GEANT4 simulation study of a $$gamma$$-ray detector for neutron resonance densitometry
土屋 晴文; 原田 秀郎 ; 小泉 光生; 北谷 文人; 高峰 潤; 呉田 昌俊; 飯村 秀紀
Tsuchiya, Harufumi; Harada, Hideo; Koizumi, Mitsuo; Kitatani, Fumito; Takamine, Jun; Kureta, Masatoshi; Iimura, Hideki
We have proposed a system to quantify nuclear materials in melted fuels in the reactors of the Fukushima Daiichi Nuclear Power Plant. The system utilizes non destructive techniques combining neutron resonance transmission analysis (NRTA) and neutron resonance capture analysis (NRCA). This is because the melted fuels are though to involve not only nuclear materials but also impurities such as ${it e.g.}$ Hydrogen, Boron, Zirconium, and Iron. Using the combined system, we would be able to identify those non-nuclear materials by NRCA and accurately measure nuclear materials by NRTA. A $$gamma$$-ray detector for NRCA consists of a cylindrical LaBr$$_{3}$$ scintillation counter and a well-type LaBr$$_{3}$$ one. The well-type counter is served as a back-catcher detector and individual signals recorded in the two counters are summed to aim at reducing the Compton edge originating from $$^{137}$$Cs that generate intense background for the NRCA measurement. According to GEANT4 simulation, It can be seen that the Compton edge is suppressed by the well-type counter. For example, thanks to the well-type counter, a count at an energy of $$^{10}$$B-derived $$gamma$$-rays (478 keV) is reduced by $$sim$$0.15. In this presentation, we show performance of the $$gamma$$-ray detector using GEANT4 simulation. In addition, comparing results based on evaluated cross sections of ENDF-VII.0 with those based on JENDL-4.0, we discuss differences in performance expected for the $$gamma$$-ray detector.
使用言語 : English
掲載資料名 : JAEA-Conf 2013-002
ページ数 : p.119 - 124
発行年月 : 2013/10
出版社名 :
発表会議名 : 2012年度核データ研究会
開催年月 : 2012/11
開催都市 : 熊取
開催国 : 日本
特許データ :
論文URL :
キーワード : 福島第一原子力発電所事故; Fukushima Daiichi Nuclear Power Station Accident
使用施設 :
広報プレスリリース :
受委託・共同研究相手機関 :
登録番号 : BB20122364
抄録集掲載番号 :
論文投稿番号 : 13672
Accesses  (From Jun. 2, 2014)
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