This table is available for ADQL queries and through the TAP endpoint.
Resource Description:
For a list of all services and tables belonging to this table's resource, see Information on resource 'ROME/REA Timeseries Photometry Data Release 1'
Resource Reference URL: Resource info
This table has an associated publication. If you use data from it, it may be appropriate to reference 2024PASP..136f4501S (ADS BibTeX entry for the publication) either in addition to or instead of the service reference.
To cite the table as such, we suggest the following BibTeX entry:
@MISC{vo:rome_images,
year=2024,
title={{ROME}/{REA} Timeseries Photometry Data Release 1},
author={Street, R.A. and Bachelet, E. and Tsapras, Y. and Hundertmark, M.P.G. and Bozza, V. and Bramich, D.M. and Cassan, A. and Dominik, M. and Figuera Jaimes, R. and Horne, K. and Mao, S. and Saha, A. and Wambsganss, J. and Zang, W.},
url={http://dc.g-vo.org/tableinfo/rome.images},
howpublished={{VO} resource provided by the {GAVO} Data Center}
}
As a short example for how to explore this data using VO protocols, try this:
Open TOPCAT and it's VO/TAP window. Select "GAVO DC TAP" from the server selection and hit "use service".
We would like to find "unusual" time series; perhaps ones with a large range. To get a feeling for what "unusual" might mean, just fetch a few metadata rows like with a TAP query like this:
SELECT TOP 7000 * FROM rome.time_series WHERE np_i>100 AND np_g>100
Do a plane plot of that data, and ask TOPCAT to plot mag_i_max-mag_i_min against mag_g_max-mag_g_min.
When you open a table view, you can inspect the metadata for the time series when clicking on a point in the plot.
Let's inspect the actual data: In TOPCAT's main window, do Views/Activation Actions. If you check "Plot Table", TOPCAT will download and plot the time series; it will only plot the first lightcurve, though. To get all bands, at this point you have to manually fetch accref from the table and use File -> Load Table. Sorry about this.
Using datalink, you can also view three-band previews with one click on a plot point. To configure this, check "Invoke Service" in the Activation Actions, then use "Invoke now". In the dialog that pops up then, select the row with #preview and check Auto-Invoke. You will then see a light rendition of the light curves in (up to) three colours.
Your desktop could then look somewhat like this:
Sorted alphabetically. [Sort by DB column index]
| Name | Table Head | Description | Unit | UCD |
|---|---|---|---|---|
| accref | Product key | Access key for the data | N/A | meta.ref.url |
| accsize | File size | Size of the data in bytes | byte | VOX:Image_FileSize |
| airmass | Airmass | Airmass for this observation | N/A | obs.airMass |
| dataset_code | Dataset Id | Dataset this image belongs to (a dataset in ROME/REA is the collection of all images from a given instrument) | N/A | N/A |
| embargo | Embargo ends | Date the data will become/became public | yr | N/A |
| exposure | Exposure | Exposure time for this image | s | time.duration;obs.exposure |
| field | Field | ROME field the object was observed in | N/A | meta.id;obs.field |
| filename | File Name | Upstream file name for this image | N/A | N/A |
| filter | Filter | Filter this image was taken with | N/A | meta.id;instr.filter |
| frac_sat_pix | |Sat|/pix | Fraction of saturated pixels on this image | N/A | phot.count;arith.ratio |
| hjd | Hjd | HJD (i.e., UTC with light-time corrections for the solar centre) of the midpoint of exposure | d | time.epoch |
| image_index | Image_index | Internal index of the image within a dataset, starting from 0. This correspondds to the index of a photometry row in the photometry hdf5s | N/A | meta.id |
| mime | Type | MIME type of the file served | N/A | meta.code.mime |
| moon_ang_separation | Moon dist. | Angular Distance to the moon | deg | instr.param;pos.angDistance |
| moon_fraction | Moon_fraction | Moon phase, 0=new moon | N/A | instr.param |
| nstars | N | Number of photometry points extracted from this image | N/A | meta.number |
| owner | Owner | Owner of the data | N/A | N/A |
| qc_flag | Flags | Quality flags; null means a good image, for other codes see table note [Note q] | N/A | meta.code.qual |
| rome_id | Image Id | Identifier for the ROME/REA image. This is field*100000+per-field-index | N/A | meta.id;meta.main |
Columns that are parts of indices are marked like this.
The following services may use the data contained in this table:
VO nerds may sometimes need VOResource XML for this table.
qc_flag is a bitmap, where 0 means a good image. In the light curves we serve, only points with qc_flag=0 are retained, and you should only use other data if you really know what you are doing. In case you get ROME data from other sources, here is what the flags mean:
| 1 | No valid photometric measurement possible by stage 6 |
| 2 | Image photometry displayed excessive scatter (mostly bad seeing) |
| 4 | Data point failed phot scale factor/exposure time metric |
| 8 | Low quality image resampling |
| 16 | Difference image exhibited high residuals |