DocumentCode
687331
Title
Preliminary analysis of imaging performance in cosmic-ray muon radiography
Author
Baihui Yu ; Ziran Zhao ; Xuewu Wang ; Zhi Zeng ; Hengguan Yi ; Dufan Wu ; Jianping Cheng
Author_Institution
Dept. of Eng. Phys., Tsinghua Univ., Beijing, China
fYear
2013
fDate
Oct. 27 2013-Nov. 2 2013
Firstpage
1
Lastpage
4
Abstract
Cosmic-ray muon radiography is an advanced technology to non-destructively detect objects which may contain high-Z materials. Based on the imaging system in Tsinghua University, we concern mainly about the muon radiography for small size objects within reasonable muon collection time. In this paper, we propose the imaging performance analysis standards of muon radiography, which include the spatial resolution, the material distinguishing ability and the muon collection time. Beyond this, we design 8 models for the evaluation, especially the “TUCCI” (Tsinghua University Cube for Cargo Inspection) model. We employ PoCA (the Point of Closest Approach) and MLSD (Maximum Likelihood Scattering and Displacement) algorithms to reconstruct these models in simulation, and get the conclusion that within 1 day imaging time which is totally acceptable in practice, the smallest line-pair we can obtain is 5 mm, and we can distinguish common materials in the air or under certain background.
Keywords
cosmic ray apparatus; cosmic ray muons; muon detection; particle detectors; radiography; MLSD algorithm; PoCA algorithm; TUCCI model; Tsinghua University; cosmic-ray muon radiography; high-Z materials; imaging performance preliminary analysis; imaging time; material distinguishing ability; muon collection time; muon radiography, imaging performance analysis standards; spatial resolution; Image reconstruction; Materials; Mesons; Radiography; Scattering; Tungsten;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location
Seoul
Print_ISBN
978-1-4799-0533-1
Type
conf
DOI
10.1109/NSSMIC.2013.6829783
Filename
6829783
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