Stellar atmospheric parameters and chemical abundances of ∼5 million stars from S-PLUS multiband photometry

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dc.article.numberA306
dc.catalogadorpau
dc.contributor.authorFerreira Lopes, C. E.
dc.contributor.authorGutierrez-Soto, L. A.
dc.contributor.authorS. Ferreira Alberice, V.
dc.contributor.authorMonsalves, N.
dc.contributor.authorHazarika, D.
dc.contributor.authorCatelan, Márcio
dc.contributor.authorPlacco, V. M.
dc.contributor.authorLimberg, G.
dc.contributor.authorAlmeida-Fernandes, F.
dc.contributor.authorPerottoni, H. D.
dc.contributor.authorSmith Castelli, A. V.
dc.contributor.authorAkras, S.
dc.contributor.authorAlonso-Garcia, J.
dc.contributor.authorCordeiro, V.
dc.contributor.authorJaque Arancibia, M.
dc.contributor.authorDaflon, S.
dc.contributor.authorDias, B.
dc.contributor.authorGoncalves, D. R.
dc.contributor.authorMachado-Pereira, E.
dc.contributor.authorLopes, A. R.
dc.contributor.authorBom, C. R.
dc.contributor.authorThom de Souza, R. C.
dc.contributor.authorde Isidio, N. G.
dc.contributor.authorAlvarez-Candal, A.
dc.contributor.authorDe Rossi, M. E.
dc.contributor.authorBonatto, C. J.
dc.contributor.authorCubillos Palma, B.
dc.contributor.authorBorges Fernandes, M.
dc.contributor.authorHumire, P. K.
dc.contributor.authorOliveira Schwarz, G. B.
dc.contributor.authorSchoenell, W.
dc.contributor.authorKanaan, A.
dc.contributor.authorMendes de Oliveira, C.
dc.date.accessioned2025-04-03T15:56:17Z
dc.date.available2025-04-03T15:56:17Z
dc.date.issued2025
dc.description.abstractContext. The APOGEE, GALAH, and LAMOST spectroscopic surveys have substantially contributed to our understanding of the Milky Way by providing a wide range of stellar parameters and chemical abundances. Complementing these efforts, photometric surveys that include narrowband and medium-band filters, such as Southern Photometric Local Universe Survey (S-PLUS), provide a unique opportunity to estimate the atmospheric parameters and elemental abundances for a much larger number of sources, compared to spectroscopic surveys., Aims. Our aim is to establish methodologies for extracting stellar atmospheric parameters and selected chemical abundances from S-PLUS photometric data, which cover approximately 3000 square degrees, by applying seven narrowband and five broadband filters., Methods. We used all 66 S-PLUS colors to estimate parameters based on three different training samples from the LAMOST, APOGEE, and GALAH surveys, applying cost-sensitive neural network (NN) and random forest (RF) algorithms. We kept the stellar abundances that lacked corresponding absorption features in the S-PLUS filters to test for spurious correlations in our method. Furthermore, we evaluated the effectiveness of the NN and RF algorithms by using estimated T-eff and log g values as the input features to determine other stellar parameters and abundances. The NN approach consistently outperforms the RF technique on all parameters tested. Moreover, incorporating T-eff and log g leads to an improvement in the estimation accuracy by approximately 3%. We kept only parameters with a goodness-of-fit higher than 50%., Results. Our methodology allowed us to obtain reliable estimates for fundamental stellar parameters (T-eff, log g, and [Fe/H]) and elemental abundance ratios such as [alpha/Fe], [Al/Fe], [C/Fe], [Li/Fe], and [Mg/Fe] for approximately five million stars across the Milky Way, with a goodness-of-fit above 60%. We also obtained additional abundance ratios, including [Cu/Fe], [O/Fe], and [Si/Fe]. However, these ratios should be used cautiously due to their low accuracy or lack of a clear relationship with the S-PLUS filters. Validation of our estimations and methods was performed using star clusters, Transiting Exoplanet Survey Satellite (TESS) data and Javalambre Photometric Local Universe Survey (J-PLUS) photometry, further demonstrating the robustness and accuracy of our approach., Conclusions. By leveraging S-PLUS photometric data and advanced machine learning techniques, we have established a robust framework for extracting fundamental stellar parameters and chemical abundances from medium-band and narrowband photometric observations. This approach offers a cost-effective alternative to high-resolution spectroscopy. The estimated parameters hold significant potential for future studies, particularly when classifying objects within our Milky Way or gaining insights into its various stellar populations.
dc.fuente.origenWOS
dc.identifier.doi10.1051/0004-6361/202451491
dc.identifier.eissn1432-0746
dc.identifier.issn0004-6361
dc.identifier.urihttps://doi.org/10.1051/0004-6361/202451491
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/103119
dc.identifier.wosidWOS:001408619100013
dc.information.autorucInstituto de Física; Catelan, Márcio; 0000-0001-6003-8877; 1001556
dc.language.isoen
dc.nota.accesocontenido completo
dc.publisherEDP SCIENCES S A
dc.revistaASTRONOMY & ASTROPHYSICS
dc.rightsacceso abierto
dc.rights.licenseCC BY 4.0 Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCatalogs
dc.subjectStars: abundances
dc.subjectGalaxy: abundances
dc.subject.ddc500
dc.subject.deweyCienciases_ES
dc.titleStellar atmospheric parameters and chemical abundances of ∼5 million stars from S-PLUS multiband photometry
dc.typeartículo
dc.volumen693
sipa.codpersvinculados1001556
sipa.trazabilidadWOS;2025-02-08
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