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DeEn
Locations and ContactFHNW LibraryMedia Relations

      Logo of the University of Applied Sciences and Arts Northwestern Switzerland
      DeEn
      Locations and ContactFHNW LibraryMedia Relations

      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

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      Execution

      FHNW Institute for Data Science

      Collaboration

      NASA Goddard Space Flight Center

      Duration

      1.5 years

      Team

      Simon Felix, Roman Bolzern, Dr. Marina Battaglia, Prof. Dr. André Csillaghy

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