J-PLUS : morphological star/galaxy classification by PDF analysis
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/10183/211828 |
Resumo: | Aims. Our goal is to morphologically classify the sources identified in the images of the J-PLUS early data release (EDR) as compact (stars) or extended (galaxies) using a dedicated Bayesian classifier. Methods. J-PLUS sources exhibit two distinct populations in the r-band magnitude versus concentration plane, corresponding to compact and extended sources. We modelled the two-population distribution with a skewed Gaussian for compact objects and a log-normal function for the extended objects. The derived model and the number density prior based on J-PLUS EDR data were used to estimate the Bayesian probability that a source is a star or a galaxy. This procedure was applied pointing-by-pointing to account for varying observing conditions and sky positions. Finally, we combined the morphological information from the g, r, and i broad bands in order to improve the classification of low signal-to-noise sources. Results. The derived probabilities are used to compute the pointing-by-pointing number counts of stars and galaxies. The former increases as we approach the Milky Way disk, and the latter are similar across the probed area. The comparison with SDSS in the common regions is satisfactory up to r ~ 21, with consistent numbers of stars and galaxies, and consistent distributions in concentration and (g−i) colour spaces. Conclusions. We implement a morphological star/galaxy classifier based on probability distribution function analysis, providing meaningful probabilities for J-PLUS sources to one magnitude deeper (r ~ 21) than a classical Boolean classification. These probabilities are suited for the statistical study of 150 thousand stars and 101 thousand galaxies with 15 < r ≤ 21 present in the 31.7 deg2 of the J-PLUS EDR. In a future version of the classifier, we will include J-PLUS colour information from 12 photometric bands. |
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López San Juan, CarlosChies-Santos, Ana LeonorSodre Junior, Laerte2020-07-11T03:53:23Z20190004-6361http://hdl.handle.net/10183/211828001115677Aims. Our goal is to morphologically classify the sources identified in the images of the J-PLUS early data release (EDR) as compact (stars) or extended (galaxies) using a dedicated Bayesian classifier. Methods. J-PLUS sources exhibit two distinct populations in the r-band magnitude versus concentration plane, corresponding to compact and extended sources. We modelled the two-population distribution with a skewed Gaussian for compact objects and a log-normal function for the extended objects. The derived model and the number density prior based on J-PLUS EDR data were used to estimate the Bayesian probability that a source is a star or a galaxy. This procedure was applied pointing-by-pointing to account for varying observing conditions and sky positions. Finally, we combined the morphological information from the g, r, and i broad bands in order to improve the classification of low signal-to-noise sources. Results. The derived probabilities are used to compute the pointing-by-pointing number counts of stars and galaxies. The former increases as we approach the Milky Way disk, and the latter are similar across the probed area. The comparison with SDSS in the common regions is satisfactory up to r ~ 21, with consistent numbers of stars and galaxies, and consistent distributions in concentration and (g−i) colour spaces. Conclusions. We implement a morphological star/galaxy classifier based on probability distribution function analysis, providing meaningful probabilities for J-PLUS sources to one magnitude deeper (r ~ 21) than a classical Boolean classification. These probabilities are suited for the statistical study of 150 thousand stars and 101 thousand galaxies with 15 < r ≤ 21 present in the 31.7 deg2 of the J-PLUS EDR. In a future version of the classifier, we will include J-PLUS colour information from 12 photometric bands.application/pdfengAstronomy and astrophysics. Les Ulis. Vol. 622 (Feb. 2019), A177, 14 p.Fotometria astronômicaPopulacoes estelaresAnálise estatísticaMethods: data analysisGalaxy: stellar contentGalaxies: statisticsJ-PLUS : morphological star/galaxy classification by PDF analysisEstrangeiroinfo: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:UFRGSTEXT001115677.pdf.txt001115677.pdf.txtExtracted Texttext/plain68197http://www.lume.ufrgs.br/bitstream/10183/211828/2/001115677.pdf.txtd29299efd1babcca8bc1c72cb13ce783MD52ORIGINAL001115677.pdfTexto completo (inglês)application/pdf4227608http://www.lume.ufrgs.br/bitstream/10183/211828/1/001115677.pdf031f99ced19c86eb8c114d7e5740348cMD5110183/2118282020-07-12 03:42:12.020588oai:www.lume.ufrgs.br:10183/211828Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2020-07-12T06:42:12Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
J-PLUS : morphological star/galaxy classification by PDF analysis |
title |
J-PLUS : morphological star/galaxy classification by PDF analysis |
spellingShingle |
J-PLUS : morphological star/galaxy classification by PDF analysis López San Juan, Carlos Fotometria astronômica Populacoes estelares Análise estatística Methods: data analysis Galaxy: stellar content Galaxies: statistics |
title_short |
J-PLUS : morphological star/galaxy classification by PDF analysis |
title_full |
J-PLUS : morphological star/galaxy classification by PDF analysis |
title_fullStr |
J-PLUS : morphological star/galaxy classification by PDF analysis |
title_full_unstemmed |
J-PLUS : morphological star/galaxy classification by PDF analysis |
title_sort |
J-PLUS : morphological star/galaxy classification by PDF analysis |
author |
López San Juan, Carlos |
author_facet |
López San Juan, Carlos Chies-Santos, Ana Leonor Sodre Junior, Laerte |
author_role |
author |
author2 |
Chies-Santos, Ana Leonor Sodre Junior, Laerte |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
López San Juan, Carlos Chies-Santos, Ana Leonor Sodre Junior, Laerte |
dc.subject.por.fl_str_mv |
Fotometria astronômica Populacoes estelares Análise estatística |
topic |
Fotometria astronômica Populacoes estelares Análise estatística Methods: data analysis Galaxy: stellar content Galaxies: statistics |
dc.subject.eng.fl_str_mv |
Methods: data analysis Galaxy: stellar content Galaxies: statistics |
description |
Aims. Our goal is to morphologically classify the sources identified in the images of the J-PLUS early data release (EDR) as compact (stars) or extended (galaxies) using a dedicated Bayesian classifier. Methods. J-PLUS sources exhibit two distinct populations in the r-band magnitude versus concentration plane, corresponding to compact and extended sources. We modelled the two-population distribution with a skewed Gaussian for compact objects and a log-normal function for the extended objects. The derived model and the number density prior based on J-PLUS EDR data were used to estimate the Bayesian probability that a source is a star or a galaxy. This procedure was applied pointing-by-pointing to account for varying observing conditions and sky positions. Finally, we combined the morphological information from the g, r, and i broad bands in order to improve the classification of low signal-to-noise sources. Results. The derived probabilities are used to compute the pointing-by-pointing number counts of stars and galaxies. The former increases as we approach the Milky Way disk, and the latter are similar across the probed area. The comparison with SDSS in the common regions is satisfactory up to r ~ 21, with consistent numbers of stars and galaxies, and consistent distributions in concentration and (g−i) colour spaces. Conclusions. We implement a morphological star/galaxy classifier based on probability distribution function analysis, providing meaningful probabilities for J-PLUS sources to one magnitude deeper (r ~ 21) than a classical Boolean classification. These probabilities are suited for the statistical study of 150 thousand stars and 101 thousand galaxies with 15 < r ≤ 21 present in the 31.7 deg2 of the J-PLUS EDR. In a future version of the classifier, we will include J-PLUS colour information from 12 photometric bands. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-07-11T03:53:23Z |
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001115677 |
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http://hdl.handle.net/10183/211828 |
dc.language.iso.fl_str_mv |
eng |
language |
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dc.relation.ispartof.pt_BR.fl_str_mv |
Astronomy and astrophysics. Les Ulis. Vol. 622 (Feb. 2019), A177, 14 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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