A Bayesian Analysis on Neutron Stars within Relativistic Mean Field Models

被引：4
作者：
Char, Prasanta [1 ]
Traversi, Silvia [1 ,2 ]
Pagliara, Giuseppe [1 ,2 ]
机构：
[1] INFN, Sez Ferrara, Via Saragat 1, I-44122 Ferrara, Italy
[2] Univ Ferrara, Dipartimento Fis & Sci Terra, Via Saragat 1, I-44122 Ferrara, Italy
来源：
PARTICLES | 2020年 / 3卷 / 03期
关键词：
Bayesian analysis; neutron stars; equation of state; HYPERONS; MASSES;
D O I：
10.3390/particles3030040
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
We present a Bayesian analysis on the equation of state of neutron stars based on a class of relativistic mean field models. The priors on the equation of state are related to the properties of nuclear matter at saturation and the posteriors are obtained through the Bayesian procedure by exploiting recent astrophysical constraints on the mass-radius relations of neutron stars. We find indications of a tension (within the adopted model) between the prior on the nuclear incompressibility and its posterior which in turn seems to suggest a possible phase transition at about twice saturation density to a phase where the nucleon effective mass is strongly reduced. A possible relation with the chiral phase transition in dense matter is also discussed.
引用
收藏
页码：621 / 629
页数：9
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