| Issue |
2014
SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
|
|
|---|---|---|
| Article Number | 02410 | |
| Number of page(s) | 4 | |
| Section | 2. Computational Science: d. Basic Physical Data and Uncertainty - Sensitivity Computation | |
| DOI | https://doi.org/10.1051/snamc/201402410 | |
| Published online | 06 June 2014 | |
SNA + MC 2013, 02410 (2014)
Nuclear data uncertainties for local power densities in the Martin-Hoogenboom benchmark
Nuclear Research and consultancy Group NRG, P.O. Box 25, 1755 ZG Petten, the Netherlands
The recently developed method of fast Total Monte Carlo to propagate nuclear data uncertainties was applied to the Martin-Hoogenboom benchmark. For each of the more than 6 million local power tallies, the uncertainty due to nuclear data uncertainties was calculated, based on random variation of data for 235U, 238U, 239Pu and H in H2O thermal scattering. In the center of the core region, the nuclear data uncertainty is 0.9%. Towards the edges of the core, this uncertainty increases to roughly 3%.
Key words: Monte Carlo / uncertainty / local power density
© Owned by the authors, published by EDP Sciences, 2014