Bayesian inference of in-medium baryon-baryon scattering cross sections from HADES proton flow data
Journal Article
·
· Nuclear Physics. A
- Texas A & M University, Commerce, TX (United States); Texas A&M University-Commerce
- 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
- Alternate ID(s):
- OSTI ID: 2280881
- 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
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