In the field of nuclear astrophysics,the13C(α,n)16O reaction is one of the key neutron source reactions for synthesizing super-iron elements.Furthermore,the cross-section of this reaction has a significant impact on the abundance of the s-and i-processes.So far,more than a dozen international groups have measured the cross-section data of this reaction.However,the largest difference of the experimental data below Ec.m.=0.27 MeV reaches 130％,leading to significant uncertainty of the theoretical prediction in the lower incident energy region.This paper systematically compares and analyzes the measurement data(2210 experimental points contributed by 13 groups)for 13C(α,n)16O reaction in the center-of-mass system energy range Ec.m.=0.1-6 MeV using two different data classification methods based on the Bayesian neural network approach.The results indicate that(1)both classification methods can accurately reproduce the measured data,particularly the details of resonance peaks,and(2)the data measured by JUNA in China exhibit a higher degree of reliability and confidence in extrapolation.
万方数据
