arXiv:2109.01388·v1·Nuclear Theory
Bayesian evaluation of residual production cross sections in proton induced spallation reactions
Peng Dan · Hui-Ling Wei · Xi-Xi Chen · Xiao-Bao Wei · Yu-Ting Wang · Jie Pu · Kai-Xuan Cheng · Chun-Wang Ma
Abstract
The Bayesian neural network (BNN) method is used to construct a predictive model for fragment prediction of proton induced spallation reactions with the guidance of a simplified EPAX formula. Compared to the experimental data, it is found that the BNN + sEPAX model can reasonably extrapolate with less information compared with BNN method. The BNN + sEPAX method provides a new approach to predict the energy-dependent residual cross sections produced in proton-induced spallation reactions from tens of MeV/u up to several GeV/u.
Comments: 9 pages, 1 table, and 7 figures