J/MNRAS/506/1651ivo://CDS.VizieR/J/MNRAS/506/1651doi:10.26093/cds/vizier.75061651CDSLi C.Zhang Y.Cui C.Fan D.Zhao Y.Wu X.-B.He B.Xu Y.Li S.,Han J.Tao Y.Mi L.Yang H.Yang S.2024-11-06T20:34:07Z2024-07-01T12:09:52ZCDS support team

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

cds-question@unistra.frsurveysgalaxiesyoung-stellar-objectsvisible-astronomyinfrared-sourcesphotometrystellar-spectral-typesThe Beijing-Arizona Sky Survey (BASS) Data Release 3 (DR3) catalogue was released in 2019, which contains the data from all BASS and the Mosaic z-band Legacy Survey (MzLS) observations during 2015 January and 2019 March, about 200 million sources. We cross-match BASS DR3 with spectral data bases from the Sloan Digital Sky Survey (SDSS) and the Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) to obtain the spectroscopic classes of known samples. Then, the samples are cross-matched with ALLWISE data base. Based on optical and infrared information of the samples, we use the XGBoost algorithm to construct different classifiers, including binary classification and multiclass classification. The accuracy of these classifiers with the best input patterns is larger than 90.0 per cent. Finally, all selected sources in the BASS DR3 catalogue are classified by these classifiers. The classification label and probabilities for individual sources are assigned by different classifiers. When the predicted results by binary classification are the same as multiclass classification with optical and infrared information, the number of star, galaxy, and quasar candidates is separately 12 375 838 (P_S_ > 0.95), 18 606 073 (P_G_ > 0.95), and 798 928 (P_Q_ > 0.95). For these sources without infrared information, the predicted results can be as a reference. Those candidates may be taken as input catalogue of LAMOST, DESI (Dark Energy Spectroscopic Instrument), or other projects for follow-up observation. The classified result will be of great help and reference for future research of the BASS DR3 sources.2021MNRAS.506.1651Lhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/506/1651CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toVII/28 : Southern Groups and Clusters of Galaxies (Duus, Newell 1977)V/164 : LAMOST DR5 catalogs (Luo+, 2019)II/328 : AllWISE Data Release (Cutri+ 2013)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/506/1651https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/506/1651http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/506/1651https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/506/1651https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/506/1651http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/506/1651GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/506/1651/bass_dr3 (Photometric and classifications data results of BASS DR3 sources (110896599 sources))https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/506/1651/bass_dr3?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/506/1651/bass_dr3?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/506/1651/bass_dr3?GETtext/xml+votable180.050000true89.99272813462256.2486992079990.0055555555555555560/https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/506/1651?format=asciiOpticalInfrareddefaultJ/MNRAS/506/1651/bass_dr3Photometric and classifications data results of BASS DR3 sources (110896599 sources)BASSBASS identifier number (id)meta.id;meta.mainindexedRAJ2000Right ascension (J2000) (ra)degpos.eq.ra;meta.mainDEJ2000Declination (J2000) (dec)degpos.eq.dec;meta.maingmagIsoApparent AB magnitude in g-band measured with isophotal aperture (mag_iso_g)magphot.mag;em.opt.Bdoublee_gmagIsoMean error on gmagIso (mag_err_iso_g)magstat.errordoublegmagKronApparent AB magnitude in g-band measured with the Kron aperture (mag_kron_g) (1)magphot.mag;em.opt.Bdoublee_gmagKronMean error on gmagKron (mag_err_kron_g)magstat.errordoublegmagApparent AB magnitude in g-band measured by fitting a point spread function (mag_psf_g) (2)magphot.mag;em.opt.Bdoublee_gmagMean error on gmag (mag_err_psf_g)magstat.error;phot.magdoublermagIsoApparent AB magnitude in r-band measured with isophotal aperture (mag_iso_r)magphot.mag;em.opt.Rdoublee_rmagIsoMean error on rmagIso (mag_err_iso_r)magstat.errordoublermagKronApparent AB magnitude in r-band measured with the Kron aperture (mag_kron_r) (1)magphot.mag;em.opt.Rdoublee_rmagKronMean error on rmagKron (mag_err_kron_r)magstat.errordoublermagApparent AB magnitude in r-band measured by fitting a point spread function (mag_psf_r) (2)magphot.mag;em.opt.Rdoublee_rmagMean error on rmag (mag_err_psf_r)magstat.error;phot.magdoublezmagIsoApparent AB magnitude in z-band measured with isophotal aperture (mag_iso_z)magphot.mag;em.opt.Idoublee_zmagIsoMean error on zmagIso (mag_err_iso_z)magstat.errordoublezmagKronApparent AB magnitude in z-band measured with the Kron aperture (mag_kron_z) (1)magphot.mag;em.opt.Idoublee_zmagKronMean error on zmagKron (mag_err_kron_z)magstat.errordoublezmagApparent AB magnitude in z-band measured by fitting a point spread function (mag_psf_z) (2)magphot.mag;em.opt.Idoublee_zmagMean error on zmag (mag_err_psf_z)magstat.error;phot.magdoubleType[0/1] Combined star/galaxy separation based on the Kron and PSF magnitude difference for all bands, 1 for star, 0 for galaxy (Type)src.class.starGalaxyintTypeannStar/galaxy separation based on ANN (Artificial Neural Networks, e.g Li et al. 2006PABei..24..285L), >0.5 for star, <0.5 for galaxy (Type_ann)pos.angDistancedoublermagcorApparent AB magnitude extinction-corrected in r-band measured by fitting a point spread function (rMag) (3)magphot.mag;em.opt.RdoublegmagcorApparent AB magnitude extinction-corrected in g-band measured by fitting a point spread function (gMag) (3)magphot.mag;em.opt.BdoublezmagcorApparent AB magnitude extinction-corrected in z-band measured by fitting a point spread function (zMag) (3)magphot.mag;em.opt.IdoubleClassb[0/2] The classification label fir the first b1 and the second b2 classifier (CLASS_b) (4)meta.code.classintPb2? The classification probability for the second classifier (P_b2) (6)stat.fit.goodnessdoublenullableClassm[0/2] The classification label for the third m classifier (CLASS_m) (4)meta.code.classintPmThe classification probability for the third classifier (P_m) (7)stat.fit.goodnessdoublePb1The classification probability for the first classifier (P_b1) (5)stat.fit.goodnessdoubleClassbi? [0/2] The classification label for the fourth classifier (CLASS_bi) (4)meta.code.classintnullablePbi2? The classification probability for the fifth classifier (P_bi2) (9)stat.fit.goodnessdoublenullableClassmi? [0/2] The classification label for the sixth classfier (CLASS_mi) (4)meta.code.classintnullablePmi? The classification probability for the sixth classfier (P_mi) (10)stat.fit.goodnessdoublenullablePbi1? The classification probability for the fourth classfier (P_bi1) (8)stat.fit.goodnessdoublenullable