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Detecting point sources in CMB maps using an efficient parallel algorithm

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Detecting point sources in CMB maps using an efficient parallel algorithm

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dc.contributor.author Alonso, P. es_ES
dc.contributor.author Argüeso, F. es_ES
dc.contributor.author Cortina, R. es_ES
dc.contributor.author Ranilla, J. es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.date.accessioned 2014-07-28T11:38:07Z
dc.date.issued 2012-02
dc.identifier.issn 0259-9791
dc.identifier.uri http://hdl.handle.net/10251/39085
dc.description.abstract The Cosmic Microwave Background (CMB) is a diffuse radiation which is contaminated by the radiation emitted by point sources. The precise knowledge of CMB fluctuations can lead to a better knowledge of the chemistry at the early stages of the Universe. In this work, we present an efficient algorithm, with a high degree of parallelism, which can improve, from the computational point of view, the classical approaches for detecting point sources in Cosmic Microwave Background maps. High performance computing libraries and parallel computing techniques have allowed to construct a portable, fast and numerically stable algorithm. To check the performance of the new method, we have carried out several simulations resembling the observational data collected by the Low Frequency Instrument of the Planck satellite. The sources are detected in their real positions. © 2011 Springer Science+Business Media, LLC. es_ES
dc.description.sponsorship This work was financially supported by the Spanish Ministerio de Ciencia e Innovacion and by FEDER (Projects TIN2010-14971, TIN2008-06570-C04-02, TEC2009-13741 and CAPAP-H3 TIN2010-12011-E), Universitat Politecnica de Valencia through Programa de Apoyo a la Investigacion y Desarrollo (PAID-05-10) and Generalitat Valenciana through project PROMETEO/2009/013. We thank Diego Herranz for his help with the CMB simulations. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Journal of Mathematical Chemistry es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cosmic microwave background es_ES
dc.subject Efficiency es_ES
dc.subject Parallel algorithm es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Detecting point sources in CMB maps using an efficient parallel algorithm es_ES
dc.type Artículo es_ES
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/s10910-011-9936-y
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2008-06570-C04-02/ES/CONSTRUCCION Y OPTIMIZACION AUTOMATICAS DE BIBLIOTECAS PARALELAS DE COMPUTACION CIENTIFICA - UM/ / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-10/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TEC2009-13741/ES/Spatial Audio Systems Based On Massive Parallel Processing Of Multichannel Acoustic Signals With General Purpose-Graphics Processing Units (Gp-Gpu) And Multicores/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2010-14971/ES/REDUCCION DE CARACTERISTICAS Y COMPUTACION DE ALTAS PRESTACIONES EN PROBLEMAS DE ALTA DIMENSIONALIDAD/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2010-12011-E/ES/RED DE COMPUTACION DE ALTAS PRESTACIONES SOBRE ARQUITECTURAS PARALELAS HETEROGENEAS (CAPAP-H3) RENOVACION/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Alonso, P.; Argüeso, F.; Cortina, R.; Ranilla, J.; Vidal Maciá, AM. (2012). Detecting point sources in CMB maps using an efficient parallel algorithm. Journal of Mathematical Chemistry. 50(2):410-420. https://doi.org/10.1007/s10910-011-9936-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007%2Fs10910-011-9936-y es_ES
dc.description.upvformatpinicio 410 es_ES
dc.description.upvformatpfin 420 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 50 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 211438
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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