Research Data Leeds Repository

Citation

Greenall, Nicholas and Valavanis, Alexander and Desai, Hemant J. and Acheampong, Daniel O. and Li, Lianhe and Cunningham, John and Davies, A. Giles and Linfield, Edmund and Burnett, Andrew (2016) Data associated with 'The Development of a Semtex-H Simulant for Terahertz Spectroscopy'. University of Leeds. [Dataset] https://doi.org/10.5518/116

Dataset description

The development and use of terahertz-frequency (THz) spectroscopy systems for security screening has shown an increased growth over the past 15 years. In order to test these systems in real world situations, safe simulants of illicit materials are required, particularly of explosives. Ideally simulants should mimic key features of the material of interest, such that it at least resembles or even appears indistinguishable from the material of interest to the interrogating technique(s), whilst not having hazardous or illicit properties. Ideally, simulants should: have similar physical properties such as malleability, density, surface energy, volatility etc; be non-toxic; be easy to clean and decontaminate from surfaces; be recyclable or disposable; and, be useable in a public environment. A THz explosive simulant would require spectral features at similar frequencies to those in a common explosive, in this instance Semtex-H, but would be safe to handle and be non-explosive. Here, we present a method for developing such a simulant based on a database of THz spectra of common organic molecules, and the use of a genetic algorithm to select a mixture of compounds automatically to form such a simulant. We propose four mixtures that could then be used to test the response of any instrument, working at terahertz frequencies, without the need for an explosive substance.

Subjects:	H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering
Related resources:	Location Type https://doi.org/10.1007/s10762-016-0336-z Publication https://eprints.whiterose.ac.uk/107475/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	06 Feb 2017 12:02
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/117
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Greenall, Nicholas https://orcid.org/0000-0002-7700-0549 University of Leeds https://ror.org/024mrxd33 ror Valavanis, Alexander https://orcid.org/0000-0001-5565-0463 University of Leeds https://ror.org/024mrxd33 ror Desai, Hemant J. https://orcid.org/0000-0002-2383-9293 Home Office https://ror.org/00y81cg83 ror Acheampong, Daniel O. Home Office https://ror.org/00y81cg83 ror Li, Lianhe https://orcid.org/0000-0003-4998-7259 University of Leeds https://ror.org/024mrxd33 ror Cunningham, John https://orcid.org/0000-0002-1805-9743 University of Leeds https://ror.org/024mrxd33 ror Davies, A. Giles https://orcid.org/0000-0002-1987-4846 University of Leeds https://ror.org/024mrxd33 ror Linfield, Edmund https://orcid.org/0000-0001-6912-0535 University of Leeds https://ror.org/024mrxd33 ror Burnett, Andrew https://orcid.org/0000-0003-2175-1893 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Publication date: 2016 Resource language: English Metadata language: English Publisher: University of Leeds Last Modified: 21 Aug 2024 07:52

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Documentation

Readme [3kB] Readme [3kB] Readme [3kB] Security: Anyone File name: readme.txt Content type: Documentation Description: Readme Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

comp_spectra.txt [31kB] comp_spectra.txt [31kB] comp_spectra.txt [31kB] Security: Anyone File name: comp_spectra.txt Content type: Data Description: Related Figures - 1,2. Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 31kB

predicted_sim_spectra.txt [7kB] predicted_sim_spectra.txt [7kB] predicted_sim_spectra.txt [7kB] Security: Anyone File name: predicted_sim_spectra.txt Content type: Data Description: Related Figures - 4 Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 7kB

measured_sim_powders.txt [11kB] measured_sim_powders.txt [11kB] measured_sim_powders.txt [11kB] Security: Anyone File name: measured_sim_powders.txt Content type: Data Description: Related Figures - 4,5 Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 11kB

measured_sim1_plastic.txt [4kB] measured_sim1_plastic.txt [4kB] measured_sim1_plastic.txt [4kB] Security: Anyone File name: measured_sim1_plastic.txt Content type: Data Description: Related Figures - 5. Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB