Chinese Physics C, Volume. 44, Issue 1, (2020)
Isotopic cross-sections in proton induced spallation reactions based on the Bayesian neural network method *
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 MeV/u to 1500 MeV/u, it is demonstrated that the BNN method can provide good predictions of the residue fragment cross-sections in spallation reactions.
Get Citation
Copy Citation Text
Chun-Wang Ma, Dan Peng, Hui-Ling Wei, Zhong-Ming Niu, Yu-Ting Wang, R. Wada. Isotopic cross-sections in proton induced spallation reactions based on the Bayesian neural network method *[J]. Chinese Physics C, 2020, 44(1):
Category: Nuclear physics
Received: Jul. 18, 2019
Accepted: --
Published Online: Sep. 29, 2020
The Author Email: Ma Chun-Wang (machunwang@126.com)