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Non-linear parallel solver for detecting point sources in CMB maps using Bayesian techniques

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Non-linear parallel solver for detecting point sources in CMB maps using Bayesian techniques

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Nombre: J Math Chem_2013_ ...
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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 2014-09-09T12:01:34Z
dc.date.issued 2013-04
dc.identifier.issn 0259-9791
dc.identifier.uri http://hdl.handle.net/10251/39515
dc.description.abstract Abstract In this work we present a suitable computational tool to deal with large matrices and solve systems of non-linear equations. This technique is applied to a very interesting problem: the detection and flux estimation of point sources in Cos- mic Microwave Background (CMB) maps, which allows a good determination of CMB primordial fluctuations and leads to a better knowledge of the chemistry at the early stages of the Universe. The method uses previous information about the statis- tical properties of the sources, so that this knowledge is incorporated in a Bayesian scheme. Simulations show that our approach allows the detection of more sources than previous non-Bayesian techniques, with a small computation time es_ES
dc.description.sponsorship This work was financially supported by the Spanish Ministerio de Ciencia e Innovacion and by FEDER Projects (TEC2012-38142-C04, TIN2010-14971, TEC2009-13741 and CAPAP-H4 TIN2011-15734-E) Universitat Politecnica de Valencia through Programa de Apoyo a la Investigacion y Desarrollo (PAID-05-11) 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 Bayesian es_ES
dc.subject Non-linear systems es_ES
dc.subject Efficiency es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Non-linear parallel solver for detecting point sources in CMB maps using Bayesian techniques es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10910-012-0078-7
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/UPV//PAID-05-11/ 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//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//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2011-15734-E/ES/RED DE COMPUTACION DE ALTAS PRESTACIONES SOBRE ARQUITECTURAS PARALELAS HETEROGENEAS (CAPAP-H4) 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. (2013). Non-linear parallel solver for detecting point sources in CMB maps using Bayesian techniques. Journal of Mathematical Chemistry. 51(4):1153-1163. https://doi.org/10.1007/s10910-012-0078-7 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007%2Fs10910-012-0078-7 es_ES
dc.description.upvformatpinicio 1153 es_ES
dc.description.upvformatpfin 1163 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 51 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 235694
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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