Compressed Sensing for Solar Flares
For the RHESSI satellite we develop an algorithm to reconstruct X-ray images of solar flares.
Technologies
Compressed Sensing, Quadratic programming, C#, IDL
Objective
Development of image reconstruction algorithms which take noisy X-ray measurements of a solar flare as an input, and output an image of the original X-ray emission of the solar flare.
Project status
Results have been shown at several international conferences. A working version of our new algorithm is currently being published, with above average reconstruction quality and speed. A scientific publication is in the making.
Project Information
Execution | |
Collaboration | |
Duration | 1.5 years |
Team | Simon Felix, Roman Bolzern, Dr. Marina Battaglia, Prof. Dr. André Csillaghy |