Paper
31 January 2020 Advances in theoretical models and simulation of electron gain in microchannel plates
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Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 1142736 (2020) https://doi.org/10.1117/12.2552917
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China
Abstract
As the core component of image intensifier, the electronic multiplication performance of microchannel plate determines the ability of the device to detect weak signals. The theoretical model of electron gain is the theoretical basis for the secondary electron multiplication of microchannel plates. It has important theoretical significance for the research of high performance microchannel plates and image intensifiers. In this paper, the theoretical model and simulation of electron gain in microchannel plates are reviewed. The electronic gain model and the modified theoretical model of the "energy proportional hypothesis" are emphatically introduced. On the basis of the model, some improvements are made and good simulation results are obtained. The behaviors of electron transport, collision and multiplication in microchannels based on the theoretical model of electronic gain and Monte Carlo stochastic calculation method are summarized. The differences among the three models are analyzed, and the problems existing in the theoretical model and simulation of electronic gain at present are analyzed. Finally, aiming at the shortcomings of theoretical model and simulation, the direction of improvement and optimization is put forward.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pan Shi, Jinsheng Jia, Yang Zhang, Bingqiang Zhang, Yonggang Huang, Peng Jiao, Kangsheng Huang, Yuechong Feng, and Sanzhao Wang "Advances in theoretical models and simulation of electron gain in microchannel plates", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142736 (31 January 2020); https://doi.org/10.1117/12.2552917
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