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<ri:Resource created="2013-02-14T09:44:37Z" status="active" updated="2025-05-19T09:50:00Z" 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>Machine-learned ASAS Classification Cat. (MACC)</title><shortName>J/ApJS/203/32</shortName><identifier>ivo://CDS.VizieR/J/ApJS/203/32</identifier><altIdentifier>doi:10.26093/cds/vizier.22030032</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Richards J.W.</name></creator><creator><name>Starr D.L.</name></creator><creator><name>Miller A.A.</name></creator><creator><name>Bloom J.S.</name></creator><creator><name>Butler N.R.</name></creator><creator><name>Brink H.,Crellin-Quick A.</name></creator><date role="Updated">2018-07-19T07:09:14Z</date><date role="Created">2013-02-14T09:44:37Z</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>variable-stars</subject><subject>photometry</subject><description>Here, we describe a process to produce a probabilistic classification catalog of variability with machine learning from a multi-epoch photometric survey. In addition to producing accurate classifications, we show how to estimate calibrated class probabilities and motivate the importance of probability calibration. We also introduce a methodology for feature-based anomaly detection, which allows discovery of objects in the survey that do not fit within the predefined class taxonomy. Finally, we apply these methods to sources observed by the All-Sky Automated Survey (ASAS, Cat. II/264), and release the Machine-learned ASAS Classification Catalog (MACC), a 28 class probabilistic classification catalog of 50124 ASAS sources in the ASAS Catalog of Variable Stars. We estimate that MACC achieves a sub-20% classification error rate and demonstrate that the class posterior probabilities are reasonably calibrated. MACC classifications compare favorably to the classifications of several previous domain-specific ASAS papers and to the ASAS Catalog of Variable Stars, which had classified only 24% of those sources into one of 12 science classes.</description><source format="bibcode">2012ApJS..203...32R</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/203/32</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/264">II/264 : ASAS Variable Stars in Southern hemisphere (Pojmanski+, 2002-2005)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/MNRAS/427/2917">J/MNRAS/427/2917 : Hipparcos variables automated classification (Rimoldini+,</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/MNRAS/414/2602">J/MNRAS/414/2602 : Automated classification of HIP variables (Dubath+, 2011)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/AZh/88/886">J/AZh/88/886 : BVIc photometry of Cepheids from ASAS-3 (Berdnikov+, 2011)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/AJ/138/466">J/AJ/138/466 : NSVS variables automated classification (Hoffman+, 2009)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/A+A/475/1159">J/A+A/475/1159 : Supervised classification of variable stars (Debosscher+,</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/MNRAS/377/1263">J/MNRAS/377/1263 : Multiperiodic RR Lyrae in ASAS catalog (Szczygiel+, 2007)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/MNRAS/358/30">J/MNRAS/358/30 : Automated classification of ASAS variables (Eyer+, 2005)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/AcA/48/35">J/AcA/48/35 : All Sky Automated Survey variable stars (Pojmamski 1998)</relatedResource><relatedResource>http://dotastro.org/ : Time Domain Astronomy Warehouse home page</relatedResource><relatedResource>http://www.bigmacc.info/ : MACC home page</relatedResource><relatedResource>http://www.astrouw.edu.pl/asas/ : All Sky Automated Survey home page</relatedResource><relatedResource>http://www.astrouw.edu.pl/asas/?page=acvs : ASAS Catalogue of Variable Stars</relatedResource></relationship></content><rights>https://cds.unistra.fr/vizier-org/licences_vizier.html</rights><capability><interface xsi:type="vr:WebBrowser"><accessURL use="full">https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/203/32</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJS/203/32</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South 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48757 48758 48759 48761 48763 48764 48765 48767 48789 48790 48791 48792 48793 48794 48797 48798 48799 48816 48818 48819 48840 48841 48842 48868 48869 48871 48892 48893 48900 48903 48911 48912 48916 48918 48919 48921 48932 48934 48940 48941 48942 48944 48945 48952 48953 48956 48958 48962 48963 48965 48967 48968 48970 48971 48972 48973 48974 48979 48980 48981 48982 48987 48988 48990 48991 48994 48995 48996 48997 48998 49000 49002 49005 49006 49007 49010 49011 49013 49014 49028 49036 49037 49038 49041 49042 49043 49044 49046 49047 49052 49053 49055 49056 49057 49058 49061 49062 49063 49068 49069 49071 49072 49073 49074 49078 49079 49084 49085 49086 49090 49091 49092 49094 49095 49096 49097 49099 49100 49102 49103 49108 49110 49111 49116 49117 49120 49123 49124 49126 49127 49148 49150 49151</spatial><spectral>3.322582951404819e-19 3.852589004194616e-19</spectral><footprint ivo-id="ivo://ivoa.net/std/moc">https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJS/203/32?format=ascii</footprint></coverage><tableset><schema><name>default</name><table><name>J/ApJS/203/32/table6</name><description>Classification catalog results for {beta} Cephei stars in Pigulski (2005AcA....55..219P)</description><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>ASAS</name><description>ASAS identification (HHMMSS+DDMM.m; J2000)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="13*">char</dataType></column><column><name>Class</name><description>Our predicted classification (G1)</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="18*">char</dataType></column><column><name>PClass</name><description>Classification probability (G2)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Rank</name><description>? Ranking probability (not for table 8)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>Anom</name><description>Anomaly score</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Train</name><description>[Yes/No ] In training set?</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="3*">char</dataType></column><column><name>Simbad</name><description>Simbad column added by the CDS</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column></table><table><name>J/ApJS/203/32/table4</name><description>The Machine-learned ASAS Classification Catalog</description><column><name>RV</name><description>Probability of RV Tauri-type</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>ASAS</name><description>ASAS Identification (HHMMSS+DDMM.m; J2000)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="13*">char</dataType><flag>primary</flag></column><column><name>T</name><ucd>meta.id;meta.dataset</ucd><dataType xsi:type="vs:VOTableType" arraysize="1*">char</dataType></column><column><name>ID</name><description>[215153/265276] dotAstro.org ID number (1)</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>RAdeg</name><description>ASAS Right ascension in decimal degrees (J2000) 2)</description><unit>deg</unit><ucd>pos.eq.ra</ucd></column><column><name>DEdeg</name><description>ASAS Declination in decimal degrees (J2000) (2)</description><unit>deg</unit><ucd>pos.eq.dec</ucd></column><column><name>Class</name><description>Classification of variable (G1)</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="17*">char</dataType></column><column><name>PClass</name><description>[0.09/1] Classification probability (G2)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Anom</name><description>[0.0373/24] Anomaly score of variable, higher is more anomalous</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>AClass</name><description>ASAS Catalog of Variable Stars classification (3)</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="27*">char</dataType></column><column><name>TClass</name><description>Training class, if object is in training set</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="17*">char</dataType></column><column><name>Mira</name><description>Probability of Mira</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>SR</name><description>Probability of semi-regular pulsating variable</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>SRS-A</name><description>Probability of small-amplitude red giant, Type A</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>SRS-B</name><description>Probability of small-amplitude red giant, Type B</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>LSP</name><description>Probability of Long Secondary Period variable</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>DCEP</name><description>Probability of classical Cepheid ({delta} Cep)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>DCEP-2</name><description>Probability of population II Cepheid</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>CEP(B)</name><description>Probability of multi-mode Cepheid</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>RR-0</name><description>Probability of RR Lyrae, fundamental mode</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>RR-1</name><description>Probability of RR Lyrae, first overtone</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>RR(B)</name><description>Probability of RR Lyrae, double mode</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>DSCT</name><description>Probability of {delta} Scuti type</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>SXPHE</name><description>Probability of SX Phoenicis type</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>BCEP</name><description>Probability of {beta} Cephei type</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>PulBe</name><description>Probability of pulsating Be star</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>RSG</name><description>Probability of red supergiant</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>CP</name><description>Probability of chemically peculiar star</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>RCB</name><description>Probability of R Coronae Borealis</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>CTT</name><description>Probability of classical T Tauri star</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>WTT</name><description>Probability of weakline T Tauri star</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>RS</name><description>Probability of RS CVn type</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Ae/Be</name><description>Probability of Herbig Ae/Be</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>SDOR</name><description>Probability of S Doradus type</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>ELL</name><description>Probability of ellipsoidal variable</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>EA</name><description>Probability of {beta} Persei (Algol) (detached)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>EB</name><description>Probability of {beta} Lyrae (semi-detached)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>EW</name><description>Probability of W Ursae Majoris (contact)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Per</name><description>[0.03037/5500.06] Period</description><unit>d</unit><ucd>time.period</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>Signi</name><description>[0.395/37.909] Statistical significance of period</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Nep</name><description>[3/2232] Number of ASAS epochs in the light curve</description><ucd>meta.number</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Vmag</name><description>[3.96/15.76] Median ASAS V band magnitude</description><unit>mag</unit><ucd>phot.mag;em.opt.V</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Vamp</name><description>[0.04/4.71] Amplitude of V band ASAS variation</description><unit>mag</unit><ucd>arith.rate;phot.mag;em.opt.V</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>ACVS</name><description>Details from the ASAS Catalogue of Variable Stars</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column><column><name>_RA</name><description>Positions from the ASAS Catalog of Variable Stars, Version 2005-09-05 (II/264) or from the online version (http://www.astrouw.edu.pl/asas/?page=acvs) (right ascension part)</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd><flag>indexed</flag></column><column><name>_DE</name><description>Positions from the ASAS Catalog of Variable Stars, Version 2005-09-05 (II/264) or from the online version (http://www.astrouw.edu.pl/asas/?page=acvs) (declination part)</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd><flag>indexed</flag></column></table><table><name>J/ApJS/203/32/table7</name><description>Classification catalog results for Double-Mode RR Lyrae stars in Szczygiel &amp; Fabrycky (2007, Cat. J/MNRAS/377/1263)</description><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>ASAS</name><description>ASAS identification (HHMMSS+DDMM.m; J2000)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="13*">char</dataType></column><column><name>Class</name><description>Our predicted classification (G1)</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="18*">char</dataType></column><column><name>PClass</name><description>Classification probability (G2)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Rank</name><description>? Ranking probability (not for table 8)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>Anom</name><description>Anomaly score</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Train</name><description>[Yes/No ] In training set?</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="3*">char</dataType></column><column><name>S07</name><description>Link to RR* in ASAS (Cat. J/MNRAS/377/1263)</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column><column><name>Simbad</name><description>Simbad column added by the CDS</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column></table><table><name>J/ApJS/203/32/table8</name><description>Classification catalog results for Orion belt variables in Caballero et al. (2010AN....331..257C)</description><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>ASAS</name><description>ASAS identification (HHMMSS+DDMM.m; J2000)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="13*">char</dataType></column><column><name>Class</name><description>Our predicted classification (G1)</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="18*">char</dataType></column><column><name>PClass</name><description>Classification probability (G2)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Anom</name><description>Anomaly score</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Train</name><description>[Yes/No ] In training set?</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="3*">char</dataType></column><column><name>CClass</name><description>Caballero (2010AN....331..257C) classification (only for table 8)</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="13*">char</dataType></column></table><table><name>J/ApJS/203/32/table5</name><description>Classification catalog results for classical Cepheid stars confirmed by Berdnikov et al. (2011, Cat. J/AZh/88/886)</description><column><name>Anom</name><description>Anomaly score</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>ASAS</name><description>ASAS identification (HHMMSS+DDMM.m; J2000)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="13*">char</dataType></column><column><name>Class</name><description>Our predicted classification (G1)</description><ucd>meta.code;src.var</ucd><dataType xsi:type="vs:VOTableType" arraysize="18*">char</dataType></column><column><name>PClass</name><description>Classification probability (G2)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Rank</name><description>? Ranking probability (not for table 8)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>Train</name><description>[Yes/No ] In training set?</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="3*">char</dataType></column><column><name>B11</name><description>Link to Ce* in ASAS (Cat. J/AZh/88/886)</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column><column><name>Simbad</name><description>Simbad column added by the CDS</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column></table></schema></tableset></ri:Resource>