Recent research progress on cosmic ray muon imaging technology

Muon imaging technology is an emerging non-destructive testing (NDT) method that has been widely applied in recent years in fields such as volcanic monitoring, mineral exploration, archaeology and cultural heritage conservation, nuclear reactor detection, and industrial blast furnace monitoring. This paper systematically reviews its imaging principles and research progress in these domains, analyzes the current challenges related to detector performance, imaging efficiency, and information dimensionality, and prospects for future development directions, such as detector modularization, intelligent reconstruction algorithms, and multi-modal information fusion. Owing to its unique advantages, the technology is poised for significant application across a broader spectrum of fields.

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Publication Details

Journal
Nuclear Engineering and Technology
Published
2025-12-20
DOI
https://doi.org/10.1016/j.net.2025.104091
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Recent research progress on cosmic ray muon imaging technology

Z. Hu, Mingzhong Zhang, R. Hou, Mingjie Yang et al.
Nuclear Engineering and Technology
Particle Detector Development and Performance
article

Recent research progress on cosmic ray muon imaging technology

Z. Hu, Mingzhong Zhang, R. Hou, Mingjie Yang, Yutong Zhou, George W. S. Hou, Min He
article en

Abstract

Muon imaging technology is an emerging non-destructive testing (NDT) method that has been widely applied in recent years in fields such as volcanic monitoring, mineral exploration, archaeology and cultural heritage conservation, nuclear reactor detection, and industrial blast furnace monitoring. This paper systematically reviews its imaging principles and research progress in these domains, analyzes the current challenges related to detector performance, imaging efficiency, and information dimensionality, and prospects for future development directions, such as detector modularization, intelligent reconstruction algorithms, and multi-modal information fusion. Owing to its unique advantages, the technology is poised for significant application across a broader spectrum of fields.

Nuclear Engineering and TechnologyVol. 58(4)
Harbin Engineering University (CN), Yantai University (CN)
Openalex Percentile: Top 81%
Particle Detector Development and Performance
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