Presentation + Paper
7 September 2017 Threat detection of liquid explosives and precursors from their x-ray scattering pattern using energy dispersive detector technology
Jan Kehres, Mark Lyksborg, Ulrik L. Olsen
Author Affiliations +
Abstract
Energy dispersive X-ray diffraction (EDXRD) can be applied for identification of liquid threats in luggage scanning in security applications. To define the instrumental design, the framework for data reduction and analysis and test the performance of the threat detection in various scenarios, a flexible laboratory EDXRD test setup was build. A data set of overall 570 EDXRD spectra has been acquired for training and testing of threat identification algorithms. The EDXRD data was acquired with limited count statistics and at multiple detector angles and merged after correction and normalization. Initial testing of the threat detection algorithms with this data set indicate the feasibility of detection levels of > 95 % true positive with < 6 % false positive alarms.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Kehres, Mark Lyksborg, and Ulrik L. Olsen "Threat detection of liquid explosives and precursors from their x-ray scattering pattern using energy dispersive detector technology", Proc. SPIE 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII, 1039302 (7 September 2017); https://doi.org/10.1117/12.2274519
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Liquids

Explosives detection

X-ray diffraction

X-rays

Algorithm development

Explosives

Scanners

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