12 citations · 18 across the 2 of their papers we have counts for
4 papers · 1 filter
Neural network--featured timing systems for radiation detectors: performance evaluation based on bound analysis
Pengcheng Ai, Zhi Deng, Yi Wang +1
Waveform sampling systems are used pervasively in the design of front end electronics for radiation detection. The introduction of new feature extraction algorithms (eg. neural net…
A deep learning approach to multi-track location and orientation in gaseous drift chambers
Pengcheng Ai, Dong Wang, Xiangming Sun +2
Accurate measuring the location and orientation of individual particles in a beam monitoring system is of particular interest to researchers in multiple disciplines. Among feasible…
Timing and characterization of shaped pulses with MHz ADCs in a detector system: a comparative study and deep learning approach
Pengcheng Ai, Dong Wang, Guangming Huang +3
Timing systems based on Analog-to-Digital Converters are widely used in the design of previous high energy physics detectors. In this paper, we propose a new method based on deep l…
Three-dimensional convolutional neural networks for neutrinoless double-beta decay signal/background discrimination in high-pressure gaseous Time Projection Chamber
Pengcheng Ai, Dong Wang, Guangming Huang +1
In the search for neutrinoless double-beta decay, the high-pressure gaseous Time Projection Chamber has a distinct advantage, because the ionization charge tracks produced by parti…