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

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dc.contributor.authorFerreira Lopes C.E.
dc.contributor.authorGutierrez-Soto L.A.
dc.contributor.authorFerreira Alberice V.S.
dc.contributor.authorMonsalves N.
dc.contributor.authorHazarika D.
dc.contributor.authorCatelan M.
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.authorde Souza R.C.T.
dc.contributor.authorde Isidio N.G.
dc.contributor.authorAlvarez-Candal A.
dc.contributor.authorDe Rossi M.E.
dc.contributor.authorBonatto C.J.
dc.contributor.authorPalma B.C.
dc.contributor.authorFernandes M.B.
dc.contributor.authorHumire P.K.
dc.contributor.authorSchwarz G.B.O.
dc.contributor.authorSchoenell W.
dc.contributor.authorKanaan A.
dc.contributor.authorde Oliveira C.M.
dc.date.accessioned2025-04-01T06:19:40Z
dc.date.available2025-04-01T06:19:40Z
dc.date.issued2025
dc.description.abstract© The Authors 2025.Context. 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 Teff 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 Teff 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 (Teff, log g, and [Fe/H]) and elemental abundance ratios such as [α/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.description.volume693
dc.identifier.doi10.1051/0004-6361/202451491
dc.identifier.issnNone
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/40374
dc.relation.ispartofAstronomy and Astrophysics
dc.rightsAcesso Aberto
dc.subject.otherlanguagecatalogs
dc.subject.otherlanguageGalaxy: abundances
dc.subject.otherlanguagestars: abundances
dc.titleStellar atmospheric parameters and chemical abundances of ∼5 million stars from S-PLUS multiband photometry
dc.typeArtigo
local.scopus.citations0
local.scopus.eid2-s2.0-85216863693
local.scopus.subjectAtmospheric parameters
local.scopus.subjectCatalog
local.scopus.subjectChemical abundance
local.scopus.subjectGalaxies abundances
local.scopus.subjectMilky ways
local.scopus.subjectNarrow bands
local.scopus.subjectPhotometrics
local.scopus.subjectStars abundances
local.scopus.subjectStellar parameters
local.scopus.subjectStellars
local.scopus.updated2025-04-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85216863693&origin=inward
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