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A Compressed Sensing-based Image Reconstruction Algorithm for Solar Flare X-Ray Observations View all abstracts by submitter

Marina Battaglia   Submitted: 2017-09-26 05:10

One way of imaging X-ray emission from solar flares is to measure Fourier components of the spatial X-ray source distribution. We present a new Compressed Sensing-based algorithm named VIS_CS, which reconstructs the spatial distribution from such Fourier components. We demonstrate the application of the algorithm on synthetic and observed solar flare X-ray data from the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) satellite and compare its performance with existing algorithms. VIS_CS produces competitive results with accurate photometry and morphology, without requiring any algorithm- and X-ray source-specific parameter tuning. Its robustness and performance make this algorithm ideally suited for generation of quicklook images or large image cubes without user intervention, such as for imaging spectroscopy analysis.

Authors: Simon Felix, Roman Bolzern, Marina Battaglia
Projects: RHESSI

Publication Status: ApJ, in press
Last Modified: 2017-09-26 13:44
Go to main E-Print page  Detection of 3-Minute Oscillations in Full-disk Lya Emission During A Solar Flare  Comparison of Helioseismic Far-side Active Region Detections with STEREO Far-Side EUV Observations of Solar Activity  Edit Entry  Download Preprint  Submitter's Homepage Delete Entry 

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