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Threat detection of liquid explosives and precursors from their x-ray scattering pattern using energy dispersive detector technology
Author(s): Jan Kehres; Mark Lyksborg; Ulrik L. Olsen
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Paper 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.

Paper Details

Date Published: 7 September 2017
PDF: 9 pages
Proc. SPIE 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII, 1039302 (7 September 2017); doi: 10.1117/12.2274519
Show Author Affiliations
Jan Kehres, Technical Univ. of Denmark (Denmark)
Mark Lyksborg, Technical Univ. of Denmark (Denmark)
Ulrik L. Olsen, Technical Univ. of Denmark (Denmark)


Published in SPIE Proceedings Vol. 10393:
Radiation Detectors in Medicine, Industry, and National Security XVIII
Gary P. Grim; Lars R. Furenlid; H. Bradford Barber, Editor(s)

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