Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps

We present an estimation of the point source (PS) catalogue that could be extracted from the forthcoming ESA Planck mission data. We have applied the Spherical Mexican Hat Wavelet (SMHW) to simulated all-sky maps that include cosmic microwave background (CMB), Galactic emission (thermal dust, free–f...

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Detalles Bibliográficos
Autores: Vielva, Patricio, Martínez-González, Enrique, Gallegos, J. E., Toffolatti, Luigi, Sanz, J. L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2003
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/394113
Acceso en línea:http://hdl.handle.net/10261/394113
Access Level:acceso abierto
Palabra clave:Methods: data analysis
Cosmic microwave background
Techniques: image processing
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spelling Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck mapsVielva, PatricioMartínez-González, EnriqueGallegos, J. E.Toffolatti, LuigiSanz, J. L.Methods: data analysisCosmic microwave backgroundTechniques: image processingWe present an estimation of the point source (PS) catalogue that could be extracted from the forthcoming ESA Planck mission data. We have applied the Spherical Mexican Hat Wavelet (SMHW) to simulated all-sky maps that include cosmic microwave background (CMB), Galactic emission (thermal dust, free–free and synchrotron), thermal Sunyaev–Zel'dovich effect and PS emission, as well as instrumental white noise. This work is an extension of the one presented in Vielva et al. We have developed an algorithm focused on a fast local optimal scale determination, that is crucial to achieve a PS catalogue with a large number of detections and a low flux limit. An important effort has been also done to reduce the CPU time processor for spherical harmonic transformation, in order to perform the PS detection in a reasonable time. The presented algorithm is able to provide a PS catalogue above fluxes: 0.48 Jy (857 GHz), 0.49 Jy (545 GHz), 0.18 Jy (353 GHz), 0.12 Jy (217 GHz), 0.13 Jy (143 GHz), 0.16 Jy (100 GHz HFI), 0.19 Jy (100 GHz LFI), 0.24 Jy (70 GHz), 0.25 Jy (44 GHz) and 0.23 Jy (30 GHz). We detect around 27 700 PS at the highest frequency Planck channel and 2900 at the 30-GHz one. The completeness level are: 70 per cent (857 GHz), 75 per cent (545 GHz), 70 per cent (353 GHz), 80 per cent (217 GHz), 90 per cent (143 GHz), 85 per cent (100 GHz HFI), 80 per cent (100 GHz LFI), 80 per cent (70 GHz), 85 per cent (44 GHz) and 80 per cent (30 GHz). In addition, we can find several PS at different channels, allowing the study of the spectral behaviour and the physical processes acting on them. We also present the basic procedure to apply the method in maps convolved with asymmetric beams. The algorithm takes ∼72 h for the most CPU time-demanding channel (857 GHz) in a Compaq HPC320 (Alpha EV68 1-GHz processor) and requires 4 GB of RAM memory; the CPU time goes as graphicN3/2pix log(Npix)], where Npix is the number of pixels in the map and graphic is the number of optimal scales needed.PV acknowledges support from Universidad de Cantabria fellowship. We acknowledge partial financial support from the Spanish MCYT projects ESP2001-4542-PE and ESP2002-04141-C03-01.Peer reviewedOxford University PressUniversidad de CantabriaMinisterio de Ciencia y Tecnología (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252003info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/394113reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1046/j.1365-8711.2003.06792.xSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3941132026-05-22T06:33:51Z
dc.title.none.fl_str_mv Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
title Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
spellingShingle Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
Vielva, Patricio
Methods: data analysis
Cosmic microwave background
Techniques: image processing
title_short Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
title_full Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
title_fullStr Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
title_full_unstemmed Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
title_sort Point source detection using the Spherical Mexican Hat Wavelet on simulated all-sky Planck maps
dc.creator.none.fl_str_mv Vielva, Patricio
Martínez-González, Enrique
Gallegos, J. E.
Toffolatti, Luigi
Sanz, J. L.
author Vielva, Patricio
author_facet Vielva, Patricio
Martínez-González, Enrique
Gallegos, J. E.
Toffolatti, Luigi
Sanz, J. L.
author_role author
author2 Martínez-González, Enrique
Gallegos, J. E.
Toffolatti, Luigi
Sanz, J. L.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
Ministerio de Ciencia y Tecnología (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Methods: data analysis
Cosmic microwave background
Techniques: image processing
topic Methods: data analysis
Cosmic microwave background
Techniques: image processing
description We present an estimation of the point source (PS) catalogue that could be extracted from the forthcoming ESA Planck mission data. We have applied the Spherical Mexican Hat Wavelet (SMHW) to simulated all-sky maps that include cosmic microwave background (CMB), Galactic emission (thermal dust, free–free and synchrotron), thermal Sunyaev–Zel'dovich effect and PS emission, as well as instrumental white noise. This work is an extension of the one presented in Vielva et al. We have developed an algorithm focused on a fast local optimal scale determination, that is crucial to achieve a PS catalogue with a large number of detections and a low flux limit. An important effort has been also done to reduce the CPU time processor for spherical harmonic transformation, in order to perform the PS detection in a reasonable time. The presented algorithm is able to provide a PS catalogue above fluxes: 0.48 Jy (857 GHz), 0.49 Jy (545 GHz), 0.18 Jy (353 GHz), 0.12 Jy (217 GHz), 0.13 Jy (143 GHz), 0.16 Jy (100 GHz HFI), 0.19 Jy (100 GHz LFI), 0.24 Jy (70 GHz), 0.25 Jy (44 GHz) and 0.23 Jy (30 GHz). We detect around 27 700 PS at the highest frequency Planck channel and 2900 at the 30-GHz one. The completeness level are: 70 per cent (857 GHz), 75 per cent (545 GHz), 70 per cent (353 GHz), 80 per cent (217 GHz), 90 per cent (143 GHz), 85 per cent (100 GHz HFI), 80 per cent (100 GHz LFI), 80 per cent (70 GHz), 85 per cent (44 GHz) and 80 per cent (30 GHz). In addition, we can find several PS at different channels, allowing the study of the spectral behaviour and the physical processes acting on them. We also present the basic procedure to apply the method in maps convolved with asymmetric beams. The algorithm takes ∼72 h for the most CPU time-demanding channel (857 GHz) in a Compaq HPC320 (Alpha EV68 1-GHz processor) and requires 4 GB of RAM memory; the CPU time goes as graphicN3/2pix log(Npix)], where Npix is the number of pixels in the map and graphic is the number of optimal scales needed.
publishDate 2003
dc.date.none.fl_str_mv 2003
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/10261/394113
url http://hdl.handle.net/10261/394113
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1046/j.1365-8711.2003.06792.x
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 Oxford University Press
publisher.none.fl_str_mv Oxford University Press
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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