Bayesian inference of finite-nuclei observables based on the KIDS model
Abstract
Bayesian analyses on both isoscalar and isovector nuclear interaction parameters are carried out based on the Korea-IBS-Daegu-SKKU (KIDS) model under the constraints of nuclear structure data of Pb and Sn. Under the constraint of the neutron-skin thickness, it is found that incorporating the curvature parameter of nuclear symmetry energy as an independent variable significantly broadens the posterior probability distribution function (PDF) of the slope parameter , and affects the related correlations. Typically, the anticorrelation between and the symmetry energy at saturation density disappears, while a positive correlation between and is observed. Under the constraint of the isoscalar giant monopole resonance (ISGMR), incorporating the skewness parameter as an independent variable also significantly broadens the posterior PDF of the nuclear matter incompressibility . Even with the broad uncertainties of higher-order parameters of the equation of state (EOS), robust constraints of MeV and MeV are obtained. Our study quantifies the consistency between the constraints on from the neutron-skin data of PREXII and isovector giant dipole resonance (IVGDR) data, and the constraints on from the data of ISGMR in Pb and Sn.
Keywords
Cite
@article{arxiv.2201.03835,
title = {Bayesian inference of finite-nuclei observables based on the KIDS model},
author = {Jun Xu and Panagiota Papakonstantinou},
journal= {arXiv preprint arXiv:2201.03835},
year = {2022}
}
Comments
18 pages, 17 figures