EPJ Web of Conferences (Jan 2017)

Fission yield covariances for JEFF: A Bayesian Monte Carlo method

  • Leray Olivier,
  • Rochman Dimitri,
  • Fleming Michael,
  • Sublet Jean-Christophe,
  • Koning Arjan,
  • Vasiliev Alexander,
  • Ferroukhi Hakim

DOI
https://doi.org/10.1051/epjconf/201714609023
Journal volume & issue
Vol. 146
p. 09023

Abstract

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The JEFF library does not contain fission yield covariances, but simply best estimates and uncertainties. This situation is not unique as all libraries are facing this deficiency, firstly due to the lack of a defined format. An alternative approach is to provide a set of random fission yields, themselves reflecting covariance information. In this work, these random files are obtained combining the information from the JEFF library (fission yields and uncertainties) and the theoretical knowledge from the GEF code. Examples of this method are presented for the main actinides together with their impacts on simple burn-up and decay heat calculations.