Parameter optimization of a stand-off imaging Raman system for explosives detection
(2015) In Lund Reports on Combustion Physics PHYM01 20132Department 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:
http://lup.lub.lu.se/student-papers/record/5424927
- author
- Ågren, Matilda LU
- supervisor
-
- Joakim Bood LU
- organization
- course
- PHYM01 20132
- year
- 2015
- 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}}, 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}}, }