Physics-Based Detection of Radioactive Contraband: A Sequential Bayesian Approach

Candy, James V.; Breitfeller, E F; Guidry, Brian L.; Manatt, D.R.; Sale, K.E.; Chambers, David H.; Axelrod, M.C.; Meyer, Anneke

doi:10.1109/tns.2009.2034374

Cited by 24 publications

(31 citation statements)

References 19 publications

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“…[10] where we extend the decomposition model to include "downscattered" photons. Using this characterization, we have the basic signal processing model in terms of the processes that govern its evolution.…”

Section: A Event Mode Sequencementioning

confidence: 99%

“…[10] this EMS model can be extended from a single monoenergetic source representation to incorporate a set of M -monoenergetic source components that compose a complete source radionuclide (RN). such that…”

Section: A Event Mode Sequencementioning

confidence: 99%

“…[10] we cannot achieve the optimal decision because we are not using all of the physics information available! Thus, we expect the performance of this "extended" processor to be superior to the photoelectric only implementation!…”

Section: Radionuclide Detectionmentioning

confidence: 99%

“…Our approach closely follows the development of our Bayesian model-based processor of a previous paper with the incorporation of Compton scattering photons into the processing scheme [10]. This is accomplished by extending the radionuclide representation to incorporate the scattered photons along with the development of a simplified one-dimensional transport model required to capture material interactions in the shield and detector materials [9].…”

Section: Introductionmentioning

confidence: 99%

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Model-based detection of radioactive contraband for harbor defense incorporating Compton scattering physics

Candy¹,

Chambers²,

Breitfeller³

et al. 2010

Oceans'10 Ieee Sydney

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Abstract-The detection of radioactive contraband is a critical problem is maintaining national security for any country. Photon emissions from threat materials challenge both detection and measurement technologies especially when concealed by various types of shielding complicating the transport physics significantly. This problem becomes especially important when ships are intercepted by U.S. Coast Guard harbor patrols searching for contraband. The development of a sequential model-based processor that captures both the underlying transport physics of gamma-ray emissions including Compton scattering and the measurement of photon energies offers a physics-based approach to attack this challenging problem. The inclusion of a basic radionuclide representation of absorbed/scattered photons at a given energy along with interarrival times is used to extract the physics information available from the noisy measurements portable radiation detection systems used to interdict contraband. It is shown that this physics representation can incorporated scattering physics leading to an "extended" model-based structure that can be used to develop an effective sequential detection technique. The resulting model-based processor is shown to perform quite well based on data obtained from a controlled experiment.

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Section: A Event Mode Sequencementioning

confidence: 99%

Section: A Event Mode Sequencementioning

confidence: 99%

Section: Radionuclide Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model-based detection of radioactive contraband for harbor defense incorporating Compton scattering physics

Candy¹,

Chambers²,

Breitfeller³

et al. 2010

Oceans'10 Ieee Sydney

Self Cite

View full text Add to dashboard Cite

show abstract

“…This property has motivated extensive study in the ability to identify radioactive material based on its energy spectrum [1], [2], [3]. The main objective of the radiation spectroscopy is to record a spectrum from a radiation detector, and a standard method of recording a spectrum is a multi-channel pulse height analyzer (MCA).…”

Section: Introductionmentioning

confidence: 99%

Probability density function transformation using Seeded Localized Averaging

Dimitrov¹,

Jordanov²

2011

2011 2nd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and Their Applications

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Abstract-Seeded Localized Averaging (SLA) is a spectrum acquisition method that averages pulse-heights in dynamic windows. SLA sharpens peaks in the acquired spectra. This work investigates the transformation of the original probability density function (PDF) in the process of applying the SLA procedure. We derive an analytical expression for the resulting probability density function after an application of SLA. In addition, we prove the following properties: 1) for symmetric distributions, SLA preserves both the mean and symmetry. 2) for unimodal symmetric distributions, SLA reduces variance, sharpening the distributions peak. Our results are the first to prove these properties, reinforcing past experimental observations. Specifically, our results imply that in the typical case of a spectral peak with Gaussian PDF the full width at half maximum (FWHM) of the transformed peak becomes narrower even with averaging of only two pulse-heights. While the Gaussian shape is no longer preserved, our results include an analytical expression for the resulting distribution. Examples of the transformation of other PDFs are presented.

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Bayesian Processors for Physics‐Based Applications

2016

Bayesian Signal Processing

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Physics-Based Detection of Radioactive Contraband: A Sequential Bayesian Approach

Cited by 24 publications

References 19 publications

Model-based detection of radioactive contraband for harbor defense incorporating Compton scattering physics

Model-based detection of radioactive contraband for harbor defense incorporating Compton scattering physics

Probability density function transformation using Seeded Localized Averaging

Bayesian Processors for Physics‐Based Applications

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