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Bayesian Inference Applied to Pulsar's Models

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dc.contributor.authorMarinho, Rubens M.
dc.contributor.authorOliveira, Heitor O. de
dc.contributor.authorMagalhaes, Nadja S.
dc.contributor.authorValentim, Rodolfo
dc.contributor.authorCoelho, Jaziel G.
dc.contributor.authorAlves, Marcio E. S. [UNESP]
dc.contributor.authorDosSantos, A. L.
dc.contributor.authorVasconcellos, CAZ
dc.contributor.authorDaSilva, D. T.
dc.contributor.authorHadjimichef, D.
dc.contributor.authorWeber, F.
dc.contributor.authorMachado, MVT
dc.contributor.authorDaSilva, MLL
dc.contributor.authorXu, R.
dc.contributor.authorGreiner, W.
dc.contributor.institutionITA
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionINPE
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T15:45:04Z
dc.date.available2018-11-26T15:45:04Z
dc.date.issued2017-01-01
dc.description.abstractThe goal of this work is to apply Bayesian statistics to the problem of pulsars in order to compute the Bayes factor and investigate which one among different EoS could better fit known pulsar data, regarding the rate of decrease of the angular velocity versus the angular velocity itself. We also find the posterior distribution and the best fit for some relevant parameters of the pulsar like the mass and the magnetic field.en
dc.description.affiliationITA, Dept Fis, BR-12228900 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Dept Fis, UNIFESP, BR-09913030 Diadema, SP, Brazil
dc.description.affiliationINPE, Div Astrofis, BR-12227010 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Inst Ciencia & Tecnol, UNESP, BR-12247016 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Inst Ciencia & Tecnol, UNESP, BR-12247016 Sao Jose Dos Campos, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdFAPESP: 2013/26258-4
dc.description.sponsorshipIdFAPESP: 2013/15088-0
dc.format.extent6
dc.identifierhttp://dx.doi.org/10.1142/S2010194517600382
dc.identifier.citationProceedings Of The 7th International Workshop On Astronomy And Relativistic Astrophysics (iwara 2016). Singapore: World Scientific Publ Co Pte Ltd, v. 45, 6 p., 2017.
dc.identifier.doi10.1142/S2010194517600382
dc.identifier.issn2010-1945
dc.identifier.urihttp://hdl.handle.net/11449/159740
dc.identifier.wosWOS:000410658500038
dc.language.isoeng
dc.publisherWorld Scientific Publ Co Pte Ltd
dc.relation.ispartofProceedings Of The 7th International Workshop On Astronomy And Relativistic Astrophysics (iwara 2016)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectPulsar
dc.subjectEquation of State
dc.subjectBayesian Statistics
dc.titleBayesian Inference Applied to Pulsar's Modelsen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderWorld Scientific Publ Co Pte Ltd
dspace.entity.typePublication

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