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<ri:Resource created="2025-07-07T08:22:39Z" status="active" updated="2025-08-01T20:10:01Z" 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>Ultracool dwarf candidates from machine-learning</title><shortName>J/AJ/168/211</shortName><identifier>ivo://CDS.VizieR/J/AJ/168/211</identifier><altIdentifier>doi:10.26093/cds/vizier.51680211</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Brooks H.</name></creator><creator><name>Caselden D.</name></creator><creator><name>Kirkpatrick J.D.</name></creator><creator><name>Raghu Y.</name></creator><creator><name>Elachi C.A.,Grigorian J.</name></creator><creator><name>Trek A.</name></creator><creator><name>Washburn A.</name></creator><creator><name>Higashimura H.</name></creator><creator><name>Meisner A.M.,Schneider A.C.</name></creator><creator><name>Faherty J.K.</name></creator><creator><name>Marocco F.</name></creator><creator><name>Gelino C.R.</name></creator><creator><name>Gagne J.,Bickle T.P.</name></creator><creator><name>Tang S.-Y.</name></creator><creator><name>Rothermich A.</name></creator><creator><name>Burgasser A.J.</name></creator><creator><name>Kuchner M.J.,Beaulieu P.</name></creator><creator><name>Bell J.</name></creator><creator><name>Colin G.</name></creator><creator><name>Colombo G.</name></creator><creator><name>Dereveanco A.</name></creator><creator><name>Flores D.P.,Glebov K.</name></creator><creator><name>Gramaize L.</name></creator><creator><name>Hamlet L.</name></creator><creator><name>Hinckley K.</name></creator><creator><name>Kabatnik M.</name></creator><creator><name>Kiwy F.,Martin D.W.</name></creator><creator><name>Palma Mendez R.F.</name></creator><creator><name>Pendrill B.</name></creator><creator><name>Ruiz L.</name></creator><creator><name>Sanchez J.,Sainio A.</name></creator><creator><name>Schumann J.</name></creator><creator><name>Schonau M.</name></creator><creator><name>Tanner C.</name></creator><creator><name>Stevnbak N.</name></creator><creator><name>Stenner A.,Thevenot M.</name></creator><creator><name>Thakur V.</name></creator><creator><name>Voloshin N.V.</name></creator><creator><name>Wedracki Z.,The Backyard Worlds: Planet 9 Collaboration</name></creator><date role="Updated">2025-08-01T20:10:01Z</date><date role="Created">2025-07-07T08:22:39Z</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>astronomical-models</subject><subject>photometry</subject><subject>classification</subject><subject>visible-astronomy</subject><subject>infrared-astronomy</subject><subject>brown-dwarfs</subject><subject>dwarf-stars</subject><subject>subdwarf-stars</subject><subject>m-stars</subject><subject>l-dwarfs</subject><subject>stellar-spectral-types</subject><description>We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine-learning tool, named SMDET, applied to time-series images from the Wide-field Infrared Survey Explorer. We gathered photometric and astrometric data to estimate each candidate's spectral type, distance, and tangential velocity. This sample has a photometrically estimated spectral class distribution of 28 M dwarfs, 64 L dwarfs, and 18 T dwarfs. We also identify a T-subdwarf candidate, two extreme T-subdwarf candidates, and two candidate young ultracool dwarfs. Five objects did not have enough photometric data for any estimations to be made. To validate our estimated spectral types, spectra were collected for two objects, yielding confirmed spectral types of T5 (estimated T5) and T3 (estimated T4). Demonstrating the effectiveness of machine-learning tools as a new large-scale discovery technique.</description><source format="bibcode">2024AJ....168..211B</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/168/211</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/II/246">II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/382">II/382 : VIKING catalogue data release 4 (Cross+, 2012)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/319">II/319 : UKIDSS-DR9 LAS, GCS and DXS Surveys (Lawrence+ 2012)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/328">II/328 : AllWISE Data Release (Cutri+ 2013)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/349">II/349 : The Pan-STARRS release 1 (PS1) Survey - DR1 (Chambers+, 2016)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/367">II/367 : The VISTA Hemisphere Survey (VHS) cat. 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VHS K_s_-band apparent magnitude</description><unit>mag</unit><ucd>phot.mag;em.IR.K</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_Ksmag</name><description>[0.01/0.2]? Uncertainty in Ksmag</description><unit>mag</unit><ucd>stat.error;phot.mag;em.IR.K</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>rmag</name><description>[22.046]? PanSTARRS r-band apparent 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_rmag</name><description>[0.148]? Uncertainty in rmag</description><unit>mag</unit><ucd>stat.error;phot.mag;em.opt.R</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>imag</name><description>[20.4/21.9]? PanSTARRS i-band apparent magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt.I</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>ymag</name><description>[18/20.7]? PanSTARRS y-band apparent magnitude</description><unit>mag</unit><ucd>phot.mag;em.IR.J</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_ymag</name><description>[1e-3/0.2]? Uncertainty in ymag</description><unit>mag</unit><ucd>stat.error;phot.mag;em.IR.J</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>pmRA</name><description>[-0.9/1] CatWISE2020 proper motion in RA</description><unit>arcsec/yr</unit><ucd>pos.pm;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_pmRA</name><description>[7e-3/0.1] Uncertainty in pmRA</description><unit>arcsec/yr</unit><ucd>stat.error;pos.pm;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>pmDE</name><description>[-1/0.5] CatWISE2020 proper motion in DE</description><unit>arcsec/yr</unit><ucd>pos.pm;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_pmDE</name><description>[7e-3/0.1] Uncertainty in pmDE</description><unit>arcsec/yr</unit><ucd>stat.error;pos.pm;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>pm</name><description>[0.07/1.1] CatWISE2020 total proper motion</description><unit>arcsec/yr</unit><ucd>pos.pm</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_pm</name><description>[0.01/0.2] Uncertainty in pm</description><unit>arcsec/yr</unit><ucd>stat.error;pos.pm</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>pmRAd</name><description>[-0.6/0.7]? Derived proper motion in RA; See Section 3</description><unit>arcsec/yr</unit><ucd>pos.pm;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_pmRAd</name><description>[9e-3/0.6]? Uncertainty in pmRAd</description><unit>arcsec/yr</unit><ucd>stat.error;pos.pm;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>pmDEd</name><description>[-1/0.7]? Derived proper motion in DE; See Section 3</description><unit>arcsec/yr</unit><ucd>pos.pm;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_pmDEd</name><description>[3e-3/0.2]? Uncertainty in pmDEd</description><unit>arcsec/yr</unit><ucd>stat.error;pos.pm;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>pmd</name><description>[0.2/1]? Total proper motion; See Section 3</description><unit>arcsec/yr</unit><ucd>pos.pm</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_pmd</name><description>[0.03/0.3]? Uncertainty in pmd</description><unit>arcsec/yr</unit><ucd>stat.error;pos.pm</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>SpTp</name><description>Derived estimated photometric spectral type; See Section 4.1 (2)</description><ucd>src.spType</ucd><dataType xsi:type="vs:VOTableType" arraysize="5*">char</dataType></column><column><name>SpTs</name><description>Derived spectral type from observed spectrum; See Section 4.2</description><ucd>src.spType</ucd><dataType xsi:type="vs:VOTableType" arraysize="2*">char</dataType></column><column><name>chi2</name><description>[0/370]? Derived {chi}^2^ value; See Section 4.1</description><ucd>stat.fit.chi2</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>Dist</name><description>[15.2/906]? Derived distance; See Section 5</description><unit>pc</unit><ucd>pos.distance</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>e_Dist</name><description>[0.05/118]? Uncertainty in Dist</description><unit>pc</unit><ucd>stat.error;pos.distance</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>Vtan</name><description>[20.2/1629]? Derived tangential velocity; See Section 5</description><unit>km/s</unit><ucd>phys.veloc.transverse</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>e_Vtan</name><description>[1.8/461]? Uncertainty in Vtan</description><unit>km/s</unit><ucd>stat.error;phys.veloc.transverse</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>VHS</name><description>Display data from VHS DR5 (Cat II/367)</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column><column><name>LAS</name><description>Display data from UKIDSS LAS DR9 (Cat II/319)</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column></table></schema></tableset></ri:Resource>