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arXiv · 2202.02178

Post-AO high-resolution imaging using the Kraken multi-frame blind deconvolution algorithm

Douglas A. Hope·Stuart M. Jefferies·Gianluca Li Causi·Marco Landoni·Marco Stangalini·Fernando Pedichini·Simone Antoniucci
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Abstract

In the context of extreme adaptive optics (ExAO) for large telescopes, we present the Kraken multi-frame blind deconvolution (MFBD) algorithm for processing high-cadence acquisitions, capable to provide a diffraction-limited estimation of the source brightness distribution. This is achieved by a data modeling of each frame in the sequence driven by the estimation of the instantaneous wavefront at the entrance pupil. Under suitable physical contraints, numerical convergence is guaranteed by an iteration scheme starting from a Compact MFBD (CMFBD) which provides a very robust initial guess which only employs a few frames. We describe the mathematics behind the process and report the high-resolution reconstruction of the spectroscopic binary {\alpha} And (16.3 mas separation) acquired with the precursor of SHARK-VIS, the upcoming high-contrast camera in the visible for the Large Binocular Telescope.

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Douglas A. Hope, Stuart M. Jefferies, Gianluca Li Causi, Marco Landoni, Marco Stangalini, Fernando Pedichini, Simone Antoniucci. 2022-02-04. Post-AO high-resolution imaging using the Kraken multi-frame blind deconvolution algorithm. https://doi.org/10.3847/1538-4357/ac2df3

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