Time Series Evaluation of Radiation Portal Monitor Data for Point Source Detection

Robinson, Sean M.; Bender, Sarah; Flumerfelt, Eric; Lopresti, Charles A.; Woodring, Mitchell L.

doi:10.1109/tns.2009.2034372

Cited by 17 publications

(8 citation statements)

References 16 publications

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“…We did not consider the signal shape during the profile, because either the vehicle is assumed stationary, or the total neutron counts over the entire profile are used. References [4,5,9,10] provide analyses appropriate for alarm rules that do consider signal shape during the profile.…”

Section: Discussion and Summarymentioning

confidence: 99%

Pass/Fail Criterion for a Simple Radiation

Burr

Gavron²

2012

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One of the simplest tests of a radiation portal monitor (RPM) is a series of n repeats (a vehicle drive-through) in which the i th repeat records a total number of counts X i and alarms if X i ≥ T where T is an alarm threshold. The RPM performance tests we consider use n repeats to estimate the probability p = P(X i ≥ T). This paper addresses criterion A for testing RPMs, where criterion A is: for specified source strength, we must be at least 95% confident that p ≥ 0.5. To assess criterion A, we consider a distribution-free test and a test relying on assuming the counts X i have approximately a Poisson distribution. Both test options require tolerance interval construction.

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Section: Discussion and Summarymentioning

confidence: 99%

Pass/Fail Criterion for a Simple Radiation

Burr

Gavron²

2012

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“…It has notably been established that the spectral analysis of the signal, even for unresolved detectors, allows a gain in detection performance [25]. Another upgrade can be achieved by time series analysis techniques, especially when RPM are deployed in a network, which allows the implementation of correlation methods [26]. Figure 12 presents the schematic of a RPM network implementing n channels and dedicated to moving source detection.…”

Section: Ionizing Radiation Effects and Applicationsmentioning

confidence: 99%

Recent Developments in Count Rate Processing Associated with Radiation Monitoring Systems

Coulon¹,

Dumazert²

2018

Ionizing Radiation Effects and Applications

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This chapter presents some recent data processing developments associated with radiation monitoring systems. Radiation monitors have to continuously provide count rate estimations with accuracy and precision. A filtering technique based on a Centered Significance Test coupled with a Brown's double exponential filter has been developed and used in compensation measurement and moving sources detection schemes.

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“…The instantaneous count rate λ j ½t i which is expected to be registered at the ith integration time step by the jth RPM detector, described as a function of the time-dependent source carrier position x½t i , is provided by (5). The calculation has been carried out under the approximation that the source and the detector may be modeled by their centers of mass and therefore that the principle of the ratio of solid angles applies.…”

Section: Simulation Of the Radiation Signal Time Depth And Memory Bumentioning

confidence: 99%

“…To increase the sensitivity of the detection, especially critical under low signal-to-noise ratios (SNR, for which we hereby use the classical definition of the source signal count divided by the square root of the background fundamental count), energy windowing strategies have been introduced. Robinson et al [5] compare at each given time the observed spectrum to adequately chosen energy windows over a background previously acquired at the RPM level. To maximize the gain in sensitivity, Vilim et al [6] select the energy ranges providing the highest SNR values.…”

Section: Introduction and Related Workmentioning

confidence: 99%

A robust hypothesis test for the sensitive detection of constant speed radiation moving sources

Dumazert¹,

Coulon²,

Kondrasovs³

et al. 2015

Nuclear Instruments and Methods in Physics Research Section A:

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International audienceRadiation Portal Monitors are deployed in linear networks to detect radiological material in motion. As a complement to single and multichannel detection algorithms, inefficient under too low signal-to-noise ratios, temporal correlation algorithms have been introduced. Test hypothesis methods based on empirically estimated mean and variance of the signals delivered by the different channels have shown significant gain in terms of a tradeoff between detection sensitivity and false alarm probability. This paper discloses the concept of a new hypothesis test for temporal correlation detection methods, taking advantage of the Poisson nature of the registered counting signals, and establishes a benchmark between this test and its empirical counterpart. The simulation study validates that in the four relevant configurations of a pedestrian source carrier under respectively high and low count rate radioactive backgrounds, and a vehicle source carrier under the same respectively high and low count rate radioactive backgrounds, the newly introduced hypothesis test ensures a significantly improved compromise between sensitivity and false alarm. It also guarantees that the optimal coverage factor for this compromise remains stable regardless of signal-to-noise ratio variations between 2 and 0.8, therefore allowing the final user to parametrize the test with the sole prior knowledge of background amplitude

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Time Series Evaluation of Radiation Portal Monitor Data for Point Source Detection

Cited by 17 publications

References 16 publications

Pass/Fail Criterion for a Simple Radiation

Pass/Fail Criterion for a Simple Radiation

Recent Developments in Count Rate Processing Associated with Radiation Monitoring Systems

A robust hypothesis test for the sensitive detection of constant speed radiation moving sources

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