Isotopic cross-sections in proton induced spallation reactions based on the Bayesian neural network method

• 来源期刊: 中国物理C（英文版）
• 年，卷（期）: 2020,（1）
• 页码范围: 111-122
• 页数: 12页
• 语种: 英文
• DOI: 10.1088/1674-1137/44/1/014104

摘要

The Bayesian neural network (BNN) method is proposed to predict the isotopic cross-sections in proton induced spallation reactions.Learning from more than 4000 data sets of isotopic cross-sections from 19 experimental measurements and 5 theoretical predictions with the SPACS parametrization,in which the mass of the spallation system ranges from 36 to 238,and the incident energy from 200 MeWu to 1500 MeV/u,it is demonstrated that the BNN method can provide good predictions of the residue fragment cross-sections in spallation reactions.