ANDRIL - Maximum Likelihood Algorithm for Deconvolution of SXT Images

Details ANDRIL - Maximum Likelihood Algorithm for Deconvolution of SXT Images ANDRIL - Maximum Likelihood Algorithm for Deconvolution of SXT Images

Sep 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998aca....48..519s&link_type=abstract

Acta Astronomica, v.48, pp.519-545, (1998).

Astronomy and Astrophysics

Astronomy

11

Sun: X-Rays: Gamma Rays, Techniques: Image Processing

Scientific paper

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 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 in the SXT images on the angular scales down to 1arcsec. Presented algorithm has been recently used for analysis of detailed morphology and physical conditions in the plasma of flaring structures.

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