J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/214386 |
Resumo: | Context. We present a new methodology for the estimation of stellar atmospheric parameters from narrow- and intermediate-band photometry of the Javalambre Photometric Local Universe Survey (J-PLUS), and propose a method for target pre-selection of low-metallicity stars for follow-up spectroscopic studies. Photometric metallicity estimates for stars in the globular cluster M15 are determined using this method. Aims. By development of a neural-network-based photometry pipeline, we aim to produce estimates of effective temperature, Teff, and metallicity, [Fe/H], for a large subset of stars in the J-PLUS footprint. Methods. The Stellar Photometric Index Network Explorer, SPHINX, was developed to produce estimates of Teff and [Fe/H], after training on a combination of J-PLUS photometric inputs and synthetic magnitudes computed for medium-resolution (R ~ 2000) spectra of the Sloan Digital Sky Survey. This methodology was applied to J-PLUS photometry of the globular cluster M15. Results. Effective temperature estimates made with J-PLUS Early Data Release photometry exhibit low scatter, σ(Teff) = 91 K, over the temperature range 4500 < Teff (K) < 8500. For stars from the J-PLUS First Data Release with 4500 < Teff (K) < 6200, 85 ± 3% of stars known to have [Fe/H] < −2.0 are recovered by SPHINX. A mean metallicity of [Fe/H] = − 2.32 ± 0.01, with a residual spread of 0.3 dex, is determined for M15 using J-PLUS photometry of 664 likely cluster members. Conclusions. We confirm the performance of SPHINX within the ranges specified, and verify its utility as a stand-alone tool for photometric estimation of effective temperature and metallicity, and for pre-selection of metal-poor spectroscopic targets. |
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Whitten, DevinChies-Santos, Ana LeonorVázquez Ramió, Héctor2020-10-23T04:10:04Z20190004-6361http://hdl.handle.net/10183/214386001115786Context. We present a new methodology for the estimation of stellar atmospheric parameters from narrow- and intermediate-band photometry of the Javalambre Photometric Local Universe Survey (J-PLUS), and propose a method for target pre-selection of low-metallicity stars for follow-up spectroscopic studies. Photometric metallicity estimates for stars in the globular cluster M15 are determined using this method. Aims. By development of a neural-network-based photometry pipeline, we aim to produce estimates of effective temperature, Teff, and metallicity, [Fe/H], for a large subset of stars in the J-PLUS footprint. Methods. The Stellar Photometric Index Network Explorer, SPHINX, was developed to produce estimates of Teff and [Fe/H], after training on a combination of J-PLUS photometric inputs and synthetic magnitudes computed for medium-resolution (R ~ 2000) spectra of the Sloan Digital Sky Survey. This methodology was applied to J-PLUS photometry of the globular cluster M15. Results. Effective temperature estimates made with J-PLUS Early Data Release photometry exhibit low scatter, σ(Teff) = 91 K, over the temperature range 4500 < Teff (K) < 8500. For stars from the J-PLUS First Data Release with 4500 < Teff (K) < 6200, 85 ± 3% of stars known to have [Fe/H] < −2.0 are recovered by SPHINX. A mean metallicity of [Fe/H] = − 2.32 ± 0.01, with a residual spread of 0.3 dex, is determined for M15 using J-PLUS photometry of 664 likely cluster members. Conclusions. We confirm the performance of SPHINX within the ranges specified, and verify its utility as a stand-alone tool for photometric estimation of effective temperature and metallicity, and for pre-selection of metal-poor spectroscopic targets.application/pdfengAstronomy and astrophysics. Les Ulis. Vol. 622 (Feb. 2019), A182, 18 p.Fotometria astronômicaMetalicidadeStars: chemically peculiarStars: fundamental parametersStars: abundancesTechniques: photometricMethods: data analysisJ-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINXEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001115786.pdf.txt001115786.pdf.txtExtracted Texttext/plain94863http://www.lume.ufrgs.br/bitstream/10183/214386/2/001115786.pdf.txt1f2801331d7633094849063ad834c1c5MD52ORIGINAL001115786.pdfTexto completo (inglês)application/pdf6075896http://www.lume.ufrgs.br/bitstream/10183/214386/1/001115786.pdf7d11c36718772d6f3686f6ae9b5b87bbMD5110183/2143862020-10-24 04:12:35.181188oai:www.lume.ufrgs.br:10183/214386Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2020-10-24T07:12:35Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX |
title |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX |
spellingShingle |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX Whitten, Devin Fotometria astronômica Metalicidade Stars: chemically peculiar Stars: fundamental parameters Stars: abundances Techniques: photometric Methods: data analysis |
title_short |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX |
title_full |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX |
title_fullStr |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX |
title_full_unstemmed |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX |
title_sort |
J-PLUS : identification of low-metallicity stars with artificial neural networks using SPHINX |
author |
Whitten, Devin |
author_facet |
Whitten, Devin Chies-Santos, Ana Leonor Vázquez Ramió, Héctor |
author_role |
author |
author2 |
Chies-Santos, Ana Leonor Vázquez Ramió, Héctor |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Whitten, Devin Chies-Santos, Ana Leonor Vázquez Ramió, Héctor |
dc.subject.por.fl_str_mv |
Fotometria astronômica Metalicidade |
topic |
Fotometria astronômica Metalicidade Stars: chemically peculiar Stars: fundamental parameters Stars: abundances Techniques: photometric Methods: data analysis |
dc.subject.eng.fl_str_mv |
Stars: chemically peculiar Stars: fundamental parameters Stars: abundances Techniques: photometric Methods: data analysis |
description |
Context. We present a new methodology for the estimation of stellar atmospheric parameters from narrow- and intermediate-band photometry of the Javalambre Photometric Local Universe Survey (J-PLUS), and propose a method for target pre-selection of low-metallicity stars for follow-up spectroscopic studies. Photometric metallicity estimates for stars in the globular cluster M15 are determined using this method. Aims. By development of a neural-network-based photometry pipeline, we aim to produce estimates of effective temperature, Teff, and metallicity, [Fe/H], for a large subset of stars in the J-PLUS footprint. Methods. The Stellar Photometric Index Network Explorer, SPHINX, was developed to produce estimates of Teff and [Fe/H], after training on a combination of J-PLUS photometric inputs and synthetic magnitudes computed for medium-resolution (R ~ 2000) spectra of the Sloan Digital Sky Survey. This methodology was applied to J-PLUS photometry of the globular cluster M15. Results. Effective temperature estimates made with J-PLUS Early Data Release photometry exhibit low scatter, σ(Teff) = 91 K, over the temperature range 4500 < Teff (K) < 8500. For stars from the J-PLUS First Data Release with 4500 < Teff (K) < 6200, 85 ± 3% of stars known to have [Fe/H] < −2.0 are recovered by SPHINX. A mean metallicity of [Fe/H] = − 2.32 ± 0.01, with a residual spread of 0.3 dex, is determined for M15 using J-PLUS photometry of 664 likely cluster members. Conclusions. We confirm the performance of SPHINX within the ranges specified, and verify its utility as a stand-alone tool for photometric estimation of effective temperature and metallicity, and for pre-selection of metal-poor spectroscopic targets. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-10-23T04:10:04Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
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publishedVersion |
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http://hdl.handle.net/10183/214386 |
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0004-6361 |
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001115786 |
identifier_str_mv |
0004-6361 001115786 |
url |
http://hdl.handle.net/10183/214386 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Astronomy and astrophysics. Les Ulis. Vol. 622 (Feb. 2019), A182, 18 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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Repositório Institucional da UFRGS |
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