Improving PWR core simulations by Monte Carlo uncertainty analysis and Bayesian inference

Authors: Castro, Emilio, Ahnert, Carolina, Buss, Oliver, Garcia-Herranz, Nuria, Hoefer, Axel, Porsch, Dieter

Source: Annals of Nuclear Energy 95 (2016), pages 148-156

Subject Terms: Nuclear Theory, Physics - Instrumentation and Detectors

Access URL: http://arxiv.org/abs/1601.08036

MOCABA: a general Monte Carlo-Bayes procedure for improved predictions of integral functions of nuclear data

Authors: Hoefer, Axel, Buss, Oliver, Hennebach, Maik, Schmid, Michael, Porsch, Dieter

Source: Annals of Nuclear Energy (2015) pp. 514-521

Subject Terms: Nuclear Theory

Access URL: http://arxiv.org/abs/1411.3172

Comparison of nuclear data uncertainty propagation methodologies for PWR burn-up simulations

Authors: Diez, Carlos Javier, Buss, Oliver, Hoefer, Axel, Porsch, Dieter, Cabellos, Oscar

Source: Annals of Nuclear Energy, Volume 77 (March 2015), Pages 101-114

Subject Terms: Nuclear Theory, Nuclear Experiment

Access URL: http://arxiv.org/abs/1411.0834

Plutonium recycling in light water reactors at Framatome ANP: status and trends.

Authors: Porsch, Dieter, Stach, Walter, Charmensat, Pascal

Source: Nuclear Technology; August 2005, Vol. 151 Issue 2, p159-167, 9p

Plutonium management in the medium term.

Authors: Hesketh, Kevin, Schlosser, Gerhard, Porsch, Dieter F.

Source: Nuclear Technology; Dec2004, Vol. 148 Issue 3, p244-258, 15p