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	Imaging algorithms for cosmic ray muon radiography detection of nuclear materials
	Liu Yuanyuan ; Chen Zhiqiang ; Zhao Ziran ; Zhang Li ; Wang Zhentian
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ cosmic ray apparatus cosmic ray muons position sensitive particle detectors radiography/ imaging algorithms cosmic ray muon radiography detection nuclear materials Tsinghua University reconstruction algorithms picture comparison binarization method PCBM RPC detectors/ A9480 Instrumentation and techniques for aeronomy, space physics, and cosmic rays A2940T Position sensitive detectors A9575P Mathematical and computer techniques in astronomy A9440T Cosmic ray muons and neutrinos B7420 Particle and radiation detection and measurement
中文摘要	Cosmic ray muon radiography which has good penetration ability and is sensitive to high-Z materials, is an effective method to detect shielded nuclear materials. This paper summarizes methods developed to process muon radiography in Tsinghua University. The methods include detector data correction, reconstruction algorithms (maximum likelihood scattering, MLS, and the maximum likelihood scattering and displacement, MLSD) acceleration, and the modification of the normalized mean absolute distance measure (NMADM) into a picture comparison binarization method (PCBM) which is more suitable for cosmic ray muon radiographs. Simulations demonstrate that all these methods give excellent results, so that cosmic muon radiography can become more widely used.
语种	英语
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82350]
专题	清华大学
推荐引用方式 GB/T 7714	Liu Yuanyuan,Chen Zhiqiang,Zhao Ziran,et al. Imaging algorithms for cosmic ray muon radiography detection of nuclear materials[J],2010, 2010.
APA	Liu Yuanyuan,Chen Zhiqiang,Zhao Ziran,Zhang Li,&Wang Zhentian.(2010).Imaging algorithms for cosmic ray muon radiography detection of nuclear materials..
MLA	Liu Yuanyuan,et al."Imaging algorithms for cosmic ray muon radiography detection of nuclear materials".(2010).

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