| Issue |
EPJ Web Conf.
Volume 281, 2023
5th International Workshop on Nuclear Data Covariances (CW2022)
|
|
|---|---|---|
| Article Number | 00011 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/epjconf/202328100011 | |
| Published online | 29 March 2023 | |
https://doi.org/10.1051/epjconf/202328100011
Discussion on variety of cross-section candidate obtained by cross-section adjustment method
Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
* Corresponding author: s-odani@ne.see.eng.osaka-u.ac.jp
Published online: 29 March 2023
The cross-section adjustment method gives only one best-estimated cross-section set based on Bayesian theory. In this study, cross-section sets other than the best-estimated set were discussed. The cross-section sets were obtained by the random sampling method using a covariance matrix adjusted by the cross-section adjustment method. 1,000,000 cross-section sets were obtained by the random sampling method. From these cross-section sets, significant cross-section sets other than the best-estimated set were considered. 593,340 cross-section sets that accurately evaluate nuclear characteristics were obtained. The result of the cross-section adjustment method shows that the change due to U235 χ is the largest positive. However, keff is not changed to the positive side by U235 χ in 179,994 of the 593,340 cross-section sets obtained by the random sampling method. Although the best-estimated cross-section set is obtained by the cross-section adjustment method, the result suggests there are various candidates for the adjusted cross-section set.
© The Authors, published by EDP Sciences, 2023
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