Component separation methods for the PLANCK mission

S. M. Leach et al.

Detalles Bibliográficos
Autores: Leach, S. M., Barreiro, R. Belén, González-Nuevo, J., Herranz, Diego, López-Caniego, M., Martínez-González, Enrique, Sanz, J. L., Vielva, Patricio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2008
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/385684
Acceso en línea:http://hdl.handle.net/10261/385684
Access Level:acceso abierto
Palabra clave:Cosmic microwave background
Methods: data analysis
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spelling Component separation methods for the PLANCK missionLeach, S. M.Barreiro, R. BelénGonzález-Nuevo, J.Herranz, DiegoLópez-Caniego, M.Martínez-González, EnriqueSanz, J. L.Vielva, PatricioCosmic microwave backgroundMethods: data analysisS. M. Leach et al.[Context] The planck satellite will map the full sky at nine frequencies from 30 to 857 GHz. The CMB intensity and polarization that are its prime targets are contaminated by foreground emission.[Aims] The goal of this paper is to compare proposed methods for separating CMB from foregrounds based on their different spectral and spatial characteristics, and to separate the foregrounds into “components” with different physical origins (Galactic synchrotron, free-free and dust emissions; extra-galactic and far-IR point sources; Sunyaev-Zeldovich effect, etc.).[Methods] A component separation challenge has been organised, based on a set of realistically complex simulations of sky emission. Several methods including those based on internal template subtraction, maximum entropy method, parametric method, spatial and harmonic cross correlation methods, and independent component analysis have been tested.[Results] Different methods proved to be effective in cleaning the CMB maps of foreground contamination, in reconstructing maps of diffuse Galactic emissions, and in detecting point sources and thermal Sunyaev-Zeldovich signals. The power spectrum of the residuals is, on the largest scales, four orders of magnitude lower than the input Galaxy power spectrum at the foreground minimum. The CMB power spectrum was accurately recovered up to the sixth acoustic peak. The point source detection limit reaches 100 mJy, and about 2300 clusters are detected via the thermal SZ effect on two thirds of the sky.We have found that no single method performs best for all scientific objectives.[Conclusions] We foresee that the final component separation pipeline for planck will involve a combination of methods and iterations between processing steps targeted at different objectives such as diffuse component separation, spectral estimation, and compact source extraction.The work reported in this paper was carried out by Working Group 2 of the planck Collaboration. planck is a mission of the European Space Agency. The Italian group were supported in part by ASI (contract Planck LFI Phase E2 Activity). The US planck Project is supported by the NASA Science Mission Directorate. The ADAMIS team at APC has been partly supported by the Astro-Map and Cosmostat ACI grants of the French ministry of research, for the development of innovative CMB data analysis methods. The IFCA team acknowledges partial financial support from the Spanish project AYA2007- 68058-C03-02. This research used resources of the National Energy Research Scientific Computing Center, which is supported by the Office of Science of the US Department of Energy under Contract No. DE-AC02-05CH11231. D.H., J.L.S. and E.S. would like to acknowledge partial financial support from joint CNR-CSIC research project 2006-IT-0037. R.S. acknowledges support of the E.C. Marie Curie IR Grant (mirg-ct-2006-036614). C.B. was partly supported by the NASA LTSA Grant NNG04CG90G.Peer reviewedEDP SciencesEuropean Space AgencyAgenzia Spaziale ItalianaNASAMinisterio de Ciencia e Innovación (España)Department of Energy (US)Consejo Superior de Investigaciones Científicas (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252008info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/385684reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1051/0004-6361:200810116Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3856842026-05-22T06:33:51Z
dc.title.none.fl_str_mv Component separation methods for the PLANCK mission
title Component separation methods for the PLANCK mission
spellingShingle Component separation methods for the PLANCK mission
Leach, S. M.
Cosmic microwave background
Methods: data analysis
title_short Component separation methods for the PLANCK mission
title_full Component separation methods for the PLANCK mission
title_fullStr Component separation methods for the PLANCK mission
title_full_unstemmed Component separation methods for the PLANCK mission
title_sort Component separation methods for the PLANCK mission
dc.creator.none.fl_str_mv Leach, S. M.
Barreiro, R. Belén
González-Nuevo, J.
Herranz, Diego
López-Caniego, M.
Martínez-González, Enrique
Sanz, J. L.
Vielva, Patricio
author Leach, S. M.
author_facet Leach, S. M.
Barreiro, R. Belén
González-Nuevo, J.
Herranz, Diego
López-Caniego, M.
Martínez-González, Enrique
Sanz, J. L.
Vielva, Patricio
author_role author
author2 Barreiro, R. Belén
González-Nuevo, J.
Herranz, Diego
López-Caniego, M.
Martínez-González, Enrique
Sanz, J. L.
Vielva, Patricio
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv European Space Agency
Agenzia Spaziale Italiana
NASA
Ministerio de Ciencia e Innovación (España)
Department of Energy (US)
Consejo Superior de Investigaciones Científicas (España)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Cosmic microwave background
Methods: data analysis
topic Cosmic microwave background
Methods: data analysis
description S. M. Leach et al.
publishDate 2008
dc.date.none.fl_str_mv 2008
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/385684
url http://hdl.handle.net/10261/385684
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1051/0004-6361:200810116
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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