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 Team

FHNW Institute for Data Science NASA Goddard Space Flight Center 1.5 years Simon Felix, Roman Bolzern, Dr. Marina Battaglia, Prof. Dr. André Csillaghy