Bayesian inference of the skewness parameter of supra-dense nuclear matter from energetic heavy-ion reactions. (arXiv:2001.03669v1 [nucl-th])

Bayesian inference of the skewness parameter of supra-dense nuclear matter from energetic heavy-ion reactions. (arXiv:2001.03669v1 [nucl-th])
<a href="http://arxiv.org/find/nucl-th/1/au:+Xie_W/0/1/0/all/0/1">Wen-Jie Xie</a>, <a href="http://arxiv.org/find/nucl-th/1/au:+Li_B/0/1/0/all/0/1">Bao-An Li</a>

Within the Bayesian framework using available constraining bands on the
pressure in symmetric nuclear matter (SNM) derived earlier by others in the
density range of 1.3$rho_0$ to 4.5$rho_0$ from kaon production and nuclear
collective flow data in energetic heavy-ion collisions, we infer the posterior
probability distribution functions (PDFs) of SNM incompressibility $K_0$ and
skewness $J_0$ using uniform prior PDFs for them in the ranges of $220leq
K_0leq 260$ MeV and $-800leq J_0leq 400$ MeV. The 68% posterior credible
boundaries around the most probable values of $K_0$ and $J_0$ are found to be
222$pm$2 MeV and -215$pm$20 MeV, respectively, much narrower than their prior
ranges widely used currently in the literature and are consistent with the
results of a recent Bayesian analysis of neutron star properties constrained by
available X-ray and gravitational wave observations.

Within the Bayesian framework using available constraining bands on the
pressure in symmetric nuclear matter (SNM) derived earlier by others in the
density range of 1.3$rho_0$ to 4.5$rho_0$ from kaon production and nuclear
collective flow data in energetic heavy-ion collisions, we infer the posterior
probability distribution functions (PDFs) of SNM incompressibility $K_0$ and
skewness $J_0$ using uniform prior PDFs for them in the ranges of $220leq
K_0leq 260$ MeV and $-800leq J_0leq 400$ MeV. The 68% posterior credible
boundaries around the most probable values of $K_0$ and $J_0$ are found to be
222$pm$2 MeV and -215$pm$20 MeV, respectively, much narrower than their prior
ranges widely used currently in the literature and are consistent with the
results of a recent Bayesian analysis of neutron star properties constrained by
available X-ray and gravitational wave observations.

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