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

Ming-Zhe Liu; Bing-Qi Liu; Zhuo Zuo; Lei Wang; Gui-Bin Zan; Xian-Guo Tuo

doi:10.1088/1674-1137/40/6/066201

Chinese Physics C> 2016, Vol. 40> Issue(6) : 066201 DOI: 10.1088/1674-1137/40/6/066201

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

Ming-Zhe Liu ^1,2,, ,
Bing-Qi Liu ² ,
Zhuo Zuo ² ,
Lei Wang ² ,
Gui-Bin Zan ² ,
Xian-Guo Tuo ^1,,

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

Abstract
HTML
Reference
Related

PDF

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.
- neutron ,
- fractal spectrum

References

[1]	B. D. Mellow, Digital processing in neutron spectrometry, 2006, (Lancaster:Lancaster University)
[2]	G. Knoll, Radiation Detection and Measurement, 3rd, 2000, (New York:Wiley)
[3]	G. Y. Chen, Y. Xin, F. C. Huang, et al, Acta Phys, 2012, Sin.618082901(in Chinese)
[4]	J. Q. Faisal, J. L. Lou, Z. H. Li, et al, Nuclear Science and Techniques, 21(1):35-38(2010)
[5]	X. X. Li, Y. Wang, C. Q. Huang, et al, Nuclear Science and Techniques, 21(3):157-160(2010)
[6]	B. D. Mellow, M. D. Aspinall, R. O. Mackin. Nuclear Instruments and Methods in Physics Research Section A:Accelerators, Spectrometers, Detectors and Associated Equipment, 578(1):191-197(2007)
[7]	C. Liao, H. Yang, Annals of Nuclear Energy, 69:57-61(2014)
[8]	D. Z. Liu, Y. J. Li, Y. L. Li, Q. Yue, J. Li, Chinese Physics C, 27 (11):943-94(2003)
[9]	X. P. Ouyang, Z. F. Li, Q. S. Wang, and Y. K. Huo, Chinese Physics C, 29 (04):399-403(2005)
[10]	Y. H. Chen, X. M. Chen, X. D. Zhang, J. R. Lei, An L, Shao J X, Zheng P, Wang X H, Zhu C X, T He and J Yang, Chinese Physics C, 38 (3):036001(2014)
[11]	Y. Yang, G. F. Liu, J. Yang, X. L. Luo and D. Y. Meng, Chinese Physics C, 38 (3):036202(2014)
[12]	L. Nowicki, E. Piaseeki, J. Sobolewski, Nuclear Physics A, 375(2):187-192(1982)
[13]	M. Amiri. Discrimination of neutron and photon signals, Ph. D. Dissertation, 2012, (Brno:Masaryk University 2012)(in chinese)
[14]	P. D. Zecher, A. Galonsky, D. E. Carter et al, Nuclear Instruments and Methods in Physics Research Section A:Accelerators, Spectrometers, Detectors and Associated Equipment, 508(3):434-439(2013)
[15]	C. Liao, H. Yang, Annals of Nuclear Energy, 69:57-61(2014)
[16]	B. D. Mellow, Digital processing in neutron spectrometry, 2006, (Lancaster:Lancas-ter University)
[17]	M. D. Aspinall, B. D. Mellow, R. O. Mackin, Nuclear Instruments and Methods in Physics Research Section A:Accelerators, Spectrometers, Detectors and Associated Equipment, 578 (1):261-266(2007)
[18]	M. D. Aspinall, Real time digital assay of mixed radiation field Ph. D., 2008, (Lancaster:Lancaster University 2008) in Chinese
[19]	Z. Cao, L. F. Millera, M. Bucknerb, Nuclear Instruments and Methods in Physics Research Section A:Accelerators, Spectrometers, Detectors and Associated Equipment, 416(2-3):438-445(1998)
[20]	G. Liu, M. D. Aspinall, X. Ma, et al, Nuclear Instruments and Methods in Physics Research Section A:Accelerators, Spectrometers, Detectors and Associated Equipment, 607(3):620-628(2009)
[21]	S. Yousefi, L. Lucchese, M. D. Aspinall, Nuclear Instruments and Methods in Physics Research Section A:Accelerators, Spectrometers, Detectors and Associated Equipment, 598(2):551-555(2009)
[22]	N. V. Kornilov, V. A. Khriatchkov, M. Dunaev, et al, Nuclear Inst and Methods in Physics Research A, 497(2):467-478(2003)
[23]	A. Vishwesh, Vyawahare and P.S.V. Nataraj, Applied Mathematical Modelling, 37(23):9747-9767(2013)
[24]	L.R. Bishnoi, R.P. Vedula, Nuclear Engineering and Design, 265:393-401(2013)
[25]	M. P. Shorta, D. Husseyb, B. K. Kendrickd, T. M. Besmannc, C. R. Stanekd, and S. Yipa, Journal of Nuclear Materials, 443(3):579-587(2013)
[26]	Zhu H, Ji C C, Fractal Theory and its Applications (1st Ed.), 2011, (Beijing:Science Press) (in Chinese)

Access

Get Citation

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

RIS(for EndNote,Reference Manager,ProCite)

BibTex

Txt

Milestone

Received: 2015-05-12

Fund

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

Article Metric

Article Views(2947)
PDF Downloads(286)
Cited by(0)

Policy on re-use

To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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

Received Date: 2015-05-12

Available Online: 2016-06-05

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.

HTML

Reference (26)

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

Abstract：

References

Access

Article Metrics

Metrics

通讯作者: 陈斌, bchen63@163.com

Email This Article