Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo

E. Alhassan, D. Rochman, H. Sjöstrand +3

In this work, a method is proposed for combining differential and integral benchmark experimental data within a Bayesian framework for nuclear data adjustments and multi-level unce…