Neutron-gamma discrimination with broaden the lower limit of energy threshold using BP neural network.
Appl Radiat Isot
; 205: 111179, 2024 Mar.
Article
de En
| MEDLINE
| ID: mdl-38217939
ABSTRACT
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.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Type d'étude:
Prognostic_studies
Langue:
En
Journal:
Appl Radiat Isot
Sujet du journal:
MEDICINA NUCLEAR
/
SAUDE AMBIENTAL
Année:
2024
Type de document:
Article
Pays d'affiliation:
Chine
Pays de publication:
Royaume-Uni