13 citations · 59 across the 10 of their papers we have counts for
4 papers · 1 filter
Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach
Pengcheng Ai, Hongtao Qin, Xiangming Sun +1
Neutron/gamma discrimination has been intensively researched in recent years, due to its unique scientific value and widespread applications. With the advancement of detection mate…
Scintillation pulse characterization with spectrum-inspired temporal neural networks: case studies on particle detector signals
Pengcheng Ai, Xiangming Sun, Zhi Deng +1
Particle detectors based on scintillators are widely used in high-energy physics and astroparticle physics experiments, nuclear medicine imaging, industrial and environmental detec…
Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning
Pengcheng Ai, Le Xiao, Zhi Deng +6
Pulse timing is an important topic in nuclear instrumentation, with far-reaching applications from high energy physics to radiation imaging. While high-speed analog-to-digital conv…
PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and Energy Extraction of Nuclear Detector Signals
Pengcheng Ai, Zhi Deng, Yi Wang +3
Front-end electronics equipped with high-speed digitizers are being used and proposed for future nuclear detectors. Recent literature reveals that deep learning models, especially…