Covariance analysis of 235U(nth,f) independent and cumulative fission yields: Propositions for JEFF4

G. Kessedjian, S. Cheikh, Oliver Serot, A. Chebboubi, D. Bernard, V. Vallet, R. Mills, L. Capponi
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Abstract

The study of fission yields has a major impact on the characterization and understanding of the fission process and its applications. Fission yield evaluations represent the synthesis of experimental and theoretical knowledge in order to perform the best estimation of independent fission yields. Today, the lack of correlations between the different fission observables induces several inconsistencies in the evaluations. Different works proposed to estimate the correlations of the independent fission yields satisfying the consistency to the chain yield evaluations. Nevertheless, none of them introduces a prior correlations of the independent and chain evaluations in the evaluation process. Covariance matrix of fission yields depends on the evaluation method used according to the kinds of existing measurements. The consistency is deeply entangled to the statistical agreement between each dataset considering the covariance of measurements. Moreover, covariance of model parameters does not represent the only contribution to the evaluation covariance matrix. Thus, a new evaluation process is crucial to provide a complete and coherent evaluation file. The LEPh Laboratory of CEA Cadarache is developing this program for the future version of the JEFF-library.
235U(n,f)独立和累积裂变产率的协方差分析:JEFF4的命题
裂变产率的研究对裂变过程的表征和理解及其应用具有重要影响。裂变产率评估代表了实验和理论知识的综合,以便对独立裂变产率进行最佳估计。今天,不同的裂变观测值之间缺乏相关性导致了评估中的一些不一致。不同的研究提出了满足链产率评价一致性的独立裂变产率的相关性估计。然而,它们都没有在评价过程中引入独立和连锁评价的先验相关性。裂变产率的协方差矩阵取决于根据现有测量的种类所采用的评估方法。考虑到测量的协方差,一致性与各数据集之间的统计一致性密切相关。此外,模型参数的协方差并不代表评价协方差矩阵的唯一贡献。因此,一个新的评价过程对于提供一个完整和连贯的评价文件至关重要。CEA Cadarache的LEPh实验室正在为杰夫库的未来版本开发这个程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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