Skip to main navigation Skip to search Skip to main content

Validation of Pb nuclear data by Monte Carlo analyses of sample reactivity experiments at Kyoto University Critical Assembly

  • Cheol Ho Pyeon
  • , Atsushi Fujimoto
  • , Takanori Sugawara
  • , Takahiro Yagi
  • , Hiroki Iwamoto
  • , Kenji Nishihara
  • , Yoshiyuki Takahashi
  • , Ken Nakajima
  • , Kazufumi Tsujimoto

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

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 27Al, and from JEFF-3.1 in 238U and 27Al. 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.

Original languageEnglish
Pages (from-to)602-612
Number of pages11
JournalJournal of Nuclear Science and Technology
Volume53
Issue number4
DOIs
StatePublished - 2 Apr 2016
Externally publishedYes

Keywords

  • JENDL-4.0
  • KUCA
  • Monte Carlo
  • cross-section
  • lead
  • reactivity
  • validation

Fingerprint

Dive into the research topics of 'Validation of Pb nuclear data by Monte Carlo analyses of sample reactivity experiments at Kyoto University Critical Assembly'. Together they form a unique fingerprint.

Cite this