J/A+A/658/A51ivo://CDS.VizieR/J/A+A/658/A51doi:10.26093/cds/vizier.36580051CDSWang S.Chen B.Ma J.Long Q.Yuan H.Liu D.Zhou Z.Liu W.Chen J.,He Z.2022-10-12T08:47:41Z2022-02-01T08:38:14ZCDS support team

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

cds-question@unistra.frgalaxiesstellar-associationsphotometryvisible-astronomyIdentification of new star cluster candidates in M 31 is fundamental for the study of the M 31 stellar cluster system. The machine-learning method convolutional neural network (CNN) is an efficient algorithm for searching for new M 31 star cluster candidates from tens of millions of images from wide-field photometric surveys. We search for new M 31 cluster candidates from the high-quality g- and i-band images of 21 245 632 sources obtained from the Pan-Andromeda Archaeological Survey (PAndAS) through a CNN. We collected confirmed M 31 clusters and noncluster objects from the literature as our training sample. Accurate double-channel CNNs were constructed and trained using the training samples. We applied the CNN classification models to the PAndAS g- and i-band images of over 21 million sources to search new M 31 cluster candidates. The CNN predictions were finally checked by five experienced human inspectors to obtain high-confidence M 31 star cluster candidates. After the inspection, we identified a catalogue of 117 new M 31 cluster candidates. Most of the new candidates are young clusters that are located in the M 31 disk. Their morphology, colours, and magnitudes are similar to those of the confirmed young disk clusters. We also identified eight globular cluster candidates that are located in the M 31 halo and exhibit features similar to those of confirmed halo globular clusters. The projected distances to the M 31 centre for three of them are larger than 100kpc.2022A&A...658A..51Whttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/658/A51CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/658/A51https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/658/A51http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/658/A51https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/658/A51https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/658/A51http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/658/A51GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/658/A51/table2 (Cluster names, positions and parameters)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/658/A51/table2?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/658/A51/table2?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/658/A51/table2?GETtext/xml+votable180.050000true3.7748166736.4606250.0055555555555555566/2206-2207 2229 2606 2619 2622-2623 2657 2666-2668 2704-2705 2708-2709 2752 20439https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/658/A51?format=asciiOpticaldefaultJ/A+A/658/A51/table2Cluster names, positions and parametersrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNameName of the star cluster candidate, CandidateNNNmeta.id;meta.maincharRAJ2000Right Ascension (J2000)pos.eq.ra;meta.mainDEJ2000Declination (J2000)pos.eq.dec;meta.maingmagg-band magnitudemagphot.mag;em.opt.Bfloatimagi-band magnitudemagphot.mag;em.opt.IfloatRprojProjected radii from the M31 centrekpcpos.distancefloatellEllipticitysrc.ellipticityfloatPA[] Position angledegpos.posAngfloatScoreSummed scores by visual inspectorsstat.fit.paramint