W. Bangerth, M. Adams, N. Amato, S. Chirayath, J-L Guermond, G. Kanschat, P. Kuchment, J. Morel, J. Ragusa, and L. Rauchwerger,
"Inverse Modeling to Detect Illicitly Smuggled Materials in Containers,"
Poster presented at the Academic Research Initiative Grantees Conference, Washington, D.C., April 2008.
To improve the chances of detecting nuclear material, for
example HEU, smuggled in cargo containers or cars, all available
data needs to be used simultaneously, not only by specifying a
threshold on each individual detector reading. We present a
framework in which we can compute the probability for false
positives and false negatives. Such a framework also allows us to
derive optimization problems that determine operating parameters
that minimize the probability of false negatives subject to
constraints such as cost, delay, etc. Furthermore, it allows us to
evaluate the impact of proposed new detector concepts.
Associated Project(s):SHIELD (Smuggled HEU Interdiction through Enhanced anaLysis and Detection): A Framework for Developing Novel Detection Systems Focused on Interdicting Shielded HEU