Detection of radioactive material entering national ports: A Bayesian approach to radiation portal data

Details Detection of radioactive material entering national ports: A Bayesian approach to radiation portal data Detection of radioactive material entering national ports: A Bayesian approach to radiation portal data

2010-11-12

arxiv.org/abs/1011.2895v1

Annals of Applied Statistics 2010, Vol. 4, No. 3, 1256-1271

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Published in at http://dx.doi.org/10.1214/10-AOAS334 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/10-AOAS334

Given the potential for illicit nuclear material being used for terrorism, most ports now inspect a large number of goods entering national borders for radioactive cargo. The U.S. Department of Homeland Security is moving toward one hundred percent inspection of all containers entering the U.S. at various ports of entry for nuclear material. We propose a Bayesian classification approach for the real-time data collected by the inline Polyvinyl Toluene radiation portal monitors. We study the computational and asymptotic properties of the proposed method and demonstrate its efficacy in simulations. Given data available to the authorities, it should be feasible to implement this approach in practice.

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