for the catalogue(s) used to select the sources in the morphological analysis
meta.id.assoc
short
indexed
gaiadr3.nss_acceleration_astro
This table contains non-single-star astrometric models for sources having a non-linear proper motion which is compatible with an acceleration solution. Several possible models are hosted within the same table and they are indicated by the field \texttt{nssSolutionType}. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field \texttt{bitIndex}, which can also be used to extract the relevant elements of the correlation vector \texttt{corrVec}. Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter~\ref{chap:cu4nss}.
solution_id
Solution Identifier
meta.version
long
source_id
Source Identifier
meta.id;meta.main
long
indexed
primary
nss_solution_type
NSS model adopted
meta.record
char
indexed
primary
ra
Right ascension
deg
pos.eq.ra;meta.main
stc:AstroCoords.Position3D.Value3.C1
double
indexed
primary
ra_error
Standard error of right ascension
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position3D.Error3.C1
float
dec
Declination
deg
pos.eq.dec;meta.main
stc:AstroCoords.Position3D.Value3.C2
double
indexed
primary
dec_error
Standard error of declination
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position3D.Error3.C2
float
parallax
Parallax
mas
pos.parallax
double
indexed
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax
float
indexed
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Value3.C1
double
indexed
primary
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Error3.C1
float
indexed
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Value3.C2
double
indexed
primary
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Error3.C2
float
indexed
accel_ra
Acceleration in RA
mas.yr**-2
phys.acceleration
double
primary
accel_ra_error
Standard error of Acceleration in RA
mas.yr**-2
stat.error;phys.acceleration
float
accel_dec
Acceleration in DEC
mas.yr**-2
phys.acceleration
double
primary
accel_dec_error
Standard error of Acceleration in DEC
mas.yr**-2
stat.error;phys.acceleration
float
deriv_accel_ra
Time derivative of the accel. in RA
mas.yr**-3
phys.acceleration
double
deriv_accel_ra_error
Standard error of Time derivative of the acceleration in RA
mas.yr**-3
stat.error;phys.acceleration
float
deriv_accel_dec
Time derivative of the accel. in DEC
mas.yr**-3
phys.acceleration
double
deriv_accel_dec_error
Standard error of Time derivative of the acceleration in DEC
mas.yr**-3
stat.error;phys.acceleration
float
astrometric_n_obs_al
Total astrometric CCD observations in AL considered
meta.number
int
astrometric_n_good_obs_al
Total astrometric CCD observations in AL actually used
meta.number
int
bit_index
Boolean mask for the fields above in the corrVec matrix
meta.code.status
long
indexed
corr_vec
Vector form of the upper triangle of the correlation matrix
stat.correlation
float
obj_func
Value of the objective function at the solution
stat.fit.param
float
goodness_of_fit
Goodness of fit in the Hipparcos sense
stat.fit.goodness
float
significance
The significance of the solution (i.e. how worth keeping a model is)
stat.fit.param
float
flags
Quality flag for the achieved NSS solution
meta.code.qual
long
gaiadr3.nss_non_linear_spectro
This table contains non-single-star orbital models for spectroscopic binaries compatible with a trend. Several possible models are hosted within the same table and they are indicated by the field \texttt{nssSolutionType}. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field \texttt{bitIndex}, which can also be used to extract the relevant elements of the correlation vector \texttt{corrVec}. Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter~\ref{chap:cu4nss}.
solution_id
Solution Identifier
meta.version
long
source_id
Source Identifier
meta.id;meta.main
long
indexed
nss_solution_type
NSS model adopted
meta.record
char
indexed
mean_velocity
Mean velocity
km.s**-1
phys.veloc
double
mean_velocity_error
Standard error of Mean velocity
km.s**-1
stat.error;phys.veloc
float
first_deriv_velocity
First order derivative of the velocity
km.s**-1.d**-1
phys.acceleration
double
first_deriv_velocity_error
Standard error of First order derivative of the velocity
km.s**-1.d**-1
stat.error;phys.acceleration
float
second_deriv_velocity
Second order derivative of the velocity
km.s**-1.d**-2
phys.acceleration
double
second_deriv_velocity_error
Standard error of Second order derivative of the velocity
km.s**-1.d**-2
stat.error;phys.acceleration
float
rv_n_obs_primary
Total number of radial velocities considered for the primary
meta.number
int
rv_n_good_obs_primary
Total number of radial velocities actually used for the primary
meta.number
int
bit_index
Boolean mask for the fields above in the corrVec matrix
meta.code.status
long
indexed
corr_vec
Vector form of the upper triangle of the correlation matrix
stat.correlation
float
obj_func
Value of the objective function at the solution
stat.fit.param
float
goodness_of_fit
Goodness of fit in the Hipparcos sense
stat.fit.goodness
float
flags
Quality flag for the achieved NSS solution
meta.code.status
long
gaiadr3.nss_two_body_orbit
This table contains non-single-star orbital models for sources compatible with an orbital two-body solution. This covers astrometric binaries, spectroscopic binaries, eclipsing binaries and certain combinations thereof. Several possible models are hosted within the same table and they are indicated by the field \texttt{nssSolutionType}. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field \texttt{bitIndex}, which can also be used to extract the relevant elements of the correlation vector \texttt{corrVec}. Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter~\ref{chap:cu4nss}. Warning: as a source may receive independent astrometric, spectroscopic or photometric orbits, a query using a given sourceId may return several solutions. This has to be accounted for when doing a crossmatch by sourceId.
solution_id
Solution Identifier
meta.version
long
source_id
Source Identifier
meta.id;meta.main
long
indexed
primary
nss_solution_type
NSS model adopted
meta.record
char
indexed
primary
ra
Right ascension
deg
pos.eq.ra;meta.main
stc:AstroCoords.Position3D.Value3.C1
double
indexed
primary
ra_error
Standard error of right ascension
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position3D.Error3.C1
float
dec
Declination
deg
pos.eq.dec;meta.main
stc:AstroCoords.Position3D.Value3.C2
double
indexed
primary
dec_error
Standard error of declination
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position3D.Error3.C2
float
parallax
Parallax
mas
pos.parallax
double
indexed
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax
float
indexed
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Value3.C1
double
indexed
primary
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Error3.C1
float
indexed
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Value3.C2
double
indexed
primary
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Error3.C2
float
indexed
a_thiele_innes
Thiele-Innes element A
mas
phys.angSize
double
a_thiele_innes_error
Standard error of Thiele-Innes element A
mas
stat.error;phys.angSize
float
b_thiele_innes
Thiele-Innes element B
mas
phys.angSize
double
b_thiele_innes_error
Standard error of Thiele-Innes element B
mas
stat.error;phys.angSize
float
f_thiele_innes
Thiele-Innes element F
mas
phys.angSize
double
f_thiele_innes_error
Standard error of Thiele-Innes element F
mas
stat.error;phys.angSize
float
g_thiele_innes
Thiele-Innes element G
mas
phys.angSize
double
g_thiele_innes_error
Standard error of Thiele-Innes element G
mas
stat.error;phys.angSize
float
c_thiele_innes
C element of Thiele-Innes
AU
phys.angSize;phys.angSize.smajAxis
double
c_thiele_innes_error
Standard error of C element of Thiele-Innes
AU
stat.error;phys.angSize;phys.angSize.smajAxis
float
h_thiele_innes
H element of Thiele-Innes
AU
phys.angSize;phys.angSize.smajAxis
double
h_thiele_innes_error
Standard error of H element of Thiele-Innes
AU
stat.error;phys.angSize;phys.angSize.smajAxis
float
period
Orbital Period
d
time.period
double
indexed
primary
period_error
Standard error of Orbital Period
d
stat.error;time.period
float
indexed
t_periastron
Periastron epoch
d
time.epoch
double
primary
t_periastron_error
Standard error of Periastron epoch
d
stat.error;time.epoch
float
eccentricity
eccentricity
src.orbital.eccentricity
double
primary
eccentricity_error
Standard error of eccentricity
stat.error;src.orbital.eccentricity
float
center_of_mass_velocity
The velocity of the center of mass
km.s**-1
phys.veloc
double
primary
center_of_mass_velocity_error
Standard error of The velocity of the center of mass
km.s**-1
stat.error;phys.veloc
float
semi_amplitude_primary
Semi-amplitude of the center of mass
km.s**-1
phys.veloc
double
indexed
primary
semi_amplitude_primary_error
Standard error of Semi-amplitude of the center of mass
km.s**-1
stat.error;phys.veloc
float
indexed
semi_amplitude_secondary
The semiamplitude of the radial velocity curve for second component
km.s**-1
phys.veloc
double
semi_amplitude_secondary_error
Standard error of The semiamplitude of the radial velocity curve for second component
km.s**-1
stat.error;phys.veloc
float
mass_ratio
Mass ratio
phys.mass;arith.ratio
double
primary
mass_ratio_error
Standard error of Mass ratio
stat.error
float
fill_factor_primary
Fill factor of primary
src.morph.param
double
fill_factor_primary_error
Standard error of Fill factor of primary
stat.error
float
fill_factor_secondary
Fill factor of secondary
src.morph.param
double
fill_factor_secondary_error
Standard error of Fill factor of secondary
stat.error
float
inclination
Orbital inclination
deg
src.orbital.inclination
double
primary
inclination_error
Standard error of Orbital inclination
deg
stat.error;src.orbital.inclination
float
arg_periastron
Argument of periastron
deg
src.orbital.periastron
double
primary
arg_periastron_error
Standard error of Argument of periastron
deg
stat.error;src.orbital.periastron
float
temperature_ratio
Ratio of the effective temperatures
phys.temperature;arith.ratio
double
temperature_ratio_error
Standard error of the ratio of the effective temperatures
stat.error;phys.temperature
double
temperature_ratio_definition
Code defining which fitting scenario did apply to the effective temperature
meta.number
short
astrometric_n_obs_al
Total astrometric CCD observations in AL considered
meta.number
int
astrometric_n_good_obs_al
Total astrometric CCD observations in AL actually used
meta.number
int
rv_n_obs_primary
Total number of radial velocities considered for the primary
meta.number
int
rv_n_good_obs_primary
Total number of radial velocities actually used for the primary
meta.number
int
rv_n_obs_secondary
Total number of radial velocities considered for the secondary in the case of SB2
meta.number
int
rv_n_good_obs_secondary
Total number of radial velocities actually used for the secondary in the case of SB2
meta.number
int
phot_g_n_obs
Total number of G photometry measurements considered
meta.number
int
phot_g_n_good_obs
Total number of G photometry measurements actually used
meta.number
int
bit_index
boolean mask for the fields above in the corrVec matrix
meta.code.status
long
indexed
corr_vec
Vector form of the upper triangle of the correlation matrix (column-major ordered)
stat.correlation
float
obj_func
value of the objective function at the solution
stat.fit.param
float
goodness_of_fit
goodness of fit in the Hipparcos sense
stat.fit.goodness
float
efficiency
Efficiency of the solution
stat.fit.param
float
significance
The significance of the solution (i.e. how worth keeping a model is)
stat.fit.param
float
flags
Quality flag for the achieved NSS solution
meta.code.qual
long
conf_spectro_period
The probability of the period for not being due to (gaussian white) noise. Relevant for SB1, SB1C, SB2 and SB2C models. To be ignored otherwise.
stat.probability
float
r_pole_sum
Sum of the polar radii of primary and secondary (in units of the semi-major axis)
phys.size.radius
double
r_l1_point_sum
L1-pointing radii of primary and secondary (in units of the semi-major axis)
phys.size.radius
double
r_spher_sum
Sum of the radii of sphere having the same volume as the primary and secondary (in units of the semi-major axis
phys.size.radius
double
ecl_time_primary
Time of mid-eclipse of the primary by the secondary
d
time.crossing
double
ecl_time_secondary
Time of mid-eclipse of the secondary by the primary
d
time.crossing
double
ecl_dur_primary
Duration of primary eclipse assuming spherical components
d
time.duration
double
ecl_dur_secondary
Duration of secondary eclipse assuming spherical components
d
time.duration
double
g_luminosity_ratio
Ratio of the G-band luminosity of the secondary over the primary
phys.luminosity;arith.ratio
double
input_period_error
Standard error of the period taken from VariEclipsingBinary.frequencyError
d
stat.error;time.period
float
g_rank
Rank of the G-band solution
stat.fit.param
double
astrometric_jitter
Uncorrelated astrometric jitter term
mas
stat.value
double
gaiadr3.nss_vim_fl
This table contains non-single-star models for sources compatible with an Variability Induced Mover (VIM) solution. Several possible models are in principle hosted within the same table and they are indicated by the field \texttt{nssSolutionType}. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field \texttt{bitIndex}, which can also be used to extract the relevant elements of the correlation vector \texttt{corrVec}. For DR3, only VIMF solutions are provided here. Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter~\ref{chap:cu4nss}.
solution_id
Solution Identifier
meta.version
long
source_id
Source Identifier
meta.id;meta.main
long
indexed
primary
nss_solution_type
NSS model adopted
meta.code.class
char
indexed
primary
ra
Right ascension
deg
pos.eq.ra;meta.main
stc:AstroCoords.Position3D.Value3.C1
double
indexed
primary
ra_error
Standard error of right ascension
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position3D.Error3.C1
float
dec
Declination
deg
pos.eq.dec;meta.main
stc:AstroCoords.Position3D.Value3.C2
double
indexed
primary
dec_error
Standard error of declination
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position3D.Error3.C2
float
parallax
Parallax
mas
pos.parallax
double
indexed
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax
float
indexed
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Value3.C1
double
indexed
primary
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Error3.C1
float
indexed
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Value3.C2
double
indexed
primary
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Error3.C2
float
indexed
ref_flux_g
Reference flux in the G band
'electron'.s**-1
phot.flux;em.opt
float
vim_d_ra
VIM coordinate in RA
mas
pos.eq.ra
double
primary
vim_d_ra_error
Standard error of VIM coordinate in RA
mas
stat.error;pos.eq.ra
float
vim_d_dec
VIM coordinate in DEC
mas
pos.eq.dec
double
primary
vim_d_dec_error
Standard error of VIM coordinate in DEC
mas
stat.error;pos.eq.dec
float
astrometric_n_obs_al
Total astrometric CCD observations in AL considered
meta.number
int
astrometric_n_good_obs_al
Total astrometric CCD observations in AL actually used
meta.number
int
bit_index
Boolean mask for the fields above in the corrVec matrix
meta.code.status
long
indexed
corr_vec
Vector form of the upper triangle of the correlation matrix
stat.correlation
float
obj_func
Value of the objective function at the solution
stat.fit.param
float
goodness_of_fit
Goodness of fit in the Hipparcos sense
stat.fit.goodness
float
efficiency
Efficiency of the solution
stat.fit.param
float
significance
The significance of the solution (i.e. how worth keeping a model is)
stat.fit.param
float
flags
Quality flag for the achieved NSS solution
meta.code.qual
long
gaiadr3.binary_masses
Masses derived from the non-single stars (NSS) solutions with orbital parameters in table {\tt gaiadr3.nss\_two\_body\_orbit}. The table below is described in detail in \cite{DR3-DPACP-100}. The table presents the different types of NSS orbital solutions combined and which parameters each combination allows to constrain:
\begin{tabular}{llccc}
\hline\hline
{\tt combinationMethod} & {\tt m1} & {\tt m2} & {\tt fluxratio} \\
\hline
Orbital+SB2 & \checkmark & \checkmark & \checkmark \\
EclipsingSpectro(SB2) & \checkmark & \checkmark & \\
Eclipsing+SB2 & \checkmark & \checkmark & \\
AstroSpectroSB1+M1 & & \checkmark & \checkmark \\
Orbital+SB1+M1 & & \checkmark & \checkmark \\
EclipsingSpectro+M1 & & \checkmark & \\
Eclipsing+SB1+M1 & & \checkmark & \\
SB2+M1 & & \checkmark & \\
Orbital+M1 & & lower/upper & \\
SB1+M1 & & lower & \\
\hline
\end{tabular}
source_id
Source Identifier
meta.id;meta.main
long
indexed
m1
Primary mass
solMass
phys.mass
float
indexed
m1_lower
Lower confidence level (16%) of the primary mass
solMass
phys.mass;stat.value
float
m1_upper
Upper confidence level (84%) of the primary mass
solMass
phys.mass;stat.value
float
m2
Secondary mass
solMass
phys.mass
float
indexed
m2_lower
Lower confidence level (16%) of the secondary mass
solMass
phys.mass;stat.value
float
indexed
m2_upper
Upper confidence level (84%) of the secondary mass
solMass
phys.mass;stat.value
float
indexed
fluxratio
Flux ratio of the secondary to the primary in the G-band
phys.luminosity;arith.ratio
float
fluxratio_lower
Lower value of the flux ratio
stat.value;phys.luminosity;arith.ratio
float
fluxratio_upper
Upper value of the flux ratio
stat.value;phys.luminosity;arith.ratio
float
combination_method
Combination of NSS solutions used
meta.record
char
m1_ref
Reference for the primary mass
meta.record
char
flag
Flag
meta.record
char
gaiadr3.chemical_cartography
Orbital parameters, actions, Galactocentric Cartesian coordinates and velocities for the sample of stars used in the DR3 chemical cartographic study of the Milky Way.
For further details see \cite{DR3-DPACP-104}.
solution_id
Solution Identifier
long
source_id
Source Identifier
meta.id;meta.main
long
indexed
jr_med
Median radial action per unit mass in units of 1967.3865 km/s kpc computed assuming the Staeckel approximation.
stat;stat.median
float
jz_med
Median vertical action per unit mass in units of 1967.3865 km/s kpc computed assuming the Staeckel approximation.
stat;stat.median
float
jphi_med
Median azimuthal action per unit mass (positive clockwise) in units of 1967.3865 km/s kpc. Equivalent to the median vertical component of the angular momentum.
phys;stat.median
float
indexed
rplane_med
Median in-plane projection of the Galactocentric distance.
kpc
pos.distance;stat.median
float
indexed
vrplane_med
Median Galactocentric radial velocity.
km.s**-1
phys.veloc;stat.median
float
vz_med
Median vertical velocity.
km.s**-1
phys.veloc;stat.median
float
vphi_med
Median Galactocentric azimuthal velocity (positive clockwise).
km.s**-1
phys.veloc.transverse;stat.median
float
zmax_med
Median maximum Galactic height (in absolute value) computed assuming the Staeckel approximation.
kpc
pos.cartesian.z;stat.median
float
indexed
rapo_med
Median of the maximum Galactocentric distance computed assuming the Staeckel approximation.
kpc
pos.distance;stat.median
float
rperi_med
Median of the minimum Galactocentric distance computed assuming the Staeckel approximation.
kpc
pos.distance;stat.median
float
ecc_med
Median orbital eccentricity computed assuming the Staeckel approximation.
stat;stat.median
float
indexed
x_med
Median of the Cartesian coordinate X.
kpc
pos.cartesian.x;stat.median
float
y_med
Median of the Cartesian coordinate Y.
kpc
pos.cartesian.y;stat.median
float
z_med
Median of the Cartesian coordinate Z.
kpc
pos.cartesian.z;stat.median
float
indexed
energy_med
Total energy per unit mass assuming median coordinates and velocities.
km**2.s**-2
phys;stat.median
float
indexed
jr_hi
Upper confidence limit of the radial action per unit mass in units of 1967.3865 km/s kpc computed assuming the Staeckel approximation.
stat;stat.max
float
jz_hi
Upper confidence limit of the vertical action per unit mass in units of 1967.3865 km/s kpc computed assuming the Staeckel approximation.
stat;stat.max
float
jphi_hi
Upper confidence limit of the azimuthal action per unit mass (positive clockwise) in units of 1967.3865 km/s kpc.
phys;stat.max
float
rplane_hi
Upper confidence limit of the in-plane projection of the Galactocentric distance.
kpc
pos.distance;stat.max
float
vrplane_hi
Upper confidence limit of the Galactocentric radial velocity.
km.s**-1
phys.veloc;stat.max
float
vz_hi
Upper confidence limit of the vertical velocity.
km.s**-1
phys.veloc;stat.max
float
vphi_hi
Upper confidence limit of the Galactocentric azimuthal velocity (positive clockwise). Equivalent to the upper confidence limit of the vertical component of the angular momentum.
km.s**-1
phys.veloc.transverse;stat.max
float
zmax_hi
Upper confidence limit of the maximum Galactic height (in absolute value) computed assuming the Staeckel approximation.
kpc
pos.cartesian.z;stat.max
float
rapo_hi
Upper confidence limit of the of the maximum Galactocentric distance computed assuming the Staeckel approximation.
kpc
pos.distance;stat.max
float
rperi_hi
Upper confidence limit of the of the minimum Galactocentric distance computed assuming the Staeckel approximation.
kpc
pos.distance;stat.max
float
ecc_hi
Upper confidence limit of the orbital eccentricity computed assuming the Staeckel approximation.
stat;stat.max
float
x_hi
Upper confidence limit of the Cartesian coordinate X.
kpc
pos.cartesian.x;stat.max
float
y_hi
Upper confidence limit of the Cartesian coordinate Y.
kpc
pos.cartesian.y;stat.max
float
z_hi
Upper confidence limit of the Cartesian coordinate Z.
kpc
pos.cartesian.z;stat.max
float
jr_lo
Lower confidence limit of the radial action per unit mass in units of 1967.3865 km/s kpc computed assuming the Staeckel approximation.
stat;stat.min
float
jz_lo
Lower confidence limit of the vertical action per unit mass in units of 1967.3865 km/s kpc computed assuming the Staeckel approximation.
stat;stat.min
float
jphi_lo
Lower confidence limit of the azimuthal action per unit mass (positive clockwise) in units of 1967.3865 km/s kpc. Equivalent to the lower confidence limit of the vertical component of the angular momentum.
phys;stat.min
float
rplane_lo
Lower confidence limit of the in-plane projection of the Galactocentric distance.
kpc
pos.distance;stat.min
float
vrplane_lo
Lower confidence limit of the Galactocentric radial velocity.
km.s**-1
phys.veloc;stat.min
float
vz_lo
Lower confidence limit of the vertical velocity.
km.s**-1
phys.veloc;stat.min
float
vphi_lo
Lower confidence limit of the Galactocentric azimuthal velocity (positive clockwise).
km.s**-1
phys.veloc.transverse;stat.min
float
zmax_lo
Lower confidence limit of the maximum Galactic height (in absolute value) computed assuming the Staeckel approximation.
kpc
pos.cartesian.z;stat;stat.min
float
rapo_lo
Lower confidence limit of the of the maximum Galactocentric distance computed assuming the Staeckel approximation.
kpc
pos.distance;stat.min
float
rperi_lo
Lower confidence limit of the of the minimum Galactocentric distance computed assuming the Staeckel approximation.
kpc
pos.distance;stat.min
float
ecc_lo
Lower confidence limit of the orbital eccentricity computed assuming the Staeckel approximation.
stat;stat.min
float
x_lo
Lower confidence limit of the Cartesian coordinate X.
kpc
pos.cartesian.x;stat.min
float
y_lo
Lower confidence limit of the Cartesian coordinate Y.
kpc
pos.cartesian.y;stat.min
float
z_lo
Lower confidence limit of the Cartesian coordinate Z.
kpc
pos.cartesian.z;stat.min
float
gaiadr3.gold_sample_carbon_stars
List of \textit{Gaia} DR3 source IDs for carbon stars extracted from the main list of candidate carbon stars for having C2 and CN molecular bands significantly stronger than usual M stars \citep{DR3-DPACP-123}.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
gaiadr3.gold_sample_fgkm_stars
Stellar astrophysical parameters of the golden sample of F, G, K, and M stars from \cite{DR3-DPACP-123}. Values are identical to the ones in the \texttt{astrophysical\_parameters} and \texttt{astrophysical\_parameters\_supp} tables, but only those values retained after filtering are copied over.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
teff_gspphot
Effective temperature from GSP-Phot Aeneas best library using BP/RP spectra
K
phys.temperature.effective
float
indexed
logg_gspphot
Surface gravity from GSP-Phot Aeneas best library using BP/RP spectra
log(cm.s**-2)
phys.gravity
float
indexed
mh_gspphot
Global metallicity from GSP-Phot Aeneas best library using BP/RP spectra
'dex'
phys.abund.Z
float
ag_gspphot
Extinction in G band from GSP-Phot Aeneas best library using BP/RP spectra
mag
phys.absorption;em.opt
float
ebpminrp_gspphot
Reddening E(BP-RP) from GSP-Phot Aeneas best library using BP/RP spectra
mag
phot.color.excess
float
indexed
alphafe_gspspec
Median abundance of alpha-elements [alphe/Fe] with respect to iron from GSP-Spec MatisseGauguin using RVS spectra and monte carlo realizations
'dex'
phys.abund;stat.median
float
teff_gspspec
Median value of the effective temperature from GSP-Spec MatisseGauguin monte carlo realizations using RVS spectra
K
phys.temperature.effective;stat.median
float
indexed
logg_gspspec
Median value of logarithm of the stellar surface gravity using RVS spectra and monte carlo realizations
log(cm.s**-2)
phys.gravity;stat.median
float
indexed
mh_gspspec
Median global metallicity [M/H] from GSP-Spec MatisseGauguin using RVS spectra and monte carlo realizations
'dex'
phys.abund.Fe;stat.median
float
indexed
radius_flame
Radius of the star derived from FLAME using teffGspphot and lumFlame
solRad
phys.size.radius
float
lum_flame
Luminosity of the star from FLAME using G band magnitude, extinction (agGspphot), parallax and a bolometric correction (bcFlame)
solLum
phys.luminosity
float
mass_flame
Mass of the star from FLAME using stellar models, lumFlame, and teffGspphot
solMass
phys.mass
float
indexed
age_flame
Age of the star from FLAME using stellar models, see massFlame for details
Gyr
time.age
float
evolstage_flame
Evolutionary stage of the star derived from FLAME using stellar models, see massFlame for details
src.class
int
indexed
radius_flame_spec
Radius of the star from FLAME using teffGspspec and lumFlameSpec
solRad
phys.size.radius
float
lum_flame_spec
Luminosity of the star from FLAME using G band magnitude, extinction (agGspphot), parallax and a bolometric correction (bcFlameSpec)
solLum
phys.luminosity
float
mass_flame_spec
Mass of the star from FLAME using stellar models, lumFlameSpec, and teffGspspec
solMass
phys.mass
float
indexed
age_flame_spec
Age of the star from FLAME using stellar models, see massFlameSpec for details
Gyr
time.age
float
evolstage_flame_spec
Evolutionary stage of the star derived from FLAME using stellar models, see massFlameSpec for details
src.class
int
indexed
spectraltype_esphs
Spectral type from ESP-HS
src.spType
char
indexed
gaiadr3.gold_sample_oba_stars
List of \textit{Gaia} DR3 source IDs of O, B, and A-type stars having an effective temperature estimate provided by ESP-HS or/and GSP-Phot greater than 7\,500~K. Based on the information available in the \textit{Gaia} DR3 catalogue, various filters were applied in order to reduce as much as possible the pollution from other types of targets. See \cite{DR3-DPACP-123} for more details.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
vtan_flag
Flag indicating whether the tangential velocity is above 180 km/s
meta.code.status
int
gaiadr3.gold_sample_solar_analogues
\textit{Gaia} DR3 source IDs of candidates for solar analogues selected from GSP-Spec via effective temperature, surface gravity and metallicity and from FLAME via mass and radius.
For more details please refer to \cite{DR3-DPACP-123}.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
gaiadr3.gold_sample_spss
Recommended parameters for the Gaia Spectro-Photometric Standard stars \citep{2021MNRAS.503.3660P}, selected as described in \cite{DR3-DPACP-123}, from the available parameters produced by CU8 \citep{DR3-DPACP-157} and CU6 \citep{DR3-DPACP-159}.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
spss_id
SPSS identifier
meta.id
int
spss_name
SPSS adopted name
meta.id
char
spectraltype
Spectral type
src.spType
char
bin_flag
Binary flag
meta.code.status
int
var_flag
Variability flag
meta.code.status
int
teff
Best effective temperature
K
phys.temperature.effective
float
teff_error
Uncertainty of the best effective temperature
K
stat.error;phys.temperature.effective
float
logg
Best surface gravity
log(cm.s**-2)
phys.gravity
float
logg_error
Uncertainty on the best surface gravity
log(cm.s**-2)
stat.error;phys.gravity
float
feh
Best iron abundance
'dex'
phys.abund.Fe
float
feh_error
Uncertainty on the best iron abundance
'dex'
stat.error;phys.abund.Fe
float
alphafe
Best alpha enhancement
'dex'
phys.abund
float
alphafe_error
Uncertainty on the best alpha enhancement
'dex'
stat.error;phys.abund
float
radius
Best radius
solRad
phys.size.radius
float
radius_error
Uncertainty on the best radius
solRad
stat.error;phys.size.radius
float
lum
Best luminosity
solLum
phys.luminosity
float
lum_error
Uncertainty on the best luminosity
solLum
stat.error;phys.luminosity
float
mass
Best mass
solMass
phys.mass
float
mass_error
Uncertainty on the best mass
solMass
stat.error;phys.mass
float
age
Best age
Gyr
time.age
float
age_error
Uncertainty on the best age
Gyr
stat.error;time.age
float
azero
Best extinction at 547.7 nm
mag
phys.absorption;em.opt
float
azero_error
Uncertainty on the best extinction at 547.7 nm
mag
stat.error;phys.absorption;em.opt
float
ag
Extinction in the G band
mag
phys.absorption;em.opt
float
ag_error
Uncertainty on the extinction in the G band
mag
stat.error;phys.absorption;em.opt
float
ebpminrp
Reddening in BP-RP
mag
phot.color.excess;em.opt
float
ebpminrp_error
Uncertainty on the reddening in BP-RP
mag
stat.error;phot.color.excess;em.opt
float
distancepc
Best distance
pc
pos.distance
float
distancepc_error
Uncertainty on the best distance
pc
stat.error;pos.distance
float
radial_velocity
Radial velocity
km.s**-1
spect.dopplerVeloc
float
radial_velocity_error
Uncertainty on the radial velocity
km.s**-1
stat.error;spect.dopplerVeloc
float
vsini
Best projected rotation
km.s**-1
phys.veloc.rotat
float
vsin_error
Uncertainty on the best projected rotation
km.s**-1
stat.error;phys.veloc.rotat
float
notes
Free text notes on this object
meta.note
char
gaiadr3.gold_sample_ucd
The table contains the bolometric luminosities and radii in solar units for a subset of ultracool dwarfs from the Gaia DR3 catalogue, as well as some intermediate quantities used in the selection of sources and in the derivation of the luminosities and radii.
For more details please refer to \cite{DR3-DPACP-123}.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
ftot_fobs
Correction factor applied to obtain the total SED flux
arith.factor
float
lum
Bolometric luminosity in solar units
solLum
phys.luminosity
float
lum_uncertainty
Uncertainty in bolometric luminosity
solLum
stat.error;phys.luminosity
float
radius
Radius in solar unit
solRad
phys.size.radius
float
radius_uncertainty
Uncertainty in radius
solRad
stat.error;phys.size.radius
float
reduced_chi2
Reduced chi-square of the SED fit
stat.fit.chi2
float
gaiadr3.sso_orbits
Orbital parameters and uncertainties computed from the {\tt sso\_observation} astrometric data. The content of the table is described in the DR3 publication \cite{DR3-DPACP-150}.
number_mp
SSO Number
meta.id;meta.main
int
indexed
denomination
Solar system object name
meta.id
char
osc_epoch
Reference epoch for osculating orbit
d
time.epoch
double
mean_anomaly
Mean anomaly
rad
src.orbital.meanAnomaly
double
arg_perihelion
Argument of perihelion
rad
src.orbital.periastron
double
long_asc_node
Longitude of ascending node
rad
src.orbital.node
double
inclination
Inclination
rad
src.orbital.inclination
double
eccentricity
Eccentricity
src.orbital.eccentricity
double
semi_major_axis
Semimajor axis
AU
pos.distance;src.orbital
double
orbital_elements_var_covar_matrix
var-covar matrix on elliptical elements at reference Epoch
stat.covariance
double
std_dev_semi_major_axis
Standard deviation on Semimajor axis
AU
stat.stdev
double
h_state_vector
Heliocentric State Vector at reference Epoch
'au, au.d**-1'
pos
double
h_state_vector_var_covar_matrix
Covariance matrix of the State Vector
stat.covariance
double
arc_length
Orbital arc length spanned by the observations
d
time.interval
double
num_observations
Number of observations
meta.number
int
gaiadr3.synthetic_photometry_gspc
Gaia Synthetic Photometry Catalogue (GSPC)
This is a catalogue of synthetic photometry generated from the Gaia BP/RP mean spectra in Data Release 3 and standardised using wide and reliable sets of external standard stars.
Only sources that have BP/RP mean spectra in Gaia DR3 can be included in this catalogue. Individual magnitudes and fluxes are included only if $F/\sigma_F>30$ in that passband, where $F$ and $\sigma_F$ are the flux and its uncertainty.
Synthetic photometry is provided in a selection of photometric systems.
Further details on the generation and composition of the catalogue are available in \cite{DR3-DPACP-93}.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
c_star
BP/RP excess factor corrected for the expected colour dependency
phot.color;arith.ratio
float
indexed
u_jkc_flux
U flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
phot.flux;em.opt.U
float
u_jkc_flux_error
Error on the U flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.U
float
u_jkc_mag
U magnitude in the Johnson-Kron-Cousins system
mag
phot.mag;em.opt.U
float
indexed
u_jkc_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
b_jkc_flux
B flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
phot.flux;em.opt.B
float
b_jkc_flux_error
Error on the B flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.B
float
b_jkc_mag
B magnitude in the Johnson-Kron-Cousins system
mag
phot.mag;em.opt.B
float
indexed
b_jkc_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
v_jkc_flux
V flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
phot.flux;em.opt.V
float
v_jkc_flux_error
Error on the V flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.V
float
v_jkc_mag
V magnitude in the Johnson-Kron-Cousins system
mag
phot.mag;em.opt.V
float
indexed
v_jkc_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
r_jkc_flux
R flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
phot.flux;em.opt.R
float
r_jkc_flux_error
Error on the R flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.R
float
r_jkc_mag
R magnitude in the Johnson-Kron-Cousins system
mag
phot.mag;em.opt.R
float
indexed
r_jkc_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
i_jkc_flux
I flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
phot.flux;em.opt.I
float
i_jkc_flux_error
Error on the I flux in the Johnson-Kron-Cousins system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.I
float
i_jkc_mag
I magnitude in the Johnson-Kron-Cousins system
mag
phot.mag;em.opt.I
float
indexed
i_jkc_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
u_sdss_flux
u flux in the SDSS system
W.m**-2.nm**-1
phot.flux;em.opt.U
float
u_sdss_flux_error
Error on the u flux in the SDSS system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.U
float
u_sdss_mag
u magnitude in the SDSS system
mag
phot.mag;em.opt.U
float
indexed
u_sdss_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
g_sdss_flux
g flux in the SDSS system
W.m**-2.nm**-1
phot.flux;em.opt.B
float
g_sdss_flux_error
Error on the g flux in the SDSS system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.B
float
g_sdss_mag
g magnitude in the SDSS system
mag
phot.mag;em.opt.B
float
indexed
g_sdss_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
r_sdss_flux
r flux in the SDSS system
W.m**-2.nm**-1
phot.flux;em.opt.R
float
r_sdss_flux_error
Error on the r flux in the SDSS system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.R
float
r_sdss_mag
r magnitude in the SDSS system
mag
phot.mag;em.opt.R
float
indexed
r_sdss_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
i_sdss_flux
i flux in the SDSS system
W.m**-2.nm**-1
phot.flux;em.opt.I
float
i_sdss_flux_error
Error on the i flux in the SDSS system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.I
float
i_sdss_mag
i magnitude in the SDSS system
mag
phot.mag;em.opt.I
float
indexed
i_sdss_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
z_sdss_flux
z flux in the SDSS system
W.m**-2.nm**-1
phot.flux;em.opt.I
float
z_sdss_flux_error
Error on the z flux in the SDSS system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.I
float
z_sdss_mag
z magnitude in the SDSS system
mag
phot.mag;em.opt.I
float
indexed
z_sdss_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
y_ps1_flux
y flux in the Pan-STARRS1 system
W.m**-2.nm**-1
phot.flux;em.IR.J
float
y_ps1_flux_error
Error on the y flux in the Pan-STARRS1 system
W.m**-2.nm**-1
stat.error;phot.flux;em.IR.J
float
y_ps1_mag
y magnitude in the Pan-STARRS1 system
mag
phot.mag;em.IR.J
float
indexed
y_ps1_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
f606w_acswfc_flux
F606W flux in the HST ACS/WFC system
W.m**-2.nm**-1
phot.flux;em.opt.V
float
f606w_acswfc_flux_error
Error on the F606W flux in the HST ACS/WFC system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.V
float
f606w_acswfc_mag
F606W magnitude in the HST ACS/WFC system
mag
phot.mag;em.opt.V
float
indexed
f606w_acswfc_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
f814w_acswfc_flux
F814W flux in the HST ACS/WFC system
W.m**-2.nm**-1
phot.flux;em.opt.I
float
f814w_acswfc_flux_error
Error on the F814W flux in the HST ACS/WFC system
W.m**-2.nm**-1
stat.error;phot.flux;em.opt.I
float
f814w_acswfc_mag
F814W magnitude in the HST ACS/WFC system
mag
phot.mag;em.opt.I
float
indexed
f814w_acswfc_flag
Flag indicating if G mag and BP-RP color of the source lie in the validated range
meta.code.qual
short
gaiadr3.vari_spurious_signals
Several statistics computed for all sources with published photometric time series which can help in the identification of sources that are affected by calibration issues resulting in, for example, spurious variability signals.
The table has a row for every source with {\tt GaiaSource.hasEpochPhotometry} set to TRUE and is described in detail in \cite{DR3-DPACP-164}.
source_id
Source Identifier
meta.id;meta.main
long
indexed
phot_variable_flag
Photometric variability flag
meta.code;src.var
char
in_andromeda_survey
Flag indicating that the source is present in the Gaia Andromeda Photometric Survey (GAPS)
meta.code.status
boolean
num_obs_common_all_bands
Number of observations in common for G, BP and RP bands, used in computation of the Spearman correlation excess factor fields
meta.number
short
indexed
num_obs_g_fov
Number of selected observations of G FoV transits, used in the frequency fields
meta.number
short
indexed
gls_freq_g_fov
Frequency identified by Generalised Least Squares period search on G FoV timeseries
d**-1
stat.value
double
indexed
gls_freq_ampl_g_fov
Normalised amplitude of the frequency identified by Generalised Least Squares period search on G FoV timeseries
stat.value
float
gls_freq_sde_g_fov
Signal Detection Efficiency (SDE) of the frequency identified by Generalised Least Squares period search on G FoV timeseries
stat.snr
float
gls_freq_fap_g_fov
False Alarm Probability (FAP) of the frequency identified by Generalised Least Squares period search on G FoV timeseries
stat.probability
double
nhm_fund_freq_g_fov
Fundamental frequency identified by non-linear harmonic modelling on G FoV timeseries, initialised by the Generalised Least Squares frequency
d**-1
stat.value
double
indexed
nhm_fund_freq_error_g_fov
Uncertainty of the fundamental frequency identified by non-linear harmonic modelling on G FoV timeseries
d**-1
stat.error
float
spearman_corr_exf_g_fov
G-band FoV photometry Spearman correlation with corrected flux excess factor
stat.correlation
float
indexed
num_obs_excl_epsl_g_fov
Number of G-band FoV photometry observations excluding EPSL, used for the IPD correlation and scan angle modelling in the G band
meta.number
short
indexed
spearman_corr_ipd_g_fov
G-band FoV photometry Spearman correlation with IPD model
stat.correlation
float
indexed
scan_angle_model_offset_g_fov
Magnitude offset of the scan angle model fit to G-band FoV photometry
mag
stat.fit.param
float
scan_angle_model_ampl_g_fov
Amplitude of the scan angle model fit to G-band FoV photometry
mag
stat.fit.param
float
indexed
scan_angle_model_ampl_sig_g_fov
Significance of the amplitude of the scan angle model fit to G-band FoV photometry
stat.fit.goodness
float
indexed
scan_angle_model_phase_g_fov
Phase of the scan angle model fit to G-band FoV photometry
deg
stat.fit.param
float
scan_angle_model_red_chi2_g_fov
Reduced Chi2 of the scan angle model fit to G-band FoV photometry
stat.fit.goodness
float
indexed
scan_angle_model_f2_g_fov
F2 goodness-of-fit of the scan angle model fit to G-band FoV photometry
stat.fit.goodness
float
indexed
spearman_corr_exf_bp
BP-band photometry Spearman correlation with corrected flux excess factor
stat.correlation
float
indexed
num_obs_excl_epsl_bp
Number of BP-band photometry observations excluding EPSL, used for the IPD correlation and scan angle modelling in the BP band
meta.number
short
indexed
spearman_corr_ipd_bp
BP-band Spearman correlation with IPD model
stat.correlation
float
indexed
scan_angle_model_offset_bp
Magnitude offset of the scan angle model fit to BP-band photometry
mag
stat.fit.param
float
scan_angle_model_ampl_bp
Amplitude of the scan angle model fit to BP-band photometry
mag
stat.fit.param
float
indexed
scan_angle_model_ampl_sig_bp
Significance of the amplitude of the scan angle model fit to BP-band photometry
stat.fit.goodness
float
indexed
scan_angle_model_phase_bp
Phase of the scan angle model fit to BP-band photometry
deg
stat.fit.param
float
scan_angle_model_red_chi2_bp
Reduced Chi2 of the scan angle model fit to BP-band photometry
stat.fit.goodness
float
indexed
scan_angle_model_f2_bp
F2 goodness-of-fit of the scan angle model fit to BP-band photometry
stat.fit.goodness
float
indexed
spearman_corr_exf_rp
RP-band photometry Spearman correlation with corrected flux excess factor
stat.correlation
float
indexed
num_obs_excl_epsl_rp
Number of RP-band photometry observations excluding EPSL, used for the IPD correlation and scan angle modelling in the RP band
meta.number
short
indexed
spearman_corr_ipd_rp
RP-band Spearman correlation with IPD model
stat.correlation
float
indexed
scan_angle_model_offset_rp
Magnitude offset of the scan angle model fit to RP-band photometry
mag
stat.fit.param
float
scan_angle_model_ampl_rp
Amplitude of the scan angle model fit to RP-band photometry
mag
stat.fit.param
float
indexed
scan_angle_model_ampl_sig_rp
Significance of the amplitude of the scan angle model fit to RP-band photometry
stat.fit.goodness
float
indexed
scan_angle_model_phase_rp
Phase of the scan angle model fit to RP-band photometry
deg
stat.fit.param
float
scan_angle_model_red_chi2_rp
Reduced Chi2 of the scan angle model fit to RP-band photometry
stat.fit.goodness
float
indexed
scan_angle_model_f2_rp
F2 goodness-of-fit of the scan angle model fit to RP-band photometry
stat.fit.goodness
float
indexed
gaiadr3.agn_cross_id
<p>Table <tt>AgnCrossId</tt> lists sources whose positions and proper motions define the celestial reference frame of Gaia catalogue.</p>
<p>
<tt>AgnCrossId</tt> lists the sources in Gaia (E)DR3 cross-matched to sources in a number of external AGN catalogues. The first column is the sources identifier in the external catalogue specified in the third column, the second column is the source identifier in Gaia (E)DR3.</p>
<p>The selection of sources and the quality of the Gaia-CRF3 are discussed in</p>
<p>EDR3-DPACP-133.</p>
source_name_in_catalogue
Identifier in the external catalogue
meta.id.cross;meta.main
char
source_id
Gaia source identifier
meta.id.cross
long
catalogue_name
Name of the external catalogue
meta.dataset
char
gaiadr3.frame_rotator_source
Sources used to compute the Gaia reference frame.
The AGIS frame rotator algorithm has two different parts: the reference
frame orientation; and the reference frame spin. The reference frame
orientation is fixed using the International Earth Rotation and
Reference System Service (=IERS) position of a subset of IERS sources
defining the third realization of the International Coordinate Reference
Frame (Charlot et al., 2020, submitted to A&A),
http://hpiers.obspm.fr/icrs-pc/newwww/icrf/index.php. The reference
frame spin is defined using the Gaia proper motion of a list of QSOs.
The reference frame algorithms have an outliers scheme. Hence for each
aspect we provide the considered sources and the used sources actually
used, and the number of used sources might be lower than the number of
considered sources.
source_id
Gaia source identifier
meta.id.cross
long
considered_for_reference_frame_orientation
Considered for the reference frame orientation
meta.code
boolean
used_for_reference_frame_orientation
Used for the reference frame orientation
meta.code
boolean
considered_for_reference_frame_spin
Considered for the reference frame spin
meta.code
boolean
used_for_reference_frame_spin
Used for the reference frame spin
meta.code
boolean
gaiadr3.gaia_crf3_xm
This table contains the full cross-match information for the Gaia-CRF3
sources. The Gaia-CRF3 sources were selected from the cross-matches
with 17 external QSO catalogues as detailed below (three of which are parts of ICRF3 described in the first paper).
For each Gaia-CRF3 source
the information in which external catalogue this source was found and
which name(s) this source has in those external catalogues is provided. The table
allows the user to get all sources from an external catalogue that
are in Gaia-CRF3.
The external catalogues from which the Gaia-CRF3 sources were compiled are:
\begin{itemize}
\item The third realization of the International Celestial Reference Frame by very long baseline interferometry \citep{2020A&A...644A.159C}
\item A New Version of the OCARS Catalogue of Optical Characteristics of Astrometric Radio Sources \citep{2018ApJS..239...20M} (the catalogue downloaded from \url{http://www.gaoran.ru/english/as/ac_vlbi/#OCARS} on 17 June 2020)
\item Identification of 1.4 Million Active Galactic Nuclei in the Mid-Infrared using WISE Data \citep{2015ApJS..221...12S}
\item The WISE AGN Catalogue \citep{2018ApJS..234...23A}
\item The Million Quasars (Milliquas) Catalogue, v6.4 \citep{2019arXiv191205614F} with the v6.5 (2020) update
\item The Sloan Digital Sky Survey Quasar Catalogue: Fourteenth data release \citep{2018A&A...613A..51P}
\item LQAC-5: The fifth release of the Large Quasar Astrometric Catalogue. A compilation of 592 809 objects with 398 697 Gaia counterparts \citep{2019A&A...624A.145S}
\item The Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey: The Fourth and Fifth Data Releases \citep{2019ApJS..240....6Y} -- see also \url{https://nadc.china-vo.org/data/article/20190107155838}
\item The large quasar reference frame (LQRF). An optical representation of the ICRS \citep{2009A&A...505..385A}
\item The 2dF QSO Redshift Survey - XII. The spectroscopic catalogue and luminosity function \citep{2004MNRAS.349.1397C}
\item The 5th edition of the Roma-BZCAT \citep{2015Ap&SS.357...75M}
\item 2WHSP: A multi-frequency selected catalogue of high energy and very high energy {\ensuremath{\gamma}}-ray blazars and blazar candidates \citep{2017A&A...598A..17C}
\item ALMA photometry of extragalactic radio sources \citep{2019MNRAS.485.1188B}
\item Catalogues of active galactic nuclei from Gaia and unWISE data \citep{2019MNRAS.489.4741S}
\item Quasar and galaxy classification in Gaia Data Release 2 \citep{2019MNRAS.490.5615B}
\end{itemize}
solution_id
Solution Identifier
meta.version
long
source_id
Gaia source identifier
meta.id;meta.main
long
indexed
icrf3sx
The flag describing if the Gaia-CRF3 source was found in ICRF3 S/X
meta.code.status
boolean
icrf3k
The flag describing if the Gaia-CRF3 source was found in ICRF3 K
meta.code.status
boolean
icrf3xka
The flag describing if the Gaia-CRF3 source was found in ICRF3 X/Ka
meta.code.status
boolean
icrf_name
The ICRF name of the source
meta.id.cross
char
indexed
iers_name
The IERS name of the source
meta.id.cross
char
ocars
The flag describing if the Gaia-CRF3 source was found in OCARS
meta.code.status
boolean
ocars_name
The name for this source in OCARS
meta.id.cross
char
aw15
The flag describing if the Gaia-CRF3 source was found in allWISE
meta.code.status
boolean
aw15_name
The name for this source in allWISE
meta.id.cross
char
r90
The flag describing if the Gaia-CRF3 source was found in the catalogue R90
meta.code.status
boolean
r90_name
The name for this source in R90
meta.id.cross
char
m65
The flag describing if the Gaia-CRF3 source was found in Milliquas v6.5
meta.code.status
boolean
m65_name
The name for this source in Milliquas v6.5
meta.id.cross
char
c75
The flag describing if the Gaia-CRF3 source was found in the catalogue C75
meta.code.status
boolean
c75_name
The name for this source in C75
meta.id.cross
char
dr14q
The flag describing if the Gaia-CRF3 source was found in the catalogue SDSS DR14Q
meta.code.status
boolean
dr14q_name
The name for this source in SDSS DR14Q
meta.id.cross
char
lqac5
The flag describing if the Gaia-CRF3 source was found in LQAC-5
meta.code.status
boolean
lqac5_name
The name for this source in LQAC-5
meta.id.cross
char
lamost5
The flag describing if the Gaia-CRF3 source was found in the LAMOST QSO catalogue
meta.code.status
boolean
lamost5_name
The name for this source in the LAMOST QSO catalogue
meta.id.cross
char
lqrf
The flag describing if the Gaia-CRF3 source was found in LQRF
meta.code.status
boolean
lqrf_name
The name for this source in LQRF
meta.id.cross
char
cat2qz
The flag describing if the Gaia-CRF3 source was found in 2QZ
meta.code.status
boolean
cat2qz_name
The name for this source in 2QZ
meta.id.cross
char
bzcat5
The flag describing if the Gaia-CRF3 source was found in Roma-BZCAT, v5
meta.code.status
boolean
bzcat5_name
The name for this source in Roma-BZCAT, v5
meta.id.cross
char
cat2whspj
The flag describing if the Gaia-CRF3 source was found in 2WHSPJ
meta.code.status
boolean
cat2whspj_name
The name for this source in 2WHSPJ
meta.id.cross
char
alma19
The flag describing if the Gaia-CRF3 source was found in the ALMA calibrator catalogue
meta.code.status
boolean
alma19_name
The name for this source in the ALMA calibrator catalogue
meta.id.cross
char
guw
The flag describing if the Gaia-CRF3 source was found in Gaia-unWISE
meta.code.status
boolean
guw_name
The name for this source in Gaia-unWISE
meta.id.cross
char
b19
The flag describing if the Gaia-CRF3 source was found in the Gaia DR2 quasar and galaxy classification catalogue
meta.code.status
boolean
b19_name
The name for this source in the Gaia DR2 quasar and galaxy classification catalogue
meta.id.cross
char
gaiadr3.alerts_mixedin_sourceids
Some photometric science alerts mix transits from their primary source and other sources in the catalogue. This is done when those sources are believed to be associated with a single, astrophysical source.
This table lists the identifier for these mixed-in sources, linking them to the primary sourceIds listed in table \texttt{ScienceAlerts}.
solution_id
Solution Identifier
meta.version
long
alert_source_id
Primary sourceId associated to the alert
meta.id;meta.main
long
indexed
mixed_in_source_id
Additional sourceId, if any, associated to the alert
meta.id.assoc
long
indexed
gaiadr3.science_alerts
Table containing all Gaia Photometric Science Alerts triggered in the period 25-07-2014 to 28-05-2017, i.e.~the time span covered by DR3.
A Gaia Photometric Science Alert is known to the community by its name Gaiannxyz where nn is the year number and xyz is an incrementing, alphabetic sequence starting at aaa. Science alerts have their details published on the WWW. Given the name of an alert, the URL for the published details can be derived, e.g.
\url{https://gsaweb.ast.cam.ac.uk/alerts/alert/Gaia18ahj} for alert Gaia18ahj.
The {\tt sourceId} associated to the alert may have other alternative matches in Gaia DR3. These other identifiers are listed in table \texttt{AlertsMixedinSourceids}.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
transit_id
Alerting transit identifier
meta.id
long
indexed
name
Name of alert
meta.id
char
solution_id
Solution Identifier
meta.version
long
gaiadr3.gaia_source_simulation
Table of sources realised according to the Gaia Object Generator (GOG)
simulation. Observed attributes are given with simulated observational
uncertainties.
This table contains the output of GOG. The values are obtained after
adding the corresponding uncertainty (based on the error models) to the
true values in table GaiaUniverseModel. Both the values and the
uncertainties are provided.
solution_id
Solution Identifier
meta.version
long
source_id
Long Identifier
meta.id
long
primary
ra
Right Ascension
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
primary
ra_error
Right Ascension error
mas
stat.error
float
dec
Declination
deg
pos.eq.dec;pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
primary
dec_error
Declination error
mas
stat.error
float
parallax
Parallax
mas
pos.parallax
float
primary
parallax_error
Parallax error
mas
stat.error
float
primary
pmra
Proper motion in RA
mas.yr**-1
pos.pm;pos.eq.ra
float
pmra_error
Error in RA proper motion
mas.yr**-1
stat.error
float
pmdec
Proper motion in dec
mas.yr**-1
pos.pm;pos.eq.dec
float
pmdec_error
Error in dec. proper motion
mas.yr**-1
stat.error
float
n_obs_al
Number of AL observations
meta.number
int
n_outliers_al
Number of outliers AL observations
meta.number
int
phot_g_mean_flux
Mean G flux
'electron'.s**-1
phot.flux;em.opt
float
phot_g_mean_flux_error
Mean G flux error
'electron'.s**-1
stat.error;phot.flux;em.opt
float
phot_g_mean_mag
Mean G magnitude
mag
phot.mag;em.opt
float
primary
phot_bp_mean_flux
Mean BP flux
'electron'.s**-1
phot.flux;em.opt.B
float
phot_bp_mean_flux_error
Mean BP flux error
'electron'.s**-1
stat.error;phot.flux;em.opt.B
float
phot_bp_mean_mag
Mean BP magnitude
mag
phot.mag;em.opt.B
float
phot_rp_mean_flux
Mean RP flux
'electron'.s**-1
phot.flux;em.opt.R
float
phot_rp_mean_flux_error
Mean RP flux error
'electron'.s**-1
stat.error;phot.flux;em.opt.R
float
phot_rp_mean_mag
Mean RP magnitude
mag
phot.mag;em.opt.R
float
phot_rvs_mean_flux
Mean RVS flux
'electron'.s**-1
phot.flux;em.opt.I
float
phot_rvs_mean_flux_error
Mean RVS flux error
'electron'.s**-1
stat.error;phot.flux;em.opt.I
float
phot_rvs_mean_mag
Mean RVS magnitude
mag
phot.mag;em.opt.I
float
radial_velocity
Radial velocity
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
float
primary
radial_velocity_error
Radial velocity error
km.s**-1
stat.error
float
primary
teff
Effective temperature
K
phys.temperature.effective
float
primary
teff_error
Effective temperature error
K
stat.error;phys.temperature.effective
float
vsini
v sin i
km.s**-1
phys.veloc.rotat
float
vsini_error
v sin i error
km.s**-1
stat.error;phys.veloc.rotat
float
a0
Extinction at 550 nm
mag
phys.absorption;em.opt.V
float
primary
a0_error
Extinction at 550 nm error
mag
stat.error;phys.absorption;em.opt.V
float
feh
Iron abundance
'dex'
phys.abund.Fe
float
primary
feh_error
Iron abundance error
'dex'
stat.error;phys.abund.Fe
float
logg
Surface gravity
log(cm.s**-2)
phys.gravity
float
logg_error
Surface gravity Error
log(cm.s**-2)
stat.error;phys.gravity
float
gaiadr3.gaia_universe_model
Table of simulated galactic stars according to the Gaia Universal Model
Simulation (GUMS). True values of the intrinsic simulated quantities
(astrometry, photometry and physical parameters) for the sources
generated by GOG using the Universe Model are given. No errors are
added.
source_extended_id
Extended source identifier
meta.number
char
source_id
Long Identifier
meta.number
long
primary
solution_id
Solution Identifier
meta.version
long
ra
Right Ascension
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
primary
dec
Declination
deg
pos.eq.dec
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
primary
barycentric_distance
Barycentric distance to the simulated source
pc
pos.distance
float
primary
pmra
Proper motion along right ascension
mas.yr**-1
pos.pm;pos.eq.ra
float
pmdec
Proper motion along declination
mas.yr**-1
pos.pm;pos.eq.dec
float
radial_velocity
Radial Velocity
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
float
primary
mag_g
Mean Apparent G magnitude
mag
phot.mag;em.opt
float
primary
mag_bp
Mean Apparent BP magnitude
mag
phot.mag;em.opt.B
float
mag_rp
Mean Apparent RP magnitude
mag
phot.mag;em.opt.R
float
mag_rvs
Mean Apparent RVS magnitude
mag
phot.mag;em.opt.I
float
v_i
(V-I) color
mag
phot.color;em.opt.V;em.opt.I
float
mean_absolute_v
Mean Absolute V magnitude
mag
phot.mag;em.opt.V
float
ag
Absorption in G
mag
phys.absorption;em.opt
float
primary
av
Absorption in V
mag
phys.absorption;em.opt.V
float
teff
Effective temperature
K
phys.temperature.effective
float
primary
spectral_type
spectral class + luminosity class
src.spType
char
logg
Surface gravity
log(cm.s**-2)
phys.gravity
float
feh
Metallicity
'dex'
phys.abund.Fe
float
primary
alphafe
Alpha elements
'dex'
phys.abund
float
mbol
Absolute bolometric magnitude
mag
phot.mag.bol
float
age
Age
Gyr
time.age
float
mass
Mass
solMass
phys.mass
float
radius
Radius
solRad
phys.size.radius
float
vsini
Rotational velocity
km.s**-1
phys.veloc.rotat
float
population
Population
meta.code.member
int
has_photocenter_motion
Boolean describing if the photocenter has or not motion
meta.code.status
boolean
nc
Number of components
meta.number
int
nt
Total number of object
meta.number
int
semimajor_axis
Semi major axis
AU
src.orbital
float
eccentricity
Eccentricity
src.orbital.eccentricity
float
inclination
Inclination
deg
src.orbital.inclination
float
longitude_ascending_node
Longitude of ascending node
deg
pos.bodyrc.lon
float
orbit_period
Period of the orbit
d
src.orbital
float
periastron_date
Date of periastron
d
src.orbital.periastron
float
periastron_argument
Periastron argument
deg
src.orbital.periastron
float
variability_type
Variability type
src.var
char
variability_amplitude
Amplitude of variability
mag
src.var;src.var.amplitude;em.opt
float
variability_period
Period of variability
d
src.var;time.period
float
variability_phase
Phase of variability
src.var;time.phase
float
r_env_r_star
Envelope characterisic for Be stars
meta
float
gaiadr3.sso_observation
Solar System object observations. Each table line contained data obtained during the transit of the source on a single CCD, during a single transit. The corresponding epoch is provided. Data not varying within the transit are repeated identically for all single observations of that transit.
solution_id
Solution Identifier
meta.version
long
source_id
Source identifier
meta.id;meta.main
long
indexed
denomination
standard MPC denomination of the asteroid
meta.id.cross
char
transit_id
Transit Identifier
meta.id
long
observation_id
Observation Identifier
meta.id
long
number_mp
Minor Planet number
meta.id.cross
long
indexed
epoch
Gaia-centric epoch TCB(Gaia)
d
time.epoch
stc:AstroCoords.Time.TimeInstant
double
indexed
epoch_err
Error in Gaiacentric epoch
d
stat.error;time.epoch
double
epoch_utc
Gaia-centric TCB epoch converted to UTC
d
time.epoch
stc.AstroCoords.Time.TimeInstant
double
ra
Right ascension of the source
deg
pos.eq.ra
stc:AstroCoords.Position2D.Value2.C1
double
indexed
dec
Declination of the source
deg
pos.eq.dec
stc:AstroCoords.Position2D.Value2.C2
double
indexed
ra_error_systematic
Standard error of right ascension - systematic
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position2D.Error2.C1
double
dec_error_systematic
Standard error of declination - systematic
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position2D.Error2.C2
double
ra_dec_correlation_systematic
Correlation of ra and dec errors - systematic
stat.correlation;pos.eq
double
ra_error_random
Standard error of right ascension - random
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position2D.Error2.C1
double
dec_error_random
Standard error of declination - random
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position2D.Error2.C2
double
ra_dec_correlation_random
Correlation of ra and dec errors - random
stat.correlation;pos.eq
double
g_mag
Calibrated G mag
mag
phot.mag;em.opt
double
g_flux
Average calibrated G flux for the transit
'electron'.s**-1
phot.mag;stat.mean
double
g_flux_error
Error on the G flux
'electron'.s**-1
stat.error;phot.flux
double
x_gaia
Barycentric x position of Gaia
AU
pos.cartesian.x;pos.barycenter
stc:AstroCoords.Position3D.Value3.C1
double
y_gaia
Barycentric y position of Gaia
AU
pos.cartesian.y;pos.barycenter
stc:AstroCoords.Position3D.Value3.C2
double
z_gaia
Barycentric z position of Gaia
AU
pos.cartesian.z;pos.barycenter
stc:AstroCoords.Position3D.Value3.C3
double
vx_gaia
Barycentric x velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.x
stc:AstroCoords.Velocity3D.Value3.C1
double
vy_gaia
Barycentric y velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.y
stc:AstroCoords.Velocity3D.Value3.C2
double
vz_gaia
Barycentric z velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.z
stc:AstroCoords.Velocity3D.Value3.C3
double
x_gaia_geocentric
Geocentric x position of Gaia
AU
pos.cartesian.x;pos.geocentric
stc:AstroCoords.Position3D.Value3.C1
double
y_gaia_geocentric
Geocentric y position of Gaia
AU
pos.cartesian.y;pos.geocentric
stc:AstroCoords.Position3D.Value3.C2
double
z_gaia_geocentric
Geocentric z position of Gaia
AU
pos.cartesian.z;pos.geocentric
stc:AstroCoords.Position3D.Value3.C3
double
vx_gaia_geocentric
Geocentric x velocity of Gaia
AU.d**-1
phys.veloc;pos.geocentric;pos.cartesian.x
stc:AstroCoords.Velocity3D.Value3.C1
double
vy_gaia_geocentric
Geocentric y velocity of Gaia
AU.d**-1
phys.veloc;pos.geocentric;pos.cartesian.y
stc:AstroCoords.Velocity3D.Value3.C2
double
vz_gaia_geocentric
Geocentric z velocity of Gaia
AU.d**-1
phys.veloc;pos.geocentric;pos.cartesian.z
stc:AstroCoords.Velocity3D.Value3.C3
double
position_angle_scan
Position angle of the scanning direction
deg
pos.posAng
double
astrometric_outcome_ccd
Result of processing the CCDs
meta.code.status
int
astrometric_outcome_transit
Result of processing the transit
meta.code.status
int
gaiadr3.sso_reflectance_spectrum
This table contains the mean BP/RP reflectance spectra of asteroids computed as the ratio between the asteroid flux and an averaged solar analogue flux. In each row, the reflectance spectrum of a given asteroid is given at a given wavelength. Entries for all asteroids are concatenated into a single table.
source_id
Source identifier
meta.id;meta.main
long
indexed
solution_id
Solution Identifier
meta.version
long
number_mp
Minor Planet number
meta.id.cross
long
denomination
standard MPC denomination of the asteroid
meta.id.cross
char
nb_samples
Nb samples in spectrum
meta.number
short
num_of_spectra
number of epoch spectra used to compute the average
stat.value
int
reflectance_spectrum
Reflectance spectrum
spect
float
reflectance_spectrum_err
Error in reflectance spectrum
stat.error
float
wavelength
Internally-calibrated wavelength of reflectance spectrum
nm
em.wl
float
indexed
reflectance_spectrum_flag
Reflectance spectrum value flag
meta.code.qual
short
gaiadr3.sso_source
This table contains data related to Solar System objects observed by Gaia. The quantities in the table are derived from data reduction and are associated to single objects.
solution_id
Solution Identifier
meta.version
long
indexed
source_id
Source identifier
meta.id;meta.main
long
indexed
num_of_obs
number of observations
meta.number
int
number_mp
Minor Planet number
meta.id.cross
long
indexed
denomination
standard MPC denomination of the asteroid
meta.id.cross
char
num_of_spectra
Number of epoch spectra used to compute the average
stat.fit.param
int
gaiadr3.xp_summary
This tables contains auxiliary information about the mean BP/RP spectrum of a given source. It should be used in order to refine queries on spectra and build dedicated samples before interrogating the DataLink protocol to download the results of those queries.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
solution_id
Solution Identifier
meta.version
long
bp_n_relevant_bases
Number of bases that are relevant for the representation of this mean BP spectrum
meta.number
short
bp_relative_shrinking
Measure of the relative shrinking of the coefficient vector when truncation is applied for the mean BP spectrum
meta.number
float
bp_n_measurements
Number of measurements used for the BP spectrum generation
stat.fit.param
short
indexed
bp_n_rejected_measurements
Number of rejected measurements in the BP spectrum generation
stat.fit.param
short
bp_standard_deviation
Standard deviation for the BP spectrum representation
'electron'.s**-1.pixel**-1
stat.stdev
float
indexed
bp_chi_squared
Chi squared for the BP spectrum representation
stat.fit.chi2
float
indexed
bp_n_transits
Number of transits contributing to the mean in BP
stat.fit.param
short
bp_n_contaminated_transits
Number of contaminated transits in BP
stat.fit.param
short
bp_n_blended_transits
Number of blended transits in BP
stat.fit.param
short
rp_n_relevant_bases
Number of bases that are relevant for the representation of this mean RP spectrum
stat.fit.param
short
rp_relative_shrinking
Measure of the relative shrinking of the coefficient vector when truncation is applied for the mean RP spectrum
stat.fit.param
float
rp_n_measurements
Number of measurements used for the RP spectrum generation
stat.fit.param
short
rp_n_rejected_measurements
Number of rejected measurements in the RP spectrum generation
stat.fit.param
short
rp_standard_deviation
Standard deviation for the RP spectrum representation
'electron'.s**-1.pixel**-1
stat.stdev
float
indexed
rp_chi_squared
Chi squared for the RP spectrum representation
stat.fit.chi2
float
indexed
rp_n_transits
Number of transits contributing to the mean in RP
stat.fit.param
short
rp_n_contaminated_transits
Number of contaminated transits in RP
stat.fit.param
short
rp_n_blended_transits
Number of blended transits in RP
stat.fit.param
short
gaiadr3.vari_agn
This table provides information on AGN properties.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
fractional_variability_g
Fractional variability in the G band
src.var
float
structure_function_index
Index of the first-order structure function in the G band
stat.param
float
structure_function_index_scatter
Standard deviation of the index of the structure function
stat.param
float
qso_variability
Quasar variability metric in the G band
src.var
float
non_qso_variability
Non-quasar variability metric in the G band
src.var
float
gaiadr3.vari_cepheid
This table describes the Cepheid stars.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
pf
Period corresponding to the fundamental pulsation mode in the G band time series
d
src.var;time.period
double
pf_error
Uncertainty of the \texttt{pf} period
d
stat.error;time.period
float
p1_o
Period corresponding to the first overtone pulsation mode in the G band time series
d
src.var;time.period
double
p1_o_error
Uncertainty of the \texttt{p1O} period
d
stat.error;time.period
float
epoch_g
Epoch of the maximum of the light curve in the G band
d
time.epoch;stat.max
stc:AstroCoords.Time.TimeInstant
double
epoch_g_error
Uncertainty on the epoch parameter \texttt{epochG}
d
stat.error;time.epoch
float
epoch_bp
Epoch of the maximum of the light curve in the BP band
d
time.epoch;stat.max
stc:AstroCoords.Time.TimeInstant
double
epoch_bp_error
Uncertainty on the epoch parameter \texttt{epochBp}
d
stat.error;time.epoch
float
epoch_rp
Epoch of the maximum of the light curve in the RP band
d
time.epoch;stat.max
stc:AstroCoords.Time.TimeInstant
double
epoch_rp_error
Uncertainty on the epoch parameter \texttt{epochRp}
d
stat.error;time.epoch
float
epoch_rv
Epoch of the minimum of the radial velocity curve
d
time.epoch;stat.max
double
epoch_rv_error
Uncertainty on the epoch parameter \texttt{epochRv}
d
stat.error;time.epoch
float
int_average_g
Intensity-averaged magnitude in the G band
mag
phot.mag;em.opt
float
int_average_g_error
Uncertainty on \texttt{intAverageG} parameter
mag
stat.error;phot.mag;em.opt
float
int_average_bp
Intensity-averaged magnitude in the BP band
mag
stat.error;phot.mag
float
int_average_bp_error
Uncertainty on \texttt{intAverageBp} parameter
mag
stat.error;phot.mag
float
int_average_rp
Intensity-averaged magnitude in the RP band
mag
stat.error;phot.mag
float
int_average_rp_error
Uncertainty on \texttt{intAverageRp} parameter
mag
stat.error;phot.mag
float
average_rv
Mean radial velocity
km.s**-1
spect.dopplerVeloc;stat.mean
float
average_rv_error
Uncertainty on \texttt{averageRv} parameter
km.s**-1
stat.error;spect.dopplerVeloc;stat.mean
float
peak_to_peak_g
Peak-to-peak amplitude of the G band light curve
mag
src.var.amplitude;em.opt
float
peak_to_peak_g_error
Uncertainty on the \texttt{peakToPeakG} parameter
mag
stat.error;src.var.amplitude;em.opt
float
peak_to_peak_bp
Peak-to-peak amplitude of the BP band light curve
mag
src.var.amplitude
float
peak_to_peak_bp_error
Uncertainty on the \texttt{peakToPeakBp} parameter
mag
stat.error;src.var.amplitude
float
peak_to_peak_rp
Peak-to-peak amplitude of the RP band light curve
mag
src.var.amplitude
float
peak_to_peak_rp_error
Uncertainty on the \texttt{peakToPeakRp} parameter
mag
stat.error;src.var.amplitude
float
peak_to_peak_rv
Peak-to-peak amplitude of the radial velocity curve
km.s**-1
spect.dopplerVeloc;stat.param
double
peak_to_peak_rv_error
Uncertainty on the \texttt{peakToPeakRv} parameter
km.s**-1
stat.error
double
metallicity
Metallicity of the star from the Fourier parameters of the light curve
'dex'
phys.abund.Z
float
metallicity_error
Uncertainty of the \texttt{metallicity} parameter
'dex'
stat.error;phys.abund.Z
float
r21_g
Fourier decomposition parameter \texttt{r21G}: A2/A1 (for G band)
stat.Fourier
float
r21_g_error
Uncertainty on the \texttt{r21G} parameter: A2/A1 (for G band)
stat.error
float
r31_g
Fourier decomposition parameter \texttt{r31G}: A3/A1 (for G band)
stat.Fourier
float
r31_g_error
Uncertainty on the \texttt{r31G} parameter: A3/A1 (for G band)
stat.error
float
phi21_g
Fourier decomposition parameter \texttt{phi21G}: phi2 - 2*phi1 (for G band)
rad
stat.Fourier
float
phi21_g_error
Uncertainty on the \texttt{phi21G} parameter: phi2 - 2*phi1 (for G band)
rad
stat.error
float
phi31_g
Fourier decomposition parameter \texttt{phi31G}: phi3 - 3*phi1 (for G band)
rad
stat.Fourier
float
phi31_g_error
Uncertainty on the \texttt{phi31G} parameter: phi3 - 3*phi1 (for G band)
rad
stat.error
float
num_clean_epochs_g
Number of G FoV epochs used in the fitting algorithm
meta.number
short
num_clean_epochs_bp
Number of BP epochs used in the fitting algorithm
meta.number
short
num_clean_epochs_rp
Number of RP epochs used in the fitting algorithm
meta.number
short
num_clean_epochs_rv
Number of radial velocity epochs used in the fitting algorithm
meta.number
short
zp_mag_g
Zero point (mag) of the final model of the G band light curve
mag
phot.calib;em.opt
float
zp_mag_bp
Zero point (mag) of the final model of the BP band light curve
mag
phot.calib;em.opt.B
float
zp_mag_rp
Zero point (mag) of the final model of the RP band light curve
mag
phot.calib;em.opt.R
float
num_harmonics_for_p1_g
Number of harmonics used to model the first periodicity of the G-band light curve
meta.number
short
num_harmonics_for_p1_bp
Number of harmonics used to model the first periodicity of the BP-band light curve
meta.number
short
num_harmonics_for_p1_rp
Number of harmonics used to model the first periodicity of the RP-band light curve
meta.number
short
num_harmonics_for_p1_rv
Number of harmonics used to model the first periodicity of the radial velocity curve
meta.number
short
reference_time_g
Reference time of the Fourier modelled G-band light curve
d
time.epoch
double
reference_time_bp
Reference time of the Fourier modelled BP-band light curve
d
time.epoch
double
reference_time_rp
Reference time of the Fourier modelled RP-band light curve
d
time.epoch
double
reference_time_rv
Reference time of the Fourier modelled radial velocity curve
d
time.epoch
double
fund_freq1
First frequency of the non-linear Fourier modelling
d**-1
stat.Fourier
double
fund_freq1_error
Error of the first frequency of the non-linear Fourier modelling
d**-1
stat.Fourier
float
fund_freq2
Second frequency of the non-linear Fourier modelling in the G band
d**-1
stat.Fourier
double
fund_freq2_error
Error of the second frequency of the non-linear Fourier modelling in the G band
d**-1
stat.Fourier
float
fund_freq1_harmonic_ampl_g
Amplitudes of the Fourier model for the first frequency in the G band
mag
src.var.amplitude
float
fund_freq1_harmonic_ampl_g_error
Errors of the amplitudes of the Fourier model for the first frequency in the G band
mag
stat.error
float
fund_freq1_harmonic_phase_g
Phases of the Fourier model for the first frequency in the G band
rad
stat.Fourier
float
fund_freq1_harmonic_phase_g_error
Errors of the phases of the Fourier model for the first frequency in the G band
rad
stat.error
float
fund_freq1_harmonic_ampl_bp
Amplitudes of the Fourier model for the first frequency in the BP band
mag
src.var.amplitude
float
fund_freq1_harmonic_ampl_bp_error
Errors of the amplitudes of the Fourier model for the first frequency in the BP band
mag
stat.error
float
fund_freq1_harmonic_phase_bp
Phases of the Fourier model for the first frequency in the BP band
rad
stat.Fourier
float
fund_freq1_harmonic_phase_bp_error
Errors of the phases of the Fourier model for the first frequency in the BP band
rad
stat.error
float
fund_freq1_harmonic_ampl_rp
Amplitudes of the Fourier model for the first frequency in the RP band
mag
src.var.amplitude
float
fund_freq1_harmonic_ampl_rp_error
Errors of the amplitudes of the Fourier model for the first frequency in the RP band
mag
stat.error
float
fund_freq1_harmonic_phase_rp
Phases of the Fourier model for the first frequency in the RP band
rad
stat.Fourier
float
fund_freq1_harmonic_phase_rp_error
Errors of the phases of the Fourier model for the first frequency in the RP band
rad
stat.error
float
fund_freq1_harmonic_ampl_rv
Amplitudes of the Fourier model for the first frequency of the radial velocity curve
km.s**-1
src.var.amplitude
float
fund_freq1_harmonic_ampl_rv_error
Errors of the amplitudes of the Fourier model for the first frequency of the radial velocity curve
km.s**-1
stat.error
float
fund_freq1_harmonic_phase_rv
Phases of the Fourier model for the first frequency of the radial velocity curve
rad
stat.Fourier
float
fund_freq1_harmonic_phase_rv_error
Errors of the phases of the Fourier model for the first frequency of the radial velocity curve
rad
stat.error
float
p2_o
Period corresponding to the second overtone pulsation mode (for multi mode pulsators) in the G band time series
d
src.var;time.period
double
p2_o_error
Uncertainty of the p2O period
d
stat.error;time.period
float
type_best_classification
Best type classification estimate out of: `DCEP, `T2CEP, `ACEP
meta.code.class;src.class
char
type2_best_sub_classification
Best subclassification estimate for typeBestClassification=`T2CEP out of: `BL_HER, `W_VIR,`RV_TAU
meta.code.class;src.class
char
mode_best_classification
Best mode classification estimate out of: `FUNDAMENTAL, `FIRST_OVERTONE, `SECOND_OVERTONE, `MULTI,`UNDEFINED, `NOT_APPLICABLE
meta.code.class;src.class
char
multi_mode_best_classification
Best multi mode DCEP classification out of: `F/1O, `F/2O, `1O/2O, `1O/3O, `2O/3O, `F/1O/2O, `1O/2O/3O
meta.code.class;src.class
char
gaiadr3.vari_classifier_class_definition
Table with detailed descriptions of published classes for each classifier described in {\tt VariClassifierDefinition} and used in table {\tt VariClassifierResult}.
In DR3, this table contains the details of a classifier with {\tt classifierName}=`nTransits:5+.
solution_id
Solution Identifier
meta.version
long
classifier_name
Name of the classifier that is detailed in this entry
meta.title
char
indexed
class_name
Name of the published class from this classifier
meta.code.class
char
indexed
class_description
Description of the published class from this classifier
meta.note
char
gaiadr3.vari_classifier_definition
Table with detailed descriptions of all classifiers used in table {\tt VariClassifierResult}.
Details of the published classes for each classifier can be found in {\tt VariClassifierClassDefinition}.
In DR3, this table contains the details of a classifier with {\tt classifierName}=`nTransits:5+.
solution_id
Solution Identifier
meta.version
long
classifier_name
Name of the classifier that is detailed in this entry
meta.title
char
indexed
classifier_description
Description of this classifier
meta.note
char
gaiadr3.vari_classifier_result
Table with variability classification results of all classifiers, which are identified by the {\tt classifierName} column. In DR3, multiple classifiers (depending on class) are combined into a single classifier with {\tt classifierName}=`nTransits:5+, which is described in {\tt VariClassifierDefinition} and identifies the classes defined in {\tt VariClassifierClassDefinition}.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
classifier_name
Classifier name used to produce this result, use for lookup in \texttt{VariClassifierDefinition} table
meta.title
char
indexed
best_class_name
Name of best class, see table \texttt{VariClassifierClassDefinition} for details of the class
meta.code.class
char
indexed
best_class_score
Score of the best class
meta.code.qual
float
gaiadr3.vari_compact_companion
This table describes the compact companion candidates.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
period
Orbital period
d
time.period
double
period_error
Orbital period error
d
stat.error;time.period
float
t0_g
G-band reference time
d
time.epoch
double
t0_g_error
G-band reference time error
d
stat.error;time.epoch
float
t0_bp
BP-band reference time
d
time.epoch
double
t0_bp_error
BP-band reference time error
d
stat.error;time.epoch
float
t0_rp
RP-band reference time
d
time.epoch
double
t0_rp_error
RP-band reference time error
d
stat.error;time.epoch
float
harmonic_model_params_g
G-band harmonics
mag
stat.Fourier
float
harmonic_model_params_g_error
G-band harmonics errors
mag
stat.Fourier
float
harmonic_model_params_bp
BP-band harmonics
mag
stat.Fourier
float
harmonic_model_params_bp_error
BP-band harmonics errors
mag
stat.Fourier
float
harmonic_model_params_rp
RP-band harmonics
mag
stat.Fourier
float
harmonic_model_params_rp_error
RP-band harmonics errors
mag
stat.Fourier
float
model_mean_g
Harmonics model mean G-band magnitude
mag
phot.mag;stat.mean
float
model_mean_g_error
Harmonics model mean G-band magnitude error
mag
stat.error
float
model_mean_bp
Harmonics model mean BP-band magnitude
mag
phot.mag;stat.mean
float
model_mean_bp_error
Harmonics model mean BP-band magnitude error
mag
stat.error
float
model_mean_rp
Harmonics model mean RP-band magnitude
mag
phot.mag;stat.mean
float
model_mean_rp_error
Harmonics model mean RP-band magnitude error
mag
stat.error
float
mod_min_mass_ratio
Modified minimum mass ratio
phys.mass;arith.ratio
float
mod_min_mass_ratio_one_sigma
15.9 percentile modified minimum mass ratio
phys.mass;arith.ratio
float
mod_min_mass_ratio_three_sigma
0.135 percentile modified minimum mass ratio
phys.mass;arith.ratio
float
alpha
alpha ellipsoidal coefficient
stat.fit.param
float
gaiadr3.vari_eclipsing_binary
This table describes the properties of the eclipsing binaries resulting from the variability analysis.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
global_ranking
Number between 0 (worst) and 1 (best)
stat.param
float
reference_time
Reference time used for the geometric model fit
d
time.epoch
double
frequency
Frequency of geometric model of the eclipsing binary light curve
d**-1
src.orbital
double
frequency_error
Uncertainty of \texttt{frequency}
d**-1
stat.error
float
geom_model_reference_level
Magnitude reference level of geometric model
mag
phot.mag;em.opt
float
geom_model_reference_level_error
Uncertainty of \texttt{geomModelReferenceLevel}
mag
stat.error;phot.mag;em.opt
float
geom_model_gaussian1_phase
Phase of the Gaussian 1 component
time.phase
float
geom_model_gaussian1_phase_error
Uncertainty of \texttt{geomModelGaussian1Phase}
stat.error;time.phase
float
geom_model_gaussian1_sigma
Standard deviation [phase] of Gaussian 1 component
stat.stdev
float
geom_model_gaussian1_sigma_error
Uncertainty of \texttt{geomModelGaussian1Sigma}
stat.error
float
geom_model_gaussian1_depth
Magnitude depth of Gaussian 1 component
mag
src.var.amplitude
float
geom_model_gaussian1_depth_error
Uncertainty of \texttt{geomModelGaussian1Depth}
mag
stat.error;src.var.amplitude
float
geom_model_gaussian2_phase
Phase of Gaussian 2 component
time.phase
float
geom_model_gaussian2_phase_error
Uncertainty of \texttt{geomModelGaussian2Phase}
stat.error;time.phase
float
geom_model_gaussian2_sigma
Standard deviation [phase] of Gaussian 2 component
stat.stdev
float
geom_model_gaussian2_sigma_error
Uncertainty of \texttt{geomModelGaussian2Sigma}
stat.error
float
geom_model_gaussian2_depth
Magnitude depth of Gaussian2 component
mag
src.var.amplitude
float
geom_model_gaussian2_depth_error
Uncertainty of \texttt{geomModelGaussian2Depth}
mag
stat.error;src.var.amplitude
float
geom_model_cosine_half_period_amplitude
Amplitude of the cosine component with half the period of the geometric model
mag
src.var.amplitude
float
geom_model_cosine_half_period_amplitude_error
Uncertainty of \texttt{geomModelCosineHalfPeriodAmplitude}
mag
stat.error;src.var.amplitude
float
geom_model_cosine_half_period_phase
Reference phase of the cosine component with half the period of the geometric model
time.phase
float
geom_model_cosine_half_period_phase_error
Uncertainty of \texttt{geomModelCosineHalfPeriodPhase}
stat.error;time.phase
float
model_type
Type of geometrical model of the light curve
meta.code.class
char
num_model_parameters
Number of free parameters of the geometric model
stat.fit.param
short
reduced_chi2
Reduced Chi2 of the geometrical model fit
stat.fit.chi2
float
derived_primary_ecl_phase
Primary eclipse: phase at geometrically deepest point
time.phase
float
derived_primary_ecl_phase_error
Primary eclipse: uncertainty of \texttt{derivedPrimaryEclPhase}
stat.error;time.phase
float
derived_primary_ecl_duration
Primary eclipse: duration [phase fraction]
time.duration
float
derived_primary_ecl_duration_error
Primary eclipse: uncertainty of \texttt{derivedPrimaryEclDuration}
stat.error;time.duration
float
derived_primary_ecl_depth
Primary eclipse: depth
mag
src.var.amplitude
float
derived_primary_ecl_depth_error
Primary eclipse: uncertainty of \texttt{derivedPrimaryEclDepth}
mag
stat.error;src.var.amplitude
float
derived_secondary_ecl_phase
Secondary eclipse: phase at geometrically second deepest point
time.phase
float
derived_secondary_ecl_phase_error
Secondary eclipse: uncertainty of \texttt{derivedSecondaryEclPhase}
stat.error;time.phase
float
derived_secondary_ecl_duration
Secondary eclipse: duration [phase fraction]
time.duration
float
derived_secondary_ecl_duration_error
Secondary eclipse: uncertainty of \texttt{derivedSecondaryEclDuration}
stat.error;time.duration
float
derived_secondary_ecl_depth
Secondary eclipse: depth
mag
src.var.amplitude
float
derived_secondary_ecl_depth_error
Secondary eclipse: uncertainty of \texttt{derivedSecondaryEclDepth}
mag
stat.error;src.var.amplitude
float
gaiadr3.vari_epoch_radial_velocity
This table contains the epoch radial velocity data points for a sub-set of variable stars. Each entry is a radial velocity in the solar barycentric reference frame for a given object and observation time.
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
transit_id
Transit unique identifier
meta.id
long
indexed
rv_obs_time
Observing time of the transit
d
time.epoch
spec:Spectrum.Data.TimeAxis.Value
double
radial_velocity
Barycentric radial velocity
km.s**-1
spect.dopplerVeloc.opt
double
radial_velocity_error
Barycentric radial velocity error
km.s**-1
stat.error;spect.dopplerVeloc.opt
double
rejected_by_variability
Rejected by DPAC variability processing (or variability analysis)
meta.code.status
boolean
solution_id
Solution Identifier
meta.version
long
gaiadr3.vari_long_period_variable
This table describes the Long Period Variable stars.
Some entries can be NaN when absent.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
frequency
Frequency of the LPV
d**-1
src.var.pulse
double
frequency_error
Error on the frequency
d**-1
stat.error;src.var.pulse
float
amplitude
Amplitude of the LPV variability
mag
src.var.amplitude
float
median_delta_wl_rp
Median of the pseudo-wavelength separations between the two highest peaks in RP spectra
em.wl;stat.median
float
is_cstar
Flag to mark C-stars
meta.code.class
boolean
gaiadr3.vari_microlensing
This table describes the microlensing events.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
paczynski0_g0
G-band magnitude baseline (level 0)
mag
phot.mag;em.opt
float
paczynski0_g0_error
Error of G-band magnitude baseline (level 0)
mag
stat.error;phot.mag;em.opt
float
paczynski0_bp0
BP-band magnitude baseline (level 0)
mag
phot.mag;em.opt.B
float
paczynski0_bp0_error
Error of BP-band magnitude baseline (level 0)
mag
stat.error;phot.mag;em.opt.B
float
paczynski0_rp0
RP-band magnitude baseline (level 0)
mag
phot.mag;em.opt.R
float
paczynski0_rp0_error
Error of RP-band magnitude baseline (level 0)
mag
stat.error;phot.mag;em.opt.R
float
paczynski0_u0
Impact parameter (level 0)
stat.param
double
paczynski0_u0_error
Error of the impact parameter (level 0)
stat.error
double
paczynski0_te
Event timescale (level 0)
d
time.epoch
float
paczynski0_te_error
Error of event timescale (level 0)
d
stat.error;time.epoch
float
paczynski0_tmax
Time of maximum amplification (level 0)
d
time;stat.max
double
paczynski0_tmax_error
Error of time of maximum amplification (level 0)
d
stat.error
double
paczynski0_chi2
Chi square of level 0 Paczynski fit
stat.fit.chi2
float
paczynski0_chi2_dof
Reduced chi square of level 0 Paczynski fit
stat.fit.chi2
float
paczynski1_g0
G-band magnitude baseline (level 1)
mag
phot.mag;em.opt
float
paczynski1_g0_error
Error of G-band magnitude baseline (level 1)
mag
stat.error;phot.mag;em.opt
float
paczynski1_bp0
BP-band magnitude baseline (level 1)
mag
phot.mag;em.opt.B
float
paczynski1_bp0_error
Error of BP-band magnitude baseline (level 1)
mag
stat.error;phot.mag;em.opt.B
float
paczynski1_rp0
RP-band magnitude baseline (level 1)
mag
phot.mag;em.opt.R
float
paczynski1_rp0_error
Error of RP-band magnitude baseline (level 1)
mag
stat.error;phot.mag;em.opt.R
float
paczynski1_u0
Impact parameter (level 1)
stat.param
double
paczynski1_u0_error
Error of the impact parameter (level 1)
stat.error
double
paczynski1_te
Event timescale (level 1)
d
time.epoch
float
paczynski1_te_error
Error of event timescale (level 1)
d
stat.error;time.epoch
float
paczynski1_tmax
Time of maximum amplification (level 1)
d
time;stat.max
double
paczynski1_tmax_error
Error of time of maximum amplification (level 1)
d
stat.error;time
double
paczynski1_fs_g
Blending factor in G-band (level 1)
stat.param
float
paczynski1_fs_g_error
Error of blending factor in G-band (level 1)
stat.error
float
paczynski1_fs_bp
Blending factor in BP-band (level 1)
stat.param
float
paczynski1_fs_bp_error
Error of blending factor in BP-band (level 1)
stat.error
float
paczynski1_fs_rp
Blending factor in RP-band (level 1)
stat.param
float
paczynski1_fs_rp_error
Error of blending factor in RP-band (level 1)
stat.error
float
paczynski1_chi2
Chi square of level 1 Paczynski fit
stat.fit.chi2
float
paczynski1_chi2_dof
Reduced chi square of level 1 Paczynski fit
stat.fit.chi2
float
gaiadr3.vari_ms_oscillator
This table describes the main-sequence oscillators.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
frequency1
Best frequency
d**-1
src.var.pulse
double
fap_g_freq1
False alarm probability corresponding to the best frequency
stat.probability
float
amplitude_g_freq1
Half peak-to-peak amplitude in the G band of the best frequency
mag
src.var.amplitude
float
phase_g_freq1
Phase of the oscillation in the G band corresponding to best frequency
rad
time.phase
float
num_harmonics
Number of significant harmonics of the best frequency
meta.number
short
amplitude_g_freq1_harm2
Half peak-to-peak amplitude in the G band of the second harmonic of the best frequency
mag
stat.Fourier.amplitude
float
phase_g_freq1_harm2
Phase of the oscillation in the G band corresponding to the second harmonic of the best frequency
rad
time.phase
float
amplitude_g_freq1_harm3
Half peak-to-peak amplitude in the G band of the third harmonic of the best frequency
mag
stat.Fourier.amplitude
float
phase_g_freq1_harm3
Phase of the oscillation in the G band corresponding to the third harmonic of the best frequency
rad
time.phase
float
gaiadr3.vari_planetary_transit
This table describes the Planetary Transit candidate events.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
transit_reference_time
Mid-transit reference time
d
time
double
transit_period
Most probable transit period
d
time.period
double
transit_depth
Transit depth
mmag
phot.mag;src.var.amplitude
float
transit_duration
Transit duration
d
time.duration
float
num_in_transit
Number of in-transit observations
meta.number
short
gaiadr3.vari_planetary_transit_13june2022
This table describes the Planetary Transit candidate events.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
transit_reference_time
Mid-transit reference time
d
time
double
transit_period
Most probable transit period
d
time.period
double
transit_depth
Transit depth
mmag
phot.mag;src.var.amplitude
float
transit_duration
Transit duration
d
time.duration
float
num_in_transit
Number of in-transit observations
meta.number
short
gaiadr3.vari_rad_vel_statistics
Statistical parameters of radial velocity time series, using only transits not rejected, see {\tt rejectedByVariability} column in {\tt VariEpochRadialVelocity}.
Note that NaN will be reported when the parameter value is missing or cannot be calculated.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
num_selected_rv
Total number of radial velocity transits selected for variability analysis
meta.number
short
mean_obs_time_rv
Mean observation time for radial velocity transits
d
time.epoch;stat.mean
stc:AstroCoords.Time.TimeInstant
double
time_duration_rv
Time duration of the time series for radial velocity transits
d
time.duration
float
min_rv
Minimum radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.min
float
max_rv
Maximum radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.max
float
mean_rv
Mean radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.mean
float
median_rv
Median radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.median
float
range_rv
Difference between the highest and lowest radial velocity transits
km.s**-1
spect.dopplerVeloc.opt;arith.diff
float
std_dev_rv
Square root of the unweighted radial velocity variance
km.s**-1
stat.stdev;spect.dopplerVeloc.opt
float
skewness_rv
Standardized unweighted radial velocity skewness
spect.dopplerVeloc.opt;stat.param
float
kurtosis_rv
Standardized unweighted radial velocity kurtosis
spect.dopplerVeloc.opt;stat.param
float
mad_rv
Median Absolute Deviation (MAD) for radial velocity transits
km.s**-1
spect.dopplerVeloc.opt;stat.param
float
abbe_rv
Abbe value for radial velocity transits
spect.dopplerVeloc.opt;stat.param
float
iqr_rv
Interquartile range for radial velocity transits
km.s**-1
spect.dopplerVeloc.opt;stat.param
float
gaiadr3.vari_rotation_modulation
This table describes the solar-like stars with rotational modulation.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
num_segments
Number of segments
meta.number
short
segments_start_time
Times at which segments start
d
meta.dataset;time.start
stc:AstroCoords.Time.TimeInstant
double
segments_end_time
Times at which segments end
d
meta.dataset;time.end
stc:AstroCoords.Time.TimeInstant
double
segments_colour_mag_intercept
Colour-Magnitude Intercept in segments
stat.fit.param
float
segments_colour_mag_intercept_error
Colour-Magnitude Intercept uncertainty in segments
stat.error;stat.fit.param
float
segments_colour_mag_slope
Colour-Magnitude Slope in segments
stat.fit.param
float
segments_colour_mag_slope_error
Colour-Magnitude Slope uncertainty in segments
stat.error;stat.fit.param
float
segments_correlation_coefficient
Correlation coefficient in segments
stat.correlation
float
segments_correlation_significance
Correlation coefficient significance in segments
stat.correlation
float
num_outliers
Number of outliers
meta.number
short
outliers_time
Times at which outliers occurs
d
meta.dataset;time
stc:AstroCoords.Time.TimeInstant
double
segments_rotation_period
Rotation period in segment
d
phys.veloc.rotat;time.period
double
segments_rotation_period_error
Rotation period uncertainty in segment
d
stat.error;phys.veloc.rotat;time.period
float
segments_rotation_period_fap
FAP on rotation period in segment
stat.probability
float
best_rotation_period
Best rotation period
d
phys.veloc.rotat;time.period
double
best_rotation_period_error
Error on best rotation period
d
stat.error;phys.veloc.rotat;time.period
float
segments_g_unspotted
The unspotted G mags in segment
mag
phot.mag;em.opt
float
segments_g_unspotted_error
The unspotted G mag uncertainties in segment
mag
stat.error;phot.mag;em.opt
float
segments_bp_unspotted
The unspotted BP mag in segment
mag
phot.mag;em.opt.B
float
segments_bp_unspotted_error
The unspotted BP mag uncertainties in segment
mag
stat.error;phot.mag;em.opt.B
float
segments_rp_unspotted
The unspotted RP mag in segment
mag
phot.mag;em.opt.R
float
segments_rp_unspotted_error
The unspotted RP mag uncertainties in segment
mag
stat.error;phot.mag;em.opt.R
float
g_unspotted
Unspotted G mag
mag
phot.mag;em.opt
float
g_unspotted_error
Unspotted G mag uncertainty
mag
stat.error;em.opt;phot.mag
float
bp_unspotted
Unspotted BP mag
mag
phot.mag;em.opt.B
float
bp_unspotted_error
Unspotted BP mag uncertainty
mag
stat.error;phot.mag;em.opt.B
float
rp_unspotted
Unspotted RP mag
mag
phot.mag;em.opt.R
float
rp_unspotted_error
Unspotted RP mag uncertainty
mag
stat.error;phot.mag;em.opt.R
float
segments_g_cos_term
Coefficient of cosine term of linear fit in segment in the G band
mag
stat.fit.param
float
segments_g_cos_term_error
Errors on cosine terms in the G band
mag
stat.error
float
segments_g_sin_term
Coefficient of sine term of linear fit in segment in the G band
mag
stat.fit.param
float
segments_g_sin_term_error
Errors on sine terms in the G band
mag
stat.error
float
segments_g_a0_term
Constant term (A0) of linear fit in segment in the G band
mag
stat.fit.param
float
segments_g_a0_term_error
Errors on constant terms in the G band
mag
stat.error
float
segments_bp_cos_term
Coefficient of cosine term of linear fit in segment in the BP band
mag
stat.fit.param
float
segments_bp_cos_term_error
Errors on cosine terms in the BP band
mag
stat.error
float
segments_bp_sin_term
Coefficient of sine term of linear fit in segment in the BP band
mag
stat.fit.param
float
segments_bp_sin_term_error
Errors on sine terms in the BP band
mag
stat.error
float
segments_bp_a0_term
Constant term (A0) of linear fit in segment in the BP band
mag
stat.fit.param
float
segments_bp_a0_term_error
Errors on constant terms in the BP band
mag
stat.error
float
segments_rp_cos_term
Coefficient of cosine term of linear fit in segment in the RP band
mag
stat.fit.param
float
segments_rp_cos_term_error
Errors on cosine terms in the RP band
mag
stat.error
float
segments_rp_sin_term
Coefficient of sine term of linear fit in segment in the RP band
mag
stat.fit.param
float
segments_rp_sin_term_error
Errors on sine terms in the RP band
mag
stat.error
float
segments_rp_a0_term
Constant term (A0) of linear fit in segment in the RP band
mag
stat.fit.param
float
segments_rp_a0_term_error
Errors on constant terms in the RP band
mag
stat.error
float
segments_g_activity_index
Activity Index in segment (computed in G band)
mag
src.var.amplitude
float
segments_g_activity_index_error
error on Activity index in segment (computed in G band)
mag
stat.error;src.var.amplitude
float
segments_bp_activity_index
Activity Index in segment (computed in BP band)
mag
src.var.amplitude
float
segments_bp_activity_index_error
error on Activity index in segment (computed in BP band)
mag
stat.error;src.var.amplitude
float
segments_rp_activity_index
Activity Index in segment (computed in RP band)
mag
src.var.amplitude
float
segments_rp_activity_index_error
error on Activity index in segment (computed in RP band)
mag
stat.error;src.var.amplitude
float
max_activity_index_g
The maximum Activity Index in the G band
mag
src.var.amplitude
float
max_activity_index_g_error
Error on maximum activity index in the G band
mag
stat.error;src.var.amplitude
float
segments_bp_rp_corr_coeff
Pearson coefficient between BP and RP in segment
stat.correlation
float
segments_bp_rp_corr_signif
Significance associated with Pearson coefficient
stat.fit.param
float
segments_bp_rp_intercept
Intercept of regression fit of RP vs BP magnitudes in the segment
mag
stat.fit.param
float
segments_bp_rp_intercept_error
Error on intercept of regression fit of RP vs BP magnitudes in the segment
mag
stat.error
float
segments_bp_rp_slope
Slope of regression fit of RP vs BP magnitudes in the segment
stat.fit.param
float
segments_bp_rp_slope_error
Error on slope of regression fit of RP vs BP magnitudes in the segment
stat.error
float
segments_model_reference_time
Time used as reference time for the period search procedure in the segment
d
time.epoch
double
segments_g_chi_square
Array of chisquares for linear models (G band)
stat.fit.chi2
float
segments_bp_chi_square
Array of chisquares for linear models (BP band)
stat.fit.chi2
float
segments_rp_chi_square
Array of chisquares for linear models (RP band)
stat.fit.chi2
float
gaiadr3.vari_rrlyrae
This table describes the RR Lyrae stars.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
pf
Period corresponding to the fundamental pulsation mode in the G band time series
d
src.var;time.period
double
pf_error
Uncertainty of the \texttt{pf} period
d
stat.error;time.period
float
p1_o
Period corresponding to the first overtone pulsation mode in the G band time series
d
src.var;time.period
double
p1_o_error
Uncertainty of the \texttt{p1O} period
d
stat.error;time.period
float
epoch_g
Epoch of the maximum of the light curve in the G band
d
time.epoch;stat.max
stc:AstroCoords.Time.TimeInstant
double
epoch_g_error
Uncertainty on the epoch parameter \texttt{epochG}
d
stat.error;time.epoch
float
epoch_bp
Epoch of the maximum of the light curve in the BP band
d
time.epoch;stat.max
stc:AstroCoords.Time.TimeInstant
double
epoch_bp_error
Uncertainty on the epoch parameter \texttt{epochBp}
d
stat.error;time.epoch
float
epoch_rp
Epoch of the maximum of the light curve in the RP band
d
time.epoch;stat.max
stc:AstroCoords.Time.TimeInstant
double
epoch_rp_error
Uncertainty on the epoch parameter \texttt{epochRp}
d
stat.error;time.epoch
float
epoch_rv
Epoch of the minimum of the radial velocity curve
d
time.epoch;stat.max
double
epoch_rv_error
Uncertainty on the epoch parameter \texttt{epochRv}
d
stat.error;time.epoch
float
int_average_g
Intensity-averaged magnitude in the G band
mag
phot.mag;em.opt
float
int_average_g_error
Uncertainty on \texttt{intAverageG} parameter
mag
stat.error;phot.mag;em.opt
float
int_average_bp
Intensity-averaged magnitude in the BP band
mag
stat.error;phot.mag
float
int_average_bp_error
Uncertainty on \texttt{intAverageBp} parameter
mag
stat.error;phot.mag
float
int_average_rp
Intensity-averaged magnitude in the RP band
mag
stat.error;phot.mag
float
int_average_rp_error
Uncertainty on \texttt{intAverageRp} parameter
mag
stat.error;phot.mag
float
average_rv
Mean radial velocity
km.s**-1
spect.dopplerVeloc;stat.mean
float
average_rv_error
Uncertainty on \texttt{averageRv} parameter
km.s**-1
stat.error;spect.dopplerVeloc;stat.mean
float
peak_to_peak_g
Peak-to-peak amplitude of the G band light curve
mag
src.var.amplitude;em.opt
float
peak_to_peak_g_error
Uncertainty on the \texttt{peakToPeakG} parameter
mag
stat.error;src.var.amplitude;em.opt
float
peak_to_peak_bp
Peak-to-peak amplitude of the BP band light curve
mag
src.var.amplitude
float
peak_to_peak_bp_error
Uncertainty on the \texttt{peakToPeakBp} parameter
mag
stat.error;src.var.amplitude
float
peak_to_peak_rp
Peak-to-peak amplitude of the RP band light curve
mag
src.var.amplitude
float
peak_to_peak_rp_error
Uncertainty on the \texttt{peakToPeakRp} parameter
mag
stat.error;src.var.amplitude
float
peak_to_peak_rv
Peak-to-peak amplitude of the radial velocity curve
km.s**-1
spect.dopplerVeloc;stat.param
double
peak_to_peak_rv_error
Uncertainty on the \texttt{peakToPeakRv} parameter
km.s**-1
stat.error
double
metallicity
Metallicity of the star from the Fourier parameters of the light curve
'dex'
phys.abund.Z
float
metallicity_error
Uncertainty of the \texttt{metallicity} parameter
'dex'
stat.error;phys.abund.Z
float
r21_g
Fourier decomposition parameter \texttt{r21G}: A2/A1 (for G band)
stat.Fourier
float
r21_g_error
Uncertainty on the \texttt{r21G} parameter: A2/A1 (for G band)
stat.error
float
r31_g
Fourier decomposition parameter \texttt{r31G}: A3/A1 (for G band)
stat.Fourier
float
r31_g_error
Uncertainty on the \texttt{r31G} parameter: A3/A1 (for G band)
stat.error
float
phi21_g
Fourier decomposition parameter \texttt{phi21G}: phi2 - 2*phi1 (for G band)
rad
stat.Fourier
float
phi21_g_error
Uncertainty on the \texttt{phi21G} parameter: phi2 - 2*phi1 (for G band)
rad
stat.error
float
phi31_g
Fourier decomposition parameter \texttt{phi31G}: phi3 - 3*phi1 (for G band)
rad
stat.Fourier
float
phi31_g_error
Uncertainty on the \texttt{phi31G} parameter: phi3 - 3*phi1 (for G band)
rad
stat.error
float
num_clean_epochs_g
Number of G FoV epochs used in the fitting algorithm
meta.number
short
num_clean_epochs_bp
Number of BP epochs used in the fitting algorithm
meta.number
short
num_clean_epochs_rp
Number of RP epochs used in the fitting algorithm
meta.number
short
num_clean_epochs_rv
Number of radial velocity epochs used in the fitting algorithm
meta.number
short
zp_mag_g
Zero point (mag) of the final model of the G band light curve
mag
phot.calib;em.opt
float
zp_mag_bp
Zero point (mag) of the final model of the BP band light curve
mag
phot.calib;em.opt.B
float
zp_mag_rp
Zero point (mag) of the final model of the RP band light curve
mag
phot.calib;em.opt.R
float
num_harmonics_for_p1_g
Number of harmonics used to model the first periodicity of the G-band light curve
meta.number
short
num_harmonics_for_p1_bp
Number of harmonics used to model the first periodicity of the BP-band light curve
meta.number
short
num_harmonics_for_p1_rp
Number of harmonics used to model the first periodicity of the RP-band light curve
meta.number
short
num_harmonics_for_p1_rv
Number of harmonics used to model the first periodicity of the radial velocity curve
meta.number
short
reference_time_g
Reference time of the Fourier modelled G-band light curve
d
time.epoch
double
reference_time_bp
Reference time of the Fourier modelled BP-band light curve
d
time.epoch
double
reference_time_rp
Reference time of the Fourier modelled RP-band light curve
d
time.epoch
double
reference_time_rv
Reference time of the Fourier modelled radial velocity curve
d
time.epoch
double
fund_freq1
First frequency of the non-linear Fourier modelling
d**-1
stat.Fourier
double
fund_freq1_error
Error of the first frequency of the non-linear Fourier modelling
d**-1
stat.Fourier
float
fund_freq2
Second frequency of the non-linear Fourier modelling in the G band
d**-1
stat.Fourier
double
fund_freq2_error
Error of the second frequency of the non-linear Fourier modelling in the G band
d**-1
stat.Fourier
float
fund_freq1_harmonic_ampl_g
Amplitudes of the Fourier model for the first frequency in the G band
mag
src.var.amplitude
float
fund_freq1_harmonic_ampl_g_error
Errors of the amplitudes of the Fourier model for the first frequency in the G band
mag
stat.error
float
fund_freq1_harmonic_phase_g
Phases of the Fourier model for the first frequency in the G band
rad
stat.Fourier
float
fund_freq1_harmonic_phase_g_error
Errors of the phases of the Fourier model for the first frequency in the G band
rad
stat.error
float
fund_freq1_harmonic_ampl_bp
Amplitudes of the Fourier model for the first frequency in the BP band
mag
src.var.amplitude
float
fund_freq1_harmonic_ampl_bp_error
Errors of the amplitudes of the Fourier model for the first frequency in the BP band
mag
stat.error
float
fund_freq1_harmonic_phase_bp
Phases of the Fourier model for the first frequency in the BP band
rad
stat.Fourier
float
fund_freq1_harmonic_phase_bp_error
Errors of the phases of the Fourier model for the first frequency in the BP band
rad
stat.error
float
fund_freq1_harmonic_ampl_rp
Amplitudes of the Fourier model for the first frequency in the RP band
mag
src.var.amplitude
float
fund_freq1_harmonic_ampl_rp_error
Errors of the amplitudes of the Fourier model for the first frequency in the RP band
mag
stat.error
float
fund_freq1_harmonic_phase_rp
Phases of the Fourier model for the first frequency in the RP band
rad
stat.Fourier
float
fund_freq1_harmonic_phase_rp_error
Errors of the phases of the Fourier model for the first frequency in the RP band
rad
stat.error
float
fund_freq1_harmonic_ampl_rv
Amplitudes of the Fourier model for the first frequency of the radial velocity curve
km.s**-1
src.var.amplitude
float
fund_freq1_harmonic_ampl_rv_error
Errors of the amplitudes of the Fourier model for the first frequency of the radial velocity curve
km.s**-1
stat.error
float
fund_freq1_harmonic_phase_rv
Phases of the Fourier model for the first frequency of the radial velocity curve
rad
stat.Fourier
float
fund_freq1_harmonic_phase_rv_error
Errors of the phases of the Fourier model for the first frequency of the radial velocity curve
rad
stat.error
float
best_classification
Best RR Lyrae classification estimate out of: {`RRc, `RRab, `RRd}
meta.code.class;src.class
char
indexed
g_absorption
Interstellar absorption in the G-band
mag
phys.absorption.gal
float
g_absorption_error
Error on the interstellar absorption in the G-band
mag
stat.error;phys.absorption.gal
float
gaiadr3.vari_short_timescale
This table describes the short-timescale sources.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
amplitude_estimate
Amplitude estimate of all per-CCD G-band photometry (95th quantile - 5th quantile)
mag
src.var.amplitude;phot.mag;em.opt
float
number_of_fov_transits
Number of FoV transits with more than 7 CCD measurements after time series cleaning
meta.number
short
mean_of_fov_abbe_values
Mean of per-FoV Abbe values derived from per-CCD G-band photometry
stat.value
float
variogram_num_points
Number of selected timescale(s) derived from the variogram
meta.number
short
variogram_char_timescales
Characteristic timescale(s) of variability
d
time
float
variogram_values
Variogram values associated with the {\tt variogramCharTimescales}
mag**2
stat.value
double
frequency
Frequency search result for either G CCD, G FoV, BP or RP photometry
d**-1
src.var;time.period
double
gaiadr3.vari_summary
Summary table that provides the information on where a {\tt sourceId} can be found in the different {\tt Variability} tables and statistical parameters of time series, using only transits not rejected.
Note that NULL is reported when the statistical parameter value is missing or cannot be calculated.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
num_selected_g_fov
Total number of G FOV transits selected for variability analysis
meta.number
short
mean_obs_time_g_fov
Mean observation time for G FoV transits
d
time.epoch;stat.mean
stc:AstroCoords.Time.TimeInstant
double
time_duration_g_fov
Time duration of the time series for G FoV transits
d
time.duration
float
min_mag_g_fov
Minimum G FoV magnitude
mag
phot.mag;stat.min
float
max_mag_g_fov
Maximum G FoV magnitude
mag
phot.mag;stat.max
float
mean_mag_g_fov
Mean G FoV magnitude
mag
phot.mag;stat.mean
float
median_mag_g_fov
Median G FoV magnitude
mag
phot.mag;stat.median
float
range_mag_g_fov
Difference between the highest and lowest G FoV magnitudes
mag
phot.mag;em.opt;arith.diff
float
trimmed_range_mag_g_fov
Trimmed difference between the highest and lowest G FoV magnitudes
mag
phot.mag;em.opt;arith.diff
float
std_dev_mag_g_fov
Square root of the unweighted G FoV magnitude variance
mag
stat.stdev;phot.mag;em.opt
float
skewness_mag_g_fov
Standardized unweighted G FoV magnitude skewness
stat.value;phot.mag;em.opt
float
kurtosis_mag_g_fov
Standardized unweighted G FoV magnitude kurtosis
stat.value;phot.mag;em.opt
float
mad_mag_g_fov
Median Absolute Deviation (MAD) for G FoV transits
mag
stat.value;phot.mag;em.opt
float
abbe_mag_g_fov
Abbe value for G FoV transits
stat.value;phot.mag;em.opt
float
iqr_mag_g_fov
Interquartile range for G FoV transits
mag
stat.value;phot.mag;em.opt
float
stetson_mag_g_fov
Stetson G FoV variability index
src.var.index
float
std_dev_over_rms_err_mag_g_fov
Signal-to-Noise G FoV estimate
stat.snr
float
outlier_median_g_fov
Greatest absolute deviation from the G FoV median normalized by the error
stat.fit.param
float
num_selected_bp
Total number of BP observations selected for variability analysis
meta.number
short
mean_obs_time_bp
Mean observation time for BP observations
d
time.epoch;stat.mean
stc:AstroCoords.Time.TimeInstant
double
time_duration_bp
Time duration of the BP time series
d
time.duration
float
min_mag_bp
Minimum BP magnitude
mag
phot.mag;stat.min
float
max_mag_bp
Maximum BP magnitude
mag
phot.mag;stat.max
float
mean_mag_bp
Mean BP magnitude
mag
phot.mag;stat.mean
float
median_mag_bp
Median BP magnitude
mag
phot.mag;stat.median
float
range_mag_bp
Difference between the highest and lowest BP magnitudes
mag
phot.mag;em.opt.B;arith.diff
float
trimmed_range_mag_bp
Trimmed difference between the highest and lowest BP magnitudes
mag
phot.mag;em.opt.B;arith.diff
float
std_dev_mag_bp
Square root of the unweighted BP magnitude variance
mag
stat.stdev;phot.mag;em.opt.B
float
skewness_mag_bp
Standardized unweighted BP magnitude skewness
stat.value;phot.mag;em.opt.B
float
kurtosis_mag_bp
Standardized unweighted BP magnitude kurtosis
stat.value;phot.mag;em.opt.B
float
mad_mag_bp
Median Absolute Deviation (MAD) for BP observations
mag
stat.value;phot.mag;em.opt.B
float
abbe_mag_bp
Abbe value for BP observations
stat.value;phot.mag;em.opt.B
float
iqr_mag_bp
Interquartile BP magnitude range
mag
stat.value;phot.mag;em.opt.B
float
stetson_mag_bp
Stetson BP variability index
src.var.index
float
std_dev_over_rms_err_mag_bp
Signal-to-Noise BP estimate
stat.snr
float
outlier_median_bp
Greatest absolute deviation from the BP median normalized by the error
stat.fit.param
float
num_selected_rp
Total number of RP observations selected for variability analysis
meta.number
short
mean_obs_time_rp
Mean observation time for RP observations
d
time.epoch;stat.mean
stc:AstroCoords.Time.TimeInstant
double
time_duration_rp
Time duration of the RP time series
d
time.duration
float
min_mag_rp
Minimum RP magnitude
mag
phot.mag;stat.min
float
max_mag_rp
Maximum RP magnitude
mag
phot.mag;stat.max
float
mean_mag_rp
Mean RP magnitude
mag
phot.mag;stat.mean
float
median_mag_rp
Median RP magnitude
mag
phot.mag;stat.median
float
range_mag_rp
Difference between the highest and lowest RP magnitudes
mag
phot.mag;em.opt.R;arith.diff
float
trimmed_range_mag_rp
Trimmed difference between the highest and lowest RP magnitudes
mag
phot.mag;em.opt.R;arith.diff
float
std_dev_mag_rp
Square root of the unweighted RP magnitude variance
mag
stat.stdev;phot.mag;em.opt.R
float
skewness_mag_rp
Standardized unweighted RP magnitude skewness
stat.value;phot.mag;em.opt.R
float
kurtosis_mag_rp
Standardized unweighted RP magnitude kurtosis
stat.value;phot.mag;em.opt.R
float
mad_mag_rp
Median Absolute Deviation (MAD) for RP observations
mag
stat.value;phot.mag;em.opt.R
float
abbe_mag_rp
Abbe value for RP observations
stat.value;phot.mag;em.opt.R
float
iqr_mag_rp
Interquartile RP magnitude range
mag
stat.value;phot.mag;em.opt.R
float
stetson_mag_rp
Stetson RP variability index
src.var.index
float
std_dev_over_rms_err_mag_rp
Signal-to-Noise RP estimate
stat.snr
float
outlier_median_rp
Greatest absolute deviation from the RP median normalized by the error
stat.fit.param
float
in_vari_classification_result
Source is present in \texttt{VariClassifierResult}
meta.record
boolean
in_vari_rrlyrae
Source is present in \texttt{VariRrlyrae}
meta.record
boolean
in_vari_cepheid
Source is present in \texttt{VariCepheid}
meta.record
boolean
in_vari_planetary_transit
Source is present in \texttt{VariPlanetaryTransit}
meta.record
boolean
in_vari_short_timescale
Source is present in \texttt{VariShortTimescale}
meta.record
boolean
in_vari_long_period_variable
Source is present in \texttt{VariLongPeriodVariable}
meta.record
boolean
in_vari_eclipsing_binary
Source is present in \texttt{VariEclipsingBinary}
meta.record
boolean
in_vari_rotation_modulation
Source is present in \texttt{VariRotationModulation}
meta.record
boolean
in_vari_ms_oscillator
Source is present in \texttt{VariMsOscillator}
meta.record
boolean
in_vari_agn
Source is present in \texttt{VariAgn}
meta.record
boolean
in_vari_microlensing
Source is present in \texttt{VariMicrolensing}
meta.record
boolean
in_vari_compact_companion
Source is present in \texttt{VariCompactCompanion}
meta.record
boolean
gaiadr3.tycho2tdsc_merge
Tycho-2 merged with the TDSC catalog and TDSC supplement.
The Tycho Double Star Catalogue, (TDSC, ) contains 98482 components of
double and multiple systems processed in the Tycho-2 context. It
includes either original Tycho-2 data or results from a dedicated
re-processing aimed at binaries. As pointed out by P. Marrese (personal
communication), the TDSC star with identifier 29583 is redundant and it
was therefore skipped. The TDSC supplement contains data from an
additional 4777 components from either Hipparcos or Tycho-1.
The Tycho-2 main catalogue contains 2539913 sources, including many
binaries, but a minimum separation of 0.8 arcsec was imposed during the
catalogue construction. The Tycho-2 supplement-1 contains data for 17588
Hipparcos and Tycho-1 stars, which do not appear in the main catalogue,
but only the 4777 stars relevant for TDSC are included here. The Tycho-2
supplement-2 contains an additional 1146 Tycho-1 stars of poor quality.
We have merged Tycho-2 (main) with the TDSC main and supplement, keeping
the Tycho-2 data model and extending it to include TDSC–specific fields.
This is only possible to a certain degree as specified in detail below.
In particular, Tycho-2 includes fields for mean position, proper motion
etc. for a combination of Tycho-2 and several ground based catalogues.
These fields are inherited for TDSC main stars, but were not derived for
the TDSC supplement, where we only provide HIP proper motions. For
Tycho-2 stars not in TDSC, blank TDSC fields were appended.
For Tycho-2 stars in TDSC, the following fields were replaced by the
corresponding TDSC fields:
- tyc1, tyc2, tyc3;
- hip;
- ccdm.
In addition, if the TDSC contains a new solution:
- btMag, eBtMag, vtMag, eVtMag, raDeg, deDeg, epRa1990, epDe1990,
eRaDeg, eDeDec;
- The mean position flag, pflag, is set to ‘P’ (“photocentre") if
resolved and there are Tycho-2 mean positions. Mean position
etc. are then repeated for both new components;
- The proximity indicator, prox, is set to blank if the Tycho-2 star
was resolved in TDSC;
- The type-of-solution flag, posflg, set to ‘N’;
- For resolved Tycho-2 stars, two records are given.
For the few TDSC stars with new solutions, but not in Tycho-2, and for
the TDSC supplement stars (Hipparcos or Tycho-1), the Tycho-2 part of
the merged record was populated in the following way:
- TYC1..3 from TDSC;
- pflag set to TDSC pmflg (‘H’ or ‘X’), ‘H’ indicating Hip proper
motions;
- no mean position and related fields;
- proper motions only for Hipparcos stars;
- $B_{\rm T}, V_{\rm T}$ photometry from TDSC;
- Tycho-1 flag, tyc, is set to posflg, i.e. ‘T’ or ‘H’ although
Hipparcos stars may well be in Tycho-1;
- Hipparcos, hip, and CCDM, ccdm, identifiers from TDSC;
- astrometry from TDSC, but the (ra, dec)-correlation, corr, is set to
blank.
New TDSC specific fields added after the Tycho-2 part of the record:
- sysNo, cmp, nMain, nSup, magflg, wds, note, hd;
- rcmp, pa, sep, ePa, ePaSep, eSep.
id
Tycho-2 identifier
meta.id;meta.main
char
primary
hip
Hipparcos number
meta.id.cross
int
tyc1
TYC1 component from TYC or GSC
meta.id.part;meta.main
char
tyc2
TYC2 component from TYC or GSC
meta.id.part;meta.main
char
tyc3
TYC3 component from TYC or TDSC
meta.id.part;meta.main
char
id_tycho
Numeric Tycho-2 identifier
meta.id;meta.dataset
long
tyc
Tycho-1 star
meta.code
char
ra
Observed Tycho-2 Right Ascension, ICRS
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
primary
dec
Observed Tycho-2 Declination, ICRS
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
primary
ra_deg
Observed Tycho-2 Right Ascension, ICRS
deg
pos.eq.ra
double
de_deg
Observed Tycho-2 Declination, ICRS
deg
pos.eq.dec
double
ra_mdeg
Mean Right Ascension, ICRS, epoch=J2000
deg
pos.eq.ra
double
de_mdeg
Mean Declination, ICRS, at epoch=J2000
deg
pos.eq.dec
double
pm_ra
Proper motion in RA*cos(dec)
mas/yr
pos.eq.ra;pos.pm
float
primary
pm_de
Proper motion in Dec
mas/yr
pos.eq.dec;pos.pm
float
primary
ep_ra1990
Epoch--1990 of raDeg
yr
time.epoch
float
ep_de1990
Epoch--1990 of deDeg
yr
time.epoch
float
ep_ra_m
Mean epoch of RA.
yr
time.epoch
float
ep_de_m
Mean epoch of Dec.
yr
time.epoch
float
num
Number of positions used for forming mean data
meta.number
short
e_ra_deg
Uncertainty RA*cos(dec), of observed Tycho-2 RA.
mas
stat.error
double
e_de_deg
Uncertainty of observed Tycho-2 Dec.
mas
stat.error
double
corr
Correlation (RAdeg,DEdeg)
stat.correlation;pos.eq.ra;pos.eq.dec
double
e_ra_mdeg
Uncertainty RA*cos(dec),at mean epoch.
mas
stat.error
double
e_de_mdeg
Uncertainty of Dec at mean epoch.
mas
stat.error
double
e_pm_ra
Uncertainty proper motion in RA*cos(dec).
mas/yr
stat.error
float
e_pm_de
Uncertainty of proper motion in Dec.
mas/yr
stat.error
float
q_ra_mdeg
Goodness of fit for mean RA
meta.code.qual
float
q_de_mdeg
Goodness of fit for mean Dec
meta.code.qual
float
q_pm_de
Goodness of fit for pmDe
meta.code.qual
float
q_pm_ra
Goodness of fit for pmRa
meta.code.qual
float
pflag
Mean position flag
meta.code
char
posflg
Type of Tycho-2 solution
meta.id;stat.fit
char
ccdm
CCDM component identifier for HIP stars
meta.code.multip
char
prox
Proximity indicator
mas.100
meta.code
short
bt_mag
Tycho-2 BT magnitude
mag
phot.mag;em.opt.B
float
primary
vt_mag
Tycho-2 VT magnitude
mag
phot.mag;em.opt.V
float
primary
e_bt_mag
Uncertainty of BT
mag
stat.error
float
e_vt_mag
Uncertainty of VT
mag
stat.error
float
sys_no
TDSC identifier for the system
meta.id
int
primary
cmp
Component designation
meta.id.part
char
primary
n_main
Number of components in TDSC main catalogue
meta.number
short
n_sup
Number of components in the TDSC supplement
meta.number
short
magflg
TDSC photometry flag
meta.code
char
wds
WDS identifier for the system
meta.id.cross
char
note
TDSC notes
meta.note
char
hd
HD identifier for TDSC entries
meta.id.cross
int
rcmp
Reference component for position angle and separation
meta.id.assoc
char
pa
Position angle
deg
pos.posAng
float
sep
Separation
arcsec
pos.angDistance
float
primary
e_pa
Uncertainty of the position angle
deg
stat.error
float
e_pa_sep
Uncertainty of the position angle * separation
stat.error
short
e_sep
Uncertainty of the separation
mas
stat.error
short
gaiaedr3
Gaia Early Data Release 3
gaiaedr3.gaia_source
This table has an entry for every Gaia observed source as listed in the
Main Database accumulating catalogue version from which the catalogue
release has been generated. It contains the basic source parameters,
that is only final data (no epoch data) and no spectra (neither final
nor epoch).
solution_id
Solution Identifier
meta.version
long
designation
Unique source designation (unique across all Data Releases)
meta.id;meta.main
char
indexed
source_id
Unique source identifier (unique within a particular Data Release)
meta.id
long
indexed
primary
random_index
Random index used to select subsets
meta.code
long
indexed
ref_epoch
Reference epoch
yr
meta.ref;time.epoch
double
ra
Right ascension
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
ra_error
Standard error of right ascension
mas
stat.error;pos.eq.ra
float
dec
Declination
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
dec_error
Standard error of declination
mas
stat.error;pos.eq.dec
float
parallax
Parallax
mas
pos.parallax.trig
double
indexed
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax.trig
float
indexed
primary
parallax_over_error
Parallax divided by its standard error
stat.snr;pos.parallax.trig
float
indexed
pm
Total proper motion
mas.yr**-1
pos.pm;pos.eq
float
indexed
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
double
indexed
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
float
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
double
indexed
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
float
ra_dec_corr
Correlation between right ascension and declination
stat.correlation
float
ra_parallax_corr
Correlation between right ascension and parallax
stat.correlation
float
ra_pmra_corr
Correlation between right ascension and proper motion in right ascension
stat.correlation
float
ra_pmdec_corr
Correlation between right ascension and proper motion in declination
stat.correlation
float
dec_parallax_corr
Correlation between declination and parallax
stat.correlation
float
dec_pmra_corr
Correlation between declination and proper motion in right ascension
stat.correlation
float
dec_pmdec_corr
Correlation between declination and proper motion in declination
stat.correlation
float
parallax_pmra_corr
Correlation between parallax and proper motion in right ascension
stat.correlation
float
parallax_pmdec_corr
Correlation between parallax and proper motion in declination
stat.correlation
float
pmra_pmdec_corr
Correlation between proper motion in right ascension and proper motion in declination
stat.correlation
float
astrometric_n_obs_al
Total number of observations AL
meta.number
short
indexed
astrometric_n_obs_ac
Total number of observations AC
meta.number
short
indexed
astrometric_n_good_obs_al
Number of good observations AL
meta.number
short
indexed
astrometric_n_bad_obs_al
Number of bad observations AL
meta.number
short
indexed
astrometric_gof_al
Goodness of fit statistic of model wrt along-scan observations
stat.fit.goodness
float
astrometric_chi2_al
AL chi-square value
stat.fit.chi2
float
indexed
astrometric_excess_noise
Excess noise of the source
mas
stat.value
float
indexed
astrometric_excess_noise_sig
Significance of excess noise
stat.value
float
astrometric_params_solved
Which parameters have been solved for?
meta.number
short
indexed
astrometric_primary_flag
Primary or seconday
meta.code
boolean
nu_eff_used_in_astrometry
Effective wavenumber of the source used in the astrometric solution
um**-1
em.wavenumber
float
pseudocolour
Astrometrically estimated pseudocolour of the source
um**-1
em.wavenumber
float
indexed
pseudocolour_error
Standard error of the pseudocolour of the source
um**-1
stat.error;em.wavenumber
float
ra_pseudocolour_corr
Correlation between right ascension and pseudocolour
stat.correlation;em.wavenumber;pos.eq.ra
float
dec_pseudocolour_corr
Correlation between declination and pseudocolour
stat.correlation;em.wavenumber;pos.eq.dec
float
parallax_pseudocolour_corr
Correlation between parallax and pseudocolour
stat.correlation;em.wavenumber;pos.parallax
float
pmra_pseudocolour_corr
Correlation between proper motion in right asension and pseudocolour
stat.correlation;em.wavenumber;pos.pm;pos.eq.ra
float
pmdec_pseudocolour_corr
Correlation between proper motion in declination and pseudocolour
stat.correlation;em.wavenumber;pos.pm;pos.eq.dec
float
astrometric_matched_transits
Matched FOV transits used in the AGIS solution
meta.number
short
indexed
visibility_periods_used
Number of visibility periods used in Astrometric solution
meta.number
short
indexed
astrometric_sigma5d_max
The longest semi-major axis of the 5-d error ellipsoid
mas
stat;pos.errorEllipse
float
matched_transits
The number of transits matched to this source
meta.number
short
indexed
new_matched_transits
The number of transits newly incorporated into an existing source in the current cycle
meta.number
short
matched_transits_removed
The number of transits removed from an existing source in the current cycle
meta.number
short
ipd_gof_harmonic_amplitude
Amplitude of the IPD GoF versus position angle of scan
stat.value
float
ipd_gof_harmonic_phase
Phase of the IPD GoF versus position angle of scan
deg
pos.posAng;stat.value
float
ipd_frac_multi_peak
Percent of successful-IPD windows with more than one peak
stat.value
short
indexed
ipd_frac_odd_win
Percent of transits with truncated windows or multiple gate
stat.value
short
indexed
ruwe
Renormalised unit weight error
stat.error
float
indexed
scan_direction_strength_k1
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k2
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k3
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k4
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_mean_k1
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k2
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k3
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k4
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
duplicated_source
Source with multiple source identifiers
meta.code.status
boolean
indexed
phot_g_n_obs
Number of observations contributing to G photometry
meta.number
short
indexed
phot_g_mean_flux
G-band mean flux
'electron'.s**-1
phot.flux;em.opt
double
phot_g_mean_flux_error
Error on G-band mean flux
'electron'.s**-1
stat.error;phot.flux;em.opt
float
phot_g_mean_flux_over_error
G-band mean flux divided by its error
stat.snr;phot.flux;em.opt
float
indexed
phot_g_mean_mag
G-band mean magnitude
mag
phot.mag;em.opt
float
indexed
primary
phot_bp_n_obs
Number of observations contributing to BP photometry
meta.number
short
phot_bp_mean_flux
Integrated BP mean flux
'electron'.s**-1
phot.flux;em.opt.B
double
phot_bp_mean_flux_error
Error on the integrated BP mean flux
'electron'.s**-1
stat.error;phot.flux;em.opt.B
float
phot_bp_mean_flux_over_error
Integrated BP mean flux divided by its error
stat.snr;phot.flux;em.opt.B
float
indexed
phot_bp_mean_mag
Integrated BP mean magnitude
mag
phot.mag;em.opt.B
float
indexed
phot_rp_n_obs
Number of observations contributing to RP photometry
meta.number
short
phot_rp_mean_flux
Integrated RP mean flux
'electron'.s**-1
phot.flux;em.opt.R
double
phot_rp_mean_flux_error
Error on the integrated RP mean flux
'electron'.s**-1
stat.error;phot.flux;em.opt.R
float
phot_rp_mean_flux_over_error
Integrated RP mean flux divided by its error
stat.snr;phot.flux;em.opt.R
float
indexed
phot_rp_mean_mag
Integrated RP mean magnitude
mag
phot.mag;em.opt.R
float
indexed
phot_bp_n_contaminated_transits
Number of BP contaminated transits
meta.number
short
phot_bp_n_blended_transits
Number of BP blended transits
meta.number
short
phot_rp_n_contaminated_transits
Number of RP contaminated transits
meta.number
short
phot_rp_n_blended_transits
Number of RP blended transits
meta.number
short
phot_proc_mode
Photometry processing mode
meta.code
short
phot_bp_rp_excess_factor
BP/RP excess factor
arith.factor;phot.flux;em.opt
float
indexed
bp_rp
BP - RP colour
mag
phot.color;em.opt.B;em.opt.R
float
indexed
primary
bp_g
BP - G colour
mag
phot.color;em.opt.B;em.opt
float
indexed
g_rp
G - RP colour
mag
phot.color;em.opt;em.opt.R
float
indexed
dr2_radial_velocity
Radial velocity from Gaia DR2
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
float
indexed
primary
dr2_radial_velocity_error
Radial velocity error from Gaia DR2
km.s**-1
stat.error;spect.dopplerVeloc.opt;em.opt.I
float
indexed
primary
dr2_rv_nb_transits
Number of transits used to compute radial velocity in Gaia DR2
meta.number
short
dr2_rv_template_teff
Teff of the template used to compute radial velocity in Gaia DR2
K
stat.fit.param
float
indexed
dr2_rv_template_logg
logg of the template used to compute radial velocity in Gaia DR2
log(cm.s**-2)
stat.fit.param
float
indexed
dr2_rv_template_fe_h
Fe/H of the template used to compute radial velocity in Gaia DR2
'dex'
stat.fit.param
float
indexed
l
Galactic longitude
deg
pos.galactic.lon
double
indexed
b
Galactic latitude
deg
pos.galactic.lat
double
indexed
ecl_lon
Ecliptic longitude
deg
pos.ecliptic.lon
double
indexed
ecl_lat
Ecliptic latitude
deg
pos.ecliptic.lat
double
indexed
gaiaedr3.agn_cross_id
<p>Table <tt>AgnCrossId</tt> lists sources whose positions and proper motions define the celestial reference frame of Gaia catalogue.</p>
<p>
<tt>AgnCrossId</tt> lists the sources in Gaia (E)DR3 cross-matched to sources in a number of external AGN catalogues. The first column is the sources identifier in the external catalogue specified in the third column, the second column is the source identifier in Gaia (E)DR3.</p>
<p>The selection of sources and the quality of the Gaia-CRF3 are discussed in</p>
<p>EDR3-DPACP-133.</p>
source_name_in_catalogue
Identifier in the external catalogue
meta.id.cross;meta.main
char
source_id
Gaia source identifier
meta.id.cross
long
indexed
catalogue_name
Name of the external catalogue
meta.dataset
char
gaiaedr3.commanded_scan_law
This table provides a representation of the Gaia scanning law over the
34 month time period covered by the Gaia Data Release 3 (from 2014-07-25
10:31:26 to 2017-05-28 08:46:29), including the Ecliptic Pole Scanning
at the begin of the mission. Note that this is the commanded attitude of
the spacecraft, the actual attitude could deviate from it by up to about
30 arcsec. Also, it does not contain any of the data interruptions that
occurred during the real mission, of which the main ones are listed in
Chapter [chap:cu0int], Section [cu0int_sec:release_framework].
The scanning law has been sampled at a 10 second interval, in which the
satellite rotates about 10 arcminutes (the target spin rate is actually
59.9641857803 arcsec/sec). Note that this is several times shorter than
a typical field-of-view transit and the scan position angle will be
practically constant during this interval.
Notes:
- The times in columns 1, 2 and 3 are in Julian days in TCB with time
origin 2010-01-01T00:00 (JD 2455197.5), following the time
coordinate convention used in the Gaia archive. TCB stands for
Barycentric Coordinate Time and is the time standard used in Gaia
processing, equivalent to the proper time experienced by a clock at
rest in a coordinate frame co-moving with the barycentre of the
Solar system but outside its gravity well, therefore not influenced
by the gravitational time dilation caused by the Sun and the rest of
the solar system.
- Column 1 is the reference time for the spacecraft attitude, while
columns 2 and 3 give the times with the (relativistic) corrections
applied for the light-travel time to the solar system barycentre,
corresponding to an infinitely distant source at the RA, DEC at the
centres of FOV 1 and 2, respectively.
- FOV1 and FOV2 correspond to the preceding (PFOV) and following
(FFOV) fields-of-view, respectively.
- The centres of the field of views are separated by the basic angle
of 106.5 deg, see Fig. 2 of . Their origin in the focal plane is
illustrated in Fig. 3 of the same paper: both originate in the
astrometric field (AF) 7, with FOV1 in row 3 and FOV2 in row 5.
- The scan angle, theta, is the position angle of the direction in
which the FOV is moving (also called ‘along-scan’ direction), and is
defined in the usual astronomical sense: theta = 0 when the FoV is
moving towards local North, and theta = 90 degrees towards local
East.
- All values have been formatted to the default double numerical
precision and so this precision should not be interpreted as the
accuracy of the data.
jd_time
Time [Julian Date in TCB at Gaia - 2455197.5]
d
time.epoch
double
bjd_fov1
Time [Julian Date in TCB at barycentre for FOV1 - 2455197.5]
d
time.epoch
double
bjd_fov2
Time [Julian Date in TCB at barycentre for FOV2 - 2455197.5]
d
time.epoch
double
obmt_time
Time at Gaia (OBMT)
ns
time.epoch
long
indexed
ra_fov1
Right Ascension of FOV1 centre
deg
pos.eq.ra
float
dec_fov1
Declination of FOV1 centre
deg
pos.eq.dec
float
heal_pix_fov1
FOV1 HEALPix level 12
pos.healpix
int
scan_angle_fov1
Scan position angle of FOV1
deg
pos.angDistance
float
ra_fov2
Right ascension of FOV2 centre
deg
pos.eq.ra
float
dec_fov2
Declination of FOV2 centre
deg
pos.eq.dec
float
heal_pix_fov2
FOV2 HEALPix level 12
pos.healpix
int
scan_angle_fov2
Scan position angle of FOV2
deg
pos.angDistance
float
solution_id
Solution Identifier
meta.version
long
gaiaedr3.dr2_neighbourhood
Users wishing to look up the E/DR3 record for an astrophysical source
identified in DR2 must NOT simply extract the record from E/DR3 having
the same source identifier.
As described in the detailed description of attribute designation in
GaiaSource it is not guaranteed that the same astronomical source will
always have the same source identifier in different Data Releases. Hence
the only safe way to compare source records between different Data
Releases in general is to check the records of proximal source(s) in the
same small part of the sky. This table provides the means to do this via
a precomputed crossmatch of such sources, taking into account the proper
motions available at E/DR3.
Within the neighbourhood of a given E/DR3 source there may be none, one
or (rarely) several possible counterparts in DR2 indicated by rows in
this table. This occasional source confusion is an inevitable
consequence of the merging, splitting and deletion of identifiers
introduced in previous releases during the DR3 processing and results in
no guaranteed one–to–one correspondence in source identifiers between
the releases.
For more details of the procedure used to create this crossmatch, see
Chapter [chap:archive] in the online documentation.
dr2_source_id
Source identifier in Gaia DR2
meta.id.cross
long
indexed
dr3_source_id
Source identifier in Gaia E/DR3
meta.id.cross;meta.main
long
indexed
angular_distance
Angular distance between the two sources
mas
pos.angDistance
float
indexed
magnitude_difference
G band magnitude difference between the sources
mag
phot.mag;arith.diff
float
indexed
proper_motion_propagation
Flag indicating whether E/DR3 coordinates were proper motion corrected
meta.code.status
boolean
indexed
gaiaedr3.frame_rotator_source
Sources used to compute the Gaia reference frame.
The AGIS frame rotator algorithm has two different parts: the reference
frame orientation; and the reference frame spin. The reference frame
orientation is fixed using the International Earth Rotation and
Reference System Service (=IERS) position of a subset of IERS sources
defining the third realization of the International Coordinate Reference
Frame (Charlot et al., 2020, submitted to A&A),
http://hpiers.obspm.fr/icrs-pc/newwww/icrf/index.php. The reference
frame spin is defined using the Gaia proper motion of a list of QSOs.
The reference frame algorithms have an outliers scheme. Hence for each
aspect we provide the considered sources and the used sources actually
used, and the number of used sources might be lower than the number of
considered sources.
source_id
Gaia source identifier
meta.id.cross
long
indexed
considered_for_reference_frame_orientation
Considered for the reference frame orientation
meta.code
boolean
used_for_reference_frame_orientation
Used for the reference frame orientation
meta.code
boolean
considered_for_reference_frame_spin
Considered for the reference frame spin
meta.code
boolean
used_for_reference_frame_spin
Used for the reference frame spin
meta.code
boolean
gaiaedr3.allwise_best_neighbour
<p>allWISE BestNeighbour table lists each matched Gaia object with its best neighbour in the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in allWISE.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
xm_flag
Cross-match algorithm flag
meta.code.status
short
allwise_oid
External Catalogue source identifier
meta.id.cross
int
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiaedr3.allwise_neighbourhood
<p>allWISE Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in allWISE.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
allwise_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.apassdr9_best_neighbour
<p>Table <tt>Apassdr9BestNeighbour</tt> lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in APASS DR9.
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.
The cross-match algorithm is positional and exploits the full 5
parameter covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.</p>
<p>Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.</p>
<p>Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
clean_apassdr9_oid
External Catalogue source identifier
meta.id.cross
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
int
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
int
gaiaedr3.apassdr9_join
Convenience table to be used to join the APASS DR9 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding additional numerical
identifier (cleanApassdr9Oid).
Both originalExtSourceId and cleanApassdr9Oid are present in the
cross-match output tables (Apassdr9BestNeighbour and
Apassdr9Neighbourhood). However, in case there are suspected duplicates
in the external catalogue, different originalExtSourceId will correspond
to the same cleanApassdr9Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed. In practice, users may use the originalExtSourceId in the
original catalogue to find the matching source with the best astrometry.
Users interested in all matching suspected duplicates should instead use
the cleanApassdr9Oid in the join with the cross-match result tables.
See Chapter [chap:crossmatch] for more details on the duplicates in the
external catalogues and their treatment in the cross-match computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
clean_apassdr9_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.apassdr9_neighbourhood
<p>Table <tt>Apassdr9Neighbourhood</tt> includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in APASS DR9.
The cross-match algorithm is positional and exploits the full 5
parameter covariance matrix of the the Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.</p>
<p>Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.</p>
<p>Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
clean_apassdr9_oid
External Catalogue source identifier
meta.id.cross
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
double
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
int
gaiaedr3.gsc23_best_neighbour
<p>GSC2.3 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in GSC2.3.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_gsc23_oid
External Catalogue source identifier
meta.id.cross
int
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiaedr3.gsc23_join
Convenience table to be used to join GSC 2.3 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanGsc23Oid).
Both originalExtSourceId and cleanGsc23Oid are present in the
cross-match output tables (gsc23BestNeighbour and gsc23Neighbourhood).
However, in case there are suspected duplicates in the external
catalogue, different originalExtSourceId will correspond to the same
cleanGsc23Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanGsc23Oid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
clean_gsc23_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.gsc23_neighbourhood
<p>GSC2.3 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in GSC2.3.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_gsc23_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.hipparcos2_best_neighbour
<p>Hipparcos2 BestNeighbour table lists each matched external catalogue object with its best
neighbour in Gaia.
The cross-match algorithm is not symmetric and searches Hipparcos2 sources counterparts in Gaia.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in Gaia whose position is
compatible within position errors with the external catalogue target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
int
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.hipparcos2_neighbourhood
<p>Hipparcos2 Neighbourhood table includes all good neighbours for each matched Hipparcos2 object.
A good neighbour for a given Hipparcos2 source is a nearby Gaia object whose
position is compatible (within position errors) with the Hipparcos2 target. <br/>
The cross-match algorithm is not symmetric and searches Hipparcos2 sources counterparts in Gaia.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
int
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.panstarrs1_best_neighbour
<p>Pan-STARRS1 DR1 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in Pan-STARRS1 DR1.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
clean_panstarrs1_oid
External Catalogue source identifier
meta.id.cross
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.panstarrs1_join
Convenience table to be used to join Pan-STARRS1 DR1.1 catalogue with
the cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanPanstarrs1Oid).
Both originalExtSourceId and cleanPanstarrs1Oid are present in the
cross-match output tables (panstarrs1BestNeighbour and
panstarrs1Neighbourhood). However, in case there are suspected
duplicates in the external catalogue, different originalExtSourceId will
correspond to the same cleanPanstarrs1Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanPanstarrs1Oid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
clean_panstarrs1_oid
External Catalogue source identifier
meta.id.cross
long
indexed
gaiaedr3.panstarrs1_neighbourhood
<p>Pan-STARRS1 DR1 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in Pan-STARRS1 DR1.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
clean_panstarrs1_oid
External Catalogue source identifier
meta.id.cross
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.ravedr5_best_neighbour
<p>RAVE DR5 BestNeighbour table lists each matched external catalogue object with its best
neighbour in Gaia.
The cross-match algorithm is not symmetric and searches RAVE DR5 sources counterparts in Gaia.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in Gaia whose position is
compatible within position errors with the external catalogue target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_ravedr5_oid
External Catalogue source identifier
meta.id.cross
int
indexed
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
short
gaiaedr3.ravedr5_join
Convenience table to be used to join RAVE DR5 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanRavedr5Oid).
Both originalExtSourceId and cleanRavedr5Oid are present in the
cross-match output tables (ravedr5BestNeighbour and
ravedr5Neighbourhood). However, in case there are suspected duplicates
in the external catalogue, different originalExtSourceId will correspond
to the same cleanRavedr5Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanRavedr5Oid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
clean_ravedr5_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.ravedr5_neighbourhood
<p>RAVE DR5 Neighbourhood table includes all good neighbours for each matched RAVE DR5 object.
A good neighbour for a given RAVE DR5 source is a nearby Gaia object whose
position is compatible (within position errors) with the RAVE DR5 target. <br/>
The cross-match algorithm is not symmetric and searches RAVE DR5 sources counterparts in Gaia.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_ravedr5_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.sdssdr13_best_neighbour
<p>SDSS DR13 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SDSS DR13.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
clean_sdssdr13_oid
External Catalogue source identifier
meta.id.cross
int
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.sdssdr13_join
Convenience table to be used to join SDSS DR13 catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (sdssdr13Oid).
Both originalExtSourceId and sdssdr13Oid are present in the cross-match
output tables (sdssdr13BestNeighbour and sdssdr13Neighbourhood).
However, in case there are suspected duplicates in the external
catalogue, different originalExtSourceId will correspond to the same
sdssdr13Oid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the sdssdr13Oid in the join with the cross-match result tables.
See Documentation [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
clean_sdssdr13_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.sdssdr13_neighbourhood
<p>SDSS DR13 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SDSS DR13.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
clean_sdssdr13_oid
External Catalogue source identifier
meta.id.cross
int
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.skymapperdr2_best_neighbour
<p>SkyMapper DR2 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SkyMapper DR2.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.skymapperdr2_join
Convenience table to be used to join SkyMapper DR2 catalogue with the
cross-match results. It lists all the SkyMapper DR2 sources which were
used in the cross-match. See Documentation, [chap:crossmatch], for more
details on the catalogue.
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
gaiaedr3.skymapperdr2_neighbourhood
<p>SkyMapper DR2 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in SkyMapper DR2.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
long
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
gaiaedr3.tmass_psc_xsc_best_neighbour
<p>2MASS BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in 2MASS.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_tmass_psc_xsc_oid
External Catalogue source identifier
meta.id.cross
int
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiaedr3.tmass_psc_xsc_join
Convenience table to be used to join 2MASS PSC+XSC catalogue with the
cross-match results. The table links the external catalogue original
sourceId (originalExtSourceId) to the corresponding the additional
numerical identifier (cleanTmassPscXscOid).
Both originalExtSourceId and cleanTmassPscXscOid are present in the
cross-match output tables (tmassPscXscBestNeighbour and
tmassPscXscNeighbourhood). However, in case there are suspected
duplicates in the external catalogue, different originalExtSourceId will
correspond to the same cleanTmassPscXscOid.
In the cross-match output table only the originalExtSourceId of the
source with the best astrometry among the suspected duplicates will be
listed.
In practice, users may use the originalExtSourceId in the original
catalogue to find the matching source with the best astrometry. Users
interested to find all matching suspected duplicates should instead use
the cleanTmassPscXscOid in the join with the cross-match result tables.
See Documentation, [chap:crossmatch], for more details on the duplicates
in the external catalogues and their treatment in the cross-match
computations.
original_psc_source_id
Original 2MASS PSC source identifier
meta.id.cross
char
indexed
original_xsc_source_id
Original 2MASS XSC source identifier
meta.id.cross
char
indexed
clean_tmass_psc_xsc_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.tmass_psc_xsc_neighbourhood
<p>2MASS Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in 2MASS.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
clean_tmass_psc_xsc_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.tycho2tdsc_merge_best_neighbour
<p>Tycho2TDSCmerge BestNeighbour table lists each matched external catalogue object with its best
neighbour in Gaia.
The cross-match algorithm is not symmetric and searches Tycho2TDSCmerge sources counterparts in Gaia.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in Gaia whose position is
compatible within position errors with the external catalogue target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
xm_flag
Cross-match algorithm flag
meta.code.status
short
tycho2tdsc_merge_oid
External Catalogue source identifier
meta.id.cross
int
indexed
number_of_neighbours
Number of neighbours in Gaia Catalogue
meta.number
short
gaiaedr3.tycho2tdsc_merge_neighbourhood
<p>Tycho2TDSCmerge Neighbourhood table includes all good neighbours for each matched Tycho2TDSCmerge object.
A good neighbour for a given Tycho2TDSCmerge source is a nearby Gaia object whose
position is compatible (within position errors) with the Tycho2TDSCmerge target. <br/>
The cross-match algorithm is not symmetric and searches Tycho2TDSCmerge sources counterparts in Gaia.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
Gaia environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
tycho2tdsc_merge_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.urat1_best_neighbour
<p>URAT-1 BestNeighbour table lists each matched Gaia object with its best neighbour in
the external catalogue.
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in URAT-1.<br/>
The best neighbour is chosen among good neighbours as the one with the highest value of
the figure of merit, which evaluates the ratio between two opposite models/hypotheses:
the counterpart candidate is a match or it is found by chance.
Good neighbours are nearby objects in the external catalogue whose position is
compatible within position errors with the Gaia target.<br/>
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
indexed
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
xm_flag
Cross-match algorithm flag
meta.code.status
short
urat1_oid
External Catalogue source identifier
meta.id.cross
int
indexed
number_of_neighbours
Number of neighbours in External Catalogue
meta.number
short
number_of_mates
Number of mates in Gaia Catalogue
meta.number
short
gaiaedr3.urat1_neighbourhood
<p>URAT-1 Neighbourhood table includes all good neighbours for each matched Gaia object.
A good neighbour for a given Gaia source is a nearby object in the external catalogue whose
position is compatible (within position errors) with the Gaia target. <br/>
The cross-match algorithm is not symmetric and searches Gaia sources counterparts in URAT-1.
The cross-match algorithm is positional and exploits the full 5
parameters covariance matrix of Gaia astrometric solution when available and the
external catalogue positions and position errors. In addition it takes into account the
external catalogue environment using the local density.<br/>
<br/>
Please note that the cross-match algorithm is a trade-off between multiple requirements, in
particular between completeness and correctness. It is thus not limited to a simple cone search.<br/>
<br/>
Reference papers:<br/>
</p>
<p>DR1-DPACP-17<br/>
</p>
<p>DR2-DPACP-41<br/>
</p>
source_id
Unique Gaia source identifier
meta.id;meta.main
long
indexed
original_ext_source_id
Original External Catalogue source identifier
meta.id.cross
char
angular_distance
Angular Distance between the two sources
arcsec
pos.angDistance
float
indexed
score
Score of neighbours
meta.code
double
xm_flag
Cross-match algorithm flag
meta.code.status
short
urat1_oid
External Catalogue source identifier
meta.id.cross
int
indexed
gaiaedr3.gaia_source_simulation
Table of sources realised according to the Gaia Object Generator (GOG)
simulation. Observed attributes are given with simulated observational
uncertainties.
This table contains the output of GOG. The values are obtained after
adding the corresponding uncertainty (based on the error models) to the
true values in table GaiaUniverseModel. Both the values and the
uncertainties are provided.
solution_id
Solution Identifier
meta.version
long
source_id
Long Identifier
meta.id
long
indexed
primary
ra
Right Ascension
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
ra_error
Right Ascension error
mas
stat.error
float
dec
Declination
deg
pos.eq.dec;pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
dec_error
Declination error
mas
stat.error
float
parallax
Parallax
mas
pos.parallax
float
indexed
primary
parallax_error
Parallax error
mas
stat.error
float
primary
pmra
Proper motion in RA
mas.yr**-1
pos.pm;pos.eq.ra
float
pmra_error
Error in RA proper motion
mas.yr**-1
stat.error
float
pmdec
Proper motion in dec
mas.yr**-1
pos.pm;pos.eq.dec
float
pmdec_error
Error in dec. proper motion
mas.yr**-1
stat.error
float
n_obs_al
Number of AL observations
meta.number
int
n_outliers_al
Number of outliers AL observations
meta.number
int
phot_g_mean_flux
Mean G flux
'electron'.s**-1
phot.flux;em.opt
float
phot_g_mean_flux_error
Mean G flux error
'electron'.s**-1
stat.error;phot.flux;em.opt
float
phot_g_mean_mag
Mean G magnitude
mag
phot.mag;em.opt
float
indexed
primary
phot_bp_mean_flux
Mean BP flux
'electron'.s**-1
phot.flux;em.opt.B
float
phot_bp_mean_flux_error
Mean BP flux error
'electron'.s**-1
stat.error;phot.flux;em.opt.B
float
phot_bp_mean_mag
Mean BP magnitude
mag
phot.mag;em.opt.B
float
phot_rp_mean_flux
Mean RP flux
'electron'.s**-1
phot.flux;em.opt.R
float
phot_rp_mean_flux_error
Mean RP flux error
'electron'.s**-1
stat.error;phot.flux;em.opt.R
float
phot_rp_mean_mag
Mean RP magnitude
mag
phot.mag;em.opt.R
float
phot_rvs_mean_flux
Mean RVS flux
'electron'.s**-1
phot.flux;em.opt.I
float
phot_rvs_mean_flux_error
Mean RVS flux error
'electron'.s**-1
stat.error;phot.flux;em.opt.I
float
phot_rvs_mean_mag
Mean RVS magnitude
mag
phot.mag;em.opt.I
float
radial_velocity
Radial velocity
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
float
primary
radial_velocity_error
Radial velocity error
km.s**-1
stat.error
float
primary
teff
Effective temperature
K
phys.temperature.effective
float
primary
teff_error
Effective temperature error
K
stat.error;phys.temperature.effective
float
vsini
v sin i
km.s**-1
phys.veloc.rotat
float
vsini_error
v sin i error
km.s**-1
stat.error;phys.veloc.rotat
float
a0
Extinction at 550 nm
mag
phys.absorption;em.opt.V
float
primary
a0_error
Extinction at 550 nm error
mag
stat.error;phys.absorption;em.opt.V
float
feh
Iron abundance
'dex'
phys.abund.Fe
float
primary
feh_error
Iron abundance error
'dex'
stat.error;phys.abund.Fe
float
logg
Surface gravity
log(cm.s**-2)
phys.gravity
float
logg_error
Surface gravity Error
log(cm.s**-2)
stat.error;phys.gravity
float
gaiaedr3.gaia_universe_model
Table of simulated galactic stars according to the Gaia Universal Model
Simulation (GUMS). True values of the intrinsic simulated quantities
(astrometry, photometry and physical parameters) for the sources
generated by GOG using the Universe Model are given. No errors are
added.
source_extended_id
Extended source identifier
meta.number
char
source_id
Long Identifier
meta.number
long
indexed
primary
solution_id
Solution Identifier
meta.version
long
ra
Right Ascension
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
Declination
deg
pos.eq.dec
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
barycentric_distance
Barycentric distance to the simulated source
pc
pos.distance
float
indexed
primary
pmra
Proper motion along right ascension
mas.yr**-1
pos.pm;pos.eq.ra
float
pmdec
Proper motion along declination
mas.yr**-1
pos.pm;pos.eq.dec
float
radial_velocity
Radial Velocity
km.s**-1
spect.dopplerVeloc.opt;em.opt.I
float
primary
mag_g
Mean Apparent G magnitude
mag
phot.mag;em.opt
float
indexed
primary
mag_bp
Mean Apparent BP magnitude
mag
phot.mag;em.opt.B
float
mag_rp
Mean Apparent RP magnitude
mag
phot.mag;em.opt.R
float
mag_rvs
Mean Apparent RVS magnitude
mag
phot.mag;em.opt.I
float
v_i
(V-I) color
mag
phot.color;em.opt.V;em.opt.I
float
mean_absolute_v
Mean Absolute V magnitude
mag
phot.mag;em.opt.V
float
ag
Absorption in G
mag
phys.absorption;em.opt
float
primary
av
Absorption in V
mag
phys.absorption;em.opt.V
float
teff
Effective temperature
K
phys.temperature.effective
float
primary
spectral_type
spectral class + luminosity class
src.spType
char
logg
Surface gravity
log(cm.s**-2)
phys.gravity
float
feh
Metallicity
'dex'
phys.abund.Fe
float
primary
alphafe
Alpha elements
'dex'
phys.abund
float
mbol
Absolute bolometric magnitude
mag
phot.mag.bol
float
age
Age
Gyr
time.age
float
mass
Mass
solMass
phys.mass
float
radius
Radius
solRad
phys.size.radius
float
vsini
Rotational velocity
km.s**-1
phys.veloc.rotat
float
population
Population
meta.code.member
int
has_photocenter_motion
Boolean describing if the photocenter has or not motion
meta.code.status
boolean
nc
Number of components
meta.number
int
nt
Total number of object
meta.number
int
semimajor_axis
Semi major axis
AU
src.orbital
float
eccentricity
Eccentricity
src.orbital.eccentricity
float
inclination
Inclination
deg
src.orbital.inclination
float
longitude_ascending_node
Longitude of ascending node
deg
pos.bodyrc.lon
float
orbit_period
Period of the orbit
d
src.orbital
float
periastron_date
Date of periastron
d
src.orbital.periastron
float
periastron_argument
Periastron argument
deg
src.orbital.periastron
float
variability_type
Variability type
src.var
char
variability_amplitude
Amplitude of variability
mag
src.var;src.var.amplitude;em.opt
float
variability_period
Period of variability
d
src.var;time.period
float
variability_phase
Phase of variability
src.var;time.phase
float
r_env_r_star
Envelope characterisic for Be stars
meta
float
gaiaedr3.tycho2tdsc_merge
Tycho-2 merged with the TDSC catalog and TDSC supplement.
The Tycho Double Star Catalogue, (TDSC, ) contains 98482 components of
double and multiple systems processed in the Tycho-2 context. It
includes either original Tycho-2 data or results from a dedicated
re-processing aimed at binaries. As pointed out by P. Marrese (personal
communication), the TDSC star with identifier 29583 is redundant and it
was therefore skipped. The TDSC supplement contains data from an
additional 4777 components from either Hipparcos or Tycho-1.
The Tycho-2 main catalogue contains 2539913 sources, including many
binaries, but a minimum separation of 0.8 arcsec was imposed during the
catalogue construction. The Tycho-2 supplement-1 contains data for 17588
Hipparcos and Tycho-1 stars, which do not appear in the main catalogue,
but only the 4777 stars relevant for TDSC are included here. The Tycho-2
supplement-2 contains an additional 1146 Tycho-1 stars of poor quality.
We have merged Tycho-2 (main) with the TDSC main and supplement, keeping
the Tycho-2 data model and extending it to include TDSC–specific fields.
This is only possible to a certain degree as specified in detail below.
In particular, Tycho-2 includes fields for mean position, proper motion
etc. for a combination of Tycho-2 and several ground based catalogues.
These fields are inherited for TDSC main stars, but were not derived for
the TDSC supplement, where we only provide HIP proper motions. For
Tycho-2 stars not in TDSC, blank TDSC fields were appended.
For Tycho-2 stars in TDSC, the following fields were replaced by the
corresponding TDSC fields:
- tyc1, tyc2, tyc3;
- hip;
- ccdm.
In addition, if the TDSC contains a new solution:
- btMag, eBtMag, vtMag, eVtMag, raDeg, deDeg, epRa1990, epDe1990,
eRaDeg, eDeDec;
- The mean position flag, pflag, is set to ‘P’ (“photocentre") if
resolved and there are Tycho-2 mean positions. Mean position
etc. are then repeated for both new components;
- The proximity indicator, prox, is set to blank if the Tycho-2 star
was resolved in TDSC;
- The type-of-solution flag, posflg, set to ‘N’;
- For resolved Tycho-2 stars, two records are given.
For the few TDSC stars with new solutions, but not in Tycho-2, and for
the TDSC supplement stars (Hipparcos or Tycho-1), the Tycho-2 part of
the merged record was populated in the following way:
- TYC1..3 from TDSC;
- pflag set to TDSC pmflg (‘H’ or ‘X’), ‘H’ indicating Hip proper
motions;
- no mean position and related fields;
- proper motions only for Hipparcos stars;
- $B_{\rm T}, V_{\rm T}$ photometry from TDSC;
- Tycho-1 flag, tyc, is set to posflg, i.e. ‘T’ or ‘H’ although
Hipparcos stars may well be in Tycho-1;
- Hipparcos, hip, and CCDM, ccdm, identifiers from TDSC;
- astrometry from TDSC, but the (ra, dec)-correlation, corr, is set to
blank.
New TDSC specific fields added after the Tycho-2 part of the record:
- sysNo, cmp, nMain, nSup, magflg, wds, note, hd;
- rcmp, pa, sep, ePa, ePaSep, eSep.
id
Tycho-2 identifier
meta.id;meta.main
char
indexed
primary
hip
Hipparcos number
meta.id.cross
int
tyc1
TYC1 component from TYC or GSC
meta.id.part;meta.main
char
tyc2
TYC2 component from TYC or GSC
meta.id.part;meta.main
char
tyc3
TYC3 component from TYC or TDSC
meta.id.part;meta.main
char
id_tycho
Numeric Tycho-2 identifier
meta.id;meta.dataset
long
tyc
Tycho-1 star
meta.code
char
ra
Observed Tycho-2 Right Ascension, ICRS
deg
pos.eq.ra
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
Observed Tycho-2 Declination, ICRS
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_deg
Observed Tycho-2 Right Ascension, ICRS
deg
pos.eq.ra
double
de_deg
Observed Tycho-2 Declination, ICRS
deg
pos.eq.dec
double
ra_mdeg
Mean Right Ascension, ICRS, epoch=J2000
deg
pos.eq.ra
double
de_mdeg
Mean Declination, ICRS, at epoch=J2000
deg
pos.eq.dec
double
pm_ra
Proper motion in RA*cos(dec)
mas/yr
pos.eq.ra;pos.pm
float
primary
pm_de
Proper motion in Dec
mas/yr
pos.eq.dec;pos.pm
float
primary
ep_ra1990
Epoch--1990 of raDeg
yr
time.epoch
float
ep_de1990
Epoch--1990 of deDeg
yr
time.epoch
float
ep_ra_m
Mean epoch of RA.
yr
time.epoch
float
ep_de_m
Mean epoch of Dec.
yr
time.epoch
float
num
Number of positions used for forming mean data
meta.number
short
e_ra_deg
Uncertainty RA*cos(dec), of observed Tycho-2 RA.
mas
stat.error
double
e_de_deg
Uncertainty of observed Tycho-2 Dec.
mas
stat.error
double
corr
Correlation (RAdeg,DEdeg)
stat.correlation;pos.eq.ra;pos.eq.dec
double
e_ra_mdeg
Uncertainty RA*cos(dec),at mean epoch.
mas
stat.error
double
e_de_mdeg
Uncertainty of Dec at mean epoch.
mas
stat.error
double
e_pm_ra
Uncertainty proper motion in RA*cos(dec).
mas/yr
stat.error
float
e_pm_de
Uncertainty of proper motion in Dec.
mas/yr
stat.error
float
q_ra_mdeg
Goodness of fit for mean RA
meta.code.qual
float
q_de_mdeg
Goodness of fit for mean Dec
meta.code.qual
float
q_pm_de
Goodness of fit for pmDe
meta.code.qual
float
q_pm_ra
Goodness of fit for pmRa
meta.code.qual
float
pflag
Mean position flag
meta.code
char
posflg
Type of Tycho-2 solution
meta.id;stat.fit
char
ccdm
CCDM component identifier for HIP stars
meta.code.multip
char
prox
Proximity indicator
mas.100
meta.code
short
bt_mag
Tycho-2 BT magnitude
mag
phot.mag;em.opt.B
float
indexed
primary
vt_mag
Tycho-2 VT magnitude
mag
phot.mag;em.opt.V
float
indexed
primary
e_bt_mag
Uncertainty of BT
mag
stat.error
float
e_vt_mag
Uncertainty of VT
mag
stat.error
float
sys_no
TDSC identifier for the system
meta.id
int
primary
cmp
Component designation
meta.id.part
char
primary
n_main
Number of components in TDSC main catalogue
meta.number
short
n_sup
Number of components in the TDSC supplement
meta.number
short
magflg
TDSC photometry flag
meta.code
char
wds
WDS identifier for the system
meta.id.cross
char
note
TDSC notes
meta.note
char
hd
HD identifier for TDSC entries
meta.id.cross
int
rcmp
Reference component for position angle and separation
meta.id.assoc
char
pa
Position angle
deg
pos.posAng
float
sep
Separation
arcsec
pos.angDistance
float
primary
e_pa
Uncertainty of the position angle
deg
stat.error
float
e_pa_sep
Uncertainty of the position angle * separation
stat.error
short
e_sep
Uncertainty of the separation
mas
stat.error
short
gaiafpr
Gaia Focused Product Release
gaiafpr.crowded_field_source
Sources based on Service Interface Function (SIF) images of very dense regions in the sky.
These sources build an add-on catalogue to the nominal Gaia catalogue.
Nominal and SIF detections were not mixed to create these sources.
These Sources are thus obtained from SIF image detections only.
Sources already present in the nominal catalogue were removed from the SIF add-on catalogue.
solution_id
Solution Identifier
meta.version
long
designation
Unique source designation (unique across all Data Releases)
meta.id;meta.main
char
indexed
primary
region_name
Name of the designated CrowdedField region in the sky
meta.id
char
source_id
Unique source identifier (unique within a particular Data Release) providing the CrowdedField-nature of the source via location bit
meta.id
long
indexed
primary
ref_epoch
Reference epoch
yr
meta.ref;time.epoch
stc:AstroCoords.Time.TimeInstant
double
ra
Right ascension
deg
pos.eq.ra;meta.main
stc:AstroCoords.Position3D.Value3.C1
double
indexed
primary
ra_error
Standard error of right ascension
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position3D.Error3.C1
float
dec
Declination
deg
pos.eq.dec;meta.main
stc:AstroCoords.Position3D.Value3.C2
double
indexed
primary
dec_error
Standard error of declination
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position3D.Error3.C2
float
parallax
Parallax
mas
pos.parallax.trig
double
indexed
primary
parallax_error
Standard error of parallax
mas
stat.error;pos.parallax.trig
float
parallax_over_error
Parallax divided by its standard error
stat.snr;pos.parallax.trig
float
indexed
pm
Total proper motion
mas.yr**-1
pos.pm;pos.eq
float
indexed
pmra
Proper motion in right ascension direction
mas.yr**-1
pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Value3.C1
double
indexed
primary
pmra_error
Standard error of proper motion in right ascension direction
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
stc:AstroCoords.Velocity3D.Error3.C1
float
pmdec
Proper motion in declination direction
mas.yr**-1
pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Value3.C2
double
indexed
primary
pmdec_error
Standard error of proper motion in declination direction
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
stc:AstroCoords.Velocity3D.Error3.C2
float
ra_dec_corr
Correlation between right ascension and declination
stat.correlation
float
ra_parallax_corr
Correlation between right ascension and parallax
stat.correlation
float
ra_pmra_corr
Correlation between right ascension and proper motion in right ascension
stat.correlation
float
ra_pmdec_corr
Correlation between right ascension and proper motion in declination
stat.correlation
float
dec_parallax_corr
Correlation between declination and parallax
stat.correlation
float
dec_pmra_corr
Correlation between declination and proper motion in right ascension
stat.correlation
float
dec_pmdec_corr
Correlation between declination and proper motion in declination
stat.correlation
float
parallax_pmra_corr
Correlation between parallax and proper motion in right ascension
stat.correlation
float
parallax_pmdec_corr
Correlation between parallax and proper motion in declination
stat.correlation
float
pmra_pmdec_corr
Correlation between proper motion in right ascension and proper motion in declination
stat.correlation
float
n_scans
Number of CrowdedField scans of the source location
meta.number
short
astrometric_n_obs_al
Total number of observations in the along-scan (AL) direction
meta.number
short
astrometric_n_obs_ac
Total number of observations in the across-scan (AC) direction
meta.number
short
astrometric_n_good_obs_al
Number of good observations in the along-scan (AL) direction
meta.number
short
astrometric_n_bad_obs_al
Number of bad observations in the along-scan (AL) direction
meta.number
short
astrometric_gof_al
Goodness of fit statistic of model wrt along-scan observations
stat.fit.goodness
float
astrometric_chi2_al
AL chi-square value
stat.fit.chi2
float
astrometric_excess_noise
Excess noise of the source
mas
stat.value
float
indexed
astrometric_excess_noise_sig
Significance of excess noise
stat.value
float
astrometric_params_solved
Which parameters have been solved for?
meta.number
short
indexed
pseudocolour
Astrometrically estimated pseudocolour of the source
um**-1
em.wavenumber
float
indexed
pseudocolour_error
Standard error of the pseudocolour of the source
um**-1
stat.error;em.wavenumber
float
ra_pseudocolour_corr
Correlation between right ascension and pseudocolour
stat.correlation;em.wavenumber;pos.eq.ra
float
dec_pseudocolour_corr
Correlation between declination and pseudocolour
stat.correlation;em.wavenumber;pos.eq.dec
float
parallax_pseudocolour_corr
Correlation between parallax and pseudocolour
stat.correlation;em.wavenumber;pos.parallax
float
pmra_pseudocolour_corr
Correlation between proper motion in right asension and pseudocolour
stat.correlation;em.wavenumber;pos.pm;pos.eq.ra
float
pmdec_pseudocolour_corr
Correlation between proper motion in declination and pseudocolour
stat.correlation;em.wavenumber;pos.pm;pos.eq.dec
float
astrometric_matched_transits
Matched FOV transits used in the AGIS solution
meta.number
short
visibility_periods_used
Number of visibility periods used in Astrometric solution
meta.number
short
indexed
astrometric_sigma5d_max
The longest semi-major axis of the 5-d error ellipsoid
mas
stat;pos.errorEllipse
float
matched_transits
The number of transits matched to this source
meta.number
short
ipd_gof_harmonic_amplitude
Amplitude of the IPD GoF versus position angle of scan
stat.value
float
ipd_gof_harmonic_phase
Phase of the IPD GoF versus position angle of scan
deg
pos.posAng;stat.value
float
scan_direction_strength_k1
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k2
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k3
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_strength_k4
Degree of concentration of scan directions across the source
stat.value
float
scan_direction_mean_k1
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k2
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k3
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
scan_direction_mean_k4
Mean position angle of scan directions across the source
deg
pos.posAng;stat.mean
float
astrometric_primary_flag
Primary or secondary
meta.code
boolean
phot_g_n_obs
Number of observations contributing to G photometry
meta.number
short
indexed
phot_g_mean_flux
G-band mean flux
'electron'.s**-1
phot.flux;em.opt
double
phot_g_mean_flux_error
Error on G-band mean flux
'electron'.s**-1
stat.error;phot.flux;em.opt
float
phot_g_mean_flux_over_error
G-band mean flux divided by its error
stat.snr;phot.flux;em.opt
float
indexed
phot_g_mean_mag
G-band mean magnitude
mag
phot.mag;em.opt
float
indexed
primary
phot_g_flux_uwv
Unit weight variance of fluxes
stat.weight
double
phot_g_flux_median
Median flux
'electron'.s**-1
phot.flux;stat.median
float
phot_g_flux_skewness
Measure of the skewness of the flux distribution
phot.flux;stat.value
float
phot_g_flux_kurtosis
Measure of the kurtosis of the flux distribution
phot.flux;stat.value
float
phot_g_flux_mad
MAD of the flux distribution
'electron'.s**-1
phot.flux;stat.value
float
phot_g_flux_first_quartile
First quartile of the flux distribution
'electron'.s**-1
phot.flux;stat.value
float
phot_g_flux_third_quartile
Third quartile of the flux distribution
'electron'.s**-1
phot.flux;stat.value
float
phot_g_flux_min
Minimum flux value
'electron'.s**-1
phot.flux;stat.min
float
phot_g_flux_max
Maximum flux value
'electron'.s**-1
phot.flux;stat.max
float
phot_proc_mode
Photometry processing mode
meta.code
short
l
Galactic longitude
deg
pos.galactic.lon
stc:AstroCoords.Position2D.Value2.C1
double
indexed
b
Galactic latitude
deg
pos.galactic.lat
stc:AstroCoords.Position2D.Value2.C2
double
indexed
ecl_lon
Ecliptic longitude
deg
pos.ecliptic.lon
stc:AstroCoords.Position2D.Value2.C1
double
indexed
ecl_lat
Ecliptic latitude
deg
pos.ecliptic.lat
stc:AstroCoords.Position2D.Value2.C2
double
indexed
gaiafpr.lens_candidates
This table contains the sources identified as possible gravitational lens candidates based on an analysis of the observations in the neighbourhoud of a list of sources selected from a compilation of quasar candidates. Information about the catalogues from which these quasars proceed is given in the table of lens catalogue names.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
primary
name
The name of the gravitational lens candidate
meta.id
char
flag
GravLens flag
meta.code.status
short
n_components
Number of components
meta.number
int
component_id
Index of the component for this sourceId
meta.id.assoc
int
indexed
n_obs_component
Number of valid observations used for this component
meta.number
short
component_flag
Component object flag
meta.code.status
short
ra_component
Mean right ascension of the component
deg
pos.eq.ra
double
primary
ra_std_component
Standard deviation of the right ascension of the component
mas
stat.error;pos.eq.ra
float
dec_component
Mean declination of the clusters of measurements
deg
pos.eq.dec
double
primary
dec_std_component
Standard deviation of the declination measurements
mas
stat.error;pos.eq.dec
float
g_flux_component
Mean G flux of the component
'electron'.s**-1
phot.flux;em.opt
double
g_flux_component_error
Uncertainty of the mean flux value for this component
'electron'.s**-1
stat.error;phot.flux
float
g_mag_component
Mean onboard G magnitude of the component
mag
phot.mag;em.opt
float
primary
g_mag_std_component
Standard deviation of the onboard G magnitude of the component
mag
stat.error;em.opt
float
gaiafpr.lens_catalogue_name
This table provides the list of input catalogues that have been used to select any given source that was analysed by the Gravitational Lens module and published in the lens candidate table.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
catalogue_id
The unique identifier for the catalogue(s) used to select the sources in the gravitational lenses analysis
meta.id.assoc
short
indexed
gaiafpr.lens_observation
This table contains the observations associated with the components found in the lens candidates table.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
primary
component_id
Index of the component for this sourceId
meta.id.assoc
int
indexed
observation_id
Counter for the observations of each component
meta.number
int
indexed
ra_obs
Right ascension of each individual observation belonging to this component, as decoded from the transitId
deg
pos.eq.ra
double
primary
dec_obs
Declination of each individual observation belonging to this component, as decoded from the transitId
deg
pos.eq.dec
double
primary
g_flux_obs
Flux value of each individual observation belonging to this component
'electron'.s**-1
phot.flux;em.opt
double
g_flux_obs_error
Flux error value of each individual observation belonging to this component
'electron'.s**-1
stat.error;phot.flux
float
g_mag_obs
Onboard G magnitudes of each individual observation belonging to this component
mag
phot.mag;em.opt
float
primary
epoch_obs
Epoch of the individual observation belonging to this component
d
stat.error;phot.mag
double
primary
gaiafpr.lens_outlier
This table contains the individual observations that have been discarded from the analysis of the gravitational lenses around the list of sourceIds tabulated in the lens candidate table. These are observations that could not be associated with any of the components assigned to the source of interest.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
primary
outlier_id
Counter for the outliers of each component
meta.number
int
indexed
ra_obs
Right ascension of each individual outlier observation
deg
pos.eq.ra
double
primary
dec_obs
Declination of each individual outlier observation
deg
pos.eq.dec
double
primary
g_flux_obs
Flux value of each individual outlier observation
'electron'.s**-1
phot.flux;em.opt
double
g_flux_obs_error
Flux error value of each individual outlier observation
'electron'.s**-1
stat.error;phot.flux
float
g_mag_obs
Onboard G magnitudes of each individual outlier observation
mag
phot.mag;em.opt
float
primary
epoch_obs
Epoch of the individual outlier observation
d
stat.error;phot.mag
double
primary
gaiafpr.sso_observation
Solar System object observations. Each table line contains data obtained during the transit of the source on a single CCD, during a single transit. The corresponding epoch is provided. Data not varying within the transit are repeated identically for all single observations of that transit.
solution_id
Solution Identifier
meta.version
long
source_id
Source identifier
meta.id;meta.main
long
indexed
denomination
standard MPC denomination of the asteroid
meta.id.cross
char
transit_id
Transit Identifier
meta.id
long
observation_id
Observation Identifier
meta.id
long
indexed
number_mp
Minor Planet number
meta.id.cross
long
indexed
epoch
Gaia-Centric epoch TCB(Gaia)
d
time.epoch
stc:AstroCoords.Time.TimeInstant
double
epoch_err
Error in Gaia-Centric epoch
d
stat.error;time.epoch
double
epoch_utc
Gaia-Centric TCB epoch converted to UTC
d
time.epoch
stc.AstroCoords.Time.TimeInstant
double
ra
Right ascension of the source
deg
pos.eq.ra
stc:AstroCoords.Position2D.Value2.C1
double
indexed
dec
Declination of the source
deg
pos.eq.dec
stc:AstroCoords.Position2D.Value2.C2
double
indexed
ra_error_systematic
Standard error of right ascension, systematic
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position2D.Error2.C1
double
dec_error_systematic
Standard error of declination, systematic
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position2D.Error2.C2
double
ra_dec_correlation_systematic
Correlation of ra and dec errors, systematic
stat.correlation;pos.eq
double
ra_error_random
Standard error of right ascension, random
mas
stat.error;pos.eq.ra
stc:AstroCoords.Position2D.Error2.C1
double
dec_error_random
Standard error of declination, random
mas
stat.error;pos.eq.dec
stc:AstroCoords.Position2D.Error2.C2
double
ra_dec_correlation_random
Correlation of ra and dec errors, random
stat.correlation;pos.eq
double
x_gaia
Barycentric x position of Gaia
AU
pos.cartesian.x;pos.barycenter
stc:AstroCoords.Position3D.Value3.C1
double
y_gaia
Barycentric y position of Gaia
AU
pos.cartesian.y;pos.barycenter
stc:AstroCoords.Position3D.Value3.C2
double
z_gaia
Barycentric z position of Gaia
AU
pos.cartesian.z;pos.barycenter
stc:AstroCoords.Position3D.Value3.C3
double
vx_gaia
Barycentric x velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.x
stc:AstroCoords.Velocity3D.Value3.C1
double
vy_gaia
Barycentric y velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.y
stc:AstroCoords.Velocity3D.Value3.C2
double
vz_gaia
Barycentric z velocity of Gaia
AU.d**-1
phys.veloc;pos.barycenter;pos.cartesian.z
stc:AstroCoords.Velocity3D.Value3.C3
double
x_gaia_geocentric
Geocentric x position of Gaia
AU
pos.cartesian.x;pos.geocentric
stc:AstroCoords.Position3D.Value3.C1
double
y_gaia_geocentric
Geocentric y position of Gaia
AU
pos.cartesian.y;pos.geocentric
stc:AstroCoords.Position3D.Value3.C2
double
z_gaia_geocentric
Geocentric z position of Gaia
AU
pos.cartesian.z;pos.geocentric
stc:AstroCoords.Position3D.Value3.C3
double
vx_gaia_geocentric
Geocentric x velocity of Gaia
AU.d**-1
phys.veloc;pos.geocentric;pos.cartesian.x
stc:AstroCoords.Velocity3D.Value3.C1
double
vy_gaia_geocentric
Geocentric y velocity of Gaia
AU.d**-1
phys.veloc;pos.geocentric;pos.cartesian.y
stc:AstroCoords.Velocity3D.Value3.C2
double
vz_gaia_geocentric
Geocentric z velocity of Gaia
AU.d**-1
phys.veloc;pos.geocentric;pos.cartesian.z
stc:AstroCoords.Velocity3D.Value3.C3
double
position_angle_scan
Position angle of the scanning direction
deg
pos.posAng
double
astrometric_outcome_ccd
Result of processing the CCDs
meta.code.status
int
astrometric_outcome_transit
Result of processing the transit
meta.code.status
int
fov
Field of view
phys.angSize;instr.fov
short
is_rejected
Flag indicating if rejected by the orbital fit
meta.code.status
boolean
gaiafpr.sso_source
This table contains data related to Solar System objects observed by Gaia. The quantities in the table are derived from data reduction and are associated with single objects.
solution_id
Solution Identifier
meta.version
long
source_id
Source identifier
meta.id;meta.main
long
indexed
num_of_obs
number of observations
meta.number
int
number_mp
Minor Planet number
meta.id.cross
long
indexed
denomination
standard MPC denomination of the asteroid
meta.id.cross
char
epoch_state_vector
TCB epoch for the state vector
d
time.epoch
double
orbital_elements_var_covar_matrix
var-covar matrix on elliptical elements at reference Epoch
stat.covariance
double
h_state_vector
Heliocentric State Vector at reference Epoch
pos
double
h_state_vector_var_covar_matrix
Covariance matrix of the State Vector
stat.covariance
double
gaiafpr.interstellar_medium_params
This is the main table of DIB parameters from DIB-Spec, derived from spectra binned in galactic latitude, longitude and distance.
solution_id
Solution Identifier
meta.version
long
healpix
HEALPix identification
pos.healpix
int
indexed
lc
Central galactic longitude of voxel
deg
pos.galactic.lon
float
indexed
bc
Central galactic latitude of voxel
deg
pos.galactic.lat
float
indexed
dc
Central heliocentric distance of voxel
kpc
pos.distance
float
indexed
n_targets
Number of target stars in a voxel
meta.number
int
snr
SNR of the stacked ISM spectrum at 862.0 nm
stat.snr
float
indexed
ew8620
DIB equivalent width at 862.0 nm
nm
spect.line.eqWidth
float
ew8620_lower
Lower confidence level (16%) of DIB equivalent width at 862.0 nm
nm
spect.line.eqWidth;stat.value
float
ew8620_upper
Upper confidence level (84%) of DIB equivalent width at 862.0 nm
nm
spect.line.eqWidth;stat.value
float
flags8620
Quality flag of DIB parameters at 862.0 nm
meta.code.qual
int
indexed
p08620
p0 parameter at 862.0 nm
stat.value;spect.line
float
p08620_lower
Lower confidence level (16%) of p0 parameter at 862.0 nm
stat.value;spect.line
float
p08620_upper
Upper confidence level (84%) of p0 parameter at 862.0 nm
stat.value;spect.line
float
p18620
p1 parameter at 862.0 nm
nm
stat.value;spect.line
float
p18620_lower
Lower confidence level (16%) of p1 parameter at 862.0 nm
nm
stat.value;spect.line
float
p18620_upper
Upper confidence level (84%) of p1 parameter at 862.0 nm
nm
stat.value;spect.line
float
p28620
p2 parameter at 862.0 nm
nm
stat.value;spect.line
float
p28620_lower
Lower confidence level (16%) of p2 parameter at 862.0 nm
nm
stat.value;spect.line
float
p28620_upper
Upper confidence level (84%) of p2 parameter at 862.0 nm
nm
stat.value;spect.line
float
ew8648
DIB equivalent width at 864.8 nm
nm
spect.line.eqWidth
float
ew8648_lower
Lower confidence level (16%) of DIB equivalent width at 864.8 nm
nm
spect.line.eqWidth;stat.value
float
ew8648_upper
Upper confidence level (84%) of DIB equivalent width at 864.8 nm
nm
spect.line.eqWidth;stat.value
float
flags8648
Quality flag of DIB parameters at 864.8 nm
meta.code.qual
int
indexed
p08648
p0 parameter at 864.8 nm
stat.value;spect.line
float
p08648_lower
Lower confidence level (16%) of p0 parameter at 864.8 nm
stat.value;spect.line
float
p08648_upper
Upper confidence level (84%) of p0 parameter at 864.8 nm
stat.value;spect.line
float
p18648
p1 parameter at 864.8 nm
nm
stat.value;spect.line
float
p18648_lower
Lower confidence level (16%) of p1 parameter at 864.8 nm
nm
stat.value;spect.line
float
p18648_upper
Upper confidence level (84%) of p1 parameter at 864.8 nm
nm
stat.value;spect.line
float
p28648
p2 parameter at 864.8 nm
nm
stat.value;spect.line
float
p28648_lower
Lower confidence level (16%) of p2 parameter at 864.8 nm
nm
stat.value;spect.line
float
p28648_upper
Upper confidence level (84%) of p2 parameter at 864.8 nm
nm
stat.value;spect.line
float
dibcont_a0
Slope a0 of the global continuum fit of the full stacked spectrum
stat.fit.param;spect.continuum
float
dibcont_a0_lower
Lower confidence level (16%) of the slope a0 of the global continuum fit
stat.fit.param;spect.continuum
float
dibcont_a0_upper
Upper confidence level (84%) of the slope a0 of the global continuum fit
stat.fit.param;spect.continuum
float
dibcont_a1
Intercept a1 of the global continuum fit of the full stacked spectrum
stat.fit.param;spect.continuum
float
gaiafpr.interstellar_medium_spectra
Table of the stacked Interstellar Medium Spectra
solution_id
Solution Identifier
meta.version
long
healpix
The HEALPix Identification
pos.healpix
int
indexed
lc
Central galactic longitude of voxel
deg
pos.galactic.lon
float
indexed
bc
Central galactic latitude of voxel
deg
pos.galactic.lat
float
indexed
dc
Central heliocentric distance of voxel
kpc
pos.distance
float
indexed
lambda
Wavelength
angstrom
em.wl
float
indexed
flux
Normalised flux
phot.flux
float
flux_uncertainty
Uncertainty in the flux parameter
stat.error;phot.flux
float
gaiafpr.vari_epoch_radial_velocity
This table contains the epoch radial velocity data points for a sub-set of variable stars. Each entry is a radial velocity in the solar barycentric reference frame for a given object and observation time.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier (unique within a particular Data Release)
meta.id;meta.main
long
indexed
transit_id
Transit unique identifier
meta.id
long
indexed
rv_obs_time
Observing time of the transit
d
time.epoch
spec:Spectrum.Data.TimeAxis.Value
double
radial_velocity
Barycentric radial velocity
km.s**-1
spect.dopplerVeloc.opt
double
radial_velocity_error
Barycentric radial velocity error
km.s**-1
stat.error;spect.dopplerVeloc.opt
double
rejected_by_variability
Rejected by DPAC variability processing (or variability analysis)
meta.code.status
boolean
gaiafpr.vari_long_period_variable
This table describes the Long Period Variable stars.
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
frequency
Frequency from G FoV time series
d**-1
src.var.pulse
double
frequency_error
Uncertainty on the frequency from G FoV time series
d**-1
stat.error;src.var.pulse
float
amplitude
Variability amplitude based on the best-fit model to the G FoV time series
mag
src.var.amplitude
float
median_delta_wl_rp
Median of the pseudo-wavelength separations between the two highest peaks in RP spectra
em.wl;stat.median
float
is_cstar
Flag to mark C-stars
meta.code.class
boolean
frequency_rv
Frequency from radial velocity time series
d**-1
src.var.pulse
double
frequency_rv_error
Uncertainty on the frequency from radial velocity time series
d**-1
stat.error;src.var.pulse
float
amplitude_rv
Variability amplitude based on the best-fit model to the radial velocity time series
km.s**-1
src.var.amplitude
float
flag_rv
Flag identifying a top-quality subsample
meta.code.qual
boolean
gaiafpr.vari_rad_vel_statistics
Statistical parameters of radial velocity time series using only transits retained and not rejected (see the relevant rejection flag in the epoch radial velocity variability table).
solution_id
Solution Identifier
meta.version
long
source_id
Unique source identifier
meta.id;meta.main
long
indexed
num_selected_rv
Total number of radial velocity transits selected for variability analysis
meta.number
short
mean_obs_time_rv
Mean observation time for radial velocity transits
d
time.epoch;stat.mean
stc:AstroCoords.Time.TimeInstant
double
time_duration_rv
Time duration of the time series for radial velocity transits
d
time.duration
float
min_rv
Minimum radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.min
float
max_rv
Maximum radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.max
float
mean_rv
Mean radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.mean
float
median_rv
Median radial velocity
km.s**-1
spect.dopplerVeloc.opt;stat.median
float
range_rv
Difference between the highest and lowest radial velocity transits
km.s**-1
spect.dopplerVeloc.opt;arith.diff
float
std_dev_rv
Square root of the unweighted radial velocity variance
km.s**-1
stat.stdev;spect.dopplerVeloc.opt
float
skewness_rv
Standardized unweighted radial velocity skewness
spect.dopplerVeloc.opt;stat.param
float
kurtosis_rv
Standardized unweighted radial velocity kurtosis
spect.dopplerVeloc.opt;stat.param
float
mad_rv
Median Absolute Deviation (MAD) for radial velocity transits
km.s**-1
spect.dopplerVeloc.opt;stat.param
float
abbe_rv
Abbe value for radial velocity transits
spect.dopplerVeloc.opt;stat.param
float
iqr_rv
Interquartile range for radial velocity transits
km.s**-1
spect.dopplerVeloc.opt;stat.param
float
job_upload
public
public.hipparcos
This is the main Hipparcos table containing a summary of the main astrometric and photometric properties of each source in The Hipparcos and Tycho Catalogues (ESA 1997). Median astrometric standard errors (in position, parallax, and annual proper motion) are in the range 0.7-0.9 milliarcsec (mas) for stars brighter than 9 mag at the catalogue epoch (J1991.25). The catalogue is a materialisation of the ICRS reference system, coinciding with its principal axes at the level of +/-0.6 mas, and with proper motions consistent with an inertial system at the level of +/-0.25 mas/yr. The 118,218 constituent stars provide a mean sky density of ~3 stars/deg^2. Reference paper: https://ui.adsabs.harvard.edu/abs/1997A%26A...323L..49P/abstract
hip
Identifier (HIP number) (H1)
meta.id;meta.main
int
indexed
primary
proxy
[HT] Proximity flag (H2)
meta.code
char
rahms
Right ascension in h m s, ICRS (J1991.25) (H3)
pos.eq.ra
char
dedms
Declination in deg ' ", ICRS (J1991.25) (H4)
pos.eq.dec
char
vmag
? Magnitude in Johnson V (H5)
mag
phot.mag;em.opt.V
float
varflag
[1,3]? Coarse variability flag (H6)
meta.code;src.var
int
r_vmag
[GHT] Source of magnitude (H7)
meta.ref;pos.frame
char
ra
? alpha, degrees (ICRS, Epoch=J1991.25) (H8)
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
de
? delta, degrees (ICRS, Epoch=J1991.25) (H9)
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
astroref
[*+A-Z] Reference flag for astrometry (H10)
meta.bib
char
plx
? Trigonometric parallax (H11)
mas
pos.parallax.trig
float
pmra
*? Proper motion mu_alpha.cos(delta), ICRS(H12)
mas/yr
pos.pm;pos.eq.ra
float
pmde
*? Proper motion mu_delta, ICRS (H13)
mas/yr
pos.pm;pos.eq.dec
float
e_radeg
*? Standard error in RA*cos(DEdeg) (H14)
mas
stat.error;pos.eq.ra
float
e_dedeg
*? Standard error in DE (H15)
mas
stat.error;pos.eq.dec
float
e_plx
? Standard error in Plx (H16)
mas
stat.error;pos.parallax
float
e_pmra
? Standard error in pmRA (H17)
mas/yr
stat.error;pos.pm;pos.eq.ra
float
e_pmde
? Standard error in pmDE (H18)
mas/yr
stat.error;pos.pm;pos.eq.dec
float
dera
[-1/1]? Correlation, DE/RA*cos(delta) (H19)
stat.correlation
float
plxra
[-1/1]? Correlation, Plx/RA*cos(delta) (H20)
stat.correlation
float
plxde
[-1/1]? Correlation, Plx/DE (H21)
stat.correlation
float
pmrara
[-1/1]? Correlation, pmRA/RA*cos(delta) (H22)
stat.correlation
float
pmrade
[-1/1]? Correlation, pmRA/DE (H23)
stat.correlation
float
pmraplx
[-1/1]? Correlation, pmRA/Plx (H24)
stat.correlation
float
pmdera
[-1/1]? Correlation, pmDE/RA*cos(delta) (H25)
stat.correlation
float
pmdede
[-1/1]? Correlation, pmDE/DE (H26)
stat.correlation
float
pmdeplx
[-1/1]? Correlation, pmDE/Plx (H27)
stat.correlation
float
pmdepmra
[-1/1]? Correlation, pmDE/pmRA (H28)
stat.correlation
float
f1
? Percentage of rejected data (H29)
stat.value;arith.ratio
int
f2
? Goodness-of-fit parameter (H30)
stat.fit.goodness
float
btmag
? Mean BT magnitude (H32)
mag
phot.mag;em.opt.B
float
e_btmag
? Standard error on BTmag (H33)
mag
stat.error;phot.mag;em.opt.B
float
vtmag
? Mean VT magnitude (H34)
mag
phot.mag;em.opt.V
float
e_vtmag
? Standard error on VTmag (H35)
mag
stat.error;phot.mag;em.opt.V
float
m_btmag
[A-Z*-] Reference flag for BT and VTmag (H36)
meta.code.multip
char
b_v
? Johnson B-V colour (H37)
mag
phot.color
float
e_b_v
? Standard error on B-V (H38)
mag
stat.error;phot.color
float
r_b_v
[GT] Source of B-V from Ground or Tycho (H39)
meta.ref;phot.color
char
v_i
? Colour index in Cousins' system (H40)
mag
phot.color
float
e_v_i
? Standard error on V-I (H41)
mag
stat.error;phot.color
float
r_v_i
[A-T] Source of V-I (H42)
meta.ref;phot.color
char
combmag
[*] Flag for combined Vmag, B-V, V-I (H43)
meta.code
char
hpmag
? Median magnitude in Hipparcos system (H44)
mag
phot.mag;em.opt.V
float
e_hpmag
? Standard error on Hpmag (H45)
mag
stat.error;phot.mag;em.IR.H
float
hpscat
? Scatter on Hpmag (H46)
mag
stat.error
float
o_hpmag
? Number of observations for Hpmag (H47)
meta.number
int
m_hpmag
[A-Z*-] Reference flag for Hpmag (H48)
meta.code.multip
char
hpmax
? Hpmag at maximum (5th percentile) (H49)
mag
stat.error
float
hpmin
? Hpmag at minimum (95th percentile) (H50)
mag
stat.error
float
period
? Variability period (days) (H51)
d
src.var
float
hvartype
[CDMPRU]? variability type (H52)
meta.note
char
morevar
[12] Additional data about variability (H53)
meta.code
int
morephoto
[ABC] Light curve Annex (H54)
meta.code
char
ccdm
CCDM identifier (H55)
meta.id.cross
char
n_ccdm
[HIM] Historical status flag (H56)
meta.note
char
nsys
? Number of entries with same CCDM (H57)
meta.number
int
ncomp
? Number of components in this entry (H58)
meta.number
int
multflag
[CGOVX] Double/Multiple Systems flag (H59)
meta.code
char
source
[PFILS] Astrometric source flag (H60)
meta.bib
char
qual
[ABCDS] Solution quality (H61)
meta.code.qual;stat.fit
char
m_hip
Component identifiers (H62)
meta.code.multip
char
theta
? Position angle between components (H63)
deg
pos.posAng
int
rho
? Angular separation between components (H64)
arcsec
pos.angDistance
float
e_rho
? Standard error on rho (H65)
arcsec
stat.error
float
dhp
? Magnitude difference of components (H66)
mag
phot.mag;arith.diff
float
e_dhp
? Standard error on dHp (H67)
mag
stat.error
float
survey
[S] Flag indicating a Survey Star (H68)
meta.code
char
chart
[DG] Identification Chart (H69)
meta.id;obs.field
char
notes
[DGPWXYZ] Existence of notes (H70)
meta.note
char
hd
[1/359083]? HD number (H71)
meta.id.cross
int
bd
Bonner DM (H72)
meta.id.cross
char
cod
Cordoba Durchmusterung (DM) (H73)
meta.id.cross
char
cpd
Cape Photographic DM (H74)
meta.id.cross
char
v_ired
V-I used for reductions (H75)
mag
phot.color
float
sptype
Spectral type (H76)
src.spType
char
r_sptype
[1234GKSX]? Source of spectral type (H77)
meta.ref;pos.frame
char
public.hipparcos_newreduction
This is the main Hipparcos table containing a summary of the main astrometric and photometric properties of each source in the "Hipparcos New Reduction: The Astrometric Catalogue" (Van Leeuwen 2007). This new reduction of the astrometric data as produced by the Hipparcos mission has uncertainties for nearly all stars brighter than Hipparcos magnitude Hp = 8 mag that are better, by up to a factor 4, than in the original catalogue (ESA 1997). The astrometric covariance matrix can be reconstructed following Appendix B of Michalik+, 2014, A&A, 571, A85. Reference paper: https://ui.adsabs.harvard.edu/abs/2007A%26A...474..653V/abstract (DOI: 10.1051/0004-6361:20078357)
hip
Hipparcos identifier
int
indexed
primary
ic
Entry in one of the suppl.catalogues
int
ra
Right Ascension in ICRS, Ep=1991.25
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
Declination in ICRS, Ep=1991.25
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_rad
Right Ascension in ICRS, Ep=1991.25
rad
double
de_rad
Declination in ICRS, Ep=1991.25
rad
double
plx
Parallax
mas
double
pm_ra
Proper motion in Right Ascension
mas.yr**-1
double
pm_de
Proper motion in Declination
mas.yr**-1
double
e_ra_rad
Formal error on RArad
mas
double
e_de_rad
Formal error on DErad
mas
double
e_plx
Formal error on Plx
mas
double
e_pm_ra
Formal error on pmRA
mas.yr**-1
double
e_pm_de
Formal error on pmDE
mas.yr**-1
double
f1
Percentage rejected data
int
f2
Goodness of fit
double
nc
Number of components
int
ntr
Number of field transits used
int
u3
Upper-triangular weight matrix element 3
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u4
Upper-triangular weight matrix element 4
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u5
Upper-triangular weight matrix element 5
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u6
Upper-triangular weight matrix element 6
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u7
Upper-triangular weight matrix element 7
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u8
Upper-triangular weight matrix element 8
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u9
Upper-triangular weight matrix element 9
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
sn
[0,159] Solution type new reduction
The solution type is a number 10xd+s consisting of two parts d and s:
- s describes the type of solution adopted:
1 = stochastic solution (dispersion is given in the 'var' column)
3 = VIM solution (additional parameters in file hipvim.dat)
5 = 5-parameter solution (this file)
7 = 7-parameter solution (additional parameters in hip7p.dat)
9 = 9-parameter solution (additional parameters in hip9p.dat)
- d describes peculiarities, as a combination of values:
0 = single star
1 = double star
2 = variable in the system with amplitude > 0.2mag
4 = astrometry refers to the photocenter
8 = measurements concern the secondary (fainter) in the double system
int
so
[0,5] Solution type old reduction
as follows:
0 = standard 5-parameter solution
1 = 7- or 9-parameter solution
2 = stochastic solution
3 = double and multiple stars
4 = orbital binary as resolved in the published catalog
5 = VIM (variability-induced mover) solution
int
var
Cosmic dispersion added (stochastic solution)
double
u1
Upper-triangular weight matrix element 1
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u2
Upper-triangular weight matrix element 2
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u10
Upper-triangular weight matrix element 10
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u11
Upper-triangular weight matrix element 11
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u12
Upper-triangular weight matrix element 12
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u13
Upper-triangular weight matrix element 13
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u14
Upper-triangular weight matrix element 14
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
u15
Upper-triangular weight matrix element 15
The upper-triangular weight matrix U is related to the
covariance matrix C by
C-1 = ∼U U (∼U represents transposed U)
The elements Ui forming the upper triangular matrix are stored as
± -+
| (1) (2) (4) (7) (11) |
| 0 (3) (5) (8) (12) |
| 0 0 (6) (9) (13) |
| 0 0 0 (10) (14) |
| 0 0 0 0 (15) |
± -+
on the astrometric parameters RA, Dec, plx, pmRA, pmDE,
and derivatives of proper motions for 7- and 9-parameter
solutions.
double
hp_mag
Hipparcos magnitude
mag
double
b_v
Colour index
mag
double
v_i
V-I colour index
mag
double
e_hp_mag
Error on mean Hpmag
mag
double
e_b_v
Formal error on colour index
mag
double
s_hp
Scatter of Hpmag
mag
double
va
[0,2] Reference to variability annex
int
public.hubble_sc
The Hubble Source Catalogue (HSC, version 1) combines the tens of thousands of visit-based source lists in the Hubble Legacy Archive into a single master catalogue. Version 1 of the Hubble Source Catalogue includes roughly 80 million detections of nearly 30 million objects involving about 160,000 HST exposures taken with 112 different detector/filter combinations covering WFPC2, ACS/WFC, WFC3/UVIS, and WFC3/IR. The mean photometric accuracy for the catalogue as a whole is better than 0.10 mag, with relative accuracy as good as 0.02 mag in certain circumstances (e.g., bright isolated stars). The relative astrometric residuals are typically within 10 mas, with a value for the mode of 2.3 mas. The absolute astrometric accuracy is better than approximately 0.1 arcsec for most sources but can be much larger for fields that could not be matched to the Pan-STARRS, SDSS, or 2MASS reference systems. Reference paper: https://ui.adsabs.harvard.edu/abs/2016AJ....151..134W/abstract (DOI: 10.3847/0004-6256/151/6/134)
match_id
Identifier for the match
meta.id
long
indexed
primary
matchra
Right ascension for the match (J2000)
deg
pos.eq.ra;meta.main
double
indexed
primary
matchdec
Declination for the match (J2000)
deg
pos.eq.dec;meta.main
double
indexed
primary
htmid
Hierarchical triangular index (htm) level 20 identifier for object position
pos.htm
long
indexed
primary
x
X coordinate of object position on unit celestial sphere
pos.cartesian.x
double
indexed
primary
y
Y coordinate of object position on unit celestial sphere
pos.cartesian.y
double
indexed
primary
z
Z coordinate of object position on unit celestial sphere
pos.cartesian.z
double
indexed
primary
dsigma
Standard deviation of the distance (D) between source and match positions
mas
stat.stdev
double
indexed
primary
abscorr
[Y/N] Was absolute astrometry correction made?
meta.code
char
indexed
primary
starttime
Observation start time (YYYY-MM-DD hh:mm:ss.sss)
YYYY-MM-DD
time.start;obs
char
indexed
primary
stoptime
Observation stop time (YYYY-MM-DD hh:mm:ss.sss)
YYYY-MM-DD
time.end;obs
char
indexed
primary
startmjd
Observation start time in MJD (Mean Julian Date)
day
time.start;obs
double
indexed
primary
stopmjd
Observation stop time in MJD (Mean Julian Date)
day
time.end;obs
double
indexed
primary
targetname
Target name for one of the observations
meta.id
char
indexed
primary
ci
Normalized (by detector and filter) mean value of concentration index defined as difference between magnitude in small and large apertures
mag
phot.mag;arith.diff
double
indexed
primary
ci_sigma
Standard deviation in measurements of normalized Concentration Index
mag
stat.stdev;phot.mag;arith.diff
double
indexed
primary
kronradius
Mean value of the Kron radius from Source Extractor
arcsec
phys.angSize;stat.mean
double
indexed
primary
kronradius_sigma
Standard deviation in measurements of Kron radius
arcsec
stat.stdev;phys.size.radius
double
indexed
primary
extinction
E(B-V) from Schlegel et al. (1998)
mag
phys.absorption.gal
float
indexed
primary
numfilters
Number of filters used in the match
meta.number
int
indexed
primary
numvisits
Number of visits used in the match
meta.number
int
indexed
primary
numimages
Number of images used in the match
meta.number
int
indexed
primary
a_f435w
Mean magnitude using ACS with f435w filter
mag
phot.mag;stat.mean
double
a_f435w_sigma
Standard deviation around mean magnitude using ACS with f435w filter
mag
stat.stdev;phot.mag
double
a_f435w_n
Number of measurements using ACS with f435w filter
meta.number
int
a_f475w
Mean magnitude using ACS with f475w filter
mag
phot.mag;stat.mean
double
a_f475w_sigma
Standard deviation around mean magnitude using ACS with f475w filter
mag
stat.stdev;phot.mag
double
a_f475w_n
Number of measurements using ACS with f475w filter
meta.number
int
a_f502n
Mean magnitude using ACS with f502n filter
mag
phot.mag;stat.mean
double
a_f502n_sigma
Standard deviation around mean magnitude using ACS with f502n filter
mag
stat.stdev;phot.mag
double
a_f502n_n
Number of measurements using ACS with f502n filter
meta.number
int
a_f550m
Mean magnitude using ACS with f550m filter
mag
phot.mag;stat.mean
double
a_f550m_sigma
Standard deviation around mean magnitude using ACS with f550m filter
mag
stat.stdev;phot.mag
double
a_f550m_n
Number of measurements using ACS with f550m filter
meta.number
int
a_f555w
Mean magnitude using ACS with f555w filter
mag
phot.mag;stat.mean
double
a_f555w_sigma
Standard deviation around mean magnitude using ACS with f555w filter
mag
stat.stdev;phot.mag
double
a_f555w_n
Number of measurements using ACS with f555w filter
meta.number
int
a_f606w
Mean magnitude using ACS with f606w filter
mag
phot.mag;stat.mean
double
a_f606w_sigma
Standard deviation around mean magnitude using ACS with f606w filter
mag
stat.stdev;phot.mag
double
a_f606w_n
Number of measurements using ACS with f606w filter
meta.number
int
a_f625w
Mean magnitude using ACS with f625w filter
mag
phot.mag;stat.mean
double
a_f625w_sigma
Standard deviation around mean magnitude using ACS with f625w filter
mag
stat.stdev;phot.mag
double
a_f625w_n
Number of measurements using ACS with f625w filter
meta.number
int
a_f658n
Mean magnitude using ACS with f658n filter
mag
phot.mag;stat.mean
double
a_f658n_sigma
Standard deviation around mean magnitude using ACS with f658n filter
mag
stat.stdev;phot.mag
double
a_f658n_n
Number of measurements using ACS with f658n filter
meta.number
int
a_f660n
Mean magnitude using ACS with f660n filter
mag
phot.mag;stat.mean
double
a_f660n_sigma
Standard deviation around mean magnitude using ACS with f660n filter
mag
stat.stdev;phot.mag
double
a_f660n_n
Number of measurements using ACS with f660n filter
meta.number
int
a_f775w
Mean magnitude using ACS with f775w filter
mag
phot.mag;stat.mean
double
a_f775w_sigma
Standard deviation around mean magnitude using ACS with f775w filter
mag
stat.stdev;phot.mag
double
a_f775w_n
Number of measurements using ACS with f775w filter
meta.number
int
a_f814w
Mean magnitude using ACS with f814w filter
mag
phot.mag;stat.mean
double
a_f814w_sigma
Standard deviation around mean magnitude using ACS with f814w filter
mag
stat.stdev;phot.mag
double
a_f814w_n
Number of measurements using ACS with f814w filter
meta.number
int
a_f850lp
Mean magnitude using ACS with f850lp filter
mag
phot.mag;stat.mean
double
a_f850lp_sigma
Standard deviation around mean magnitude using ACS with f850lp filter
mag
stat.stdev;phot.mag
double
a_f850lp_n
Number of measurements using ACS with f850lp filter
meta.number
int
w2_f122m
Mean magnitude using WFPC2 with f122m filter
mag
phot.mag;stat.mean
double
w2_f122m_sigma
Standard deviation around mean magnitude using WFPC2 with f122m filter
mag
stat.stdev;phot.mag
double
w2_f122m_n
Number of measurements using WFPC2 with f122m filter
meta.number
int
w2_f160bn15
Mean magnitude using WFPC2 with f160bn15 filter
mag
phot.mag;stat.mean
double
w2_f160bn15_sigma
Standard deviation around mean magnitude using WFPC2 with f160bn15 filter
mag
stat.stdev;phot.mag
double
w2_f160bn15_n
Number of measurements using WFPC2 with f160bn15 filter
meta.number
int
w2_f160bw
Mean magnitude using WFPC2 with f160bw filter
mag
phot.mag;stat.mean
double
w2_f160bw_sigma
Standard deviation around mean magnitude using WFPC2 with f160bw filter
mag
stat.stdev;phot.mag
double
w2_f160bw_n
Number of measurements using WFPC2 with f160bw filter
meta.number
int
w2_f170w
Mean magnitude using WFPC2 with f170w filter
mag
phot.mag;stat.mean
double
w2_f170w_sigma
Standard deviation around mean magnitude using WFPC2 with f170w filter
mag
stat.stdev;phot.mag
double
w2_f170w_n
Number of measurements using WFPC2 with f170w filter
meta.number
int
w2_f185w
Mean magnitude using WFPC2 with f185w filter
mag
phot.mag;stat.mean
double
w2_f185w_sigma
Standard deviation around mean magnitude using WFPC2 with f185w filter
mag
stat.stdev;phot.mag
double
w2_f185w_n
Number of measurements using WFPC2 with f185w filter
meta.number
int
w2_f218w
Mean magnitude using WFPC2 with f218w filter
mag
phot.mag;stat.mean
double
w2_f218w_sigma
Standard deviation around mean magnitude using WFPC2 with f218w filter
mag
stat.stdev;phot.mag
double
w2_f218w_n
Number of measurements using WFPC2 with f218w filter
meta.number
int
w2_f255w
Mean magnitude using WFPC2 f255w filter
mag
phot.mag;stat.mean
double
w2_f255w_sigma
Standard deviation around mean magnitude using WFPC2 with f255w filter
mag
stat.stdev;phot.mag
double
w2_f255w_n
Number of measurements using WFPC2 with f255w filter
meta.number
int
w2_f300w
Mean magnitude using WFPC2 with f300w filter
mag
phot.mag;stat.mean
double
w2_f300w_sigma
Standard deviation around mean magnitude using WFPC2 with f300w filter
mag
stat.stdev;phot.mag
double
w2_f300w_n
Number of measurements using WFPC2 with f300w filter
meta.number
int
w2_f336w
Mean magnitude using WFPC2 with f336w filter
mag
phot.mag;stat.mean
double
w2_f336w_sigma
Standard deviation around mean magnitude using WFPC2 with f336w filter
mag
stat.stdev;phot.mag
double
w2_f336w_n
Number of measurements using WFPC2 with f336w filter
meta.number
int
w2_f343n
Mean magnitude using WFPC2 with f343n filter
mag
phot.mag;stat.mean
double
w2_f343n_sigma
Standard deviation around mean magnitude using WFPC2 with f343n filter
mag
stat.stdev;phot.mag
double
w2_f343n_n
Number of measurements using WFPC2 with f343n filter
meta.number
int
w2_f375n
Mean magnitude using WFPC2 with f375n filter
mag
phot.mag;stat.mean
double
w2_f375n_sigma
Standard deviation around mean magnitude using WFPC2 with f375n filter
mag
stat.stdev;phot.mag
double
w2_f375n_n
Number of measurements using WFPC2 with f375n filter
meta.number
int
w2_f380w
Mean magnitude using WFPC2 with f380w filter
mag
phot.mag;stat.mean
double
w2_f380w_sigma
Standard deviation around mean magnitude using WFPC2 with f380w filter
mag
stat.stdev;phot.mag
double
w2_f380w_n
Number of measurements using WFPC2 with f380w filter
meta.number
int
w2_f390n
Mean magnitude using WFPC2 with f390n filter
mag
phot.mag;stat.mean
double
w2_f390n_sigma
Standard deviation around mean magnitude using WFPC2 with f390n filter
mag
stat.stdev;phot.mag
double
w2_f390n_n
Number of measurements using WFPC2 with f390n filter
meta.number
int
w2_f410m
Mean magnitude using WFPC2 with f410m filter
mag
phot.mag;stat.mean
double
w2_f410m_sigma
Standard deviation around mean magnitude using WFPC2 with f410m filter
mag
stat.stdev;phot.mag
double
w2_f410m_n
Number of measurements using WFPC2 with f410m filter
meta.number
int
w2_f437n
Mean magnitude using WFPC2 with f437n filter
mag
phot.mag;stat.mean
double
w2_f437n_sigma
Standard deviation around mean magnitude using WFPC2 with f437n filter
mag
stat.stdev;phot.mag
double
w2_f437n_n
Number of measurements using WFPC2 with f437n filter
meta.number
int
w2_f439w
Mean magnitude using WFPC2 with f439w filter
mag
phot.mag;stat.mean
double
w2_f439w_sigma
Standard deviation around mean magnitude using WFPC2 with f439w filter
mag
stat.stdev;phot.mag
double
w2_f439w_n
Number of measurements using WFPC2 with f439w filter
meta.number
int
w2_f450w
Mean magnitude using WFPC2 with f450w filter
mag
phot.mag;stat.mean
double
w2_f450w_sigma
Standard deviation around mean magnitude using WFPC2 with f450w filter
mag
stat.stdev;phot.mag
double
w2_f450w_n
Number of measurements using WFPC2 with f450w filter
meta.number
int
w2_f467m
Mean magnitude using WFPC2 with f467m filter
mag
phot.mag;stat.mean
double
w2_f467m_sigma
Standard deviation around mean magnitude using WFPC2 with f467m filter
mag
stat.stdev;phot.mag
double
w2_f467m_n
Number of measurements using WFPC2 with f467m filter
meta.number
int
w2_f469n
Mean magnitude using WFPC2 with f469n filter
mag
phot.mag;stat.mean
double
w2_f469n_sigma
Standard deviation around mean magnitude using WFPC2 with f469n filter
mag
stat.stdev;phot.mag
double
w2_f469n_n
Number of measurements using WFPC2 with f469n filter
meta.number
int
w2_f487n
Mean magnitude using WFPC2 with f487n filter
mag
phot.mag;stat.mean
double
w2_f487n_sigma
Standard deviation around mean magnitude using WFPC2 with f487n filter
mag
stat.stdev;phot.mag
double
w2_f487n_n
Number of measurements using WFPC2 with f487n filter
meta.number
int
w2_f502n
Mean magnitude using WFPC2 with f502n filter
mag
phot.mag;stat.mean
double
w2_f502n_sigma
Standard deviation around mean magnitude using WFPC2 with f502n filter
mag
stat.stdev;phot.mag
double
w2_f502n_n
Number of measurements using WFPC2 with f502n filter
meta.number
int
w2_f547m
Mean magnitude using WFPC2 with f547m filter
mag
phot.mag;stat.mean
double
w2_f547m_sigma
Standard deviation around mean magnitude using WFPC2 with f547m filter
mag
stat.stdev;phot.mag
double
w2_f547m_n
Number of measurements using WFPC2 with f547m filter
meta.number
int
w2_f555w
Mean magnitude using WFPC2 with f555w filter
mag
phot.mag;stat.mean
double
w2_f555w_sigma
Standard deviation around mean magnitude using WFPC2 with f555w filter
mag
stat.stdev;phot.mag
double
w2_f555w_n
Number of measurements using WFPC2 with f555w filter
meta.number
int
w2_f569w
Mean magnitude using WFPC2 with f569w filter
mag
phot.mag;stat.mean
double
w2_f569w_sigma
Standard deviation around mean magnitude using WFPC2 with f569w filter
mag
stat.stdev;phot.mag
double
w2_f569w_n
Number of measurements using WFPC2 with f569w filter
meta.number
int
w2_f588n
Mean magnitude using WFPC2 with f588n filter
mag
phot.mag;stat.mean
double
w2_f588n_sigma
Standard deviation around mean magnitude using WFPC2 with f588n filter
mag
stat.stdev;phot.mag
double
w2_f588n_n
Number of measurements using WFPC2 with f588n filter
meta.number
int
w2_f606w
Mean magnitude using WFPC2 with f606w filter
mag
phot.mag;stat.mean
double
w2_f606w_sigma
Standard deviation around mean magnitude using WFPC2 with f606w filter
mag
stat.stdev;phot.mag
double
w2_f606w_n
Number of measurements using WFPC2 with f606w filter
meta.number
int
w2_f622w
Mean magnitude using WFPC2 with f622w filter
mag
phot.mag;stat.mean
double
w2_f622w_sigma
Standard deviation around mean magnitude using WFPC2 with f622w filter
mag
stat.stdev;phot.mag
double
w2_f622w_n
Number of measurements using WFPC2 with f622w filter
meta.number
int
w2_f631n
Mean magnitude using WFPC2 with f631n filter
mag
phot.mag;stat.mean
double
w2_f631n_sigma
Standard deviation around mean magnitude using WFPC2 with f631n filter
mag
stat.stdev;phot.mag
double
w2_f631n_n
Number of measurements using WFPC2 with f631n filter
meta.number
int
w2_f656n
Mean magnitude using WFPC2 with f656n filter
mag
phot.mag;stat.mean
double
w2_f656n_sigma
Standard deviation around mean magnitude using WFPC2 with f656n filter
mag
stat.stdev;phot.mag
double
w2_f656n_n
Number of measurements using WFPC2 with f656n filter
meta.number
int
w2_f658n
Mean magnitude using WFPC2 with f658n filter
mag
phot.mag;stat.mean
double
w2_f658n_sigma
Standard deviation around mean magnitude using WFPC2 with f658n filter
mag
stat.stdev;phot.mag
double
w2_f658n_n
Number of measurements using WFPC2 with f658n filter
meta.number
int
w2_f673n
Mean magnitude using WFPC2 with f673n filter
mag
phot.mag;stat.mean
double
w2_f673n_sigma
Standard deviation around mean magnitude using WFPC2 with f673n filter
mag
stat.stdev;phot.mag
double
w2_f673n_n
Number of measurements using WFPC2 with f673n filter
meta.number
int
w2_f675w
Mean magnitude using WFPC2 with f675w filter
mag
phot.mag;stat.mean
double
w2_f675w_sigma
Standard deviation around mean magnitude using WFPC2 with f675w filter
mag
stat.stdev;phot.mag
double
w2_f675w_n
Number of measurements using WFPC2 with f675w filter
meta.number
int
w2_f702w
Mean magnitude using WFPC2 with f702w filter
mag
phot.mag;stat.mean
double
w2_f702w_sigma
Standard deviation around mean magnitude using WFPC2 with f702w filter
mag
stat.stdev;phot.mag
double
w2_f702w_n
Number of measurements using with WFPC2 f702w filter
meta.number
int
w2_f785lp
Mean magnitude using WFPC2 with f785lp filter
mag
phot.mag;stat.mean
double
w2_f785lp_sigma
Standard deviation around mean magnitude using WFPC2 with f785lp filter
mag
stat.stdev;phot.mag
double
w2_f785lp_n
Number of measurements using WFPC2 with f785lp filter
meta.number
int
w2_f791w
Mean magnitude using WFPC2 with f791w filter
mag
phot.mag;stat.mean
double
w2_f791w_sigma
Standard deviation around mean magnitude using WFPC2 with f791w filter
mag
stat.stdev;phot.mag
double
w2_f791w_n
Number of measurements using WFPC2 with f791w filter
meta.number
int
w2_f814w
Mean magnitude using WFPC2 with f814w filter
mag
phot.mag;stat.mean
double
w2_f814w_sigma
Standard deviation around mean magnitude using WFPC2 with f814w filter
mag
stat.stdev;phot.mag
double
w2_f814w_n
Number of measurements using WFPC2 with f814w filter
meta.number
int
w2_f850lp
Mean magnitude using WFPC2 with f850lp filter
mag
phot.mag;stat.mean
double
w2_f850lp_sigma
Standard deviation around mean magnitude using WFPC2 with f850lp filter
mag
stat.stdev;phot.mag
double
w2_f850lp_n
Number of measurements using WFPC2 with f850lp filter
meta.number
int
w2_f953n
Mean magnitude using WFPC2 with f953n filter
mag
phot.mag;stat.mean
double
w2_f953n_sigma
Standard deviation around mean magnitude using WFPC2 with f953n filter
mag
stat.stdev;phot.mag
double
w2_f953n_n
Number of measurements using WFPC2 with f953n filter
meta.number
int
w2_f1042m
Mean magnitude using WFPC2 with f1042m filter
mag
phot.mag;stat.mean
double
w2_f1042m_sigma
Standard deviation around mean magnitude using WFPC2 with f1042m filter
mag
stat.stdev;phot.mag
double
w2_f1042m_n
Number of measurements using WFPC2 with f1042m filter
meta.number
int
w3_blank
Mean magnitude using WFC3 with blank filter
mag
phot.mag;stat.mean
double
w3_blank_sigma
Standard deviation around mean magnitude using WFC3 with blank filter
mag
stat.stdev;phot.mag
double
w3_blank_n
Number of measurements using WFC3 with blank filter
meta.number
int
w3_f098m
Mean magnitude using WFC3 with f098m filter
mag
phot.mag;stat.mean
double
w3_f098m_sigma
Standard deviation around mean magnitude using WFC3 with f098m filter
mag
stat.stdev;phot.mag
double
w3_f098m_n
Number of measurements using WFC3 with f098m filter
meta.number
int
w3_f105w
Mean magnitude using WFC3 with f105w filter
mag
phot.mag;stat.mean
double
w3_f105w_sigma
Standard deviation around mean magnitude using WFC3 with f105w filter
mag
stat.stdev;phot.mag
double
w3_f105w_n
Number of measurements using WFC3 with f105w filter
meta.number
int
w3_f110w
Mean magnitude using WFC3 with f110w filter
mag
phot.mag;stat.mean
double
w3_f110w_sigma
Standard deviation around mean magnitude using WFC3 with f110w filter
mag
stat.stdev;phot.mag
double
w3_f110w_n
Number of measurements using WFC3 with f110w filter
meta.number
int
w3_f125w
Mean magnitude using WFC3 with f125w filter
mag
phot.mag;stat.mean
double
w3_f125w_sigma
Standard deviation around mean magnitude using WFC3 with f125w filter
mag
stat.stdev;phot.mag
double
w3_f125w_n
Number of measurements using WFC3 with f125w filter
meta.number
int
w3_f126n
Mean magnitude using WFC3 with f126n filter
mag
phot.mag;stat.mean
double
w3_f126n_sigma
Standard deviation around mean magnitude using WFC3 with f126n filter
mag
stat.stdev;phot.mag
double
w3_f126n_n
Number of measurements using WFC3 with f126n filter
meta.number
int
w3_f127m
Mean magnitude using WFC3 with f127m filter
mag
phot.mag;stat.mean
double
w3_f127m_sigma
Standard deviation around mean magnitude using WFC3 with f127m filter
mag
stat.stdev;phot.mag
double
w3_f127m_n
Number of measurements using WFC3 with f127m filter
meta.number
int
w3_f128n
Mean magnitude using WFC3 with f128n filter
mag
phot.mag;stat.mean
double
w3_f128n_sigma
Standard deviation around mean magnitude using WFC3 with f128n filter
mag
stat.stdev;phot.mag
double
w3_f128n_n
Number of measurements using WFC3 with f128n filter
meta.number
int
w3_f130n
Mean magnitude using WFC3 with f130n filter
mag
phot.mag;stat.mean
double
w3_f130n_sigma
Standard deviation around mean magnitude using WFC3 with f130n filter
mag
stat.stdev;phot.mag
double
w3_f130n_n
Number of measurements using WFC3 with f130n filter
meta.number
int
w3_f132n
Mean magnitude using WFC3 with f132n filter
mag
phot.mag;stat.mean
double
w3_f132n_sigma
Standard deviation around mean magnitude using WFC3 with f132n filter
mag
stat.stdev;phot.mag
double
w3_f132n_n
Number of measurements using WFC3 with f132n filter
meta.number
int
w3_f139m
Mean magnitude using WFC3 with f139m filter
mag
phot.mag;stat.mean
double
w3_f139m_sigma
Standard deviation around mean magnitude using WFC3 with f139m filter
mag
stat.stdev;phot.mag
double
w3_f139m_n
Number of measurements using WFC3 with f139m filter
meta.number
int
w3_f140w
Mean magnitude using WFC3 with f140w filter
mag
phot.mag;stat.mean
double
w3_f140w_sigma
Standard deviation around mean magnitude using WFC3 with f140w filter
mag
stat.stdev;phot.mag
double
w3_f140w_n
Number of measurements using WFC3 with f140w filter
meta.number
int
w3_f153m
Mean magnitude using WFC3 with f153m filter
mag
phot.mag;stat.mean
double
w3_f153m_sigma
Standard deviation around mean magnitude using WFC3 with f153m filter
mag
stat.stdev;phot.mag
double
w3_f153m_n
Number of measurements using WFC3 with f153m filter
meta.number
int
w3_f160w
Mean magnitude using WFC3 with f160w filter
mag
phot.mag;stat.mean
double
w3_f160w_sigma
Standard deviation around mean magnitude using WFC3 with f160w filter
mag
stat.stdev;phot.mag
double
w3_f160w_n
Number of measurements using WFC3 with f160w filter
meta.number
int
w3_f164n
Mean magnitude using WFC3 with f164n filter
mag
phot.mag;stat.mean
double
w3_f164n_sigma
Standard deviation around mean magnitude using WFC3 with f164n filter
mag
stat.stdev;phot.mag
double
w3_f164n_n
Number of measurements using WFC3 with f164n filter
meta.number
int
w3_f167n
Mean magnitude using WFC3 with f167n filter
mag
phot.mag;stat.mean
double
w3_f167n_sigma
Standard deviation around mean magnitude using WFC3 with f167n filter
mag
stat.stdev;phot.mag
double
w3_f167n_n
Number of measurements using WFC3 with f167n filter
meta.number
int
w3_f200lp
Mean magnitude using WFC3 with f200lp filter
mag
phot.mag;stat.mean
double
w3_f200lp_sigma
Standard deviation around mean magnitude using WFC3 with f200lp filter
mag
stat.stdev;phot.mag
double
w3_f200lp_n
Number of measurements using WFC3 with f200lp filter
meta.number
int
w3_f218w
Mean magnitude using WFC3 with f218w filter
mag
phot.mag;stat.mean
double
w3_f218w_sigma
Standard deviation around mean magnitude using WFC3 with f218w filter
mag
stat.stdev;phot.mag
double
w3_f218w_n
Number of measurements using WFC3 with f218w filter
meta.number
int
w3_f225w
Mean magnitude using WFC3 with f225w filter
mag
phot.mag;stat.mean
double
w3_f225w_sigma
Standard deviation around mean magnitude using WFC3 with f225w filter
mag
stat.stdev;phot.mag
double
w3_f225w_n
Number of measurements using WFC3 with f225w filter
meta.number
int
w3_fq232n
Mean magnitude using WFC3 with fq232n filter
mag
phot.mag;stat.mean
double
w3_fq232n_sigma
Standard deviation around mean magnitude using WFC3 with fq232n filter
mag
stat.stdev;phot.mag
double
w3_fq232n_n
Number of measurements using WFC3 with fq232n filter
meta.number
int
w3_fq243n
Mean magnitude using WFC3 with fq243n filter
mag
phot.mag;stat.mean
double
w3_fq243n_sigma
Standard deviation around mean magnitude using WFC3 with fq243n filter
mag
stat.stdev;phot.mag
double
w3_fq243n_n
Number of measurements using WFC3 with fq243n filter
meta.number
int
w3_f275w
Mean magnitude using WFC3 with f275w filter
mag
phot.mag;stat.mean
double
w3_f275w_sigma
Standard deviation around mean magnitude using WFC3 with f275w filter
mag
stat.stdev;phot.mag
double
w3_f275w_n
Number of measurements using WFC3 with f275w filter
meta.number
int
w3_f280n
Mean magnitude using WFC3 with f280n filter
mag
phot.mag;stat.mean
double
w3_f280n_sigma
Standard deviation around mean magnitude using WFC3 with f280n filter
mag
stat.stdev;phot.mag
double
w3_f280n_n
Number of measurements using WFC3 with f280n filter
meta.number
int
w3_f300x
Mean magnitude using WFC3 with f300x filter
mag
phot.mag;stat.mean
double
w3_f300x_sigma
Standard deviation around mean magnitude using WFC3 with f300x filter
mag
stat.stdev;phot.mag
double
w3_f300x_n
Number of measurements using WFC3 with f300x filter
meta.number
int
w3_f336w
Mean magnitude using WFC3 with f336w filter
mag
phot.mag;stat.mean
double
w3_f336w_sigma
Standard deviation around mean magnitude using WFC3 with f336w filter
mag
stat.stdev;phot.mag
double
w3_f336w_n
Number of measurements using WFC3 with f336w filter
meta.number
int
w3_f343n
Mean magnitude using WFC3 with f343n filter
mag
phot.mag;stat.mean
double
w3_f343n_sigma
Standard deviation around mean magnitude using WFC3 with f343n filter
mag
stat.stdev;phot.mag
double
w3_f343n_n
Number of measurements using WFC3 with f343n filter
meta.number
int
w3_f350lp
Mean magnitude using WFC3 with f350lp filter
mag
phot.mag;stat.mean
double
w3_f350lp_sigma
Standard deviation around mean magnitude using WFC3 with f350lp filter
mag
stat.stdev;phot.mag
double
w3_f350lp_n
Number of measurements using WFC3 with f350lp filter
meta.number
int
w3_f373n
Mean magnitude using WFC3 with f373n filter
mag
phot.mag;stat.mean
double
w3_f373n_sigma
Standard deviation around mean magnitude using WFC3 with f373n filter
mag
stat.stdev;phot.mag
double
w3_f373n_n
Number of measurements using WFC3 with f373n filter
meta.number
int
w3_fq378n
Mean magnitude using WFC3 with fq378n filter
mag
phot.mag;stat.mean
double
w3_fq378n_sigma
Standard deviation around mean magnitude using WFC3 with fq378n filter
mag
stat.stdev;phot.mag
double
w3_fq378n_n
Number of measurements using WFC3 with fq378n filter
meta.number
int
w3_fq387n
Mean magnitude using WFC3 with fq387n filter
mag
phot.mag;stat.mean
double
w3_fq387n_sigma
Standard deviation around mean magnitude using WFC3 with fq387n filter
mag
stat.stdev;phot.mag
double
w3_fq387n_n
Number of measurements using WFC3 with fq387n filter
meta.number
int
w3_f390m
Mean magnitude using WFC3 with f390m filter
mag
phot.mag;stat.mean
double
w3_f390m_sigma
Standard deviation around mean magnitude using WFC3 with f390m filter
mag
stat.stdev;phot.mag
double
w3_f390m_n
Number of measurements using WFC3 with f390m filter
meta.number
int
w3_f390w
Mean magnitude using WFC3 with f390w filter
mag
phot.mag;stat.mean
double
w3_f390w_sigma
Standard deviation around mean magnitude using WFC3 with f390w filter
mag
stat.stdev;phot.mag
double
w3_f390w_n
Number of measurements using WFC3 with f390w filter
meta.number
int
w3_f395n
Mean magnitude using WFC3 with f395n filter
mag
phot.mag;stat.mean
double
w3_f395n_sigma
Standard deviation around mean magnitude using WFC3 with f395n filter
mag
stat.stdev;phot.mag
double
w3_f395n_n
Number of measurements using WFC3 with f395n filter
meta.number
int
w3_f410m
Mean magnitude using WFC3 with f410m filter
mag
phot.mag;stat.mean
double
w3_f410m_sigma
Standard deviation around mean magnitude using WFC3 with f410m filter
mag
stat.stdev;phot.mag
double
w3_f410m_n
Number of measurements using WFC3 with f410m filter
meta.number
int
w3_fq422m
Mean magnitude using WFC3 with fq422m filter
mag
phot.mag;stat.mean
double
w3_fq422m_sigma
Standard deviation around mean magnitude using WFC3 with fq422m filter
mag
stat.stdev;phot.mag
double
w3_fq422m_n
Number of measurements using WFC3 with fq422m filter
meta.number
int
w3_fq436n
Mean magnitude using WFC3 with fq436n filter
mag
phot.mag;stat.mean
double
w3_fq436n_sigma
Standard deviation around mean magnitude using WFC3 with fq436n filter
mag
stat.stdev;phot.mag
double
w3_fq436n_n
Number of measurements using WFC3 with fq436n filter
meta.number
int
w3_fq437n
Mean magnitude using WFC3 with fq437n filter
mag
phot.mag;stat.mean
double
w3_fq437n_sigma
Standard deviation around mean magnitude using WFC3 with fq437n filter
mag
stat.stdev;phot.mag
double
w3_fq437n_n
Number of measurements using WFC3 with fq437n filter
meta.number
int
w3_f438w
Mean magnitude using WFC3 with f438w filter
mag
phot.mag;stat.mean
double
w3_f438w_sigma
Standard deviation around mean magnitude using WFC3 with f438w filter
mag
stat.stdev;phot.mag
double
w3_f438w_n
Number of measurements using WFC3 with f438w filter
meta.number
int
w3_f467m
Mean magnitude using WFC3 with f467m filter
mag
phot.mag;stat.mean
double
w3_f467m_sigma
Standard deviation around mean magnitude using WFC3 with f467m filter
mag
stat.stdev;phot.mag
double
w3_f467m_n
Number of measurements using WFC3 with f467m filter
meta.number
int
w3_f469n
Mean magnitude using WFC3 with f469n filter
mag
phot.mag;stat.mean
double
w3_f469n_sigma
Standard deviation around mean magnitude using WFC3 with f469n filter
mag
stat.stdev;phot.mag
double
w3_f469n_n
Number of measurements using WFC3 with f469n filter
meta.number
int
w3_f475w
Mean magnitude using WFC3 with f475w filter
mag
phot.mag;stat.mean
double
w3_f475w_sigma
Standard deviation around mean magnitude using WFC3 with f475w filter
mag
stat.stdev;phot.mag
double
w3_f475w_n
Number of measurements using WFC3 with f475w filter
meta.number
int
w3_f475x
Mean magnitude using WFC3 with f475x filter
mag
phot.mag;stat.mean
double
w3_f475x_sigma
Standard deviation around mean magnitude using WFC3 with f475x filter
mag
stat.stdev;phot.mag
double
w3_f475x_n
Number of measurements using WFC3 with f475x filter
meta.number
int
w3_f487n
Mean magnitude using WFC3 with f487n filter
mag
phot.mag;stat.mean
double
w3_f487n_sigma
Standard deviation around mean magnitude using WFC3 with f487n filter
mag
stat.stdev;phot.mag
double
w3_f487n_n
Number of measurements using WFC3 with f487n filter
meta.number
int
w3_fq492n
Mean magnitude using WFC3 with fq492n filter
mag
phot.mag;stat.mean
double
w3_fq492n_sigma
Standard deviation around mean magnitude using WFC3 with fq492n filter
mag
stat.stdev;phot.mag
double
w3_fq492n_n
Number of measurements using WFC3 with fq492n filter
meta.number
int
w3_f502n
Mean magnitude using WFC3 with f502n filter
mag
phot.mag;stat.mean
double
w3_f502n_sigma
Standard deviation around mean magnitude using WFC3 with f502n filter
mag
stat.stdev;phot.mag
double
w3_f502n_n
Number of measurements using WFC3 with f502n filter
meta.number
int
w3_fq508n
Mean magnitude using WFC3 with fq508n filter
mag
phot.mag;stat.mean
double
w3_fq508n_sigma
Standard deviation around mean magnitude using WFC3 with fq508n filter
mag
stat.stdev;phot.mag
double
w3_fq508n_n
Number of measurements using WFC3 with fq508n filter
meta.number
int
w3_f547m
Mean magnitude using WFC3 with f547m filter
mag
phot.mag;stat.mean
double
w3_f547m_sigma
Standard deviation around mean magnitude using WFC3 with f547m filter
mag
stat.stdev;phot.mag
double
w3_f547m_n
Number of measurements using WFC3 with f547m filter
meta.number
int
w3_f555w
Mean magnitude using WFC3 with f555w filter
mag
phot.mag;stat.mean
double
w3_f555w_sigma
Standard deviation around mean magnitude using WFC3 with f555w filter
mag
stat.stdev;phot.mag
double
w3_f555w_n
Number of measurements using WFC3 with f555w filter
meta.number
int
w3_fq575n
Mean magnitude using WFC3 with fq575n filter
mag
phot.mag;stat.mean
double
w3_fq575n_sigma
Standard deviation around mean magnitude using WFC3 with fq575n filter
mag
stat.stdev;phot.mag
double
w3_fq575n_n
Number of measurements using WFC3 with fq575n filter
meta.number
int
w3_f600lp
Mean magnitude using WFC3 with f600lp filter
mag
phot.mag;stat.mean
double
w3_f600lp_sigma
Standard deviation around mean magnitude using WFC3 with f600lp filter
mag
stat.stdev;phot.mag
double
w3_f600lp_n
Number of measurements using WFC3 with f600lp filter
meta.number
int
w3_f606w
Mean magnitude using WFC3 with f606w filter
mag
phot.mag;stat.mean
double
w3_f606w_sigma
Standard deviation around mean magnitude using WFC3 with f606w filter
mag
stat.stdev;phot.mag
double
w3_f606w_n
Number of measurements using WFC3 with f606w filter
meta.number
int
w3_fq619n
Mean magnitude using WFC3 with fq619n filter
mag
phot.mag;stat.mean
double
w3_fq619n_sigma
Standard deviation around mean magnitude using WFC3 with fq619n filter
mag
stat.stdev;phot.mag
double
w3_fq619n_n
Number of measurements using WFC3 with fq619n filter
meta.number
int
w3_f621m
Mean magnitude using WFC3 with f621m filter
mag
phot.mag;stat.mean
double
w3_f621m_sigma
Standard deviation around mean magnitude using WFC3 with f621m filter
mag
stat.stdev;phot.mag
double
w3_f621m_n
Number of measurements using WFC3 with f621m filter
meta.number
int
w3_f625w
Mean magnitude using WFC3 with f625w filter
mag
phot.mag;stat.mean
double
w3_f625w_sigma
Standard deviation around mean magnitude using WFC3 with f625w filter
mag
stat.stdev;phot.mag
double
w3_f625w_n
Number of measurements using WFC3 with f625w filter
meta.number
int
w3_f631n
Mean magnitude using WFC3 with f631n filter
mag
phot.mag;stat.mean
double
w3_f631n_sigma
Standard deviation around mean magnitude using WFC3 with f631n filter
mag
stat.stdev;phot.mag
double
w3_f631n_n
Number of measurements using WFC3 with f631n filter
meta.number
int
w3_fq634n
Mean magnitude using WFC3 with fq634n filter
mag
phot.mag;stat.mean
double
w3_fq634n_sigma
Standard deviation around mean magnitude using WFC3 with fq634n filter
mag
stat.stdev;phot.mag
double
w3_fq634n_n
Number of measurements using WFC3 with fq634n filter
meta.number
int
w3_f645n
Mean magnitude using WFC3 with f645n filter
mag
phot.mag;stat.mean
double
w3_f645n_sigma
Standard deviation around mean magnitude using WFC3 with f645n filter
mag
stat.stdev;phot.mag
double
w3_f645n_n
Number of measurements using WFC3 with f645n filter
meta.number
int
w3_f656n
Mean magnitude using WFC3 with f656n filter
mag
phot.mag;stat.mean
double
w3_f656n_sigma
Standard deviation around mean magnitude using WFC3 with f656n filter
mag
stat.stdev;phot.mag
double
w3_f656n_n
Number of measurements using WFC3 with f656n filter
meta.number
int
w3_f657n
Mean magnitude using WFC3 with f657n filter
mag
phot.mag;stat.mean
double
w3_f657n_sigma
Standard deviation around mean magnitude using WFC3 with f657n filter
mag
stat.stdev;phot.mag
double
w3_f657n_n
Number of measurements using WFC3 with f657n filter
meta.number
int
w3_f658n
Mean magnitude using WFC3 with f658n filter
mag
phot.mag;stat.mean
double
w3_f658n_sigma
Standard deviation around mean magnitude using WFC3 with f658n filter
mag
stat.stdev;phot.mag
double
w3_f658n_n
Number of measurements using WFC3 with f658n filter
meta.number
int
w3_f665n
Mean magnitude using WFC3 with f665n filter
mag
phot.mag;stat.mean
double
w3_f665n_sigma
Standard deviation around mean magnitude using WFC3 with f665n filter
mag
stat.stdev;phot.mag
double
w3_f665n_n
Number of measurements using WFC3 with f665n filter
meta.number
int
w3_f665n_f6
Mean magnitude using WFC3 with f665n_f6 filter
mag
phot.mag;stat.mean
double
w3_f665n_f6_sigma
Standard deviation around mean magnitude using WFC3 with f665n_f6 filter
mag
stat.stdev;phot.mag
double
w3_f665n_f6_n
Number of measurements using WFC3 with f665n_f6 filter
meta.number
int
w3_fq672n
Mean magnitude using WFC3 with fq672n filter
mag
phot.mag;stat.mean
double
w3_fq672n_sigma
Standard deviation around mean magnitude using WFC3 with fq672n filter
mag
stat.stdev;phot.mag
double
w3_fq672n_n
Number of measurements using WFC3 with fq672n filter
meta.number
int
w3_f673n
Mean magnitude using WFC3 with f673n filter
mag
phot.mag;stat.mean
double
w3_f673n_sigma
Standard deviation around mean magnitude using WFC3 with f673n filter
mag
stat.stdev;phot.mag
double
w3_f673n_n
Number of measurements using WFC3 with f673n filter
meta.number
int
w3_fq674n
Mean magnitude using WFC3 with fq674n filter
mag
phot.mag;stat.mean
double
w3_fq674n_sigma
Standard deviation around mean magnitude using WFC3 with fq674n filter
mag
stat.stdev;phot.mag
double
w3_fq674n_n
Number of measurements using WFC3 with fq674n filter
meta.number
int
w3_f680n
Mean magnitude using WFC3 with f680n filter
mag
phot.mag;stat.mean
double
w3_f680n_sigma
Standard deviation around mean magnitude using WFC3 with f680n filter
mag
stat.stdev;phot.mag
double
w3_f680n_n
Number of measurements using WFC3 with f680n filter
meta.number
int
w3_f689m
Mean magnitude using WFC3 with f689m filter
mag
phot.mag;stat.mean
double
w3_f689m_sigma
Standard deviation around mean magnitude using WFC3 with f689m filter
mag
stat.stdev;phot.mag
double
w3_f689m_n
Number of measurements using WFC3 with f689m filter
meta.number
int
w3_fq727n
Mean magnitude using WFC3 with fq727n filter
mag
phot.mag;stat.mean
double
w3_fq727n_sigma
Standard deviation around mean magnitude using WFC3 with fq727n filter
mag
stat.stdev;phot.mag
double
w3_fq727n_n
Number of measurements using WFC3 with fq727n filter
meta.number
int
w3_fq750n
Mean magnitude using WFC3 with fq750n filter
mag
phot.mag;stat.mean
double
w3_fq750n_sigma
Standard deviation around mean magnitude using WFC3 with fq750n filter
mag
stat.stdev;phot.mag
double
w3_fq750n_n
Number of measurements using WFC3 with fq750n filter
meta.number
int
w3_f763m
Mean magnitude using WFC3 with f763m filter
mag
phot.mag;stat.mean
double
w3_f763m_sigma
Standard deviation around mean magnitude using WFC3 with f763m filter
mag
stat.stdev;phot.mag
double
w3_f763m_n
Number of measurements using WFC3 with f763m filter
meta.number
int
w3_f775w
Mean magnitude using WFC3 with f775w filter
mag
phot.mag;stat.mean
double
w3_f775w_sigma
Standard deviation around mean magnitude using WFC3 with f775w filter
mag
stat.stdev;phot.mag
double
w3_f775w_n
Number of measurements using WFC3 with f775w filter
meta.number
int
w3_f814w
Mean magnitude using WFC3 with f814w filter
mag
phot.mag;stat.mean
double
w3_f814w_sigma
Standard deviation around mean magnitude using WFC3 with f814w filter
mag
stat.stdev;phot.mag
double
w3_f814w_n
Number of measurements using WFC3 with f814w filter
meta.number
int
w3_f845m
Mean magnitude using WFC3 with f845m filter
mag
phot.mag;stat.mean
double
w3_f845m_sigma
Standard deviation around mean magnitude using WFC3 with f845m filter
mag
stat.stdev;phot.mag
double
w3_f845m_n
Number of measurements using WFC3 with f845m filter
meta.number
int
w3_f850lp
Mean magnitude using WFC3 with f850lp filter
mag
phot.mag;stat.mean
double
w3_f850lp_sigma
Standard deviation around mean magnitude using WFC3 with f850lp filter
mag
stat.stdev;phot.mag
double
w3_f850lp_n
Number of measurements using WFC3 with f850lp filter
meta.number
int
w3_fq889n
Mean magnitude using WFC3 with fq889n filter
mag
phot.mag;stat.mean
double
w3_fq889n_sigma
Standard deviation around mean magnitude using WFC3 with fq889n filter
mag
stat.stdev;phot.mag
double
w3_fq889n_n
Number of measurements using WFC3 with fq889n filter
meta.number
int
w3_fq906n
Mean magnitude using WFC3 with fq906n filter
mag
phot.mag;stat.mean
double
w3_fq906n_sigma
Standard deviation around mean magnitude using WFC3 with fq906n filter
mag
stat.stdev;phot.mag
double
w3_fq906n_n
Number of measurements using WFC3 with fq906n filter
meta.number
int
w3_fq924n
Mean magnitude using WFC3 with fq924n filter
mag
phot.mag;stat.mean
double
w3_fq924n_sigma
Standard deviation around mean magnitude using WFC3 with fq924n filter
mag
stat.stdev;phot.mag
double
w3_fq924n_n
Number of measurements using WFC3 with fq924n filter
meta.number
int
w3_fq937n
Mean magnitude using WFC3 with fq937n filter
mag
phot.mag;stat.mean
double
w3_fq937n_sigma
Standard deviation around mean magnitude using WFC3 with fq937n filter
mag
stat.stdev;phot.mag
double
w3_fq937n_n
Number of measurements using WFC3 with fq937n filter
meta.number
int
w3_f953n
Mean magnitude using WFC3 with f953n filter
mag
phot.mag;stat.mean
double
w3_f953n_sigma
Standard deviation around mean magnitude using WFC3 with f953n filter
mag
stat.stdev;phot.mag
double
w3_f953n_n
Number of measurements using WFC3 with f953n filter
meta.number
int
w3_g102
Mean magnitude using WFC3 with g102 filter
mag
phot.mag;stat.mean
double
w3_g102_sigma
Standard deviation around mean magnitude using WFC3 with g102 filter
mag
stat.stdev;phot.mag
double
w3_g102_n
Number of measurements using WFC3 with g102 filter
meta.number
int
w3_g141
Mean magnitude using WFC3 with g141 filter
mag
phot.mag;stat.mean
double
w3_g141_sigma
Standard deviation around mean magnitude using WFC3 with g141 filter
mag
stat.stdev;phot.mag
double
w3_g141_n
Number of measurements using WFC3 with g141 filter
meta.number
int
w3_g280
Mean magnitude using WFC3 with g280 filter
mag
phot.mag;stat.mean
double
w3_g280_sigma
Standard deviation around mean magnitude using WFC3 with g280 filter
mag
stat.stdev;phot.mag
double
w3_g280_n
Number of measurements using WFC3 with g280 filter
meta.number
int
public.igsl_source
This is Table A.1 in Smart+, 2014, A&A, 570, A87 (IGSL parameters). The Initial Gaia Source List (IGSL) was commissioned by DPAC to fulfil the following broad requirements: all-sky positions, proper motions, and magnitudes for objects to a limit of Gaia magnitude G = 21 mag where possible, e.g., where there are large (>10,000 square degrees) catalogues that reach that limit. The proper motions and magnitudes are provided on a best effort basis, nominally with precisions of 10 mas/yr and 0.3 magnitudes, respectively, but obviously limited by the currently available large catalogues. The DPAC Quasar and Ecliptic Pole catalogues are included with no selection on magnitudes. Hipparcos objects are also included with no selection on magnitudes. The IGSL has been used as the starting point for the Initial Data Treatment (IDT) cross-matching routines in the DPAC processing of Gaia data. Reference paper: https://ui.adsabs.harvard.edu/abs/2014A%26A...570A..87S/abstract (DOI: 10.1051/0004-6361/201424241)
solution_id
The data in the MDB will be described by means of a "Solution identifier" parameter. This will be a numeric field attached to each table row that can be used to unequivocally identify the version of all the subsystems that where used in the generation of the data as well as the input data used.Each DPC generating the data will have the freedom to choose the Solution identifier number, but they must ensure that given the Solution identifier they can provide detailed information about the "conditions" used to generate the data: versions of the software, version of the data used,...
meta.version
long
source_id
Source identifier as defined in GAIA-CD-TN-ARI-BAS-020-01
meta.id;meta.main
long
indexed
primary
ra
The right ascension at epoch and equinox J2000
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
The declination at epoch and equinox J2000
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_error
The mean error in the right ascension at mean epoch
mas
stat.error;pos.eq.ra
float
dec_error
The mean error in the declination at mean epoch
mas
stat.error;pos.eq.dec
float
ra_epoch
The mean epoch of the right ascension Julian Year in TCB. Note if there are proper motions the actual position will be at J2000 to have a consistent catalog and this is provided if the user wishes to add new information or find the best position.
yr
time.epoch
float
dec_epoch
The mean epoch of the declination Julian Year in TCB. Note if there are proper motions the actual position will be at J2000 to have a consistent catalog and this is provided if the user wishes to add new information or find the best position.
yr
time.epoch
float
source_position
The code that appears in the IgslReferences that describes where the positional information comes from.
meta.code
short
pm_ra
Proper motion in right ascension multiplied by cos(declination).
mas.yr**-1
pos.pm;pos.eq.ra
float
pm_dec
Proper motion in declination
mas.yr**-1
pos.pm;pos.eq.dec
float
pm_ra_error
Mean error of proper motion in RA * cos(declination)
mas.yr**-1
stat.error;pos.pm;pos.eq.ra
float
pm_dec_error
Mean error of proper motion in declination
mas.yr**-1
stat.error;pos.pm;pos.eq.dec
float
source_mu
The code that appears in the IgslReferences that describes where this
data point comes from.
meta.code
short
galactic_lon
Galactic Longditude calculated in float to use for indexing
deg
pos.galactic.lon
float
galactic_lat
Galactic Latitude calculated in float to use for indexing
deg
pos.galactic.lat
float
ecliptic_lon
Ecliptic Longditude calculated in float to use for indexing
deg
pos.ecliptic.lon
float
ecliptic_lat
Ecliptic Latitude calculated in float to use for indexing
deg
pos.ecliptic.lat
float
mag_bj
The $B_J$ magnitude from the GSC23 when present or estimated from transformations when not present in the GSC23 or too bright to be reliable from GSC23. Very similar to B Johnson.
mag
phot.mag;em.opt.B
float
mag_bj_error
Error in the $B_J$ magnitude
mag
stat.error;phot.mag;em.opt.B
float
source_mag_bj
Code in IgslReferences that describes where this magnitude comes from.
meta.code
short
mag_rf
The $R_F$ magnitude from the GSC23 when present or estimated from transformations when not present in the GSC23 or too bright to be reliable from GSC23. Very similar to R cousins.
mag
phot.mag;em.opt.R
float
mag_rf_error
Error in $R_F$
mag
stat.error;phot.mag;em.opt.R
float
source_mag_rf
Code in IgslReferences that describes where this magnitude comes from.
meta.code
short
mag_g
Estimated $G$ magnitude based on transformations in livelink document RLS 001
mag
phot.mag;em.opt
float
mag_g_error
Estimated of error on G magnitude
mag
stat.error;phot.mag;em.opt
float
source_mag_g
Code in IgslReferences that describes which transformation used.
meta.code
short
mag_grvs
Estimated $G_rvs$ magnitude based on transformations in livelink document RLS 004
mag
phot.mag;em.opt
float
mag_grvs_error
Estimated of error on $G_rvs$ magnitude
mag
stat.error;phot.mag;em.opt
float
source_mag_grvs
Code in SourceCatalogIDs that describes where base magnitudes came from
meta.code
short
classification
Classification, simply a 0=star and 1=nonstar taken from different sources as given in the souceClass field
meta.code.class
boolean
source_classification
Code in IgslReferences that describes where this datapoint comes from.
meta.code
short
toggle_asc
A boolean that indicates if the objects is to be used for the Atittude Star Catalog.
meta.code
boolean
aux_gsc23
A boolean that indicates if the objects is present in the GSC2.3 cat, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the GSC2.3 id is in the SourceCatalogIDs as idGSC23.
meta.id;meta.dataset
boolean
aux_sdss
A boolean that indicates if the objects is present in the SDSS cat, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the ID is in the the SourceCatalogIDs as idSDSS
meta.id;meta.dataset
boolean
aux_ucac
A boolean that indicates if the objects is present in the UCAC cat, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the ID is in the the iSourceCatalogIDs as idUCAC.
meta.id;meta.dataset
boolean
aux_lqrf
A boolean that indicates if the objects is present in the CU3 QSO Aux cat GIQC, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the ID is in the the SourceCatalogIDs as idLQRF.
meta.id;meta.dataset
boolean
aux_tycho
A boolean that indicates if the objects is present in theTYCHO2 cat, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the ID is in the the SourceCatalogIDs as idTYCHO
meta.id;meta.dataset
boolean
aux_hip
A boolean that indicates if the objects is present in the Hipparcos catalog, 0=no, 1=yes=true.
meta.id;meta.dataset
boolean
aux_ppmxl
A boolean that indicates if the objects is present in the PPMXL cat, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the ID is in the the SourceCatalogIDs as idPPMXL
meta.id;meta.dataset
boolean
aux_ogle
A boolean that indicates if the objects is present in the OGLE cat, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the ID is in the the SourceCatalogIDs as idOGLE
meta.id;meta.dataset
boolean
aux_tmass
A boolean that indicates if the objects is present in the Two-MASS cat, 0=no, 1=yes.
Version and catalog details in the SourceCatalogReferences table.
If yes the ID is in the the SourceCatalogIDs as idTMASS.
meta.id;meta.dataset
boolean
aux_epc
A boolean that indicates if the objects is present in the EPC, false=no, true=yes.
Version and catalog details in the SourceCatalogReference table.
If yes, the number in the SourceCatalogIDs table is the number in EPC.
meta.id;meta.dataset
boolean
public.igsl_source_catalog_ids
This is Table A.2 in Smart+, 2014, A&A, 570, A87 (IGSL cross catalogue identifiers). This table contains the cross-identifications for Initial Gaia Source List (IGSL) sources from the original catalogues from which they were derived. The IGSL was commissioned by DPAC to fulfil the following broad requirements: all-sky positions, proper motions, and magnitudes for objects to a limit of Gaia magnitude G = 21 mag where possible, e.g., where there are large (>10,000 square degrees) catalogues that reach that limit. The proper motions and magnitudes are provided on a best effort basis, nominally with precisions of 10 mas/yr and 0.3 magnitudes, respectively, but obviously limited by the currently available large catalogues. The DPAC Quasar and Ecliptic Pole catalogues are included with no selection on magnitudes. Hipparcos objects are also included with no selection on magnitudes. The IGSL has been used as the starting point for the Initial Data Treatment (IDT) cross-matching routines in the DPAC processing of Gaia data. Reference paper: https://ui.adsabs.harvard.edu/abs/2014A%26A...570A..87S/abstract (DOI: 10.1051/0004-6361/201424241)
id_epc
The IDs in the Gaia Ecliptic Pole Catalogue Version (GEPC 3.0) given as IAU standards:
JHHMMSS.SS+DDMMSS.S.
meta.id;meta.dataset
char
id_gsc23
These are the IDs as published in the various input catalogs converted
to a big integer. For the GSC23 we have had to alter slightly the name,specifically:
GSC2.3 objects have original names that are combination of region names and running number,
e.g. S00000001 is the first object in the region S0000000, we have converted
the region names to the ``official' numerical values in the htm level 6
structure, hence the smallest is S0000000 = 32768 and N3333333 = 65535 is the
highest.
meta.id;meta.dataset
long
id_hip
If the source is a Hipparcos star this field contains the Hipparcos number.
meta.id;meta.dataset
int
id_lqrf
These are the running number in the Gaia Initial Quasar Catalog - version 4 - updated September 2011 - GIQC\_4.
meta.id;meta.dataset
int
id_ogle
The OGLE ID is given by a combination of \\
A region of sky identifier (RI) equal to 10, 11, 12, 13, 14 corresponding
to map names blg, car, cen, lmc, mus.\\
The file running number ( NNN.N) \\
The running number in the file (RN) \\
The ID is defined as: long(string(RI)+string(NNN.N * 10000))+RN.
meta.id;meta.dataset
long
id_ppmxl
These are the IDs as published in the PPMXL, the ipix Identifier (Q3C ipix of the USNO-B 1.0 object) converted to a big integer.
meta.id;meta.dataset
long
id_sdss
These are the IDs as published in the SDSS DR9 in big integer format.
meta.id;meta.dataset
long
id_tmass
The Two Mass provided the names in a IAU standard fashion of
2MASS JHHMMSS.S +DDMMSS.S these were codeified as +HHMMSSSDDMMSSS.
meta.id;meta.dataset
long
id_tycho
These are the IDs as published in Tycho2. In TYCHO-2 objects were identified by
3 numbers (TYC1,TYC2 and TYC3) and we have combined these into one complete
number given by (TYC1*1000000.0d0)+(TYC2*10.0d0)+(TYC3*1.0d0)
meta.id;meta.dataset
long
id_ucac
These are the IDs as published in the UCAC4 specfically a running star ID number.
meta.id;meta.dataset
int
solution_id
The data in the MDB will be described by means of a "Solution identifier" parameter. This will be a numeric field attached to each table row that can be used to unequivocally identify the version of all the subsystems that where used in the generation of the data as well as the input data used.Each DPC generating the data will have the freedom to choose the Solution identifier number, but they must ensure that given the Solution identifier they can provide detailed information about the "conditions" used to generate the data: versions of the software, version of the data used,...
meta.version
long
indexed
source_id
meta.id;meta.main
long
indexed
primary
public.tycho2
The Tycho-2 Catalogue is an astrometric reference catalogue containing positions and proper motions as well as two-colour photometric data for the 2.5 million brightest stars in the sky. The Tycho-2 positions and magnitudes are based on precisely the same observations as the original Tycho Catalogue (hereafter Tycho-1; VizieR catalogue: I/239) collected by the star mapper of the ESA Hipparcos satellite, but Tycho-2 is much bigger and slightly more precise, owing to a more advanced reduction technique. Components of double stars with separations down to 0.8 arcsec are included. Proper motions precise to about 2.5 mas/yr are given as derived from a comparison with the Astrographic Catalogue and 143 other ground-based astrometric catalogues, all reduced to the Hipparcos celestial coordinate system. Tycho-2 supersedes in most applications Tycho-1, as well as the ACT (VizieR catalogue: I/246) and TRC (VizieR catatlogue: I/250) catalogues based on Tycho-1. Supplement-1 lists stars from the Hipparcos and Tycho-1 Catalogues which are not in Tycho-2. Supplement-2 lists 1146 Tycho-1 stars which are probably either false or heavily disturbed. For more information, please consult the Tycho-2 home page: http://www.astro.ku.dk/~erik/Tycho-2 Reference paper: https://ui.adsabs.harvard.edu/abs/2000A%26A...355L..27H/abstract
id
Tycho 2 identifier. The TYC identifier is constructed from the GSC region number
(TYC1), the running number within the region (TYC2) and a component
identifier (TYC3) which is normally 1. Some non-GSC running numbers
were constructed for the first Tycho Catalogue and for Tycho-2.
The recommended star designation contains a hyphen between the
TYC numbers, e.g. TYC 1-13-1.
char
indexed
primary
hip
[1,120404]? Hipparcos number
int
tyc1
[1,9537]+= TYC1 from TYC or GSC
The TYC identifier is constructed from the GSC region number
(TYC1), the running number within the region (TYC2) and a component
identifier (TYC3) which is normally 1. Some non-GSC running numbers
were constructed for the first Tycho Catalogue and for Tycho-2.
The recommended star designation contains a hyphen between the
TYC numbers, e.g. TYC 1-13-1.
char
tyc2
[1,12121] TYC2 from TYC or GSC
The TYC identifier is constructed from the GSC region number
(TYC1), the running number within the region (TYC2) and a component
identifier (TYC3) which is normally 1. Some non-GSC running numbers
were constructed for the first Tycho Catalogue and for Tycho-2.
The recommended star designation contains a hyphen between the
TYC numbers, e.g. TYC 1-13-1.
char
tyc3
[1,3] TYC3 from TYC
The TYC identifier is constructed from the GSC region number
(TYC1), the running number within the region (TYC2) and a component
identifier (TYC3) which is normally 1. Some non-GSC running numbers
were constructed for the first Tycho Catalogue and for Tycho-2.
The recommended star designation contains a hyphen between the
TYC numbers, e.g. TYC 1-13-1.
char
id_tycho
(TYC1,TYC2 and TYC3) are combined into one complete number given by (TYC1*1000000.0d0)+(TYC2*10.0d0)+(TYC3*1.0d0)
long
tyc
[T] Tycho-1 star
' ' = no Tycho-1 star was found within 0.8 arcsec (quality 1-8)
or 2.4 arcsec (quality 9).
'T' = this is a Tycho-1 star. The Tycho-1 identifier is given in the
beginning of the record. For Tycho-1 stars, resolved in
Tycho-2 as a close pair, both components are flagged as
a Tycho-1 star and the Tycho-1 TYC3 is assigned to the
brightest (VT) component.
The HIP-only stars given in Tycho-1 are not flagged as Tycho-1 stars.
char
ra
Observed Tycho-2 Right Ascension, ICRS
deg
pos.eq.ra;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C1
double
indexed
primary
dec
Observed Tycho-2 Declination, ICRS
deg
pos.eq.dec;meta.main
Char.SpatialAxis.Coverage.Location.Coord.Position2D.Value2.C2
double
indexed
primary
ra_deg
Observed Tycho-2 Right Ascension, ICRS
deg
double
de_deg
Observed Tycho-2 Declination, ICRS
deg
double
ra_mdeg
[]? Mean Right Asc, ICRS, epoch=J2000
The mean position is a weighted mean for the catalogues contributing
to the proper motion determination. This mean has then been brought to
epoch 2000.0 by the computed proper motion. See Note(2) above for
details. Tycho-2 is one of the several catalogues used to determine
the mean position and proper motion. The observed Tycho-2 position is
given in the fields RAdeg and DEdeg.
deg
double
de_mdeg
[]? Mean Decl, ICRS, at epoch=J2000
The mean position is a weighted mean for the catalogues contributing
to the proper motion determination. This mean has then been brought to
epoch 2000.0 by the computed proper motion. See Note(2) above for
details. Tycho-2 is one of the several catalogues used to determine
the mean position and proper motion. The observed Tycho-2 position is
given in the fields RAdeg and DEdeg.
deg
double
pm_ra
? Proper motion in RA*cos(dec)
Some Hipparcos stars (having a positive number in the HIP column)
have no proper motions; these are virtually all in multiple systems.
mas.yr**-1
float
primary
pm_de
? Proper motion in Dec
Some Hipparcos stars (having a positive number in the HIP column)
have no proper motions; these are virtually all in multiple systems.
mas.yr**-1
float
primary
ep_ra1990
[0.81,2.13] epoch-1990 of RAdeg
yr
float
ep_de1990
[0.72,2.36] epoch-1990 of DEdeg
yr
float
ep_ra_m
[1915.95,1992.53]? mean epoch of RA. The mean epochs are given in Julian years.
yr
float
ep_de_m
[1911.94,1992.01]? mean epoch of Dec. The mean epochs are given in Julian years.
yr
float
num
[2,36]? Number of positions used
short
e_ra_deg
s.e.RA*cos(dec), of observed Tycho-2 RA. The errors are based on error models.
mas
double
e_de_deg
s.e. of observed Tycho-2 Dec. The errors are based on error models.
mas
double
corr
[-1,1] correlation (RAdeg,DEdeg)
double
e_ra_mdeg
[3,183]? s.e. RA*cos(dec),at mean epoch. The errors are based on error models.
mas
double
e_de_mdeg
[1,184]? s.e. of Dec at mean epoch. The errors are based on error models.
mas
double
e_pm_ra
[0.2,11.5]? s.e. prop mot in RA*cos(dec).The errors are based on error models.
mas.yr**-1
float
e_pm_de
[0.2,10.3]? s.e. of proper motion in Dec. The errors are based on error models.
mas.yr**-1
float
q_ra_mdeg
[0.0,9.9]? Goodness of fit for mean RA
This goodness of fit is the ratio of the scatter-based and the
model-based error. It is only defined when Num > 2. Values
exceeding 9.9 are truncated to 9.9.
float
q_de_mdeg
[0.0,9.9]? Goodness of fit for mean Dec
This goodness of fit is the ratio of the scatter-based and the
model-based error. It is only defined when Num > 2. Values
exceeding 9.9 are truncated to 9.9.
float
q_pm_de
[0.0,9.9]? Goodness of fit for pmDE
This goodness of fit is the ratio of the scatter-based and the
model-based error. It is only defined when Num > 2. Values
exceeding 9.9 are truncated to 9.9.
float
q_pm_ra
[0.0,9.9]? Goodness of fit for pmRA
This goodness of fit is the ratio of the scatter-based and the
model-based error. It is only defined when Num > 2. Values
exceeding 9.9 are truncated to 9.9.
float
pflag
[ PX] mean position flag
' ' = normal mean position and proper motion.
'P' = the mean position, proper motion, etc., refer to the
photocentre of two Tycho-2 entries, where the BT magnitudes
were used in weighting the positions.
'X' = no mean position, no proper motion.
char
posflg
[ DP] type of Tycho-2 solution
' ' = normal treatment, close stars were subtracted when possible.
'D' = double star treatment. Two stars were found. The companion is
normally included as a separate Tycho-2 entry, but may have
been rejected.
'P' = photocentre treatment, close stars were not subtracted. This
special treatment was applied to known or suspected doubles
which were not successfully (or reliably) resolved in the
Tycho-2 double star processing.
char
ccdm
CCDM component identifier for HIP stars
The CCDM component identifiers for double or multiple Hipparcos stars
contributing to this Tycho-2 entry. For photocentre solutions, all
components within 0.8 arcsec contribute. For double star solutions any
unresolved component within 0.8 arcsec contributes. For single star
solutions, the predicted signal from close stars were normally
subtracted in the analysis of the photon counts and such stars
therefore do not contribute to the solution. The components are given
in lexical order.
char
prox
[3,999] proximity indicator
Distance in units of 100 mas to the nearest entry in the Tycho-2
main catalogue or supplement. The distance is computed for the
epoch 1991.25. A value of 999 (i.e. 99.9 arcsec) is given if the
distance exceeds 99.9 arcsec.
mas.100
short
bt_mag
[2.183,16.581]? Tycho-2 BT magnitude
Blank when no magnitude is available. Either BTmag or VTmag is
always given. Approximate Johnson photometry may be obtained as:
V = VT -0.090*(BT-VT)
B-V = 0.850*(BT-VT)
Consult Sect 1.3 of Vol 1 of "The Hipparcos and Tycho Catalogues",
ESA SP-1200, 1997, for details.
mag
float
primary
vt_mag
[1.905,15.193]? Tycho-2 VT magnitude
Blank when no magnitude is available. Either BTmag or VTmag is
always given. Approximate Johnson photometry may be obtained as:
V = VT -0.090*(BT-VT)
B-V = 0.850*(BT-VT)
Consult Sect 1.3 of Vol 1 of "The Hipparcos and Tycho Catalogues",
ESA SP-1200, 1997, for details.
mag
float
primary
e_bt_mag
[0.014,1.977]? s.e. of BT
Blank when no magnitude is available. Either BTmag or VTmag is
always given. Approximate Johnson photometry may be obtained as:
V = VT -0.090*(BT-VT)
B-V = 0.850*(BT-VT)
Consult Sect 1.3 of Vol 1 of "The Hipparcos and Tycho Catalogues",
ESA SP-1200, 1997, for details.
mag
float
e_vt_mag
[0.009,1.468]? s.e. of VT
Blank when no magnitude is available. Either BTmag or VTmag is
always given. Approximate Johnson photometry may be obtained as:
V = VT -0.090*(BT-VT)
B-V = 0.850*(BT-VT)
Consult Sect 1.3 of Vol 1 of "The Hipparcos and Tycho Catalogues",
ESA SP-1200, 1997, for details.
mag
float
hip_old
char
public.dual
The DUAL table is a special one-row, one-column table present in several database <a href="https://en.wikipedia.org/wiki/DUAL_table">installations</a>. It is useful to compute queries that do not require any tables (like mathematical operations) and other specific queries, like the build-in positional cross-match offered in this Archive (see the Query examples available in <a href="https://www.cosmos.esa.int/web/gaia-users/archive/writing-queries">here</a>).
dummy
int
tap_config
tap_config.coord_sys
epoch
char
equinox
char
id
char
system
char
xml_output
char
tap_config.properties
"key"
char
"value"
char
tap_schema
tap_schema.columns
TAP SCHEMA columns
arraysize
char
column_index
int
column_name
char
datatype
char
db_column_name
char
description
char
indexed
int
principal
int
schema_name
char
"size"
int
std
int
table_name
char
ucd
char
unit
char
utype
char
xtype
char
tap_schema.tables
table_name
table_name
TAP schema table name
tap_schema.key_columns
TAP SCHEMA key columns
from_column
char
key_id
char
target_column
char
tap_schema.keys
key_id
key_id
TAP schema key columns key id
tap_schema.keys
TAP SCHEMA keys
description
char
from_table
char
key_id
char
target_table
char
utype
char
tap_schema.tables
from_table
table_name
TAP schema keys from table
tap_schema.tables
target_table
table_name
TAP schema keys target table
tap_schema.schemas
TAP SCHEMA schemas
db_schema_name
char
description
char
schema_index
int
schema_name
char
utype
char
tap_schema.tables
TAP SCHEMA tables
db_table_name
char
description
char
schema_name
char
"size"
long
size_bytes
long
table_index
int
table_name
char
table_type
char
utype
char
tap_schema.schemas
schema_name
schema_name
TAP schema schema name
tap_upload