Detection and identification of explosive traces with low fill-factors using deep-ultraviolet resonance Raman detector

Balakishore Yellampalle; Kenneth Witt

doi:10.1117/12.2586341

12 April 2021 Detection and identification of explosive traces with low fill-factors using deep-ultraviolet resonance Raman detector

Balakishore Yellampalle, Kenneth Witt

Author Affiliations +

Proceedings Volume 11749, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXII; 117490A (2021) https://doi.org/10.1117/12.2586341
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Trace quantities of particles are generally left behind during the transport of explosive materials or from fingerprints of their handlers. We use a Deep-ultraviolet resonance Raman explosive detection (DURRED) sensor developed at the High Technology Foundation to study explosive trace samples with varying fill factors. In this study we show high sensitivity detection of very low-fill factor traces of KNO3, KClO3 and PETN. Receiver operating characteristics generated from samples (>20% fill) at a moderate signal-to-noise ratio of ~7 showed a probability of detection greater than >99.9%, a false acceptance rate of less than 2×10-4.

Conference Presentation

Citation Download Citation

Balakishore Yellampalle and Kenneth Witt "Detection and identification of explosive traces with low fill-factors using deep-ultraviolet resonance Raman detector", Proc. SPIE 11749, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXII, 117490A (12 April 2021); https://doi.org/10.1117/12.2586341

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