<?xml version='1.0'?><?xml-stylesheet href='/static/xsl/oai.xsl' type='text/xsl'?><ri:Resource created="2018-08-28T12:21:37Z" status="active" updated="2024-02-06T08:59:18Z" version="1.2" xmlns:g-colstat="http://dc.g-vo.org/ColStats-1" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://dc.g-vo.org/ColStats-1 http://vo.ari.uni-heidelberg.de/docs/schemata/Colstats.xsd http://www.ivoa.net/xml/RegistryInterface/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/RegistryInterface.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogResource"><title>Estimated distances to 1.33 billion stars in Gaia DR2</title><shortName>gdr2dist.distpos</shortName><identifier>ivo://org.gavo.dc/gdr2dist/q/distpos</identifier><curation><publisher>The GAVO DC team</publisher><creator><name>Bailer-Jones, C.A.L.</name></creator><creator><name>Rybizki, J.</name></creator><creator><name>Fouesneau, M.</name></creator><creator><name>Mantelet, G.</name></creator><creator><name>Andrae, R.</name></creator><date role="Updated">2022-04-04T15:48:41Z</date><contact><name>GAVO Data Centre Team</name><address>Mönchhofstrasse 12-14, D-69120 Heidelberg</address><email>gavo@ari.uni-heidelberg.de</email><telephone>+49 6221 54 1837</telephone></contact></curation><content><subject>milky-way-galaxy</subject><subject>stellar-distance</subject><subject>surveys</subject><subject>stars</subject><description>
This catalogue provides distances estimates (and uncertainties therein)
for 1.33 billion stars over the whole sky brighter than about G=20.7.
These have been estimated using the parallaxes (and their uncertainties)
from Gaia DR2. A Bayesian procedure was used involving a prior
with a single parameter L(l,b), which varies smoothly with Galactic
longitude and latitude according to a Galaxy model. The posterior is
summarized 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.

.. _accompanying paper: http://www.mpia.de/homes/calj/gdr2_distances.html</description><source format="bibcode">2018AJ....156...58B</source><referenceURL>http://dc.g-vo.org/tableinfo/gdr2dist.distpos</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel></content><instrument>Gaia</instrument><coverage><spatial>0/0-11</spatial></coverage><tableset><schema><name>gdr2dist</name><title>Estimated distances to 1.33 billion stars in Gaia DR2</title><description>
This catalogue provides distances estimates (and uncertainties therein)
for 1.33 billion stars over the whole sky brighter than about G=20.7.
These have been estimated using the parallaxes (and their uncertainties)
from Gaia DR2. A Bayesian procedure was used involving a prior
with a single parameter L(l,b), which varies smoothly with Galactic
longitude and latitude according to a Galaxy model. The posterior is
summarized 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.

.. _accompanying paper: http://www.mpia.de/homes/calj/gdr2_distances.html</description><table><name>gdr2dist.distpos</name><description>
This catalogue provides distances estimates (and uncertainties therein)
for 1.33 billion stars over the whole sky brighter than about G=20.7.
These have been estimated using the parallaxes (and their uncertainties)
from Gaia DR2. A Bayesian procedure was used involving a prior
with a single parameter L(l,b), which varies smoothly with Galactic
longitude and latitude according to a Galaxy model. The posterior is
summarized 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.

.. _accompanying paper: http://www.mpia.de/homes/calj/gdr2_distances.html</description><column><name>source_id</name><description>Unique source identifier. Note that this *cannot* be matched against the DR1 source_id.</description><ucd>meta.id;meta.main</ucd><stats><min>20890721109504</min><percentile03>4.314552101313878e+17</percentile03><median>4.317781268923228e+18</median><percentile97>6.712850540084986e+18</percentile97><max>6917510267224389120</max><fillFactor>1.0</fillFactor></stats><dataType xsi:type="vs:VOTableType">long</dataType><flag>nullable</flag></column><column><name>r_est</name><description>Estimated distance</description><unit>pc</unit><ucd>pos.distance</ucd><stats><min>0.593017</min><percentile03>533.897</percentile03><median>2839.87</median><percentile97>6067.7</percentile97><max>25939.1</max><fillFactor>0.999997</fillFactor></stats><dataType xsi:type="vs:VOTableType">float</dataType><flag>indexed</flag><flag>nullable</flag></column><column><name>r_lo</name><description>Lower bound on the 1 σ confidence interval</description><unit>pc</unit><ucd>pos.distance;stat.min</ucd><stats><min>0</min><percentile03>373.056</percentile03><median>1572.49</median><percentile97>3977.79</percentile97><fillFactor>1</fillFactor></stats><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>r_hi</name><description>Upper bound on the 1 σ confidence interval</description><unit>pc</unit><ucd>pos.distance;stat.max</ucd><stats><min>0.59354</min><percentile03>750.596</percentile03><median>5190.92</median><percentile97>9857.76</percentile97><fillFactor>1</fillFactor></stats><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>r_len</name><description>Length scale used in the prior for the distance estimation.</description><unit>pc</unit><ucd>stat.fit.param;pos.distance</ucd><stats><min>335.228</min><percentile03>465.439</percentile03><median>1472.56</median><percentile97>2320.33</percentile97><max>2597.67</max><fillFactor>1</fillFactor></stats><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>result_flag</name><description>Type of result.</description><ucd>meta.code.qual</ucd><stats><min>0</min><percentile03>1.0</percentile03><median>1.0</median><percentile97>1.0</percentile97><max>2</max><fillFactor>1.0</fillFactor></stats><dataType xsi:type="vs:VOTableType">short</dataType></column><column><name>modality_flag</name><description>Result regime flag: number of modes in the posterior (1 or 2).</description><ucd>meta.code</ucd><stats><min>1</min><percentile03>1.0</percentile03><median>1.0</median><percentile97>1.0</percentile97><max>2</max><fillFactor>1.0</fillFactor></stats><dataType xsi:type="vs:VOTableType">short</dataType></column><column><name>ra</name><description>Barycentric Right Ascension in ICRS at ref_epoch</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>indexed</flag><flag>nullable</flag></column><column><name>dec</name><description>Barycentric Declination in ICRS at ref_epoch</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>indexed</flag><flag>nullable</flag></column></table></schema></tableset></ri:Resource>