24 September 2007 A Bayesian sequential processor approach to spectroscopic portal system decisions
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Abstract
The development of faster more reliable techniques to detect radioactive contraband in a portal type scenario is an extremely important problem especially in this era of constant terrorist threats. Towards this goal the development of a model-based, Bayesian sequential data processor for the detection problem is discussed. In the sequential processor each datum (detector energy deposit and pulse arrival time) is used to update the posterior probability distribution over the space of model parameters. The nature of the sequential processor approach is that a detection is produced as soon as it is statistically justified by the data rather than waiting for a fixed counting interval before any analysis is performed. In this paper the Bayesian model-based approach, physics and signal processing models and decision functions are discussed along with the first results of our research.
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K. Sale, K. Sale, J. Candy, J. Candy, E. Breitfeller, E. Breitfeller, B. Guidry, B. Guidry, D. Manatt, D. Manatt, T. Gosnell, T. Gosnell, D. Chambers, D. Chambers, "A Bayesian sequential processor approach to spectroscopic portal system decisions", Proc. SPIE 6707, Penetrating Radiation Systems and Applications VIII, 67070P (24 September 2007); doi: 10.1117/12.739137; https://doi.org/10.1117/12.739137
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