| Issue |
EPJ Web Conf.
Volume 281, 2023
5th International Workshop on Nuclear Data Covariances (CW2022)
|
|
|---|---|---|
| Article Number | 00002 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202328100002 | |
| Published online | 29 March 2023 | |
https://doi.org/10.1051/epjconf/202328100002
Application of the extended bias factor method for highly reliable benchmark suite
1 Nuclear Fuel Industries, Ltd., Shinsugita-cho, Isogo, Yokohama 235-8523, Japan
2 Japan Atomic Energy Agency, Tokai-mura, Ibaraki 319-1195, Japan
3 Japan Atomic Energy Agency, Oarai-machi, Ibaraki 311-1393, Japan
* Corresponding author: tokasiki@nfi.co.jp
** Present affiliation: Toshiba Energy Systems & Solutions Corporation
Published online: 29 March 2023
It was tried to get useful information feedback on cross section and covariance by application of extended bias factor method with experimental benchmarks’ C/E, sensitivity coefficient and covariance data. As a result, it was succeeded to distinguish “the case unrecommended by specialists” as outlier case. And it was succeeded to get the hints that there is room for improvement in cross section or covariance of some nuclides by investigating outlier cases judged as recommended case by specialists.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.