Bayesian Inference of Neutron-Skin Thickness and Neutron-Star Observables Based on Effective Nuclear Interactions
Science China Physics Mechanics and Astronomy(2024)
Chinese Academy of Sciences | Tongji University
Abstract
We have obtained the constraints on the density dependence of the symmetryenergy from neutron-skin thickness data by parity-violating electronscatterings and neutron-star observables using a Bayesian approach, based onthe standard Skyrme-Hartree-Fock (SHF) model and its extension as well as therelativistic mean-field (RMF) model. While the neutron-skin thickness data(neutron-star observables) mostly constrain the symmetry energy atsubsaturation (suprasaturation) densities, they may more or less constrain thebehavior of the symmetry energy at suprasaturation (subsaturation) densities,depending on the energy-density functional form. Besides showing the finalposterior density dependence of the symmetry energy, we also compare the slopeparameters of the symmetry energy at 0.10 fm^-3 as well as the values ofthe symmetry energy at twice saturation density from three effective nuclearinteractions. The present work serves as a comparison study based onrelativistic and nonrelativistic energy-density functionals for constrainingthe nuclear symmetry energy from low to high densities using a Bayesianapproach.
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symmetry energy,neutron skin,neutron star
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