J/MNRAS/502/5147ivo://CDS.VizieR/J/MNRAS/502/5147doi:10.26093/cds/vizier/bg-fp-50vCDSMalanchev K.L.Pruzhinskaya M.V.Korolev V.S.Aleo P.D.Kornilov M.V.,Ishida E.E.O.Krushinsky V.V.Mondon F.Sreejith S.Volnova A.A.,Belinski A.A.Dodin A.V.Tatarnikov A.M.Zheltoukhov S.G.,(The SNAD Team)2026-08-03T07:31:11Z2023-11-16T10:45:35ZCDS support team

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

cds-question@unistra.frvariable-starsstellar-distancevisible-astronomyWe present results from applying the SNAD anomaly detection pipeline to the third public data release of the Zwicky Transient Facility (ZTF DR3). The pipeline is composed of three stages: feature extraction, search of outliers with machine learning algorithms, and anomaly identification with followup by human experts. Our analysis concentrates in three ZTF fields, comprising more than 2.25 million objects. A set of four automatic learning algorithms was used to identify 277 outliers, which were subsequently scrutinized by an expert. From these, 188 (68 per cent) were found to be bogus light curves - including effects from the image subtraction pipeline as well as overlapping between a star and a known asteroid, 66 (24 per cent) were previously reported sources whereas 23 (8 per cent) correspond to non-catalogued objects, with the two latter cases of potential scientific interest (e.g. one spectroscopically confirmed RS Canum Venaticorum star, four supernovae candidates, one red dwarf flare). Moreover, using results from the expert analysis, we were able to identify a simple bi-dimensional relation that can be used to aid filtering potentially bogus light curves in future studies. We provide a complete list of objects with potential scientific application so they can be further scrutinised by the community. These results confirm the importance of combining automatic machine learning algorithms with domain knowledge in the construction of recommendation systems for astronomy. Our code is publicly available.2021MNRAS.502.5147Mhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/502/5147CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/502/5147https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/502/5147http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/502/5147https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/502/5147https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/502/5147http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/502/5147GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/502/5147/tabled1 (A complete list of anomaly candidates in the M 31, deep, and disk fields)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/502/5147/tabled1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/502/5147/tabled1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/502/5147/tabled1?GETtext/xml+votable180.050000true11.3538842.124270.0055555555555555566/2623 2666 2708-2709 2940-2941 2943 3025 3027-3030 3036-3037 3618-3620 3625 3627-3628 3630 3633-3635 3638 3642-3643 3646-3647 3715-3717 3720-3721 3724-3725 3727 3729 3731 3736 9975 10119 10126 10129 10132 10134 10139 10142 10144 10158-10160 10165-10167 10171https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/502/5147?format=asciiOpticaldefaultJ/MNRAS/502/5147/tabled1A complete list of anomaly candidates in the M 31, deep, and disk fieldsrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintFieldField name (M 31, Deep or Disk)obs.fieldcharIDZTF DR3 object identifiermeta.id;meta.mainONameAlternative namemeta.idcharRAJ2000Right ascension (J2000)degpos.eq.ra;meta.mainDEJ2000Declination (J2000)degpos.eq.dec;meta.mainrmagminMinimum value of the r-band magnitudemagphot.mag;em.opt.Rfloate_rmagminError on rmagminmagstat.errorfloatrmagmaxMaximum value of the r-band magnitudemagphot.mag;em.opt.Rfloate_rmagmaxError on rmagmaxmagstat.errorfloatE(B-V)Reddening E (B-V)magphot.color.excessfloatDistDistancepcpos.distancecharrMAGmax? Maximum value of the r-band absolute magnitudemagphys.magAbsfloatnullablel_P0Limit flag on P0meta.code.errorcharP0? Period (1)dtime.periodfloatnullableTypeObject type (2)src.classcharRefReferences (3)meta.refchar