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Sensitivity and uncertainty analyses of fission product nuclide inventories for passive gamma spectroscopy

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Title: Sensitivity and uncertainty analyses of fission product nuclide inventories for passive gamma spectroscopy
Authors: Chiba, Go Browse this author →KAKEN DB
Honta, Keisuke Browse this author
Keywords: Passive gamma spectroscopy
fission products nuclides
sensitivity analysis
uncertainty quantification
Issue Date: Dec-2020
Publisher: Taylor & Francis
Journal Title: Journal of nuclear science and technology
Volume: 57
Issue: 12
Start Page: 1265
End Page: 1275
Publisher DOI: 10.1080/00223131.2020.1780993
Abstract: The passive gamma spectroscopy (PGS) is a useful technique to extract information on spent nuclear fuels without any destructive actions. This method requires a correlation between number densities (NDs) of target nuclides, and it is generally estimated by numerical simulation. Therefore, the prediction accuracy of these nuclide generations is one of the key issues in PGS. Nuclear data used in nuclear fuel depletion calculations is one of the dominant uncertainty sources, so we quantify nuclear data-induced uncertainties of NDs of six fission product nuclides, which are important in PGS: Ce-144, Cs-134, -137, Ru-106, Sb-125, and Eu-154. Generation mechanisms of these nuclides are quantitatively investigated through sensitivities of these NDs to nuclear data. With the sensitivities and covariance data of nuclear data, uncertainties of NDs of these nuclides are quantified. The uncertainties of Ce-144, Cs-137, and Ru-106 are less than 2%, and that of Sb-125 is around 6%. In these uncertainties, fission yield uncertainties are dominant. On the Cs-134 and Eu-154 generations, total uncertainties are around 5% and uncertainties of (n,) cross-sections are dominant. Those calculations are carried out with BWR pincellmodels, but it is also confirmed that results obtained with a BWR fuel assembly modelare quite similar to those in the pincell models.
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of nuclear science and technology on Dec 2020, available online:
Type: article (author version)
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 千葉 豪

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