Uncertainty propagation based on correlated sampling technique for nuclear data applications

Laureau, Axel; Lamirand, Vincent; Rochman, Dimitri; Pautz, Andreas

doi:10.1051/epjn/2020003

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Laureau A, Lamirand V, Rochman D & Pautz A

Citation

Laureau, A., Lamirand, V., Rochman, D., & Pautz, A. (2020). Uncertainty propagation based on correlated sampling technique for nuclear data applications. EPJ Nuclear Sciences and Technologies, 6, 8 (9 pp.). https://doi.org/10.1051/epjn/2020003

Persistent URL https://www.dora.lib4ri.ch/psi/islandora/object/psi:36658

A correlated sampling technique has been implemented to estimate the impact of cross section modifications on the neutron transport and in Monte Carlo simulations in one single calculation. This implementation has been coupled to a Total Monte Carlo approach which consists in propagating nuclear data uncertainties with random cross section files. The TMC-CS (Total Monte Carlo with Correlated Sampling) approach offers an interesting speed-up of the associated computation time. This methodology is detailed in this paper, together with two application cases to validate and illustrate the gain provided by this technique: the highly enriched uranium/iron metal core reflected by a stainless-steel reflector HMI-001 benchmark, and the PETALE experimental programme in the CROCUS zero-power light water reactor.

Details

Publication Type

Journal Article

Title

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Author(s)

Laureau, Axel

Lamirand, Vincent (4100 Reactor Physics and Thermal-Hydraulics)

Rochman, Dimitri (4102 Core Behaviour)

Pautz, Andreas (4000 Nuclear Energy and Safety)

Journal