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
Summary
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
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Science and Technology Development Journal - Natural Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.