Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

Hammad, M. E.; Kasban, H.; Fikry, R. M.; Elaraby, Sayed M. S.; Dessouky, M.I.; Zahran, O.; Abd El-Samie, F. E.

doi:10.21608/mjeer.2020.103256

Efficient Discrimination of Neutron and Gamma Rays using Different Digital Pulse Processing Algorithms

Document Type : Original Article

Authors

¹ Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt

² Dept. of Communications Faculty of Electronic Engineeing, Menofia University Menouf, Egypt

10.21608/mjeer.2020.103256

Abstract

In different neutron measurement experiments, it is necessary to apply pulse processing method to distinguish neutron pulses from gamma pulses. The discrimination process is based on the different decaying response of the detector for both neutron and gamma events. Different proposed algorithms are presented in this paper for determining the radiation type of detector output. In the proposed algorithms, features are extracted from the input radiation event. These features are extracted using charge integration, Hilbert transformation, and matched filtering methods. The extracted features are then fed the discriminator which is an Artificial Neural Network (ANN) or Support Vector Machine (SVM) discriminators. The obtained results prove that, the proposed approaches can be used efficiently for the neutron and gamma discrimination purpose and that method based on the Hilbert transformation achieves the highest discrimination rates.

Keywords

Main Subjects

Telecommunications and Signal Processing

References

[1] G. Ranucci, “An Analytical Approach To The Evaluation Of The Pulse Shape Discrimination Properties Of Scintillators”, Nucl. Instr. Methods, Vol. A354, pp. 389-399, 1995.
[2] J. H. Heltsley, L. Brandon, A. Galonsky, L. Heilbraun, B. A. Remington, S. Langer, A. Vander and J. Yourkon, “Particle Identification Via Pulse Shape Discrimination With A Charge-Integrating ADC”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. A263, pp. 441-445, 1988.
[3] P. J. Sellin, G. Jaffar and S. D. Jastaniah, “Performance of Digital Algorithms for n/γ Pulse Shape Discrimination using A Liquid Scintillation Detector”, IEEE, Vol. 2, pp. 1057-1060, 2004.
[4] A. Al-Shbatat, “Analysis of the Spectrum of Radiation Detectors”, Msc thesis, Faculty of Informatics Sciences, Masaryk University, Brno, spring 2014.
[5] P. V, Chuan and N. X. Hai, “Evaluating Four Neutron-Gamma Discrimination Methods With Ej-301 Scintillator”, Analog Integrated Circuits and Signal Processing, Vol. 98, No. 1, pp. 1-10, 2018.
[6] H. Qiao, C. Y. Lu, X. Chen, K. Han, X. D. Ji, and S. Wang, “Signal-Background Discrimination With Convolutional Neural Networks In The Panda X-III Experiment using Mc Simulation”, Science China Physics, Mechanics & Astronomy, Vol. 61, pp. 101007-1–101007-9, 2018.
[7] F. Liang, H. Brands, L. Hoy, J. Preston, and J. Smith, “Lithium-Loaded Scintillators Coupled To A Custom-Designed Silicon Photomultiplier Array For Neutron And Gamma-Ray Detection”, IEEE Transactions on Nuclear Science, Vol. 65, No. 8, pp. 1-8, 2018.
[8] C. F.Yang, C. Q. Feng, S. B. Liu, and Q. An, “FPGA-Based n/ϒ Pulse Shape Discrimination for BaF2 Detector using 2-GSPS Fast Waveform Sampling”, NUCL SCI TECH, Vol. 28 , No. 2, pp. 1-6, 2017.
[9] K. Yang, P. R. Menge, and V. Ouspenski, “Li Co-Doped NaI:Tl (NaIL) A Large Volume Neutron-Gamma Scintillator with Exceptional Pulse Shape Discrimination”, IEEE Transactions on Nuclear Science, Vol. 64, No. 8, pp. 2406-2413, 2017.
[10] S. Clarke, M. Flaska, S. Pozzi, and P. Peerani, “Neutron And Gamma-Ray Cross-Correlation Measurements Of Plutonium Oxide Powder”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 604, No. 3, pp. 618–623, 2009.
[11] M. Flaska and S. A. Pozzi, “Digital Pulse Shape Analysis for The Capture-Gated Liquid Scintillator BC-523a”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 599, No. (2-3), pp. 221–225, 2009.

8
[12] M. Hamel, A. M. Frelin-Labalme, V. Simic, and S. Normand, “A new Fluorophore Highly Efficient for Fast Neutrons/Gamma-Rays Discrimination in Liquid Media”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 602, No. 2, pp. 425–431, 2009.
[13] N. Hawkes, K. Gamage, and G. Taylor, “Digital Approaches To Field Neutron Spectrometry”, Radiation Measurements, Vol. 45, No. 10, pp. 1305–1308, 2010.
[14] A. Lavagno, G. Gervino, and C. Marino, “High Efficiency Large Volume Multi-Parametric Neutron Detector”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 617, No. (1-3), pp. 492–494, 2010.
[15] S. Pozzi, S. Clarke, M. Flaska, and P. Peerani, “Pulse-Height Distributions of Neutron and Gamma Rays from Plutonium-Oxide Samples”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 608, No. 2, pp. 310–315, 2009.
[16] R. T. Schiffer, M. Flaska, S. A. Pozzi, S. Carney, and D. D. Wentzloff, “A Scalable FPGA-Based Digitizing Platform for Radiation Data Acquisition”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 652, No. 1, pp. 491–493, 2011.
[17] A. Villano, F. Becchetti, J. Kolata, M. Ojaruega, and A. Roberts, “Efficiency Measurements Of Deuterated Liquid Scintillators Using Coincidence Events”, Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 652, No. 1, pp. 280–283, 2011.
[18] S. Marrone, et al., “Pulse Shape Analysis of Liquid Scintillator for Neutron Studies” Nuclear Inst. and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and associated Equipment, Vol. 490, pp. 299-307, 2002.
[19] F. Belli, B. Esposito, D. Marocco and M. Riva, “A Study on The Pulse Height Resolution Of Organic Scintillator Digitized Pulses”, Fusion Engineering and Design, Vol. 88, No. (6 - 8), pp.1271–1275, 2013.
[20] M. E. Hammad, H. Kasban, R. M. Fikry, Moawad I. Dessoky, O. Zahran, S. M. S. Elaraby and F. E. Abd El-Samie, “Digital Pulse Processing Algorithm for Neutron and Gamma Rays Discrimination”, Accepted for publication in Analog Integrated Circuits and Signal Processing, Springer, 2019.
[21] C. C. Funk, J. Theiler, D. A. Roberts and C. C. Borel, “Clustering To Improve Matched Filter Detection Of Weak Gas Plumes In Hyperspectral Thermal Imagery”, IEEE Trans. Geosci. Remote Sens., Vol. 39, No. 7, pp. 1410–1420, 2001.
[22] H. Kasban, O. Zahran, H.Arafa, M. El-Kordy, S. M. S. Elaraby, F.E.A. El-Samie, “Support Vector Machines And Artificial Neural Networks For Identification Of Residence Time Distribution Signals”, Int. Eng. J., Vol. 6, No. 3, pp. 1803–1808, 2015.
[23] H. Kasban, O. Zahran, H. Arafa, M. El-Kordy, S. M. S. Elaraby, F.E.A.El-Samie, “Welding Defect Detection From Radiographic Image Using Cepstral Approach”, Nondestruct. Test. Eval. (NTD&E), Vol. 44, No 2, pp. 226–231, 2011.
[24] O. Zahran, H. Kasban, M. El-Kordy and F. E. A.El-Samie, “Automatic Weld Defect Identification From Radiographic Images”, Nondestruct. Test. Eval. (NTD&E), Vol. 57, pp. 26–35, 2013.
[25] C. W. Hsu, C .C .Chang and C. J. Lin, “A Practical Guide To Support Vector Classification”, National Taiwan Uni, Taipei 106, Taiwan, 2007.