推进核数据评价理论[幻灯片]

G. Arbanas, Jesse M. Brown, D. Wiarda
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引用次数: 0

摘要

我们介绍了r -矩阵形式的最新进展,以及用于改进核数据评估的贝叶斯评估框架。r矩阵形式化的进展包括:1)直接过程,2)门道,以及多步骤过程,以及3)消除捕获通道的各种形式的Reich-Moore近似。此外,为了解决在使用贝叶斯定理的传统形式对大数据集进行核数据评估时经常遇到的不合理的小后验不确定性,我们引入了(数据或模型的)不完善性作为一种正式的评估工具,用于驯服与贝叶斯定理相协调的评估不确定性。这些理论进展是由使用代码SAMMY的微分分辨共振截面数据的核数据评估以及使用SCALE代码系统的积分基准实验所推动的,这些实验正在橡树岭国家实验室进行核临界安全计划。将介绍新形式主义的一些教学应用,以及萨米现代化努力的简要介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing the Theory of Nuclear Data Evaluations [Slides]
: We present recent advances in the R-matrix formalism as well as the Bayesian evaluation framework for improved nuclear data evaluations. The advances in the R-matrix formalism include: 1) direct processes, 2) doorway, as well as multistep, processes, and 3) various forms of the Reich-Moore approximation for eliminated capture channels. Furthermore, to address unreasonably small posterior uncertainties often encountered in nuclear data evaluations of large data sets using the conventional form of the Bayes’ theorem, we introduce imperfections (of the data or the model) as a formal evaluation tool for taming the evaluated uncertainties in harmony with Bayes’ theorem. These theoretical advances were motivated by the nuclear data evaluations of differential resolved resonance cross section data using the code SAMMY, as well as the integral benchmark experiments using the SCALE code system, being performed at Oak Ridge National Laboratory for the Nuclear Criticality Safety Program. Some pedagogical applications of the new formalism, as well as a snapshot of the SAMMY modernization efforts, will be presented.
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