Simulation study of muon localization based on the LSTM regression algorithm
ACCELERATOR, RAY TECHNOLOGY AND APPLICATIONS|更新时间:2025-03-21
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Simulation study of muon localization based on the LSTM regression algorithm
“In the field of cosmic ray muon imaging, researchers have proposed a low-cost and high-precision detector system based on Geant4 software simulation and LSTM algorithm, providing a new solution for muon localization.”
ZHANG Haifeng, male, born in 2001, graduated from University of South China in 2022, master student, focusing on muon imaging technology and system development
WANG Xiaodong, E-mail: wangxd@usc.edu.cn
基金信息:
National Natural Science Foundation of China(12275120);Foundation of Ministry of Science and Technology of China(2020YFE0202001);Hunan Province Natural Science Foundation Project(2021JJ20006);Hunan Province Youth Science and Technology Innovation Talent Training(2022RC1202)
ZHANG Haifeng,LUO Siyuan,LIU Xiangman,et al.Simulation study of muon localization based on the LSTM regression algorithm[J].NUCLEAR TECHNIQUES,2025,48(02):020202.