ANDRIL - MAXIMUM-LIKELIHOOD ALGORITHM FOR DECONVOLUTION OF SXT IMAGES

We present an 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 approac h. We introduced several modifications to this algorithm in order to o ptimize its properties. The goal of the algorithm is to remove numeric ally the image blurring due to the instrument point spread function (P SF) and increase the image resolution. The application of the algorith m allows to resolve soft X-ray structures in the SXT images oil the an gular scales down to 1 arcsec. Presented algorithm has been recently u sed for analysis of detailed morphology and physical conditions in the plasma of flaring structures.