RDX Detection with THz Spectroscopy

Spectroscopic analysis in the Terahertz frequency range, providing characteristic “signatures” for explosive and non-explosive materials, is proposed as an efficient and powerful tool for explosive identification. It is demonstrated that spectral responses of materials can be used as fingerprints th...

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Veröffentlicht in:Journal of infrared, millimeter and terahertz waves millimeter and terahertz waves, 2010-10, Vol.31 (10), p.1171-1181
Hauptverfasser: Michalopoulou, Zoi-Heleni, Mukherjee, Suman, Hor, Yew Li, Su, Ke, Liu, Zhiwei, Barat, Robert B., Gary, Dale E., Federici, John F.
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container_issue 10
container_start_page 1171
container_title Journal of infrared, millimeter and terahertz waves
container_volume 31
creator Michalopoulou, Zoi-Heleni
Mukherjee, Suman
Hor, Yew Li
Su, Ke
Liu, Zhiwei
Barat, Robert B.
Gary, Dale E.
Federici, John F.
description Spectroscopic analysis in the Terahertz frequency range, providing characteristic “signatures” for explosive and non-explosive materials, is proposed as an efficient and powerful tool for explosive identification. It is demonstrated that spectral responses of materials can be used as fingerprints that distinguish cyclotrimethylenetrinitramine (RDX) from other materials even with simple detectors and a limited number of available frequencies. Detection is performed using a modified least squares approach and multilayer perceptrons that operate on smoothed reflectance spectra. The performance of the detectors is evaluated through application to spectra of RDX and several common materials. A Receiver Operating Characteristic curve analysis demonstrates that our detectors exhibit the desirable properties of high probability of detection and low probability of false alarm.
doi_str_mv 10.1007/s10762-010-9693-1
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source Springer Nature - Complete Springer Journals
subjects Classical Electrodynamics
Detectors
Electrical Engineering
Electronics and Microelectronics
Engineering
Explosions
False alarms
Frequency ranges
Infrared
Instrumentation
Least squares method
Multilayer perceptrons
RDX
Reflectance
Reflectivity
Sensors
Spectra
Spectrum analysis
Terahertz frequencies
title RDX Detection with THz Spectroscopy
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