Fast nuclide identification based on a sequential bayesian method

Xiao-Zhe Li; Qing-Xian Zhang; He-Yi Tan; Zhi-Qiang Cheng; Liang-Quan Ge; Guo-Qiang Zeng; Wan-Chang Lai

doi:10.1007/s41365-021-00982-z

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Fast nuclide identification based on a sequential bayesian method

NUCLEAR ELECTRONICS AND INSTRUMENTATION | Updated：2022-01-14

- Fast nuclide identification based on a sequential bayesian method
- Fast nuclide identification based on a sequential bayesian method
- Nuclear Science and Techniques 2021年32卷第12期文章编号：143
- Affiliations：
  
  1.Chengdu University of Technology, The College of Nuclear Technology and Automation Engineering, ChengDu 610059, China
- Author bio：
  
  *shinecore@163.com
- Funds：
  
  National Natural science Foundation of China(41774190);National Key R&D Program of China(2017YFC0602105);Department of Science and Technology of Sichuan Province(2020JDRC0109)
- DOI：10.1007/s41365-021-00982-z
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Xiao-Zhe Li, Qing-Xian Zhang, He-Yi Tan, 等. Fast nuclide identification based on a sequential bayesian method[J]. Nuclear Science and Techniques, 2021,32(12):143

Xiao-Zhe Li, Qing-Xian Zhang, He-Yi Tan, et al. Fast nuclide identification based on a sequential bayesian method[J]. Nuclear Science and Techniques, 2021,32(12):143
Xiao-Zhe Li, Qing-Xian Zhang, He-Yi Tan, 等. Fast nuclide identification based on a sequential bayesian method[J]. Nuclear Science and Techniques, 2021,32(12):143 DOI： 10.1007/s41365-021-00982-z.

Xiao-Zhe Li, Qing-Xian Zhang, He-Yi Tan, et al. Fast nuclide identification based on a sequential bayesian method[J]. Nuclear Science and Techniques, 2021,32(12):143 DOI： 10.1007/s41365-021-00982-z.

摘要

Abstract

The rapid identification of radioactive substances in public areas is crucial. However, traditional nuclide identification methods only consider information regarding the full energy peaks of the gamma-ray spectrum and require long recording times, which lead to long response times. In this paper, a novel identification method using the event mode sequence (EMS) information of target radionuclides is proposed. The EMS of a target radionuclide and natural background radiation were established as two different probabilistic models and a decision function based on Bayesian inference and sequential testing was constructed. The proposed detection scheme individually processes each photon. When a photon is detected and accepted, the corresponding posterior probability distribution parameters are estimated using Bayesian inference and the decision function is updated. Then, value of the decision function is compared to preset detection thresholds to obtain a detection result. Experiments on different target radionuclides (,137,Cs and ,60,Co) were performed. The count rates of the regions of interest (ROI) in the backgrounds between [651, 671], [1154, 1186], and [1310, 1350] keV were 5.05, 3.83, and 3.61 CPS, respectively. The experimental results demonstrate that the proposed method can identify ,137,Cs in 3.8 s with a full energy peak count rate of 5.05 s,−1, and can identify ,60,Co in 4.1 s with a full energy peak count rate of 7.44 s,−1,. The results demonstrate that the proposed method can detect radioactive substances with low activity.

关键词

Keywords

Natural radiationNuclide identificationSequential testingNuclear safety

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