English

Bayesian inference of finite-nuclei observables based on the KIDS model

Nuclear Theory 2022-04-12 v2 Nuclear Experiment

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 208^{208}Pb and 120^{120}Sn. Under the constraint of the neutron-skin thickness, it is found that incorporating the curvature parameter KsymK_{sym} of nuclear symmetry energy as an independent variable significantly broadens the posterior probability distribution function (PDF) of the slope parameter LL, and affects the related correlations. Typically, the anticorrelation between LL and the symmetry energy at saturation density disappears, while a positive correlation between LL and KsymK_{sym} 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 K0K_0. Even with the broad uncertainties of higher-order parameters of the equation of state (EOS), robust constraints of L<90L<90 MeV and K0<270K_0<270 MeV are obtained. Our study quantifies the consistency between the constraints on LL from the neutron-skin data of PREXII and isovector giant dipole resonance (IVGDR) data, and the constraints on K0K_0 from the data of ISGMR in 208^{208}Pb and 120^{120}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