Han, S, Bertling, K, Dean, P et al. (10 more authors) (2016) Laser Feedback Interferometry as a Tool for Analysis of Granular Materials at Terahertz Frequencies: Towards Imaging and Identification of Plastic Explosives. Sensors, 16 (3). 352. ISSN 1424-8220
Abstract
We propose a self-consistent method for the analysis of granular materials at terahertz (THz) frequencies using a quantum cascade laser. The method is designed for signals acquired from a laser feedback interferometer, and applied to non-contact reflection-mode sensing. Our technique is demonstrated using three plastic explosives, achieving good agreement with reference measurements obtained by THz time-domain spectroscopy in transmission geometry. The technique described in this study is readily scalable: replacing a single laser with a small laser array, with individual lasers operating at different frequencies will enable unambiguous identification of select materials. This paves the way towards non-contact, reflection-mode analysis and identification of granular materials at THz frequencies using quantum cascade lasers.
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Copyright, Publisher and Additional Information: | © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). | ||||||||||||||
Keywords: | terahertz imaging; interferometry; semiconductor lasers, quantum cascade; optical constants | ||||||||||||||
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Institution: | The University of Leeds | ||||||||||||||
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) | ||||||||||||||
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Depositing User: | Symplectic Publications | ||||||||||||||
Date Deposited: | 18 Mar 2016 16:39 | ||||||||||||||
Last Modified: | 11 Apr 2018 13:49 | ||||||||||||||
Published Version: | http://dx.doi.org/10.3390/s16030352 | ||||||||||||||
Status: | Published | ||||||||||||||
Publisher: | MDPI | ||||||||||||||
Identification Number: | https://doi.org/10.3390/s16030352 |