J/MNRAS/358/30ivo://CDS.VizieR/J/MNRAS/358/30doi:10.26093/cds/vizier.73580030CDSEyer L.Blake C.2024-06-30T20:17:26Z2007-02-22T12:00:37ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frvariable-starsphotometryWith the advent of surveys generating multi-epoch photometry and the discovery of large numbers of variable stars, the classification of these stars has to be automatic. We have developed such a classification procedure for about 1700 stars from the variable star catalogue of the All-Sky Automated Survey 1-2 (ASAS 1-2) by selecting the periodic stars and by applying an unsupervised Bayesian classifier using parameters obtained through a Fourier decomposition of the light curve. For irregular light curves we used the period and moments of the magnitude distribution for the classification. In the case of ASAS 1-2, 83 per cent of variable objects are red giants. A general relation between the period and amplitude is found for a large fraction of those stars. The selection led to 302 periodic and 1429 semiperiodic stars, which are classified in six major groups: eclipsing binaries, 'sinusoidal curves', Cepheids, small amplitude red variables, SR and Mira stars. The type classification error level is estimated to be about 7 per cent.2005MNRAS.358...30Ehttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/358/30CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toII/264 : ASAS Variable Stars in Southern hemisphere (Pojmanski+, 2002-05)J/AcA/48/35 : All Sky Automated Survey variable stars (Pojmamski 1998)J/AcA/50/177 : All Sky Automated Survey Catalog (Pojmanski+, 2000)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/358/30https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/358/30http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/358/30https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/358/30https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/358/30http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/358/30GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/358/30/table1 (Results of the classification)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/358/30/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/358/30/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/358/30/table1?GETtext/xml+votable180.050000true14.4958330.5783330.0055555555555555565/5530 7228 8280 9474-9475 9478 6/17816 18028 18549 18568 18801 18861 19005 19092 19204 21501 21503 21845 21900-21902 21912-21914 22071 22076-22077 22079 22112 22114-22115 22124 22208 22869 22925 22927 22936 22949 22962 23146 23552 25944 26257 26271 26965 27233 27238 28687 28698 28710 28716-28717 28720-28721 28890 28916 28958 28994 29000-29001 29229-29230 29328 30040 30044 30065 30115 30121-30123 30125 30270 30356-30357 30359 31064-31065 31139 31144 31148 31381 32838 32844 32848 33053-33054 33073 33076-33077 33095-33097 33099-33102 33104 36863 36881 37215 37890-37891 37894-37895 37906-37907 37910-37911 37916 37918 37937 38045 38047 38082 38088 40993 40995 41000 41647 41651 41654 41657-41659 41662 43013 43015 43024 43026 43847 43855 43878 43888 44848 47724 47737 48775 48787 48794 48903 48905https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/358/30?format=asciiOpticaldefaultJ/MNRAS/358/30/table1Results of the classificationPerPerioddtime.perioddoublerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintASASASAS Identification (hhmmss-ddmm.m, J2000)meta.id;meta.mainchar<Imag>Mean I magnitudemagphot.mag;em.opt.Ifloate_<Imag>rms uncertainty on <Imag>magstat.error;phot.mag;em.opt.Ifloato_<Imag>Number of measurements for <Imag>meta.numberintIampAmplitude of the variationmagarith.rate;phot.magfloatR21Amplitude ratio of harmonic vs fundamentalsrc.var.amplitude;arith.ratiofloatphi21Phase difference of harmonic vs fundamental (2)radstat.fit.paramfloatnhNumber of harmonicsmeta.numberintClass[0/8] Classification code with AUTOCLASS Bayesian classifier (1)meta.code.class;src.class.starGalaxyintPMembClass membership probabilitymeta.code.class;stat.valuefloat_RARight ascension (derived from ASAS) for Eq=J2000degpos.eq.ra;meta.main_DEDeclination (derived from ASAS) for Eq=J2000degpos.eq.dec;meta.main