Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ai, Pengcheng"'
Nuclear radiation detectors based on scintillators are widely used in particle and high energy physics experiments, nuclear medicine imaging, industrial and environmental detection, etc. Precisely extracting scintillation signal characteristics at th
Externí odkaz:
http://arxiv.org/abs/2410.07267
Autor:
Ai, Pengcheng, Xiao, Le, Deng, Zhi, Wang, Yi, Sun, Xiangming, Huang, Guangming, Wang, Dong, Li, Yulei, Ran, Xinchi
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 converters become more and more developed and accessible, their potential
Externí odkaz:
http://arxiv.org/abs/2304.11930
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 one-dimensional convolutional neural networks, are promising when deal
Externí odkaz:
http://arxiv.org/abs/2209.00884
Characterizing uncertainty is a common issue in nuclear measurement and has important implications for reliable physical discovery. Traditional methods are either insufficient to cope with the heterogeneous nature of uncertainty or inadequate to perf
Externí odkaz:
http://arxiv.org/abs/2110.04975
Publikováno v:
In Composite Structures 15 April 2024 334
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 networks) to waveform sampling has the great potential to substantially i
Externí odkaz:
http://arxiv.org/abs/2105.14687
Publikováno v:
In Composite Structures 1 February 2024 329
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 methods, gaseous drift chambers with hybrid pixel sensors have the gr
Externí odkaz:
http://arxiv.org/abs/2005.09930
Autor:
Luo, Lisheng, Liao, Zimiao, Wang, Zhenyu, Liu, Yicai, Zhong, Jie, Hong, Xuekang, Ai, Pengcheng, Wu, Weijie
Publikováno v:
In Case Studies in Thermal Engineering December 2023 52
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 learning to extract the time information from a finite set of ADC sampl
Externí odkaz:
http://arxiv.org/abs/1901.07836