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ABSTRACT
The organic scintillator detector has been used in neutron detection
systems with advantage of high efficiency, but they are also very sensitive to
gamma. Therefore, gamma events must be identified in these radiation
measurement systems to eliminate. Various algorithms of neutron/gamma
pulse shape discrimination (PSD) have been developed by many radiation
laboratories in order to identify neutron/gamma events from the detector
outputs. The PSD algorithms have achieved good results in the high energy
region (> 200keVee) but that still limited in the low energy region (<
200keVee). Actually, some complex PSD algorithms have been well able to
distinguish between neutron and gamma pulses but these algorithms require
very large hardware resources, and therefore are hardly applied for the
radiation measurement systems in real-time.
The goal of the present thesis is to study various PSD algorithms and to
develop an algorithm that offers highly effective discrimination in the lowenergy region, simple design, and low-cost. The developed PSD algorithm can
therefore be effortlessly applied to neutron measurement systems using
organic scintillator detectors.
Four PSD methods, namely the threshold crossing time, pulse gradient
analysis, digital charge integration, and correlation pattern recognition, have
been studied; a new method has been developed based on calculations with the
reference pulses (RP). These methods have been applied to a homemade
neutron spectroscopy, which is constructed by using a handcrafted organic
scintillator detector, the field-programmable gate array, and the digital signal
processing technique. The used hardware was a DRS4 Evaluation Board, which
is compact, stable, and reliable. Our obtained neutron spectroscopy is not only
accurate but also can simultaneously measure neutron and gamma spectra;
thus it shows good potentials for applying to radiation dosimeters, as well as
warning/safety monitors.
Among all the concerned PSD methods, our newly developed method,