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

نویسندگان

چکیده

Bayesian analyses on both isoscalar and isovector nuclear interaction parameters are carried out based the Korea-IBS-Daegu-SKKU (KIDS) model under constraints of selected structure data $^{208}\mathrm{Pb}$ $^{120}\mathrm{Sn}$. Under constraint neutron-skin thickness, it is found that incorporating curvature parameter ${K}_{\mathrm{sym}}$ symmetry energy as an independent variable significantly broadens posterior probability distribution function (PDF) slope $L$ affects related correlations. Typically, anticorrelation between at saturation density disappears, while a positive correlation observed. giant monopole resonance (ISGMR), skewness also PDF matter incompressibility ${K}_{0}$. Even with broad uncertainties higher-order equation state (EOS), robust $L<90\phantom{\rule{4pt}{0ex}}\mathrm{MeV}$ ${K}_{0}<270\phantom{\rule{4pt}{0ex}}\mathrm{MeV}$ obtained. Our results suggest some compatibility ISGMR $^{120}\mathrm{Sn}$ but not observables, especially thickness.

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ژورنال

عنوان ژورنال: Physical Review C

سال: 2022

ISSN: ['2470-0002', '2469-9985', '2469-9993']

DOI: https://doi.org/10.1103/physrevc.105.044305