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Parameter optimization of a stand-off imaging Raman system for explosives detection

Ågren, Matilda LU (2015) In Lund Reports on Combustion Physics PHYM01 20132
Department of Physics
Abstract
This thesis work is a study and parameter optimization of a Raman system designed for explosives detection. The system, HLIN1, is a state-of-the-art prototype developed at the Swedish Defense Research Agency (FOI). To achieve the highest possible detection efficiency of different amounts of explosives placed upon different background materials, it is investigated how various system parameters affect the recorded Raman signal in these scenarios. The study does not include changes in the hardware setup.

In an initial study the effects of changes in several system parameters as well as noise factors are mapped out, and in a six-sigma optimization the settings of a selected set of parameters are further investigated. Focus has been to... (More)
This thesis work is a study and parameter optimization of a Raman system designed for explosives detection. The system, HLIN1, is a state-of-the-art prototype developed at the Swedish Defense Research Agency (FOI). To achieve the highest possible detection efficiency of different amounts of explosives placed upon different background materials, it is investigated how various system parameters affect the recorded Raman signal in these scenarios. The study does not include changes in the hardware setup.

In an initial study the effects of changes in several system parameters as well as noise factors are mapped out, and in a six-sigma optimization the settings of a selected set of parameters are further investigated. Focus has been to maximize the signal resolution both spectrally and spatially while reducing the measurement time. From the studies, it is possible to get an understanding of how, and how much, changes in system parameters affect the recorded Raman signal and the capability of the system to detect explosives. It is shown that it is possible to significantly improve the signal by using the optimal settings, relative to if the default settings of the system are used. (Less)
Please use this url to cite or link to this publication:
author
Ågren, Matilda LU
supervisor
organization
course
PHYM01 20132
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Raman spectroscopy, imaging spectroscopy, explosives detection, parameter optimization
publication/series
Lund Reports on Combustion Physics
report number
LRCP-184
ISSN
1102-8718
language
English
id
5424927
date added to LUP
2015-06-08 07:37:59
date last changed
2015-06-08 07:37:59
@misc{5424927,
  abstract     = {This thesis work is a study and parameter optimization of a Raman system designed for explosives detection. The system, HLIN1, is a state-of-the-art prototype developed at the Swedish Defense Research Agency (FOI). To achieve the highest possible detection efficiency of different amounts of explosives placed upon different background materials, it is investigated how various system parameters affect the recorded Raman signal in these scenarios. The study does not include changes in the hardware setup.

In an initial study the effects of changes in several system parameters as well as noise factors are mapped out, and in a six-sigma optimization the settings of a selected set of parameters are further investigated. Focus has been to maximize the signal resolution both spectrally and spatially while reducing the measurement time. From the studies, it is possible to get an understanding of how, and how much, changes in system parameters affect the recorded Raman signal and the capability of the system to detect explosives. It is shown that it is possible to significantly improve the signal by using the optimal settings, relative to if the default settings of the system are used.},
  author       = {Ågren, Matilda},
  issn         = {1102-8718},
  keyword      = {Raman spectroscopy,imaging spectroscopy,explosives detection,parameter optimization},
  language     = {eng},
  note         = {Student Paper},
  series       = {Lund Reports on Combustion Physics},
  title        = {Parameter optimization of a stand-off imaging Raman system for explosives detection},
  year         = {2015},
}