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Hybrid model for muon tomography and quantitative analysis of image quality

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成果类型:
期刊论文
作者:
Luo, Si-Yuan;Huang, Yu-He;Ji, Xuan-Tao;He, Lie;Xiao, Wan-Cheng;...
通讯作者:
Xiao-Dong Wang
作者机构:
[Luo, Feng-Jiao; He, Lie; Xiao, Wan-Cheng; Feng, Song; Huang, Yu-He; Wang, Xiao-Dong; Ji, Xuan-Tao; Xiao, Min; Luo, Si-Yuan] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.
通讯机构:
[Xiao-Dong Wang] S
School of Nuclear Science and Technology, University of South China, Hengyang, China
语种:
英文
关键词:
Monte Carlo simulation;Muon tomography;Image reconstruction
期刊:
核技术(英文版)
ISSN:
1001-8042
年:
2022
卷:
33
期:
7
页码:
1-13
基金类别:
supported by the National Natural Science Foundation of China (No. 11875163); Natural Science Foundation of Hunan Province (Nos. 2021JJ20006 and 2021JJ40444); Ministry of Science and Technology of China (No. 2020YFE0202001); Department of Education of Hunan Province (Nos. 19B488 and 21A0281);
机构署名:
本校为第一机构
院系归属:
核科学技术学院
摘要:
Muon tomography is a novel method for the non-destructive imaging of materials based on muon rays, which are highly penetrating in natural background radiation. Currently, the most commonly used imaging methods include muon radiography and muon tomography. A previously studied method known as coinciding muon trajectory density tomography, which utilizes muonic secondary particles, is proposed to image low and medium atomic number (Z) materials. However, scattering tomography is mostly used to image high-Z materials, and coinciding muon trajectory density tomography exhibits a hollow phenomenon...

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