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<ri:Resource created="2018-12-07T15:54:07Z" status="active" updated="2025-09-25T20:16:25Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" 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://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.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:CatalogService"><title>Predicted Microlensing Events for the 21st Century</title><shortName>J/AcA/68/183</shortName><identifier>ivo://CDS.VizieR/J/AcA/68/183</identifier><altIdentifier>doi:10.26093/cds/vizier.120680183</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Bramich D.M.</name></creator><creator><name>Nielsen M.B.</name></creator><date role="Updated">2025-09-25T20:16:25Z</date><date role="Created">2018-12-07T15:54:07Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>gravitational-lensing</subject><subject>astrometry</subject><description>Using Gaia data release 2 (GDR2, Cat. I/345), we present an almanac of 2509 predicted microlensing events, caused by 2130 unique lens stars, that will peak between July 25, 2026 and the end of the century. This work extends and completes a thorough search for future microlensing events initiated by Bramich and Nielsen using GDR2. The almanac includes 161 lenses that will cause at least two microlensing events each. All of the predicted microlensing events in the almanac will exhibit astrometric signals that are detectable by observing facilities with an angular resolution and astrometric precision similar to, or better than, that of the Hubble Space Telescope (e.g., NIRCam on the James Webb Space Telescope), although the events with the most extreme source-to-lens contrast ratios may be challenging. Ground-based telescopes of at least 1 m in diameter can be used to observe many of the events that are also expected to exhibit a photometric signal.</description><source format="bibcode">2018AcA....68..183B</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AcA/68/183</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship><relationship><relationshipType>related-to</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/I/345">I/345 : Gaia DR2 (Gaia Collaboration, 2018)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/A+A/618/A44">J/A+A/618/A44 : Predicted microlensing events from Gaia DR2 (Bramich, 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Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Event</name><description>Event Name</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="6*">char</dataType></column><column><name>LensSpType</name><description>Lens Spectral Type</description><ucd>src.spType</ucd><dataType xsi:type="vs:VOTableType" arraysize="2*">char</dataType></column><column><name>LensSource</name><description>Lens GDR2 ID</description><ucd>meta.id</ucd></column><column><name>RALdeg</name><description>Lens Right ascension (ICRS, Ep=J2015.5)</description><unit>deg</unit><ucd>pos.eq.ra</ucd></column><column><name>e_RALdeg</name><description>Error on Lens RA (mas)</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>DELdeg</name><description>Lens Declination (ICRS, Ep=J2015.5)</description><unit>deg</unit><ucd>pos.eq.dec</ucd></column><column><name>e_DELdeg</name><description>Error on Lens DE (mas)</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>LenspmRA</name><description>Lens Proper Motion along RA, pmRA*cosDE</description><unit>mas/yr</unit><ucd>pos.pm</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e_LenspmRA</name><description>Error on Lens Proper Motion RA</description><unit>mas/yr</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>LenspmDE</name><description>Lens Proper Motion along DE</description><unit>mas/yr</unit><ucd>pos.pm</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e_LenspmDE</name><description>Error on Lens Proper Motion DE</description><unit>mas/yr</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Lensplx</name><description>Lens Parallax</description><unit>mas</unit><ucd>pos.parallax.trig</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_Lensplx</name><description>Error on Lens Parallax</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>LensGmag</name><description>Lens G Mean Magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_LensGmag</name><description>Error on Lens G Mean Magnitude</description><unit>mag</unit><ucd>stat.error;phot.mag</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>LensBPmag</name><description>Lens G_BP Mean Magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt.B</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_LensBPmag</name><description>Error on Lens G_BP Mean Magnitude</description><unit>mag</unit><ucd>stat.error;phot.mag</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>LensRPmag</name><description>Lens G_RP Mean Magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt.R</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_LensRPmag</name><description>Error on Lens G_RP Mean Magnitude</description><unit>mag</unit><ucd>stat.error;phot.mag</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>LensMass</name><description>Lens Mass</description><unit>solMass</unit><ucd>phys.mass</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Source</name><description>Source Gaia DR2 ID</description><ucd>meta.id.parent</ucd></column><column><name>RAICRS</name><description>Source Right ascension (ICRS, Ep=J2015.5)</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd></column><column><name>e_RAICRS</name><description>Error on Source RA</description><unit>mas</unit><ucd>stat.error;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>DEICRS</name><description>Source Declination (ICRS, Ep=2015.5)</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd></column><column><name>e_DEICRS</name><description>Error on Source DE</description><unit>mas</unit><ucd>stat.error;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>pmRA</name><description>? Source Proper Motion along RA</description><unit>mas/yr</unit><ucd>pos.pm;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_pmRA</name><description>? Error on Source Proper Motion RA</description><unit>mas/yr</unit><ucd>stat.error;pos.pm;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>pmDE</name><description>? Source Proper Motion along DE</description><unit>mas/yr</unit><ucd>pos.pm;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>e_pmDE</name><description>? Error on Source Proper Motion DE</description><unit>mas/yr</unit><ucd>stat.error;pos.pm;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>plx</name><description>? Source Parallax</description><unit>mas</unit><ucd>pos.parallax.trig</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_plx</name><description>? Error On Source Parallax</description><unit>mas</unit><ucd>stat.error;pos.parallax</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>Gmag</name><description>Source G Mean Magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_Gmag</name><description>Error On Source G Mean Magnitude</description><unit>mag</unit><ucd>stat.error;phot.mag</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>BPmag</name><description>? Source G_BP Mean Magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt.B</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_BPmag</name><description>? Error On Source G_BP Mean Magnitude</description><unit>mag</unit><ucd>stat.error;phot.mag</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>RPmag</name><description>? Source G_RP Mean Magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt.R</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_RPmag</name><description>? Error On Source G_RP Mean Magnitude</description><unit>mag</unit><ucd>stat.error;phot.mag</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e1_thetaE</name><description>2.3 Percentile theta_E</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_thetaE</name><description>15.9 Percentile theta_E</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>thetaE</name><description>Median theta_E</description><unit>mas</unit><ucd>stat.fit.param</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_thetaE</name><description>84.1 Percentile theta_E</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_thetaE</name><description>97.7 Percentile theta_E</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_u0t</name><description>2.3 Percentile u_0 (u_0_t)</description><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_u0t</name><description>15.9 Percentile u_0 (u_0_t)</description><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>u0t</name><description>Median angular distance on the sky u_0 (u_0_t)</description><ucd>pos.distance;stat.min</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_u0t</name><description>84.1 Percentile u_0 (u_0_t)</description><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_u0t</name><description>97.7 Percentile u_0 (u_0_t)</description><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(u0&lt;1)</name><description>Probability that the event will have u_0_&lt;1</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(u0&lt;2)</name><description>Probability that the event will have u_0_&lt;2</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(u0&lt;5)</name><description>Probability that the event will have u_0_&lt;5</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(u0&lt;10)</name><description>Probability that the event will have u_0_&lt;10</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_thetaE*u0</name><description>2.3 Percentile theta_E*u_0</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_thetaE*u0</name><description>15.9 Percentile theta_E*u_0</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>thetaE*u0</name><description>Median theta_E*u_0</description><unit>mas</unit><ucd>stat.fit.param</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_thetaE*u0</name><description>84.1 Percentile theta_E*u_0</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_thetaE*u0</name><description>97.7 Percentile theta_E*u_0</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(thetaE*u0&lt;100)</name><description>Probability that the event will have theta_E_*u_0_&lt;100mas</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(thetaE*u0&lt;200)</name><description>Probability that the event will have theta_E_*u_0_&lt;200mas</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(thetaE*u0&lt;500)</name><description>Probability that the event will have theta_E_*u_0_&lt;500mas</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(thetaE*u0&lt;1000)</name><description>Probability that the event will have theta_E_*u_0_&lt;1000mas</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_t0</name><description>2.3 Percentile t_0_ (Julian year)</description><unit>yr</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e2_t0</name><description>15.9 Percentile t_0_ (Julian year)</description><unit>yr</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e3_t0</name><description>84.1 Percentile t_0_ (Julian year)</description><unit>yr</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e4_t0</name><description>97.7 Percentile t_0_ (Julian year)</description><unit>yr</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e1_dAA1</name><description>2.3 Percentile {DELTA}(A,A_1_)</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_dAA1</name><description>15.9 Percentile {DELTA}(A,A_1_)</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>dAA1</name><description>Median difference between the minimum and maximum magnifications of an event over the time period adopted in this paper {DELTA}(A,A_1_)</description><unit>mag</unit><ucd>phot.mag;arith.diff</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_dAA1</name><description>84.1 Percentile {DELTA}(A,A_1_)]</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_dAA1</name><description>97.7 Percentile {DELTA}(A,A_1_)]</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_TdAA1</name><description>2.3 Percentile T[{DELTA}(A,A_1_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_TdAA1</name><description>15.9 Percentile T[{DELTA}(A,A_1_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>TdAA1</name><description>Median amount of time that an event spends with its magnification above min{A,A1}+{DELTA}(A,A_1_)/2, T[{DELTA}(A,A_1)]</description><unit>d</unit><ucd>time;arith.diff</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_TdAA1</name><description>84.1 Percentile T[{DELTA}(A,A_1_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_TdAA1</name><description>97.7 Percentile T[{DELTA}(A,A_1_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(dAA1&gt;0.4)</name><description>Probability that the event will have {DELTA}(A,A_1_)&gt;0.4mmag</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_dALI2</name><description>2.3 Percentile {DELTA}A_LI2_</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_dALI2</name><description>15.9 Percentile {DELTA}A_LI2_</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>dALI2</name><description>Median {DELTA}A_LI2_</description><unit>mag</unit><ucd>phot.mag;arith.diff</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_dALI2</name><description>84.1 Percentile {DELTA}A_LI2_</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_dALI2</name><description>97.7 Percentile {DELTA}A_LI2_</description><unit>mag</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(dALI2&gt;0.4)</name><description>Probability that the event will have {DELTA}A_LI2_&gt;0.4mmag</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_dmth2</name><description>2.3 Percentile {DELTA}({delta}_mic_,{theta}_2_)</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_dmth2</name><description>15.9 Percentile {DELTA}({delta}_mic_,{theta}_2_)</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>dmth2</name><description>Median difference between the minimum and maximum astrometric shifts of an event over the time period adopted in this paper {DELTA}({delta}_mic_,{theta}_2_)</description><unit>mas</unit><ucd>stat.fit.param</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_dmth2</name><description>84.1 Percentile {DELTA}({delta}_mic_,{theta}_2_)</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_dmth2</name><description>97.7 Percentile {DELTA}({delta}_mic_,{theta}_2_)</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_Tdmth2</name><description>2.3 Percentile T[{DELTA}({delta}_mic_,{theta}_2_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e2_Tdmth2</name><description>15.9 Percentile T[{DELTA}({delta}_mic_,{theta}_2_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>Tdmth2</name><description>Median amount of time that an event spends with its astrometric shift above min({delta}_mic_,{theta}_2_)+ {DELTA}({delta}_mic_,{theta}_2_)/2, T[{DELTA}({delta}_mic_,{theta}_2_)]</description><unit>d</unit><ucd>time;arith.diff</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e3_Tdmth2</name><description>84.1 Percentile T[{DELTA}({delta}_mic_,{theta}_2_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e4_Tdmth2</name><description>97.7 Percentile T[{DELTA}({delta}_mic_,{theta}_2_)]</description><unit>d</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>P(dmth2&gt;0.131)</name><description>Probability that the event will have {DELTA}({delta}_mic_,{theta}_2_) &gt;0.131mas</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e1_dthLI2</name><description>2.3 Percentile {DELTA}theta_LI2_</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e2_dthLI2</name><description>15.9 Percentile {DELTA}theta_LI2_</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>dthLI2</name><description>Median {DELTA}theta_LI2_</description><unit>mas</unit><ucd>stat.fit.param</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e3_dthLI2</name><description>84.1 Percentile {DELTA}theta_LI2_</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e4_dthLI2</name><description>97.7 Percentile {DELTA}theta_LI2_</description><unit>mas</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P(dthLI2&gt;0.131)</name><description>Probability that the event will have {DELTA}theta_LI2_&gt;0.131mas</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>_RA.icrs</name><description>Right ascension (ICRS) at Epoch=J2000, proper motions taken into account</description><unit>deg</unit><ucd>pos.eq.ra</ucd><flag>nullable</flag><flag>indexed</flag></column><column><name>_DE.icrs</name><description>Declination (ICRS) at Epoch=J2000, proper motions taken into account</description><unit>deg</unit><ucd>pos.eq.dec</ucd><flag>nullable</flag><flag>indexed</flag></column><column><name>t0</name><description>Median t_0_ (Julian year)</description><unit>yr</unit><ucd>time.epoch</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column></table></schema></tableset></ri:Resource>