A compressed sensing approach to 3D spectrometry
POSTER
Abstract
We present the design of a spectrometer that can retrieve a 3D spectral profile with a single measurement. The design of the spectrometer is built around a compressed sensing algorithm - which allows the spectrometer to retrieve 3D information from an otherwise 2D sensor. Numerical trials has demonstrated confidence in the accuracy of retrieved 3D spectral profiles, even in the presence of Gaussian noise. Experimental trials have proved functional. The spectrometer may be implemented to accurately analyse ultrashort pulses such as femtosecond chirped pulses in diagnosing plasmas.
Presenters
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Robin Hsiao-Wu Wang
University of Oxford
Authors
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Robin Hsiao-Wu Wang
University of Oxford
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Muhammad F Kasim
University of Oxford
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Marko Mayr
University of Oxford
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James Sadler
University of Oxford
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Alexander Francis Savin
University of Oxford
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Benjamin Spiers
University of Oxford
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Ramy Aboushelbaya
University of Oxford
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Peter Andrew Norreys
Rutherford Appleton Lab, University of Oxford, University of Oxford