Development of a digital method for neutron/gamma-ray discrimination based on matched filtering

Stefan Korolczuk , Maciej Grzegorz Linczuk , Ryszard Romaniuk , I. Zychor

Abstract

Neutron/gamma-ray discrimination is crucial for measurements with detectors sensitive to both neutron and gamma-ray radiation. Different techniques to discriminate between neutrons and gamma-rays based on pulse shape analysis are widely used in many applications, e.g., homeland security, radiation dosimetry, environmental monitoring, fusion experiments, nuclear spectroscopy. A common requirement is to improve a radiation detection level with a high detection reliability. Modern electronic components, such as high speed analog to digital converters and powerful programmable digital circuits for signal processing, allow us to develop a fully digital measurement system. With this solution it is possible to optimize digital signal processing algorithms without changing any electronic components in an acquisition signal path. We report on results obtained with a digital acquisition system DNG@NCBJ designed at the National Centre for Nuclear Research. A 2'' × 2'' EJ309 liquid scintillator was used to register mixed neutron and gamma-ray radiation from PuBe sources. A dedicated algorithm for pulse shape discrimination, based on real-time filtering, was developed and implemented in hardware.
Author Stefan Korolczuk
Stefan Korolczuk,,
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, Maciej Grzegorz Linczuk ISE
Maciej Grzegorz Linczuk,,
- The Institute of Electronic Systems
, Ryszard Romaniuk ISE
Ryszard Romaniuk,,
- The Institute of Electronic Systems
, I. Zychor
I. Zychor,,
-
Journal seriesJournal of Instrumentation, ISSN 1748-0221
Issue year2016
Vol11
Pages1-10
Publication size in sheets0.5
URL http://iopscience.iop.org/article/10.1088/1748-0221/11/09/C09013/meta
Languageen angielski
Score (nominal)35
ScoreMinisterial score [Punktacja MNiSW] = 20.0, 27-03-2017, ArticleFromJournal
Ministerial score (2013-2016) [Punktacja MNiSW (2013-2016)] = 35.0, 27-03-2017, ArticleFromJournal
Publication indicators WoS Impact Factor [Impact Factor WoS]: 2016 = 1.22 (2) - 2016=1.297 (5)
Citation count*1 (2018-06-17)
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