Journal Title
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Publisher
Springer, Berlin, Heidelberg
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Authors: Richard Hoch Debasis Mitra Kondo Gnanvo Marcus Hohlmann
Publish Date: 2009
Volume: , Issue: , Pages: 225-231
Abstract
In this article on Muon Tomography we report our work on the development of an intelligent pattern detection system for materials with high atomic numbers Z for Homeland Security application Muons are naturally produced in the upper atmosphere by primary cosmic rays and are used as passive probes of a cargo volume By sensing the incoming and outgoing tracks and measuring the momentum of each muon for a probed volume one may derive the scattering parameters A statistical algorithm is being used to estimate scattering densities of the material in each unit volume voxel of the probed target The article describes the algorithm and some results from our simulation experiments
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