Title :
Improving gamma radiation detection through exploitation of temporal data An analytical approach
Author :
Millett, M. ; Whitlock, R. ; Geelhood, B.
Author_Institution :
United States Naval Acad., Annapolis, MD, USA
Abstract :
Though some encounters with potentially illicit radiological or nuclear material involve a stationary or dwell survey, many of the conceivable encounters are dynamic in nature. In the general unshielded or homogeneously shielded dynamic encounter, the mean detectable source signature strength will follow a well behaved curve with time: increasing on approach, peaking at the point-of-closest-approach, and then decreasing. Despite this well understood phenomenon, many currently available detection systems are set up to optimally detect an arbitrary step function that may or may not be representative of the anticipated dynamics of the encounter. Of course, the fact that radiation emission generally follows a Poisson process requires a signal integration time. For example, the dynamic scanning mode of many detection systems considers discrete and independent one second response data. Such a system is only optimized for a one second dwell. This approach can be improved upon. It will be shown that if the dynamics (meaning range and relative velocity) are understood, the integration period can be optimized to yield maximum signal to noise ratio. An analytical expression describing gamma radiation signature strength will be provided that may be used as the basis for studies of the effectiveness of temporally aware approaches to source detection in a dynamic encounter.
Keywords :
gamma-ray detection; nuclear materials safeguards; stochastic processes; Poisson process; dynamic scanning mode; gamma radiation detection; gamma radiation signature strength; homogeneously shielded dynamic encounter; mean detectable source signature strength; nuclear material; point-of-closest-approach; radiation emission; radiological material; signal integration time; signal-to-noise ratio; step function; Attenuation; Detectors; Heuristic algorithms; Materials; Photonics; Principal component analysis; Signal to noise ratio; dynamic source encounter; integration period; signal-to-noise ratio; temporal domain;
Conference_Titel :
Homeland Security (HST), 2012 IEEE Conference on Technologies for
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4673-2708-4
DOI :
10.1109/THS.2012.6459924