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Bayesian inference of in-medium baryon-baryon scattering cross sections from HADES proton flow data
Within a Bayesian statistical framework using a Gaussian Process emulator for
an isospin-dependent Boltzmann-Uehling-Uhlenbeck (IBUU) transport model
simulator of heavy-ion reactions at intermediate energies, we infer from the
HADES proton flow data the posterior probability distribution functions of
in-medium baryon-baryon scattering cross section modification factor X with
respect to free-space and the corresponding incompressibility K of nuclear
matter as well as their correlation function. The mean value of X is found to
be at 68\% confidence level assuming the nuclear
incompressibility K will not exceed 400 MeV, providing circumstantial evidence
for enhanced baryon-baryon scattering cross sections in hot and dense nuclear
matter.Comment: Added a section on Effects of Prior Ranges. Nuclear Physics A in
pres
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