2016年4月
Validation of Pb nuclear data by Monte Carlo analyses of sample reactivity experiments at Kyoto University Critical Assembly
JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY
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- 巻
- 53
- 号
- 4
- 開始ページ
- 602
- 終了ページ
- 612
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1080/00223131.2015.1068716
- 出版者・発行元
- TAYLOR & FRANCIS LTD
Sample reactivity experiments on the uncertainty analyses of Pb nuclear data are carried out by substituting Al plates for Pb ones at the Kyoto University Critical Assembly, as part of basic research on Pb-Bi for the coolant. Numerical simulations of sample reactivity experiments are performed with the Monte Carlo calculation code MCNP6.1 together with four nuclear data libraries JENDL-3.3, JENDL-4.0, ENDF/B-VII.0 and JEFF-3.1, to examine the accuracy of cross-section uncertainties of Pb isotopes by comparing measured and calculated sample reactivities. A library update from JENDL-3.3 to JENDL-4.0 is demonstrated by the fact that the difference between Pb isotopes of the two JENDL libraries is dominant in the comparative study, through the experimental analyses of sample reactivity by the MCNP approach. In addition, JENDL-4.0 reveals a slight difference from ENDF/B-VII.0 in all Pb isotopes and Al-27, and from JEFF-3.1 in U-238 and Al-27. Based on these results, further experiments are needed to investigate the uncertainties of Bi isotopes with the use of the Pb-Bi and Bi plates.
- リンク情報
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- DOI
- https://doi.org/10.1080/00223131.2015.1068716
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000370979000017&DestApp=WOS_CPL
- URL
- http://orcid.org/0000-0002-0706-6470
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84958111658&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84958111658&origin=inward
- ID情報
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- DOI : 10.1080/00223131.2015.1068716
- ISSN : 0022-3131
- eISSN : 1881-1248
- ORCIDのPut Code : 31387376
- SCOPUS ID : 84958111658
- Web of Science ID : WOS:000370979000017