Nuclear data uncertainty for criticality-safety: Monte Carlo vs. linear perturbation
D Rochman, A Vasiliev, H Ferroukhi, T Zhu… - Annals of Nuclear …, 2016 - Elsevier
This work is presenting a comparison of results for different methods of uncertainty
propagation due to nuclear data for 330 criticality-safety benchmarks. Covariance
information is propagated to k eff using either Monte Carlo methods (NUSS: based on
existing nuclear data covariances, and TMC: based on reaction model parameters) or
sensitivity calculations from MCNP6 coupled with nuclear data covariances. We are showing
that all three methods are globally equivalent for criticality calculations considering the two …
propagation due to nuclear data for 330 criticality-safety benchmarks. Covariance
information is propagated to k eff using either Monte Carlo methods (NUSS: based on
existing nuclear data covariances, and TMC: based on reaction model parameters) or
sensitivity calculations from MCNP6 coupled with nuclear data covariances. We are showing
that all three methods are globally equivalent for criticality calculations considering the two …