Toward a fractal spectrum approach for neutron and gamma pulse shape discrimination

  • Accurately selecting neutron signals and discriminating γ signals from a mixed radiation field is a key research issue in neutron detection. This paper proposes a fractal spectrum discrimination approach by means of different spectral characteristics of neutrons and γ rays. Figure of merit and average discriminant error ratio are used together to evaluate the discrimination effects. Different neutron and γ signals with various noise and pulse pile-up are simulated according to real data in the literature. The proposed approach is compared with the digital charge integration and pulse gradient methods. It is found that the fractal approach exhibits the best discrimination performance, followed by the digital charge integration method and the pulse gradient method, respectively. The fractal spectrum approach is not sensitive to high frequency noise and pulse pile-up. This means that the proposed approach has superior performance for effective and efficient anti-noise and high discrimination in neutron detection.
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Ming-Zhe Liu, Bing-Qi Liu, Zhuo Zuo, Lei Wang, Gui-Bin Zan and Xian-Guo Tuo. Toward a fractal spectrum approach for neutron and gamma pulse shape discrimination[J]. Chinese Physics C, 2016, 40(6): 066201. doi: 10.1088/1674-1137/40/6/066201
Ming-Zhe Liu, Bing-Qi Liu, Zhuo Zuo, Lei Wang, Gui-Bin Zan and Xian-Guo Tuo. Toward a fractal spectrum approach for neutron and gamma pulse shape discrimination[J]. Chinese Physics C, 2016, 40(6): 066201.  doi: 10.1088/1674-1137/40/6/066201 shu
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Received: 2015-05-12
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    Supported by the National Natural Science Foundation of China (41274109), Sichuan Youth Science and Technology Innovation Research Team (2015TD0020), Scientific and Technological Support Program of Sichuan Province (2013FZ0022), and the Creative Team Program of Chengdu University of Technology

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Toward a fractal spectrum approach for neutron and gamma pulse shape discrimination

    Corresponding author: Ming-Zhe Liu,
    Corresponding author: Xian-Guo Tuo,
  • 1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology), Chengdu 610059, China
  • 2. College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China
  • 3.  College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China
  • 4.  State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology), Chengdu 610059, China
Fund Project:  Supported by the National Natural Science Foundation of China (41274109), Sichuan Youth Science and Technology Innovation Research Team (2015TD0020), Scientific and Technological Support Program of Sichuan Province (2013FZ0022), and the Creative Team Program of Chengdu University of Technology

Abstract: Accurately selecting neutron signals and discriminating γ signals from a mixed radiation field is a key research issue in neutron detection. This paper proposes a fractal spectrum discrimination approach by means of different spectral characteristics of neutrons and γ rays. Figure of merit and average discriminant error ratio are used together to evaluate the discrimination effects. Different neutron and γ signals with various noise and pulse pile-up are simulated according to real data in the literature. The proposed approach is compared with the digital charge integration and pulse gradient methods. It is found that the fractal approach exhibits the best discrimination performance, followed by the digital charge integration method and the pulse gradient method, respectively. The fractal spectrum approach is not sensitive to high frequency noise and pulse pile-up. This means that the proposed approach has superior performance for effective and efficient anti-noise and high discrimination in neutron detection.

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