<?xml version='1.0'?><?xml-stylesheet href='/static/xsl/oai.xsl' type='text/xsl'?><ri:Resource created="2021-03-11T11:36:23Z" status="active" updated="2024-02-06T09:09:51Z" 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>Magnitude distribution over 7-HEALPixes</title><shortName>gcns.maglims7</shortName><identifier>ivo://org.gavo.dc/gcns/q/maglims7</identifier><curation><publisher>The GAVO DC team</publisher><creator><name>Smart, R.L.</name></creator><creator><name>Sarro, L.M.</name></creator><creator><name>Rybizki, J.</name></creator><creator><name>Reylé, C.</name></creator><creator><name>Robin, A.C.</name></creator><creator><name>Hambly, N.C.</name></creator><creator><name>Abbas, U.</name></creator><creator><name>Barstow, M.A.</name></creator><creator><name>de Bruijne, J.H.J.</name></creator><creator><name>Bucciarelli, B.</name></creator><creator><name>Carrasco, J.M.</name></creator><creator><name>Cooper, W.J.</name></creator><creator><name>Hodgkin, S.T.</name></creator><creator><name>Masana, E.</name></creator><creator><name>Michalik, D.</name></creator><creator><name>Sahlmann, J.</name></creator><creator><name>Sozzetti, A.</name></creator><creator><name>Gaia Collaboration</name></creator><date role="Updated">2024-02-06T09:10:02Z</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>catalogs</subject><subject>hertzsprung-russell-diagram</subject><subject>luminosity-function</subject><subject>stellar-mass-functions</subject><subject>solar-neighborhood</subject><description> The G magnitude distribution percentiles per level 7 HEALpixes for
all Gaia sources with a parallax and a G magnitude measurement. Can be
used to approximate the G magnitude limit for Gaia at that position of
the sky. Sources up to a limiting magnitude equal to 'magnitude_70'
are 98% complete when compared to PS1. The 80th and 90th percentile
decrease the completeness in Gaia to 97% and 95%, respectively. These
cuts can be very useful, when trying to compare Gaia data to models,
e.g. the GeDR3mock catalog (gedrmock.main).</description><source>https://doi.org/10.1051/0004-6361/202039498</source><referenceURL>http://dc.g-vo.org/tableinfo/gcns.maglims7</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel></content><instrument>Gaia</instrument><coverage><spatial>0/0-11</spatial><waveband>Optical</waveband></coverage><tableset><schema><name>gcns</name><title>The Gaia eDR3 Catalogue of Nearby Stars GCNS</title><description>
This is a clean and well characterised catalogue of objects within 100pc of
the Sun from the Gaia early third data release. We characterise the
catalogue using the full data release, and comparisons to other catalogues
in literature and simulations.  For all candidates (measured parallax &lt;
8 mas), we calculate a distance probability function using Bayesian
procedures and mock catalogues for the prediction of the priors. For each
entry using a random forest classifier we attempt to remove sources with
spurious astrometric solutions.

This results in 331312 objects that should contain at least 92% of stars
within 100 pc at spectral type M9.

GCNS comes with several auxiliary tables, in particular lists of
resolved stellar systems, of known neary stars not found in eDR3 and
of candidates of Hyades and ComaBer cluster members.</description><table><name>gcns.maglims7</name><title>Magnitude distribution over 7-HEALPixes</title><description> The G magnitude distribution percentiles per level 7 HEALpixes for
all Gaia sources with a parallax and a G magnitude measurement. Can be
used to approximate the G magnitude limit for Gaia at that position of
the sky. Sources up to a limiting magnitude equal to 'magnitude_70'
are 98% complete when compared to PS1. The 80th and 90th percentile
decrease the completeness in Gaia to 97% and 95%, respectively. These
cuts can be very useful, when trying to compare Gaia data to models,
e.g. the GeDR3mock catalog (gedrmock.main).</description><nrows>196608</nrows><column><name>hpx</name><description>HEALPix on level 7 these statistics are for</description><ucd>pos.healpix</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>magnitude_70</name><description>70th percentle of the G-magnitude distribution in Gaia eDR3 for all objects with both parallax and a G magnitude</description><unit>mag</unit><ucd>stat.param</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>magnitude_80</name><description>80th percentle of the G-magnitude distribution in Gaia eDR3 for all objects with both parallax and a G magnitude</description><unit>mag</unit><ucd>stat.param</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>magnitude_90</name><description>90th percentle of the G-magnitude distribution in Gaia eDR3 for all objects with both parallax and a G magnitude</description><unit>mag</unit><ucd>stat.param</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>sourcecount</name><description>Number of objects contributing to the distribution</description><ucd>meta.number</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column></table></schema></tableset></ri:Resource>