Bayesian Inference Applied to Pulsar's Models
Data
2017
Autores
Magalhaes, Nadja S. 
Valentim, Rodolfo
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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.
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Proceedings Of The 7th International Workshop On Astronomy And Relativistic Astrophysics (Iwara 2016). Singapore, v. 45, p. -, 2017.