論文

査読有り
2011年3月

A method of neutron energy evaluation by using an imaging plate and cone-like acryl converters with a geometrical modulation concept

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
  • A. Nohtomi
  • N. Sugiura
  • T. Itoh
  • G. Wakabayashi
  • T. Sakae
  • T. Terunuma
  • K. Yabuta
  • M. Tamura
  • T. Fujibuchi
  • T. Takata
  • K. Kume
  • 全て表示

633
1
開始ページ
36
終了ページ
45
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.nima.2010.12.231
出版者・発行元
ELSEVIER SCIENCE BV

Cone-like acryl converters have been used for transforming the energy-distribution information of incident fast neutrons into the spatial-distribution information of recoil protons. The characteristics of neutron-proton conversion have been studied up to around 10 MeV by using an imaging plate (IP). A notable and interesting signal enhancement due to recoil protons generated in an acryl converter was observed on IP images for irradiation with a (252)Cf source. Similar experiments were also performed in the radiation field of a research nuclear reactor and an accelerator-based neutron generator. A Monte Carlo calculation was carried out in order to understand the spatial distributions of the signal enhancement by recoil protons; these distributions promisingly involve the energy information of incident neutrons in principle. Consequently, it has been revealed that the neutron energy evaluation is surely possible by analyzing the spatial distributions of signal enhancement that is caused by recoil protons. (C) 2011 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.nima.2010.12.231
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000288572700006&DestApp=WOS_CPL
URL
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79951809921&origin=inward
ID情報
  • DOI : 10.1016/j.nima.2010.12.231
  • ISSN : 0168-9002
  • SCOPUS ID : 79951809921
  • Web of Science ID : WOS:000288572700006

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