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Proceedings Paper

Plasmonic enhanced terahertz time-domain spectroscopy system for identification of common explosives
Author(s): Yiğit Demirağ; Bayram Bütün; Ekmel Özbay
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Paper Abstract

In this study, we present a classification algorithm for terahertz time-domain spectroscopy systems (THz-TDS) that can be trained to identify most commonly used explosives (C4, HMX, RDX, PETN, TNT, composition-B and blackpowder) and some non-explosive samples (lactose, sucrose, PABA). Our procedure can be used in any THz-TDS system that detects either transmission or reflection spectra at room conditions. After preprocessing the signal in low THz regime (0.1 – 3 THz), our algorithm takes advantages of a latent space transformation based on principle component analysis in order to classify explosives with low false alarm rate.

Paper Details

Date Published: 5 May 2017
PDF: 6 pages
Proc. SPIE 10210, Next-Generation Spectroscopic Technologies X, 1021012 (5 May 2017); doi: 10.1117/12.2264953
Show Author Affiliations
Yiğit Demirağ, Bilkent Univ. (Turkey)
Bayram Bütün, Bilkent Univ. (Turkey)
Ekmel Özbay, Bilkent Univ. (Turkey)

Published in SPIE Proceedings Vol. 10210:
Next-Generation Spectroscopic Technologies X
Mark A. Druy; Richard A. Crocombe; Steven M. Barnett; Luisa T. Profeta, Editor(s)

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