J/A+A/691/A144ivo://CDS.VizieR/J/A+A/691/A144doi:10.26093/cds/vizier.36910144CDSMolina-Jorquera F.Damke G.Fernandez-Olivares D.Jaque-Arancibia M.,Almeida-Fernandes F.Daflon S.Schoenell W.Ribeiro T.Kanaan A.,Torres-Flores S.Mendes de Oliveira C.2025-02-27T20:01:59Z2024-11-08T08:54:59ZCDS support team

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

cds-question@unistra.frgiant-starsinfrared-photometryvisible-astronomymetallicityThe aim of this study is to obtain metallicities of red giant stars from the Southern Photometric Local Universe Survey (S-PLUS) and to classify giant and dwarf stars using Artificial Neural Networks applied to the S-PLUS photometry. We combined the five broadband and the seven narrowband filters of S-PLUS 'especially centred on prominent stellar spectral features' to train Machine Learning algorithms. The training catalogue consists of the cross-matching between the S-PLUS and Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) survey catalogues. The classification neural network uses the colours (J0378-u), (J0395-g), (J0410-g), (J0515-g), (J0660-r), (g-z), (r-i) as input features, whereas the network for metallicities uses the (J0378-u), (J0395-g), (J0410-g), (J0515-g), (J0660-r), (u-g) and (r-z) colours as input features. The resulting network is capable of identify ~99% of the giants in the test set. The network for determining the photometric metallicities of giant stars estimates metallicities in the test set a with a standard deviation of {sigma}_giants ~0.07dex with respect to the spectroscopic values. Finally, we used the trained Artificial Neural Networks to generate a publicly available catalogue of 523426 stars classified as red giant stars from S-PLUS, which we use to explore metallicity gradients in the Milky Way.2024A&A...691A.144Mhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/691/A144CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toIII/286 : APOGEE-2 DR17 final allStar catalog (Abdurro'uf+, 2022)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/691/A144https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/691/A144http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/691/A144https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/691/A144https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/691/A144http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/691/A144GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/691/A144/catalog (Source catalog with derived metallicities)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/691/A144/catalog?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/691/A144/catalog?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/691/A144/catalog?GETtext/xml+votable180.050000true192.377-16.92890.0055555555555555563/604 4/1113 1173-1174 1178 1189-1190 1193-1194 1565 1571-1572 1576-1578 1603-1604 1606-1607 1642 1664 1675 1685 1877-1878 2161-2162 2232 2383 2394-2395 2404-2405 2407 2420 2422-2425 2427-2429 2431 2517 2519 2922 3009 3014 3021 5/3072 4116-4118 4121-4122 4131 4136-4137 4351 4415 4437-4442 4444 4457-4460 4501-4502 4505-4506 4508 4517-4518 4521-4523 4544 4671 4687 4691 4707-4710 4716 4749-4751 4754-4755 4764 4771 4780 4784 4864 5775 5784 5786-5787 5796-5798 5801-5802 6203-6204 6206-6207 6235 6238 6257 6265-6267 6277-6279 6282-6283 6292-6294 6296-6298 6316 6318 6320 6336 6341 6370 6397-6399 6405-6407 6409-6411 6432-6433 6436-6437 6448-6449 6453 6455 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38621 38623 38738 38750 38817 38828-38829 38892-38894 40208-40209 40221 40264-40265 40267 40289 40300-40301 40303 40401 40412-40413 44235 44238 44256-44257 44259-44260 44262-44263 44269 44274-44275 44286 44551 44562-44563 44568-44570 44624-44625 44733-44735 44780 44782 45846-45847 45852-45854 45873 45875-45878 45890 46022-46023 46025 46028-46029 46031 46041-46044 46046-46047 46055 46073 46139 46184 46228 46270-46271 46426-46427 46437 46448 46520 46539 46564 46583 46589-46591 46609 46612 46636-46637 46639 46642 46650 46724-46725 46736 46780 46782 46839 46843-46844 46846-46847 46903 46925-46927 46936-46938 46940-46942 46945-46947 46956-46957 46960 46962 46989-46991 47001-47003 47013 47016-47018 47032-47033 47035 47040-47042 47047-47048 47050 47053 47058-47059 47064-47066 47078 47086 47445 48128-48129 48131 48137 48165 48185 48193-48196 48198-48199 48209-48211 48220-48222 48246-48247 48277 48357 48368-48369 48371 48377 48380-48382 48384 48386 48403 48429 48434-48435 48438-48442 48444-48445 48448-48450 48546 49147https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/691/A144?format=asciiOpticalInfrareddefaultJ/A+A/691/A144/catalogSource catalog with derived metallicitiesg-iDereddened colour index in g-imagphot.color;em.opt.B;em.opt.Ifloatg-zDereddened colour index in g-zmagphot.colorfloatr-iDereddened colour index in r-imagphot.colorfloatr-zDereddened colour index in r-zmagphot.colorfloati-zDereddened colour index in i-zmagphot.color;em.opt.I;em.opt.IfloatPgiantProbability that star is a giant from Neural Network classifierstat.fit.goodnessfloat[M/H]Value of [M/H] derived by Neural Network regressorphys.abund.ZfloatF430-gDereddened colour index in F430-gmagphot.color;em.opt;em.IRfloatF515-gDereddened colour index in F515-gmagphot.color;em.opt;em.IRfloatF660-rDereddened colour index in F660-rmagphot.color;em.opt;em.IRfloatF861-zDereddened colour index in F861-zmagphot.color;em.opt;em.IRfloatu-gDereddened colour index in u-gmagphot.color;em.opt.U;em.opt.Bfloatu-rDereddened colour index in u-rmagphot.color;em.opt.U;em.opt.Rfloatu-iDereddened colour index in u-imagphot.colorfloatu-zDereddened colour index in u-zmagphot.colorfloatg-rDereddened colour index in g-rmagphot.colorfloatrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintRAJ2000Right Ascension (J2000.0) (1)degpos.eq.ra;meta.mainindexedDEJ2000Declination (J2000.0) (1)degpos.eq.dec;meta.mainindexedE(B-V)S11Color excess (2)magphot.color.excessfloatumagDereddened S-PLUS AB u magnitudemagphot.mag;em.opt.Ufloate_umagUncertainty in u magnitude (1)magstat.error;phot.magfloatF378magDereddened S-PLUS AB F378 magnitudemagphot.mag;em.optfloate_F378magUncertainty in F378 magnitude (1)magstat.error;phot.magfloatF395magDereddened S-PLUS AB F395 magnitudemagphot.mag;em.optfloate_F395magUncertainty in F395 magnitude (1)magstat.error;phot.magfloatF410magDereddened S-PLUS AB F410 magnitudemagphot.mag;em.optfloate_F410magUncertainty in F410 magnitude (1)magstat.error;phot.magfloatF430magDereddened S-PLUS AB F430 magnitudemagphot.mag;em.optfloate_F430magUncertainty in F430 magnitude (1)magstat.error;phot.magfloatgmagDereddened S-PLUS AB g magnitudemagphot.mag;em.opt.Bfloate_gmagUncertainty in g magnitude (1)magstat.error;phot.magfloatF515magDereddened S-PLUS AB F515 magnitudemagphot.mag;em.optfloate_F515magUncertainty in F515 magnitude (1)magstat.error;phot.magfloatrmagDereddened S-PLUS AB r magnitudemagphot.mag;em.opt.Rfloate_rmagUncertainty in r magnitude (1)magstat.error;phot.magfloatF660magDereddened S-PLUS AB F660 magnitudemagphot.mag;em.optfloate_F660magUncertainty in F660 magnitude (1)magstat.error;phot.magfloatimagDereddened S-PLUS AB i magnitudemagphot.mag;em.opt.Ifloate_imagUncertainty in i magnitude (1)magstat.error;phot.magfloatF861magDereddened S-PLUS AB F861 magnitudemagphot.mag;em.optfloate_F861magUncertainty in F861 magnitude (1)magstat.error;phot.magfloatzmagDereddened S-PLUS AB z magnitudemagphot.mag;em.opt.Ifloate_zmagUncertainty in z magnitude (1)magstat.error;phot.magfloatF378-uDereddened colour index in F378-umagphot.color;em.opt;em.IRfloatF395-gDereddened colour index in F395-gmagphot.color;em.opt;em.IRfloatF410-gDereddened colour index in F410-gmagphot.color;em.opt;em.IRfloat