NDLI: A range muon tomography performance study

Content Provider	IEEE Xplore Digital Library
Author	Cuellar, L. Borozdin, K.N. Chung, K. Green, J.A. Hengartner, N.W. Morris, C. Schultz, L.J. Reimus, N.P. Roybal, J. Bacon, J.D. Vogan-McNeil, W.
Copyright Year	2010
Description	Author affiliation: Los Alamos National Laboratory, Los Alamos, NM 87545 USA (Cuellar, L.; Borozdin, K.N.; Chung, K.; Green, J.A.; Hengartner, N.W.; Morris, C.; Schultz, L.J.; Reimus, N.P.; Roybal, J.; Bacon, J.D.; Vogan-McNeil, W.)
Abstract	Soft cosmic ray tomography has been shown to successfully discriminate materials with various density levels due to their ability to deeply penetrate matter, allowing sensitivity to atomic number, radiation length and density. Because the multiple muon scattering signal from high Z-materials is very strong, the technology is well suited to the detection of the illicit transportation of special and radiololgical nuclear materials. In addition, a recent detection technique based on measuring the lower energy particles that do not traverse the material (range radiography), allows to discriminate low and medium Z-materials. We have demonstrated it first using Monte Carlo simulations. More recently, using a Mini-Muon Tracker developed at Los Alamos National Laboratory, we performed various experiments to try out the radiation length technology. This paper presents the results from real experiments and evaluates the likelihood that soft cosmic ray tomography may be applied to detect high-explosives.
Starting Page	67
Ending Page	69
File Size	366074
Page Count	3
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5873718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mesons Tomography Image reconstruction Materials Scattering Lead materials muon tomography nuclear
Content Type	Text
Resource Type	Article

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