Bayesian inference of neutron-star observables based on effective nuclear interactions
Abstract
Based on the Skyrme-Hartree-Fock model (SHF) as well as its extension (the Korea-IBS-Daegu-SKKU (KIDS) model) and the relativistic mean-field (RMF) model, we have studied the constraints on the parameters of the nuclear matter equation of state (EOS) from adopted astrophysical observables using a Bayesian approach. While the masses and radii of neutron stars generally favors a stiff isoscalar EOS and a moderately soft nuclear symmetry energy, model dependence on the constraints is observed and mostly originates from the incorporation of higher-order EOS parameters and difference between relativistic and non-relativistic models. At twice saturation density, the value of the symmetry energy is constrained to be MeV in the standard SHF model, MeV in the KIDS model, and MeV in the RMF model, around their maximum {\it a posteriori} values within confidence intervals. Our study helps to obtain a robust constraint on nuclear matter EOS, and meanwhile, to understand the model dependence of the results.
Cite
@article{arxiv.2301.07904,
title = {Bayesian inference of neutron-star observables based on effective nuclear interactions},
author = {Jia Zhou and Jun Xu and Panagiota Papakonstantinou},
journal= {arXiv preprint arXiv:2301.07904},
year = {2023}
}
Comments
16 pages, 8 figures