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

Journal Article · 27 July 2023 · Nuclear Physics. A

DOI: https://doi.org/10.1016/j.nuclphysa.2023.122726 · OSTI ID:1997072

Li, Bao-An  ^[1]; Xie, Wen-Jie ^[2]

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1. Texas A & M University, Commerce, TX (United States); Texas A&M University-Commerce
2. Yuncheng University (China)

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. In conclusion, 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.

• Research Organization: Texas A & M University, Commerce, TX (United States); Texas A&M University-Commerce, TX (United States)
• Sponsoring Organization: Natural Science Foundation of Shanxi Province; Shaanxi Provincial Foundation for Returned Overseas Scholars; USDOE Office of Science (SC)
• Grant/Contract Number: SC0009971; SC0013702
• OSTI ID: 1997072
• Journal Information: Nuclear Physics. A, Journal Name: Nuclear Physics. A Vol. 1039; ISSN 0375-9474
• Publisher: ElsevierCopyright Statement
• Country of Publication: United States
• Language: English