論文

査読有り
2017年9月13日

Improvement of gross theory of beta-decay for application to nuclear data

EPJ Web of Conferences
  • Hiroyuki Koura
  • ,
  • Tadashi Yoshida
  • ,
  • Takahiro Tachibana
  • ,
  • Satoshi Chiba

146
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1051/epjconf/201714612003
出版者・発行元
EDP Sciences

A theoretical study of β decay and delayed neutron has been carried out with a global β-decay model, the gross theory. The gross theory is based on a consideration of the sum rule of the β-strength function, and gives reasonable results of β-decay rates and delayed neutron in the entire nuclear mass region. In a fissioning nucleus, neutrons are produced by β decay of neutron-rich fission fragments from actinides known as delayed neutrons. The average number of delayed neutrons is estimated based on the sum of the β-delayed neutron-emission probabilities multiplied by the cumulative fission yield for each nucleus. Such a behavior is important to manipulate nuclear reactors, and when we adopt some new high-burn-up reactors, properties of minor actinides will play an important roll in the system, but these data have not been sufficient. We re-analyze and improve the gross theory. For example, we considered the parity of neutrons and protons at the Fermi surface, and treat a suppression for the allowed transitions in the framework of the gross theory. By using the improved gross theory, underestimated half-lives in the neutron-rich indium isotopes and neighboring region increase, and consequently follow experimental trend. The ability of reproduction (and also prediction) of the β-decay rates, delayed-neutron emission probabilities is discussed. With this work, we have described the development of a programming code of the gross theory of β-decay including the improved parts. After preparation finished, this code can be released for the nuclear data community.

リンク情報
DOI
https://doi.org/10.1051/epjconf/201714612003
ID情報
  • DOI : 10.1051/epjconf/201714612003
  • ISSN : 2100-014X
  • ISSN : 2101-6275
  • SCOPUS ID : 85030479216

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