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

The DES Collaboration

doi:10.1093/mnras/stx2929

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

The DES Collaboration

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Abstract

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 λ_MCMF as a function of redshift for each source. Peaks in the λ_MCMF-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-λ_MCMF relation with an intrinsic scatter of δln (λ_MCMF|L_x) = 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 λ_MCMF-mass relation.

Original language	English
Pages (from-to)	3324-3343
Number of pages	20
Journal	Monthly Notices of the Royal Astronomical Society
Volume	474
Issue number	3
DOIs	https://doi.org/10.1093/mnras/stx2929
State	Published - Mar 1 2018

Funding

Funding for the DES Projects has been provided by the US Department of Energy, the US National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundac¸ão Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desen-volvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovac¸ão, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Ei-dgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. The DES data management system is supported by the National Science Foundation under Grant Number AST-1138766. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2012-39559, ESP2013-48274, FPA2013-47986, and Centro de Excelencia Severo Ochoa SEV-2012-0234. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Frame-work Programme (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We thank Th. Boller, M. Freyberg, and H. Brunner from the MPE High Energy Group for helpful conversations. We acknowledge the support of the Max Planck Gemeinschaft Faculty Fellowship programme and the High Energy Group at MPE. Further, we acknowledge the support of the DFG Cluster of Excellence 'Origin and Structure of the Universe', the Transregio programme TR33 'The Dark Universe', the Ludwig-Maximilians-Universität and the DLR supported Euclid development project. The data processing has been carried out on the computing facilities of the Computational Center for Particle and Astrophysics (C2PAP), located at the Leibniz Supercomputer Center (LRZ). Funding for the DES Projects has been provided by the US Department of Energy, the US National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology FacilitiesCouncil of theUnitedKingdom, theHigher Education Funding Council for England, the NationalCenter for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundaç ão Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciencia, Tecnologia e Inovaç ão, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions areArgonne NationalLaboratory, theUniversity of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgen össische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l'Espai (IEEC/CSIC), the Institut de Física d'Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. The DES data management system is supported by the National Science Foundation under Grant Number AST-1138766. The DES participants from Spanish institutions are partially supported byMINECO under grants AYA2012-39559, ESP2013-48274, FPA2013-47986, and Centro de Excelencia Severo Ochoa SEV-2012-0234. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We thank Th. Boller, M. Freyberg, and H. Brunner from the MPE High Energy Group for helpful conversations. We acknowledge the support of the Max Planck Gemeinschaft Faculty Fellowship programme and the High Energy Group at MPE. Further, we acknowledge the support of the DFG Cluster of Excellence ‘Origin and Structure of the Universe’, the Transregio programme TR33 ‘The Dark Universe’, the Ludwig-Maximilians-Universität and the DLR supported Euclid development project. The data processing has been carried out on the computing facilities of the Computational Center for Particle and Astrophysics (C2PAP), located at the Leibniz Supercomputer Center (LRZ).

Funders	Funder number
Centro de Excelencia Severo Ochoa	SEV-2012-0234
Collaborating Institutions in the Dark Energy Survey
Conselho Nacional de Desen-volvimento Científico e Tecnológico
DFG Cluster of Excellence ‘Origin and Structure of the Universe
European Union’s Seventh Frame-work Programme
FP7/2007
Kavli Institute of Cosmological Physics at the University of Chicago
Ministry of Science and Education of Spain
Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University
National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
US Department of Energy
US National Science Foundation
National Science Foundation	AST-1138766
Stanford University
University of California
Lawrence Berkeley National Laboratory
University of Pennsylvania
Ohio State University
University of Chicago
University of Portsmouth
University of Illinois
Seventh Framework Programme	1138766, 240672, 306478, 291329
Higher Education Funding Council for England
Division of Loan Repayment
Center for Cosmology and Astroparticle Physics, Ohio State University
Science and Technology Facilities Council
University of Cambridge
University College London
European Research Council	FP7/2007-2013
University of Nottingham
University of Edinburgh
Deutsche Forschungsgemeinschaft
Ministerio de Economía y Competitividad	FPA2013-47986, AYA2012-39559, ESP2013-48274
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Financiadora de Estudos e Projetos
Ministério da Ciência e Tecnologia
Max Planck Institute for Nuclear Physics

Keywords

Galaxies: clusters: general
Galaxies: clusters: intracluster medium
Galaxies: distances and redshifts
X-rays: galaxies: clusters

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10.1093/mnras/stx2929

Cite this

@article{ec33c718c32243e4a78114fd6064542d,

title = "A multicomponent matched filter cluster confirmation tool for eROSITA: Initial application to the RASS and DES-SV data sets",

abstract = "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.",

keywords = "Galaxies: clusters: general, Galaxies: clusters: intracluster medium, Galaxies: distances and redshifts, X-rays: galaxies: clusters",

author = "{The DES Collaboration} and M. Klein and Mohr, {J. J.} and S. Desai and H. Israel and S. Allam and A. Benoit-L{\'e}vy and D. Brooks and E. Buckley-Geer and {Carnero Rosell}, A. and {Carrasco Kind}, M. and Cunha, {C. E.} and {da Costa}, {L. N.} and Dietrich, {J. P.} and Eifler, {T. F.} and Evrard, {A. E.} and J. Frieman and D. Gruen and Gruendl, {R. A.} and G. Gutierrez and K. Honscheid and James, {D. J.} and K. Kuehn and M. Lima and Maia, {M. A.G.} and M. March and P. Melchior and F. Menanteau and R. Miquel and Plazas, {A. A.} and K. Reil and Romer, {A. K.} and E. Sanchez and B. Santiago and V. Scarpine and M. Schubnell and I. Sevilla-Noarbe and M. Smith and M. Soares-Santos and F. Sobreira and E. Suchyta and Swanson, {M. E.C.} and G. Tarle",

note = "Publisher Copyright: {\textcopyright} 2017 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society.",

year = "2018",

month = mar,

day = "1",

doi = "10.1093/mnras/stx2929",

language = "English",

volume = "474",

pages = "3324--3343",

journal = "Monthly Notices of the Royal Astronomical Society",

issn = "0035-8711",

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TY - JOUR

T1 - A multicomponent matched filter cluster confirmation tool for eROSITA

T2 - Initial application to the RASS and DES-SV data sets

AU - The DES Collaboration

AU - Klein, M.

AU - Mohr, J. J.

AU - Desai, S.

AU - Israel, H.

AU - Allam, S.

AU - Benoit-Lévy, A.

AU - Brooks, D.

AU - Buckley-Geer, E.

AU - Carnero Rosell, A.

AU - Carrasco Kind, M.

AU - Cunha, C. E.

AU - da Costa, L. N.

AU - Dietrich, J. P.

AU - Eifler, T. F.

AU - Evrard, A. E.

AU - Frieman, J.

AU - Gruen, D.

AU - Gruendl, R. A.

AU - Gutierrez, G.

AU - Honscheid, K.

AU - James, D. J.

AU - Kuehn, K.

AU - Lima, M.

AU - Maia, M. A.G.

AU - March, M.

AU - Melchior, P.

AU - Menanteau, F.

AU - Miquel, R.

AU - Plazas, A. A.

AU - Reil, K.

AU - Romer, A. K.

AU - Sanchez, E.

AU - Santiago, B.

AU - Scarpine, V.

AU - Schubnell, M.

AU - Sevilla-Noarbe, I.

AU - Smith, M.

AU - Soares-Santos, M.

AU - Sobreira, F.

AU - Suchyta, E.

AU - Swanson, M. E.C.

AU - Tarle, G.

PY - 2018/3/1

Y1 - 2018/3/1

N2 - 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.

AB - 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.

KW - Galaxies: clusters: general

KW - Galaxies: clusters: intracluster medium

KW - Galaxies: distances and redshifts

KW - X-rays: galaxies: clusters

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U2 - 10.1093/mnras/stx2929

DO - 10.1093/mnras/stx2929

M3 - Article

AN - SCOPUS:85040229860

SN - 0035-8711

VL - 474

SP - 3324

EP - 3343

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 3

ER -

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

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Keywords

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