Volume 47 Issue 1
Jan.  2021
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HOU Donghui, ZHANG Shenyi, YANG Yigang, et al. Neutron measurement and inversion based on CLYC scintillator[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(1): 106-114. doi: 10.13700/j.bh.1001-5965.2019.0643(in Chinese)
Citation: HOU Donghui, ZHANG Shenyi, YANG Yigang, et al. Neutron measurement and inversion based on CLYC scintillator[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(1): 106-114. doi: 10.13700/j.bh.1001-5965.2019.0643(in Chinese)

Neutron measurement and inversion based on CLYC scintillator

doi: 10.13700/j.bh.1001-5965.2019.0643
Funds:

National Natural Science Foundation of China 41941001

More Information
  • Corresponding author: ZHANG Shenyi, E-mail: zsy@nssc.ac.cn
  • Received Date: 24 Dec 2019
  • Accepted Date: 17 Apr 2020
  • Publish Date: 20 Jan 2021
  • Neutron is one of the important radiation factors that affect the safety of spacecraft and astronauts. It is difficult for neutron measurement to optimize the neutron detector, improve the measurement efficiency, and improve the inversion accuracy. A neutron detector based on a new type of neutron detection material Cs2LiYCl6:Ce (CLYC) scintillator will be installed on the space station in China. This detector has the characteristics of measuring thermal neutrons and fast neutrons simultaneously, and has high detection efficiency, etc. For the neutron spectrum inversion of this detector, the response characteristics of different energy neutrons in the detetor are analyzed, and the advantages and disadvantages of the probabilistic iterative method and Non-Negative Least Square (NNLS) method commonly used in neutron spectrum inversion are analyzed, considering the disadvantages of these two methods in the inversion application of CLYC detector, a Non-Negative Least Square method based on the Augmented Matrix (AM-NNLS) is proposed. The numerical experiment results show that the AM-NNLS method has the characteristics of high inversion operation efficiency and small inversion relative error, which verifies the effectiveness of the method.

     

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