The Digital discrimination of neutron and {\gamma} ray using organic scintillation detector based on wavelet transform modulus maximum
Yang yun, Liu guofu, Yang jun, Luo xiaoliang

TL;DR
This paper introduces a wavelet transform modulus maximum (WTMM) algorithm for effectively discriminating neutrons and gamma rays in organic scintillation detectors, demonstrating superior noise resistance and no need for pulse pretreatment.
Contribution
The novel WTMM-based method provides a noise-insensitive approach for neutron and gamma-ray discrimination, outperforming traditional techniques like FGA and matching TOF results.
Findings
WTMM method is robust against noise in pulse discrimination
WTMM achieves results consistent with time-of-flight measurements
No pulse pretreatment needed with WTMM approach
Abstract
A novel algorithm for the discrimination of neutron and {\gamma}-ray with wavelet transform modulus maximum (WTMM) in an organic scintillation has been investigated. Voltage pulses arising from a BC501A organic liquid scintillation detector in a mixed radiation field have been recorded with a fast digital sampling oscilloscope. The performances of most pulse shape discrimination methods in scintillation detection systems using time-domain features of the pulses are affected intensively by noise. However, the WTMM method using frequency-domain features exhibits a strong insensitivity to noise and can be used to discriminate neutron and {\gamma}-ray events based on their different asymptotic decay trend between the positive modulus maximum curve and the negative modulus maximum curve in the scale-space plane. This technique has been verified by the corresponding mixed-field data assessed…
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Taxonomy
TopicsRadiation Detection and Scintillator Technologies · Nuclear Physics and Applications · Atomic and Subatomic Physics Research
