Bayesian Inference Applied to Pulsar’s Models

Bayesian Inference Applied to Pulsar’s Models

The 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 fi...

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Veröffentlicht in:International journal of modern physics. Conference series 2017, Vol.45, p.1760038
Hauptverfasser: Marinho, Rubens M., de Oliveira, Heitor O., Magalhães, Nadja S., Valentim, Rodolfo, Coelho, Jaziel G., Alves, Márcio E. S.
Format: Artikel
Sprache:eng
Schlagworte:
Angular velocity
Bayesian analysis
Low Temperature Astrophysics, Supermassive Black Holes, Magnetars, Strange Stars, Magnetic Fields in the Universe and in Compact Stars, Dense Quark and Hadron Matter Physics and Astrophysics, Supernovae, Pulsars, Neutron Stars and White Dwarfs
Pulsars
Statistical inference
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Beschreibung
Zusammenfassung:The 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.
ISSN:2010-1945
2010-1945
DOI:10.1142/S2010194517600382