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

Wen-Jie Xie; Zi-Wei Ma; Jun-Hua Guo

doi:10.1007/s41365-023-01239-7

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

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH | Updated：2023-08-14

- Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data
- Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data
- 核技术（英文版） 2023年34卷第6期文章编号：91
- Affiliations：
  
  1.Department of Physics, Yuncheng University, Yuncheng 044000, China
- Author bio：
  
  †wenjiexie@yeah.net
- Funds：
  
  Shanxi Provincial Foundation for Returned Overseas Scholars(20220037);Natural Science Foundation of Shanxi Province(20210302123085);Discipline Construction Project of Yuncheng University
- DOI：10.1007/s41365-023-01239-7
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Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data[J]. 核技术（英文版）, 2023,34(6):91

Wen-Jie Xie, Zi-Wei Ma, Jun-Hua Guo. Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data[J]. Nuclear Science and Techniques, 2023,34(6):91
Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data[J]. 核技术（英文版）, 2023,34(6):91 DOI： 10.1007/s41365-023-01239-7.

Wen-Jie Xie, Zi-Wei Ma, Jun-Hua Guo. Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data[J]. Nuclear Science and Techniques, 2023,34(6):91 DOI： 10.1007/s41365-023-01239-7.

摘要

Abstract

In this work, we perform a Bayesian inference of the crust-core transition density ,ρ,t, of neutron stars based on the neutron-star radius and neutron-skin thickness data using a thermodynamical method. Uniform and Gaussian distributions for the ,ρ,t, prior were adopted in the Bayesian approach. It has a larger probability of having values higher than 0.1 fm,-3, for ,ρ,t, as the uniform prior and neutron-star radius data were used. This was found to be controlled by the curvature ,K,sym, of the nuclear symmetry energy. This phenomenon did not occur if ,K,sym, was not extremely negative, namely,K,sym,>, -200 MeV. The value of ,ρ,t, obtained was 0.075 , $- 0.01 + 0.005$ , fm,-3, at a confidence level of 68% when both the neutron-star radius and neutron-skin thickness data were considered. Strong anti-correlations were observed between ,ρ,t, slope ,L, and curvature of the nuclear symmetry energy. The dependence of the three ,L,-,K,sym, correlations predicted in the literature on crust-core density and pressure was quantitatively investigated. The most probable value of 0.08 fm,-3, for ,ρ,t, was obtained from the ,L,–,K,sym, relationship proposed by Holt ,et al, while larger values were preferred for the other two relationships.

关键词

Keywords

Crust-core transition density of neutron starsNeutron-star radiusNeutron-skin thicknessBayesian inference approachL–Ksym correlations

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Determination of neutron-skin thickness using configurational information entropy