| Issue |
2014
SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
|
|
|---|---|---|
| Article Number | 02411 | |
| Number of page(s) | 8 | |
| Section | 2. Computational Science: d. Basic Physical Data and Uncertainty - Sensitivity Computation | |
| DOI | https://doi.org/10.1051/snamc/201402411 | |
| Published online | 06 June 2014 | |
Probability Tables: a generic tool for representing and propagating uncertainties
Commissariat à l’Énergie Atomique et aux Énergies Alternatives, DEN/DANS/DM2S/SERMA, CEA Saclay, 91191 Gif-sur-Yvette Cedex, France
* Corresponding Author, E-mail: mireille.coste-delclaux@cea.fr
Probability tables are a generic tool that allows representing any random variable whose probability density function is known. In the field of Nuclear Reactor Physics, this tool is currently used to represent the variation of cross-sections versus energy (TRIPOLI4®, MCNP, APOLLO2, ECCO/ERANOS, …). In the present article we show how we can propagate uncertainties, thanks to a probability table representation, through two very simple mathematical problems: an eigenvalue problem (neutron multiplication factor, …) or a depletion problem.
Key words: Random variable / Probability Tables / Uncertainties / Nuclear Data
© Owned by the authors, published by EDP Sciences, 2014