[Prex] Bayesian inference of nucleus resonance and neutron skin

[Jay Benesch]

https://arxiv.org/abs/2301.07884

Bayesian inference of nucleus resonance and neutron skin

Jun Xu

In this proceeding, we have presented some highlight results on the 
constraints of the nuclear matter equation of state (EOS) from the data 
of nucleus resonance and neutron-skin thickness using the Bayesian 
approach based on the Skyrme-Hartree-Fock model and its extension. 
Typically, we have discussed the anti-correlation and positive 
correlation between the slope parameter and the value of the symmetry 
energy at the saturation density under the constraint of, respectively, 
the neutron-skin thickness and the isovector giant dipole resonance. We 
have shown that the Bayesian analysis can help to find a compromise for 
the ``PREXII puzzle'' and the ``soft Tin puzzle". We have further 
illustrated the possible modifications on the constraints of lower-order 
EOS parameters as well as the relevant correlation when higher-order EOS 
parameters are incorporated as independent variables. For a given model 
and parameter space, the Bayesian approach serves as a good analysis 
tool suitable for multi-messengers versus multi-variables, and is 
helpful for constraining quantitatively the model parameters as well as 
their correlations.
Comments:	10 pages, 8 figures, proceeding of the workshop on 
applications of machine learning in nuclear physics and nuclear data, 
Rui Chang, Jiangxi province, China, Aug. 5-7 th, 2022
Subjects:	Nuclear Theory (nucl-th); Nuclear Experiment (nucl-ex)