Abstract

A fast neutron detector using the EJ- 301 scintillator was manufactured for study on detecting fast neutrons and gamma-rays. Detector characteristics include the energy linearity, the efficiency response and the neutron/gamma discrimination were guaranteed for neutron detection in the energy range from 50 to 3000 keVee. The ability discrimination of neutrons/gamma-rays of the detector was evaluated by the charge comparison (CC) method using an 252Cf source. The total efficiencies when measured on 22Na, 137Cs, 60Co and 252Cf sources were obtained 17.8%, 3.9%, 9.8% and 14.8%, respectively. The Figure of Merit (FoM) values of CC method were 0.4–1.55 for the range of energy 50–1000 keVee (keV electron equivalent).

Highlights

  • Neutron detection is very important in research about the field of neutron, such as radiation safety, research material, scattering particles, particle physics, etc

  • EJ-301 organic scintillator was manufactured by ElJen Technology, the yield curve consists of two exponential decays – the fast and Received: 13-9-2017; Accepted: 13-10-2017; Published: 30-8-2018

  • The scatter plots of the neutron-gamma separation with an energy threshold of 50keVee by the charge comparison (CC) method are shown in Fig. 7 (a) and (b), respectively

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Summary

Introduction

Neutron detection is very important in research about the field of neutron, such as radiation safety, research material, scattering particles, particle physics, etc. The slow neutrons are commonly detected based on the nuclear reaction mechanism, while the fast-neutrons are detected based on elastic scattering mechanism with light nuclei such as hydrogenous, 4He or organic scintillators [1, 2]. Organic scintillator detectors are widely employed in studies with fast neutrons and gamma-rays by many good properties: the fast decay time, the relatively high light-output and a reasonably good efficiency for fast neutrons [1, 3]. A fast neutron detector was designed and manufactured using the EJ-301 liquid scintillator for neutron monitoring and training purposes. The CC method was implemented by a program in MATLAB software using the data that are digitized from the pulses of detector by a digital oscilloscope

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