摘要: Cosmic ray muons, characterized by their high energy and penetrative capabilities, provide significant advantages for non-destructive imaging applications, including security inspection, geological exploration, and archaeology. As the muon tomography continues to advance, there is growing demand for precise and efficient muon imaging algorithms. The quality of muon scattering imaging depends on the accuracy of the muon trajectory reconstruction. This paper proposes a neural network-based method utilizing Multi-Wire Drift Chambers (MWDCs), achieving a spatial resolution of 351 $\mu m$. Additionally, to address challenges of imaging accuracy and track utilization efficiency, an improved method based on the PoCA (Point-of-Closest Approach) algorithm is introduced. This enhancement significantly improves imaging resolution and reconstruction performance, offering a more solution for muon-based imaging solutions.
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来自:
Zhang, Mr. JL
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分类:
物理学
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核物理学
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备注:
已向《Nuclear Science and Techniques》投稿
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引用:
ChinaXiv:202503.00082
(或此版本
ChinaXiv:202503.00082V1)
DOI:10.12074/202503.00082
CSTR:32003.36.ChinaXiv.202503.00082
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科创链TXID:
259c2c66-706d-41b3-894f-63dec26ff98d
- 推荐引用方式:
Zhang, Mr. JL,Liu, Mr. Xiangman,Sun, Prof. Zhiyu 孙志宇,Fang, Ms. Fang,An, Ms. qi,Lu, Mr. Fenhua,Tang, Dr. Shuwen,Qian, Dr. Yi,Wang, Dr. Shitao,Kong, Dr. Jie,Yang, Dr. Herun,Ma, Mr. Peng,Jiang, Mr. Xuan,SUN, Mr. Yazhou,Yan, Mr. Duo,Zhang, Dr. Xueheng,Zhang, Mr. Yongjie,Yu, Dr. Yuhong,Jiang, Prof. jun.A new algorithm of muon scattering tomography based on Multi-Wire Drift Chamber system.中国科学院科技论文预发布平台.[DOI:10.12074/202503.00082]
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