Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data

• 作者： Xie,Wen-Jie ¹ Ma, Zi-Wei ¹ Guo, Jun-Hua ¹
• 作者单位：
  1.  Department of Physics, Yuncheng University, Yuncheng 044000, China
• 提交时间：2023-05-31

摘要: In this work we perform a Bayesian inference of the crust-core transition density t of neutron stars based upon the neutron-star radius and the neutron-skin thickness data within a thermodynamicalmethod. The uniform and Gaussian distributions for the t prior are adopted in the Bayesianapproach. It has a larger probability to have values higher than 0.1 fm3 for t as the uniform priorand the neutron-star radius data are used. We found that this is controlled by the curvature Ksym ofthe nuclear symmetry energy. This phenomenon will not happen if Ksym is not extremely negative,i.e., Ksym > -200 MeV. The obtained t is 0.075+0.005-0.01fm^3 at 68% confifidence level when both the neutron-star radius and the neutron-skin thickness data are taken into account. The strongly anti-correlations between t and the slope L, curvature of the nuclear symmetry energy are observed.The dependence of the three L-Ksym correlations predicted in the literature on the crust-core densityand pressure is quantitatively investigated. The most probable value of 0.08 fm^3 for t is obtainedfrom the L-Ksym relation raised by Holt et al. and the larger values are preferred by the other tworelations.

• 来自： 谢文杰
• 分类： 物理学 >> 核物理学
• 投稿状态： 未投稿
• 引用： ChinaXiv:202306.00003 (或此版本 ChinaXiv:202306.00003V1)
  DOI:10.12074/202306.00003V1
  CSTR:32003.36.ChinaXiv.202306.00003.V1
• 推荐引用方式： Xie,Wen-Jie ,Ma, Zi-Wei,Guo, Jun-Hua.(2023).Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data.中国科学院科技论文预发布平台.doi:10.12074/202306.00003V1 (点此复制)