STIX/RHESSI Image Reconstruction with Compressed Sensing

Test a compressed sensing imaging algorithm on STIX and RHESSI data.

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The primary purpose of this website is to make a compressed sensing imaging algorithm available publicly. It allows you to run an implementation on various visibilities (RHESSI, STIX, simulated data). The algorithm is available via REST API, with an IDL and Python frontend.



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Upload FITS/SAV files


Configuration

keV









(0-1)
Smaller values provide more details, but are prone to over-resolution. Larger values lead to reconstructions lacking details.
(1-3)
Larger values bias the reconstruction towards images with fewer side-lobes.


Reconstructions

BACKPROJECTION

VISDICTL1

UVSMOOTH

CLEAN