论文标题

基于协变量功能的贝叶斯对密集物质方程的推断

Bayesian Inference of the Dense Matter Equation of State built upon Covariant Density Functionals

论文作者

Beznogov, Mikhail V., Raduta, Adriana R.

论文摘要

在[ Malik,M。Ferreira,B。K. Agrawal和C.providência,APJ 930,17(2022)]用于贝叶斯分析中,以确定密集物质的状态方程(EOS)和核次自由度。核物理学的各种限制和纯中子物质(PNM)的显微镜计算以及对中子星的最大质量(NSS)的下限施加在EOS模型上,以研究逐步融合约束的有效性,它们的兼容性,它们的兼容性以及NSS的核问题和属性之间的相关性。我们的结果包括压力和每个PNM粒子在限制核物质的等异卵形行为中发挥的不同作用;从自旋轨道分裂中提取的有效质量值的张力;规范质量NS的半径与二阶和三阶系数之间的相关性在每个粒子的泰勒膨胀与密度的函数之间;饱和时核子的最大质量构型的中心压力与狄拉克有效质量之间的相关性。对于我们的某些模型,NS最大质量的尾巴达到$ 2.7〜 \ MATHRM {M} _ {\ odot} $,这意味着GW190814中的次要对象可能是NS。

A modified version of the density dependent covariant density functional model proposed in [T. Malik, M. Ferreira, B. K. Agrawal and C. Providência, ApJ 930, 17 (2022)] is employed in a Bayesian analysis to determine the equation of state (EOS) of dense matter with nucleonic degrees of freedom. Various constraints from nuclear physics and microscopic calculations of pure neutron matter (PNM) along with a lower bound on the maximum mass of neutron stars (NSs) are imposed on the EOS models to investigate the effectiveness of progressive incorporation of the constraints, their compatibility as well as correlations among parameters of nuclear matter and properties of NSs. Our results include the different roles played by pressure and energy per particle of PNM in constraining the isovector behavior of nuclear matter; tension with the values of Dirac effective mass extracted from spin-orbit splitting; correlations between the radius of the canonical mass NS and second and third order coefficients in the Taylor expansion of energy per particle as a function of density; correlation between the central pressure of the maximum mass configuration and Dirac effective mass of the nucleon at saturation. For some of our models the tail of the NS maximum mass reaches $2.7~\mathrm{M}_{\odot}$, which means that the secondary object in GW190814 could have been a NS.

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