A high-position-resolution trajectory detector system for cosmic ray muon tomography: Monte Carlo simulation
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Jiajia Zhai,
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Haohui Tang,
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Xianchao Huang,
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Shuangquan Liu,
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Yingjie Wang,
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Chong Li,
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Xiuzuo Liang,
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Yi Zhang,
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Meichan Feng,
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Zhiming Zhang,
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Long Wei
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Abstract
Purpose The research focuses on the related designing and simulating the high-position-resolution trajectory detector system based on cosmic ray muon tomography.
Methods The energy deposition of muon in the detector varies with the length of the ionization path.
Results The simulation of the submillimeter detector system was designed for muon imaging. The optimal position resolution of the detector reached 0.6 mm.
Conclusions The entire research process includes the selection of analysis of parameters affecting system design, designing of two high-position-resolution detectors based on plastic scintillators, implementation of different imaging algorithms and image quality assessment based on different imaging models. It provides a solution based on high positional resolution plastic scintillator detectors for cosmic ray muon scattering imaging.
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Jiajia Zhai, Haohui Tang, Xianchao Huang, et al. A high-position-resolution trajectory detector system for cosmic ray muon tomography: Monte Carlo simulation[J]. Radiation Detection Technology and Methods, 2022, 6(2): 244-253. DOI: 10.1007/s41605-022-00313-9
Citation:
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Jiajia Zhai, Haohui Tang, Xianchao Huang, et al. A high-position-resolution trajectory detector system for cosmic ray muon tomography: Monte Carlo simulation[J]. Radiation Detection Technology and Methods, 2022, 6(2): 244-253. DOI: 10.1007/s41605-022-00313-9
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Jiajia Zhai, Haohui Tang, Xianchao Huang, et al. A high-position-resolution trajectory detector system for cosmic ray muon tomography: Monte Carlo simulation[J]. Radiation Detection Technology and Methods, 2022, 6(2): 244-253. DOI: 10.1007/s41605-022-00313-9
Citation:
|
Jiajia Zhai, Haohui Tang, Xianchao Huang, et al. A high-position-resolution trajectory detector system for cosmic ray muon tomography: Monte Carlo simulation[J]. Radiation Detection Technology and Methods, 2022, 6(2): 244-253. DOI: 10.1007/s41605-022-00313-9
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