65 citations · 112 across the 2 of their papers we have counts for
2 papers
nucl-th2014★ 65 cited
MOCABA: a general Monte Carlo-Bayes procedure for improved predictions of integral functions of nuclear data
Axel Hoefer, Oliver Buss, Maik Hennebach +2
MOCABA is a combination of Monte Carlo sampling and Bayesian updating algorithms for the prediction of integral functions of nuclear data, such as reactor power distributions or ne…
nucl-th2014★ 47 cited
Comparison of nuclear data uncertainty propagation methodologies for PWR burn-up simulations
Carlos Javier Diez, Oliver Buss, Axel Hoefer +2
Several methodologies using different levels of approximations have been developed for propagating nuclear data uncertainties in nuclear burn-up simulations. Most methods fall into…