Active interrogation (AI) is a promising technique to detect shielded special nuclear
materials (SNMs). At the University of Michigan, we are developing a photon-based AI …

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) …

On scintillator detectors, neutron and gamma rays could generate signals. These signals are
generated internally and cannot be shielded, and there are various complex circumstances …

Detection of unique signatures of special nuclear materials is critical for their interdiction in a
variety of nuclear security and nonproliferation scenarios. We report on the observation of …

Active interrogation, a measurement technique which uses a radiation source to probe
materials and generate unique signatures useful for characterizing those materials, is a …

The detection of prompt photofission neutrons during active interrogation is a strong
indication of the presence of special nuclear materials. However, the high-energy photons …

Organic scintillators are frequently used for measurements that require sensitivity to both
photons and fast neutrons because of their pulse shape discrimination capabilities. In these …

Measured spectra in a high count rate environment are difficult to analyze because of the
spectral distortions caused by the pulse pile-up effect. This study proposes a deep learning …

The importance of fast neutron detection for nuclear safeguards purposes has increased
due to its potential advantages such as reasonable cost and higher precision for larger …

To realize neutron-gamma discrimination of piled-up pulses in high counting rate
circumstances, the discrimination performance of the charge comparison method and three …