Neutron-gamma discrimination with broaden the lower limit of energy threshold using BP neural network
Copyright © 2024 Elsevier Ltd. All rights reserved..
Neutron-gamma discrimination is a tough and significative in experimental neutrons measurements procedure, especially for low-energy neutrons signal discrimination. In this work, based on the Pulse Shape Discrimination (PSD) and Back-Propagation (BP) artificial neural networks, a neutron-gamma discrimination method is developed to broaden the lower limit of energy threshold with the hidden layer of 20 neurons. Compared with neutron-gamma discrimination method based on PSD only, the developed neutron-gamma discrimination method based on the PSD and BP-ANN can discriminate neutron and gamma-ray signals with low energy threshold, which can discriminate signals up to 99.93%. Moreover, this work can reduce the energy threshold from 350 keV to 70 keV, as well as the acquired data utilization increased from 60% to more than 99.9%, which overcome the hardware limitations and distinguish neutron and gamma-ray signals, effectively. The developed neutron-gamma discrimination method and the trained neural network can be directly used to other experimental neutrons measurements.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:205 |
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| Enthalten in: |
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine - 205(2024) vom: 02. Feb., Seite 111179 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhang, S Y [VerfasserIn] |
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| Links: |
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| Themen: |
BP-ANN |
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| Anmerkungen: |
Date Revised 01.02.2024 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.apradiso.2024.111179 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2024 Elsevier Ltd. All rights reserved. | ||
| 520 | |a Neutron-gamma discrimination is a tough and significative in experimental neutrons measurements procedure, especially for low-energy neutrons signal discrimination. In this work, based on the Pulse Shape Discrimination (PSD) and Back-Propagation (BP) artificial neural networks, a neutron-gamma discrimination method is developed to broaden the lower limit of energy threshold with the hidden layer of 20 neurons. Compared with neutron-gamma discrimination method based on PSD only, the developed neutron-gamma discrimination method based on the PSD and BP-ANN can discriminate neutron and gamma-ray signals with low energy threshold, which can discriminate signals up to 99.93%. Moreover, this work can reduce the energy threshold from 350 keV to 70 keV, as well as the acquired data utilization increased from 60% to more than 99.9%, which overcome the hardware limitations and distinguish neutron and gamma-ray signals, effectively. The developed neutron-gamma discrimination method and the trained neural network can be directly used to other experimental neutrons measurements | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a BP-ANN | |
| 650 | 4 | |a Neutron measurement | |
| 650 | 4 | |a Neutron-gamma discrimination | |
| 650 | 4 | |a PSD | |
| 650 | 4 | |a TOF | |
| 700 | 1 | |a Wei, Z |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, P Q |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Q |e verfasserin |4 aut | |
| 700 | 1 | |a Li, M |e verfasserin |4 aut | |
| 700 | 1 | |a Bai, X H |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, K |e verfasserin |4 aut | |
| 700 | 1 | |a Nie, Y B |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Y Y |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, J R |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Y |e verfasserin |4 aut | |
| 700 | 1 | |a Su, X D |e verfasserin |4 aut | |
| 700 | 1 | |a Yao, Z E |e verfasserin |4 aut | |
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