English

Bayesian inference of in-medium baryon-baryon scattering cross sections from HADES proton flow data

Nuclear Theory 2023-08-15 v2 Nuclear Experiment

Abstract

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=1.320.40+0.28X=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-baryon scattering cross sections in hot and dense nuclear matter.

Keywords

Cite

@article{arxiv.2303.10474,
  title  = {Bayesian inference of in-medium baryon-baryon scattering cross sections from HADES proton flow data},
  author = {Bao-An Li and Wen-Jie Xie},
  journal= {arXiv preprint arXiv:2303.10474},
  year   = {2023}
}

Comments

Added a section on Effects of Prior Ranges. Nuclear Physics A in press