Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions
نویسندگان
چکیده
The Bayesian neural network (BNN) method is used to construct a predictive model for fragment prediction of proton induced spallation reactions with the guidance simplified EPAX formula. Compared experimental data, it found that BNN + sEPAX can reasonably extrapolate less information compared method. provides new approach predict energy-dependent residual cross sections produced in proton-induced from tens MeV/u up several GeV/u.
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ژورنال
عنوان ژورنال: Journal of Physics G
سال: 2022
ISSN: ['1361-6471', '0954-3899']
DOI: https://doi.org/10.1088/1361-6471/ac7069