Combining Total Monte Carlo and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances

• DOI: 10.1016/j.pnucene.2016.11.006
• Publication Date: 2016-12-27T10:00:38Z
• Authors: P. Helgesson; H. Sjöstrand; A.J. Koning; J. Rydén; D. Rochman; E. Alhassan; S. Pomp
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

The Total Monte Carlo methodology (TMC) for nuclear data (ND) uncertainty propagation has been subject to some critique because the nuclear reaction parameters are sampled from distributions which ...