Application experiment and partial improvement of traditional muon scattering imaging algorithm

Jinye Wang; Yunping Qi; Liangwen Chen

doi:10.1117/12.2689701

10 August 2023 Application experiment and partial improvement of traditional muon scattering imaging algorithm

Jinye Wang, Yunping Qi, Liangwen Chen

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127481J (2023) https://doi.org/10.1117/12.2689701
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

Muons produced by cosmic rays can be used to reconstruct images by analyzing their energy and angle information after passing through a medium. These subatomic particles have strong penetrating ability and are sensitive to high-Z (high atomic number) materials, making them ideal for large-scale structural imaging and nuclear material detection, which is critical for maintaining nuclear safety. However, muon tomography faces challenges such as low natural muon flux and difficulties in image reconstruction. Therefore, developing effective imaging reconstruction algorithms is crucial for muon tomography. In this study, we present modifications to the ASR algorithm, then apply the modified version to experimental data. Our results show that the images reconstructed using the modified ASR algorithm exhibit good quality, indicating the algorithm's effectiveness.

Citation Download Citation

Jinye Wang, Yunping Qi, and Liangwen Chen "Application experiment and partial improvement of traditional muon scattering imaging algorithm", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127481J (10 August 2023); https://doi.org/10.1117/12.2689701

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