EPJ Web of Conferences (Jan 2023)

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

  • Kessedjian Grégoire,
  • Cheikh Sidi-Mohamed,
  • Serot Oliver,
  • Chebboubi Abdelhazize,
  • Bernard David,
  • Vallet Vanessa,
  • Mills Robert,
  • Capponi Luigi

DOI
https://doi.org/10.1051/epjconf/202328100022
Journal volume & issue
Vol. 281
p. 00022

Abstract

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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.