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First diffraction-limited astronomical images with adaptive optics

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TLDR
Les premieres observations astronomiques realisees avec un systeme d'optique adaptative, basees au sol, sont presentees as discussed by the authors, sont presentedees
Abstract
Les premieres observations astronomiques realisees avec un systeme d'optique adaptative, basees au sol, sont presentees

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Wave-front temporal spectra in high-resolution imaging through turbulence

TL;DR: In this article, a general formulation for the derivation of theoretical temporal power spectra of quantities related to turbulent wave-front phase is given for various quantities of interest in the field of interferometry (differential piston), wavefront sensing (Shack-Hartmann and curvature sensor), adaptive optics (Zernike polynomials), and seeing monitoring (differentially angle of arrival).
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Mistral: a myopic edge-preserving image restoration method, with application to astronomical adaptive-optics-corrected long-exposure images

TL;DR: A deconvolution method developed in a Bayesian framework in the context of imaging through turbulence with adaptive optics that uses a noise model that accounts for both photonic and detector noises and reckons with an imperfect knowledge of the point-spread function (PSF).
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Efficient computation of minimum-variance wave-front reconstructors with sparse matrix techniques.

TL;DR: In this paper, the authors proposed a sparse minimum-variance reconstructor for a conventional natural guide star AO system using a sparse approximation for turbulence statistics and recognizing that the nonsparse matrix terms arising from LGS position uncertainty are low-rank adjustments that can be evaluated by using the matrix inversion lemma.
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Optimal wave-front reconstruction strategies for multiconjugate adaptive optics.

TL;DR: An optimal approach for the phase reconstruction in a large field of view (FOV) for multiconjugate adaptive optics is proposed based on a minimum-mean-square-error estimator that minimizes the mean residual phase variance in the FOV of interest.