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3 Laboratory Tests of Pulsed Fast Neutron Transmission Spectroscopy
Pages 13-16

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From page 13...
... In 38 of the 75 explosives TABLE 3-1 Performance of the University of Oregon Explosives-Detection Algorithm in Blind Tests Detection Algorithm p a d Pfa Contiguous pixel Shape test Operator intervention Post-test algorithm adjustment 89.3% 93% 94.7% 93.3% 13.6% 1 1.8% 22% 4.5% aPd indicates a "true detection," the correct identification of the region of the bag containing the explosive.
From page 14...
... An automated explosive detection algorithm is under development using the regression neural net analysis. A preliminary version incorporating the neutron attenuation magnitude and the nitrogen content was used to analyze the blind test scans.
From page 15...
... ASSESSM ENT OF DETECTION PERFORMANCE The post-processing of blind test data using detection algorithms optimized to the test data can produce misleading results. For example, if the detection algorithm is optimized to specific test data, it is possible that when new data are analyzed (i.e., from a new set of baggage)
From page 16...
... The problems listed above will have to be addressed through more laboratory experimentation or detailed radiation transport modeling. The Tensor twodimensional 99-element array detector exhibited a much higher false alarm rate during blind testing (compared to the University of Oregon tests)


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