J-PLUS : morphological star/galaxy classification by PDF analysis

Detalhes bibliográficos
Autor(a) principal: López San Juan, Carlos
Data de Publicação: 2019
Outros Autores: Chies-Santos, Ana Leonor, Sodre Junior, Laerte
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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spelling 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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dc.relation.ispartof.pt_BR.fl_str_mv Astronomy and astrophysics. Les Ulis. Vol. 622 (Feb. 2019), A177, 14 p.
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