English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In the context of extreme adaptive optics (ExAO) for large telescopes, wepresent the Kraken multi-frame blind deconvolution (MFBD) algorithm forprocessing high-cadence acquisitions, capable to provide a diffraction-limitedestimation of the source brightness distribution. This is achieved by a datamodeling of each frame in the sequence driven by the estimation of theinstantaneous wavefront at the entrance pupil. Under suitable physicalcontraints, numerical convergence is guaranteed by an iteration scheme startingfrom a Compact MFBD (CMFBD) which provides a very robust initial guess whichonly employs a few frames. We describe the mathematics behind the process andreport the high-resolution reconstruction of the spectroscopic binary {\alpha}And (16.3 mas separation) acquired with the precursor of SHARK-VIS, theupcoming high-contrast camera in the visible for the Large Binocular Telescope.

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