Application of the extended bias factor method for highly reliable benchmark suite

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 outlie...

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Bibliographic Details
Published in:EPJ Web of conferences 2023, Vol.281, p.2
Main Authors: Tokashiki, Mikio, Ikehara, Tadashi, Tada, Kenichi, Egawa, Tohru, Yokoyama, Kenji, Iwamoto, Osamu
Format: Article
Language:English
Subjects:
Benchmarks
Bias
Covariance
Cross-sections
Nuclides
Outliers (statistics)
Citations: Items that this one cites
Online Access:Get full text
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Summary: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.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/202328100002