We demonstrate the use of a convolutional neural network to perform neutron-gamma pulse
shape discrimination, where the only inputs to the network are the raw digitised silicon …

These days, research on the classification of neutron/gamma waveforms in scintillators
using pulse shape discrimination (PSD) techniques is a highly studied topic. Numerous …

In the nuclear sciences and radiation detection fields, the differentiation between gamma-ray
and neutron interactions inside a detector volume continues to be an area of active …

Accurate discrimination of neutrons and gamma rays is critical for organic scintillation
detectors, especially for detection systems where minimal false-alarm rates are paramount …

Pulse shape discrimination is investigated using artificial neural networks, namely linear
vector quantization and self organizing maps which are employed for classifying neutron …

We developed two neural-network (NN)-based algorithms (fully-connected neural network
(Fc-NN) and recurrent neural network (RNN)) to perform pulse shape discrimination (PSD) …

BC-501 is a liquid scintillation detector sensitive to both neutrons and gamma rays. As these
produce slightly different signals in the detector, they can be discriminated based on their …

In this paper, we present novel methods for automated pulse shape discrimination. The
classifiers are trained using simple radionuclide sources and do not require ground truth …

We report on the pulse shape discrimination (PSD) performance of plastic scintillators
manufactured by Eljen Corporation and Amcrys. In this study we investigate the fast neutron …

The discrimination of neutron and γ-ray events in an organic scintillator has been
investigated by using a method based on an artificial neural network (ANN). Voltage pulses …