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