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 X = 1.32+0.28 -0.40 at 68% confidence level assuming the nuclear incompressibility K will not exceed 400 MeV, providing circumstantial evidence for enhanced baryon-braryon scattering cross sections in hot and dense nuclear matter.(c) 2023 Elsevier B.V. All rights reserved.

Automated summary

Within a Bayesian statistical framework, a Gaussian Process emulator is used to simulate the posterior probability distribution functions of in-medium baryon-baryon scattering cross section modification factor X and the corresponding incompressibility K of nuclear matter. The analysis indicates the possibility of enhanced baryon-baryon scattering cross sections in hot and dense nuclear matter.