Chimanski, E.V.; Lobato, R.V.; Goncalves, A.R.; Bertulani, C.A. Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations. Particles2023, 6, 198-216.
Chimanski, E.V.; Lobato, R.V.; Goncalves, A.R.; Bertulani, C.A. Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations. Particles 2023, 6, 198-216.
Chimanski, E.V.; Lobato, R.V.; Goncalves, A.R.; Bertulani, C.A. Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations. Particles2023, 6, 198-216.
Chimanski, E.V.; Lobato, R.V.; Goncalves, A.R.; Bertulani, C.A. Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations. Particles 2023, 6, 198-216.
Abstract
The description of stellar interiors remains as a big challenge for the nuclear astrophysics community. The consolidated knowledge is restricted to density regions around the saturation of hadronic matter $\rho _{0} = 2.8\times 10^{14} {\rm\ g\ cm^{-3}}$, regimes where our nuclear models are successfully applied. As one moves towards higher densities and extreme conditions up to five to twenty times $\rho_{0}$, little can be said about the microphysics of such obejects. Here, we employ an MCMC strategy in order to access the variability of polytropic three-pircewised models for neutron star equation of states. With a fixed description of the hadronic matter we explore a variety of models for the high density regimes leading to stellar masses up to 2.5 $M_{\odot}$. In addition, we also discuss the use of a Bayesian power regression model with heteroscedastic error. The set of EoS from LIGO was used as inputs and treated as data set for testing case.
Keywords
Bayesian Inference; MCMC; Equation of State; Heteroscedastic; Neutron Star; Astrophysics
Subject
Physical Sciences, Particle and Field Physics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
