J/MNRAS/483/529ivo://CDS.VizieR/J/MNRAS/483/529doi:10.26093/cds/vizier.74830529CDSCabayol L.Sevilla-Noarbe I.Fernandez E.Carretero J.Eriksen M.,Serrano S.Alarcon A.Amara A.Casas R.Castander F.J.de Vicente J.,Folger M.Garcia-Bellido J.Gaztanaga E.Hoekstra H.Miquel R.,Padilla C.Sanchez E.Stothert L.Tallada P.Tortorelli L.2024-08-19T20:16:15Z2022-08-10T13:47:17ZCDS support team

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

cds-question@unistra.frnarrow-band-photometryphotometryclassificationgalaxy-classification-systemsClassification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most of them relying on morphological information. In this paper, we tackle this issue using the low-resolution spectra from narrow-band photometry, provided by the Physics of the Accelerating Universe survey. We find that, with the photometric fluxes from the 40 narrow-band filters and without including morphological information, it is possible to separate stars and galaxies to very high precision, 98.4 per cent purity with a completeness of 98.8 per cent for objects brighter than I=22.5. This precision is obtained with a convolutional neural network as a classification algorithm, applied to the objects' spectra. We have also applied the method to the ALHAMBRA photometric survey and we provide an updated classification for its Gold sample.2019MNRAS.483..529Chttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/483/529CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/MNRAS/441/2891 : ALHAMBRA Survey (Molino+, 2014)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/483/529https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/483/529http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/483/529https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/483/529https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/483/529http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/483/529GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/483/529/tablea1 (The ALHAMBRA catalogue extension with CNN classification)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/483/529/tablea1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/483/529/tablea1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/483/529/tablea1?GETtext/xml+votable180.050000true214.627652.76940.0055555555555555565/2856 6814 6/5819 5822 7184-7185 10147 10150 10153 10155-10156 11227 11230 11249 11252 17766-17767 17772-17773 19691-19692 19694-19695 200362.0401237512456292e-19 2.706461185444514e-19https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/483/529?format=asciiOpticaldefaultJ/MNRAS/483/529/tablea1The ALHAMBRA catalogue extension with CNN classificationrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintIDALHAMBRA's unique object identifiermeta.id;meta.mainRAJ2000Right ascension (J2000)degpos.eq.ra;meta.mainindexedDEJ2000Declination (J2000)degpos.eq.dec;meta.mainindexedStarflagALHAMBRA's Statistical STAR/GALAXY Discriminator (0:Pure-Galaxy, 0.5:Unknown, 1:Pure-Star)stat.value;src.class.starGalaxyfloatF814WmagIsophotal magnitude (AB)magphot.mag;em.opt.Idoublee_F814Wmag[] Error on F814Wmagmagstat.errordoublecnnCNN star/galaxy discriminator probability (0:Pure-Galaxy,1:Pure-Star) (1)meta.iddouble