Title:
ANDRIL - Maximum Likelihood Algorithm for Deconvolution of SXT Images
Authors:
B. Sylwester and J. Sylwester
Abstract:
We present the iterative deconvolution algorithm called ANDRIL devoted for advanced processing of images obtained by the Soft X-ray Telescope (SXT) on Yohkoh. The algorithm is based on maximum likelihood approach. We introduced several modifications to this algorithm in order to optimize its properties. The goal of the algorithm is to remove numerically the image blurring due to the instrument point spread function (PSF) and increase the image resolution. The application of the algorithm allows to resolve soft X-ray structures on the SXT images on the angular scales down to 1 arcsec. Presented algorithm is being used recently for analysis of detailed morphology and physical conditions in the plasma of flaring structures.
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