A Bayesian Monte Carlo method for fission yield covariance information
作者： D. Rochman , O. Leray , A. Vasiliev , H. Ferroukhi , A.J. Koning
DOI: 10.1016/J.ANUCENE.2016.05.005
关键词:
摘要: Abstract The present work proposes a Bayesian method to combine theoretical fission yields with set of reference data. These two sources information are merged using Monte Carlo process, and leads so-called update. Examples presented for the independent four major actinides, GEF code as source calculations an evaluated library impact updated their covariances is shown distinct applications: UO 2 pincell burn-up up 40 GWD/tHM decay heat thermal neutron pulse on 235 U 239 Pu.
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