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Study on the initial sensitivity of prompt response self-powered neutron detector in Nuclear Reactor
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Science & Technology Review | 2022, 40(24) : 64 - 71
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Science & Technology Review | 2022, 40(24): 64-71
Exclusive:Energy Strategy
Study on the initial sensitivity of prompt response self-powered neutron detector in Nuclear Reactor
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WU Xiong1,2, CAI Li3, ZHANG Xiangju3, LU Haoliang3, JIANG Jieqiong1
Affiliations
    1. Hefei Institute of Physical Science, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei 230031, China;
    2. University of Science and Technology of China, Hefei 230026, China;
    3. China Nuclear Power Technology Research Institute Co., Ltd., Shenzhen 518031, China
Published: 2022-12-28 doi: 10.3981/j.issn.1000-7857.2022.24.007
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In this paper, the prototype with Cobalt-59 emitter as a representative of instantaneous SPND was developed and modeled to calculate its initial sensitivity. This calculation model is based on Monte Carlo method of multi-particle coupling transportation. And some important details, such as the physical characteristics of cobalt SPND, the generation of signal current, were discussed thoroughly. The research results from this model are compared with experimental results by using gold foilactivation methods and show a very good agreement. The maximum relative error is not greater than 5%. It demonstrated that this method can be successfully applied in SPND calculation and better than determinism method.
SPND  /  Cobalt-59  /  prompt feedback  /  neutron sensitivity  /  Monte Carlo method
WU Xiong, CAI Li, ZHANG Xiangju, LU Haoliang, JIANG Jieqiong. Study on the initial sensitivity of prompt response self-powered neutron detector in Nuclear Reactor[J]. Science & Technology Review, 2022 , 40 (24) : 64 -71 . DOI: 10.3981/j.issn.1000-7857.2022.24.007
Year 2022 volume 40 Issue 24
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doi: 10.3981/j.issn.1000-7857.2022.24.007
  • Receive Date:2022-07-08
  • Online Date:2023-01-11
  • Published:2022-12-28
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  • Received:2022-07-08
  • Revised:2022-09-21
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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