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Proceedings Paper

Numerical modeling of nonintrusive inspection systems
Author(s): James M. Hall; James F. Morgan; Kenneth E. Sale
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Paper Abstract

A wide variety of nonintrusive inspection systems have been proposed in the past several years for the detection of hidden contraband in airline luggage and shipping containers. The majority of these proposed techniques depend on the interaction of radiation with matter to produce a signature specific to the contraband of interest, whether drugs or explosives. L-Division of the LLNL has developed a unique expertise in the combined numerical and experimental modeling of these types of systems. Based on our experience, we are convinced that detailed numerical modeling provides a much more accurate estimate of the actual performance of complex experiments than simple analytical modeling. Furthermore, the construction of detailed numerical prototypes allows experimenters to explore the entire region of parameter space available to them before committing their ideas to hardware. This sort of systematic analysis has often lead to improved experimental designs and reductions in fielding costs. L-Division has developed an extensive suite of computer codes to model proposed experiments and possible background interactions. These codes allow us to simulate complex radiation sources, model 3D system geometries with `real world' complexity, specify detailed elemental distributions, and predict the response of almost any type of detector. In this work, we will present several examples illustrating the use of these codes in modeling experimental systems at LLNL and discuss their potential usefulness in evaluating nonintrusive inspection systems.

Paper Details

Date Published: 28 March 1994
PDF: 11 pages
Proc. SPIE 2092, Substance Detection Systems, (28 March 1994); doi: 10.1117/12.171253
Show Author Affiliations
James M. Hall, Lawrence Livermore National Lab. (United States)
James F. Morgan, Lawrence Livermore National Lab. (United States)
Kenneth E. Sale, Lawrence Livermore National Lab. (United States)

Published in SPIE Proceedings Vol. 2092:
Substance Detection Systems
Geoffrey L. Harding; Richard C. Lanza; Lawrence J. Myers; Peter A. Young, Editor(s)

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