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 …

Pulse shape discrimination algorithms have been commonly implemented on embedded
systems to discriminate neutron/gamma radiations detected by organic scintillators in …

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

Organic scintillators are widely used for neutron/gamma detection. Pulse shape
discrimination algorithms have been commonly used to discriminate the detected radiations …

Various machine learning techniques have been implemented to assist in neutron-gamma
discrimination with great success compared to traditional methods. Despite this, the …

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) …

We compare the pulse-shape-discrimination performance of a large Stilbene detector,
manufactured at the Lawrence Livermore National Laboratory, to a similarly sized liquid …

Digital pulse shape discrimination has become readily available to distinguish nuclear recoil
and electronic recoil events in scintillation detectors. We evaluate digital implementations of …

We propose a novel approach based on variational autoencoder with Gaussian mixture
latent space (GMVAE) to address the challenging problem of pulse shape discrimination …

Pulse shape discrimination (PSD) in scintillators is useful to distinguish between signals
from neutrons and gamma rays. A standard algorithm is to divide the integral of the tail end …