Neutron detection and imaging play a crucial role in nuclear reaction monitoring, industrial
non‐destructive testing, nuclear medicine imaging, and so on. Similar to other ionizing …

Artificial neural networks (ANNs) have shown several benefits over the traditional
classification methods for radiation detector data, such as greater accuracy and the ability to …

A method of describing the characteristics of Cs 2 LiYCl 6 scintillator pulses is proposed by
fitting all individual pulses with multiple exponential functions. Simulated pulses under very …

Certain organic scintillators, such as EJ-299 and stilbene, have the ability to distinguish
gamma rays and neutrons through the process of pulse shape discrimination (PSD). This …

Deep learning has been employed in various scientific fields and has provided promising
results. In this study, a deep learning classifier was implemented to improve the quality of …

The acquisition of high-quality and non-artefact afflicted positron lifetime spectra is crucial for
a profound analysis, ie the correct lifetime spectra decomposition for retrieving the true …

Traditionally, electronics for pulse processing can be modeled as linear transfer functions. In
contrast, due to the fact that artificial Neural Networks (NNs) are generally non-linear …

Radiation Detection: Concepts, Methods, and Devices provides a modern overview of
radiation detection devices and radiation measurement methods. The book topics have …

A piled-up neutron-gamma discrimination system is designed to discriminate single and
piled-up events under high counting rate. The data acquired by a Cs 2 LiLaBr 6: Ce (CLLB) …

SiPM Anger cameras have been designed for use as 2-dimensional thermal neutron
detectors for scientific applications such as at single crystal diffraction instruments. These …