A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets

Detalhes bibliográficos
Autor(a) principal: Klein, Matthias
Data de Publicação: 2018
Outros Autores: Santiago, Basilio Xavier, DES Collaboration
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/178139
Resumo: We describe a multicomponent matched filter (MCMF) cluster confirmation tool designed for the study of large X-ray source catalogues produced by the upcoming X-ray all-sky survey mission eROSITA. We apply the method to confirm a sample of 88 clusters with redshifts 0.05 < z < 0.8 in the recently published 2RXS catalogue from the ROSAT All-Sky Survey (RASS) over the 208 deg2 region overlapped by the Dark Energy Survey (DES) Science Verification (DES-SV) data set. In our pilot study, we examine all X-ray sources, regardless of their extent. Our method employs a multicolour red sequence (RS) algorithm that incorporates the X-ray count rate and peak position in determining the region of interest for follow-up and extracts the positionally and colour-weighted optical richness λMCMF as a function of redshift for each source. Peaks in the λMCMF–redshift distribution are identified and used to extract photometric redshifts, richness and uncertainties. The significances of all optical counterparts are characterized using the distribution of richnesses defined along random lines of sight. These significances are used to extract cluster catalogues and to estimate the contamination by random superpositions of unassociated optical systems. The delivered photometric redshift accuracy is δz/(1 + z) = 0.010. We find a well-defined X-ray luminosity–λMCMF relation with an intrinsic scatter of δln (λMCMF|Lx) = 0.21. Matching our catalogue with the DES-SV redMaPPer catalogue yields good agreement in redshift and richness estimates; comparing our catalogue with the South Pole Telescope (SPT) selected clusters shows no inconsistencies. SPT clusters in our data set are consistent with the high-mass extension of the RASS-based λMCMF–mass relation.
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spelling Klein, MatthiasSantiago, Basilio XavierDES Collaboration2018-05-11T02:33:43Z20180035-8711http://hdl.handle.net/10183/178139001062399We describe a multicomponent matched filter (MCMF) cluster confirmation tool designed for the study of large X-ray source catalogues produced by the upcoming X-ray all-sky survey mission eROSITA. We apply the method to confirm a sample of 88 clusters with redshifts 0.05 < z < 0.8 in the recently published 2RXS catalogue from the ROSAT All-Sky Survey (RASS) over the 208 deg2 region overlapped by the Dark Energy Survey (DES) Science Verification (DES-SV) data set. In our pilot study, we examine all X-ray sources, regardless of their extent. Our method employs a multicolour red sequence (RS) algorithm that incorporates the X-ray count rate and peak position in determining the region of interest for follow-up and extracts the positionally and colour-weighted optical richness λMCMF as a function of redshift for each source. Peaks in the λMCMF–redshift distribution are identified and used to extract photometric redshifts, richness and uncertainties. The significances of all optical counterparts are characterized using the distribution of richnesses defined along random lines of sight. These significances are used to extract cluster catalogues and to estimate the contamination by random superpositions of unassociated optical systems. The delivered photometric redshift accuracy is δz/(1 + z) = 0.010. We find a well-defined X-ray luminosity–λMCMF relation with an intrinsic scatter of δln (λMCMF|Lx) = 0.21. Matching our catalogue with the DES-SV redMaPPer catalogue yields good agreement in redshift and richness estimates; comparing our catalogue with the South Pole Telescope (SPT) selected clusters shows no inconsistencies. SPT clusters in our data set are consistent with the high-mass extension of the RASS-based λMCMF–mass relation.application/pdfengMonthly notices of the royal astronomical society. Oxford. Vol. 474, no. 3 (Mar. 2018), p. 3324-3343Aglomerados de galaxiasDeslocamento para o vermelhoCatalogos astronomicosFotometria astronômicaGalaxies: clusters: generalGalaxies: clusters: intracluster mediumGalaxies: distances and redshiftsX-rays: galaxies: clustersA multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data setsEstrangeiroinfo: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:UFRGSORIGINAL001062399.pdf001062399.pdfTexto completo (inglês)application/pdf4850217http://www.lume.ufrgs.br/bitstream/10183/178139/1/001062399.pdffbb4f5e513410129f7bb5567f4f1aea8MD51TEXT001062399.pdf.txt001062399.pdf.txtExtracted Texttext/plain111160http://www.lume.ufrgs.br/bitstream/10183/178139/2/001062399.pdf.txte289ddd418daafc8a0bdf7e5138be34cMD5210183/1781392023-07-02 03:42:15.531012oai:www.lume.ufrgs.br:10183/178139Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2023-07-02T06:42:15Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
title A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
spellingShingle A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
Klein, Matthias
Aglomerados de galaxias
Deslocamento para o vermelho
Catalogos astronomicos
Fotometria astronômica
Galaxies: clusters: general
Galaxies: clusters: intracluster medium
Galaxies: distances and redshifts
X-rays: galaxies: clusters
title_short A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
title_full A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
title_fullStr A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
title_full_unstemmed A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
title_sort A multicomponent matched filter cluster confirmation tool for eROSITA : initial application to the RASS and DES-SV data sets
author Klein, Matthias
author_facet Klein, Matthias
Santiago, Basilio Xavier
DES Collaboration
author_role author
author2 Santiago, Basilio Xavier
DES Collaboration
author2_role author
author
dc.contributor.author.fl_str_mv Klein, Matthias
Santiago, Basilio Xavier
DES Collaboration
dc.subject.por.fl_str_mv Aglomerados de galaxias
Deslocamento para o vermelho
Catalogos astronomicos
Fotometria astronômica
topic Aglomerados de galaxias
Deslocamento para o vermelho
Catalogos astronomicos
Fotometria astronômica
Galaxies: clusters: general
Galaxies: clusters: intracluster medium
Galaxies: distances and redshifts
X-rays: galaxies: clusters
dc.subject.eng.fl_str_mv Galaxies: clusters: general
Galaxies: clusters: intracluster medium
Galaxies: distances and redshifts
X-rays: galaxies: clusters
description We describe a multicomponent matched filter (MCMF) cluster confirmation tool designed for the study of large X-ray source catalogues produced by the upcoming X-ray all-sky survey mission eROSITA. We apply the method to confirm a sample of 88 clusters with redshifts 0.05 < z < 0.8 in the recently published 2RXS catalogue from the ROSAT All-Sky Survey (RASS) over the 208 deg2 region overlapped by the Dark Energy Survey (DES) Science Verification (DES-SV) data set. In our pilot study, we examine all X-ray sources, regardless of their extent. Our method employs a multicolour red sequence (RS) algorithm that incorporates the X-ray count rate and peak position in determining the region of interest for follow-up and extracts the positionally and colour-weighted optical richness λMCMF as a function of redshift for each source. Peaks in the λMCMF–redshift distribution are identified and used to extract photometric redshifts, richness and uncertainties. The significances of all optical counterparts are characterized using the distribution of richnesses defined along random lines of sight. These significances are used to extract cluster catalogues and to estimate the contamination by random superpositions of unassociated optical systems. The delivered photometric redshift accuracy is δz/(1 + z) = 0.010. We find a well-defined X-ray luminosity–λMCMF relation with an intrinsic scatter of δln (λMCMF|Lx) = 0.21. Matching our catalogue with the DES-SV redMaPPer catalogue yields good agreement in redshift and richness estimates; comparing our catalogue with the South Pole Telescope (SPT) selected clusters shows no inconsistencies. SPT clusters in our data set are consistent with the high-mass extension of the RASS-based λMCMF–mass relation.
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-05-11T02:33:43Z
dc.date.issued.fl_str_mv 2018
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dc.identifier.nrb.pt_BR.fl_str_mv 001062399
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dc.relation.ispartof.pt_BR.fl_str_mv Monthly notices of the royal astronomical society. Oxford. Vol. 474, no. 3 (Mar. 2018), p. 3324-3343
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