Presentation + Paper
7 June 2024 Stand-off explosive sensing and imaging with scanning dual-comb IR spectrometer: limits of detection and operation in scanning mode
Vasili Savitski, James Feehan, Roman Spesyvtsev, Kerry Alton, Peter Glover, Lauren Holley, Jayne Newton, Chris Howle, Michael Papantonakis, Andrew McGill, Viet Nguyen
Author Affiliations +
Abstract
The capabilities of the dual-comb spectrometer for stand-off sensing of traces of explosives in scanning mode were systematically tested at a distance of 0.5 m with RDX and PETN with the mass loadings of 5-8 μg/cm2 deposited onto nonporous surfaces: glass, transparent acryl, white and black plastic. Total scanning time of 400 points area (12 x12 cm) with the beam diameter of ~ 1 cm in the target area was 14 s, limited by the processing time of the frequency comb data using our current hardware. Data analysis of the scanning area comprised baseline removal and plotting of Pearson correlation coefficients, as the heatmaps take 30-90 s to acquire depending on both the algorithms for baseline removal and the computer hardware used currently (24-core processor). Baseline removal with the asymmetric least squares (ALS) algorithm is more reliable but takes longer to process (90 s). The probability of detection on nonporous surfaces with the ALS method is 92-98% for PETN and 65-90% for RDX with the confidence level of 90%, depending on the surface material. With the false positive rate being set to 10%, the true positive rate of the system reaches 90% with the ALS method for baseline removal for RDX and PETN on tested surfaces.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Vasili Savitski, James Feehan, Roman Spesyvtsev, Kerry Alton, Peter Glover, Lauren Holley, Jayne Newton, Chris Howle, Michael Papantonakis, Andrew McGill, and Viet Nguyen "Stand-off explosive sensing and imaging with scanning dual-comb IR spectrometer: limits of detection and operation in scanning mode", Proc. SPIE 13056, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV, 1305613 (7 June 2024); https://doi.org/10.1117/12.3014271
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KEYWORDS
Spectroscopy

Correlation coefficients

Explosives

Infrared spectroscopy

Detection and tracking algorithms

Signal detection

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