Nuclear data correlation between different isotopes via integral information
Nuclear data correlation between different isotopes via integral information
复制标题
通过积分信息实现不同同位素之间的核数据关联
DOI：
10.1051/epjn/2018006
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发表时间：
2018
影响因子：
0.5
通讯作者：
G. Perret
中科院分区：
文献类型：
--
作者：
D. Rochman;E. Baugé;A. Vasiliev;H. Ferroukhi;G. Perret
本文提出了一种基于积分实验的贝叶斯方法，用于创建差异数据中未出现的不同同位素之间的相关性。与应用微分数据的常用方法类似，用随机核数据呈现一组简单的贝叶斯方程。因此，可以获得更新的核数据（截面、裂变中子能谱和协方差矩阵），从而获得更好的积分结果。考虑到 Bigten 关键性基准，提出了 235 U 和 238 U 的示例。
This paper presents a Bayesian approach based on integral experiments to create correlations between different isotopes which do not appear with differential data. A simple Bayesian set of equations is presented with random nuclear data, similarly to the usual methods applied with differential data. As a consequence, updated nuclear data (cross sections, , fission neutron spectra and covariance matrices) are obtained, leading to better integral results. An example for 235 U and 238 U is proposed taking into account the Bigten criticality benchmark.