scholarly journals Characterization of adaptive optics point spread function for anisoplanatic imaging. Application to stellar field deconvolution

2000 ◽  
Vol 142 (1) ◽  
pp. 149-156 ◽  
Author(s):  
T. Fusco ◽  
J.-M. Conan ◽  
L. M. Mugnier ◽  
V. Michau ◽  
G. Rousset
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Point Spread ◽  
Imaging Application ◽  
Spread Function

Characterization of the Lick adaptive optics point spread function

2006 ◽  
Author(s):  
Szymon Gladysz ◽  
Julian C. Christou ◽  
Michael Redfern
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Point Spread ◽  
Spread Function

scholarly journals Joint estimation of atmospheric and instrumental defects using a parsimonious point spread function model

2020 ◽  
Vol 643 ◽  
pp. A58
Author(s):  
Olivier Beltramo-Martin ◽  
Romain Fétick ◽  
Benoit Neichel ◽  
Thierry Fusco
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Complex Shape ◽  
Joint Estimation ◽  
Wind Effect ◽  
Model Parameters ◽  
Point Spread ◽  
Fitting Algorithm ◽  
Spread Function

Context. Modeling the optical point spread function (PSF) is particularly challenging for adaptive optics (AO)-assisted observations owing to the its complex shape and spatial variations. Aims. We aim to (i) exhaustively demonstrate the accuracy of a recent analytical model from comparison with a large sample of imaged PSFs, (ii) assess the conditions for which the model is optimal, and (iii) unleash the strength of this framework to enable the joint estimation of atmospheric parameters, AO performance and static aberrations. Methods. We gathered 4812 on-sky PSFs obtained from seven AO systems and used the same fitting algorithm to test the model on various AO PSFs and diagnose AO performance from the model outputs. Finally, we highlight how this framework enables the characterization of the so-called low wind effect on the Spectro-Polarimetic High contrast imager for Exoplanets REsearch (LWE; SPHERE) instrument and piston cophasing errors on the Keck II telescope. Results. Over 4812 PSFs, the model reaches down to 4% of error on both the Strehl-ratio (SR) and full width at half maximum (FWHM). We particularly illustrate that the estimation of the Fried’s parameter, which is one of the model parameters, is consistent with known seeing statistics and follows expected trends in wavelength using the Multi Unit Spectroscopic Explorer instrument (λ6/5) and field (no variations) from Gemini South Adaptive Optics Imager images with a standard deviation of 0.4 cm. Finally, we show that we can retrieve a combination of differential piston, tip, and tilt modes introduced by the LWE that compares to ZELDA measurements, as well as segment piston errors from the Keck II telescope and particularly the stair mode that has already been revealed from previous studies. Conclusions. This model matches all types of AO PSFs at the level of 4% error and can be used for AO diagnosis, post-processing, and wavefront sensing purposes.

Maximum likelihood approach for the adaptive optics point spread function reconstruction

2014 ◽  
Author(s):  
J. Exposito ◽  
Damien Gratadour ◽  
Gérard Rousset ◽  
Yann Clénet ◽  
Laurent Mugnier ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Adaptive Optics ◽  
Point Spread Function ◽  
Maximum Likelihood Approach ◽  
Point Spread ◽  
Spread Function ◽  
Likelihood Approach ◽  
Function Reconstruction

Adaptive Optics for Vision: The Eye's Adaptation to Point Spread Function

2003 ◽  
Vol 19 (5) ◽  
Author(s):  
Pablo Artal ◽  
Li Chen ◽  
Enrique J Fernández ◽  
Ben Singer ◽  
Silvestre Manzanera ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Point Spread ◽  
Spread Function

scholarly journals Characterizing the Adaptive Optics Off‐Axis Point‐Spread Function. I. A Semiempirical Method for Use in Natural Guide Star Observations

2002 ◽  
Vol 114 (801) ◽  
pp. 1267-1280 ◽  
Author(s):  
E. Steinbring ◽  
S. M. Faber ◽  
S. Hinkley ◽  
B. A. Macintosh ◽  
D. Gavel ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Semiempirical Method ◽  
Point Spread ◽  
Spread Function ◽  
Guide Star

scholarly journals New algorithms for adaptive optics point-spread function reconstruction

2006 ◽  
Vol 457 (1) ◽  
pp. 359-363 ◽  
Author(s):  
E. Gendron ◽  
Y. Clénet ◽  
T. Fusco ◽  
G. Rousset
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Point Spread ◽  
Spread Function ◽  
New Algorithms ◽  
Function Reconstruction

Myopic deconvolution of adaptive optics images by use of object and point-spread function power spectra

1998 ◽  
Vol 37 (21) ◽  
pp. 4614 ◽  
Author(s):  
Jean-Marc Conan ◽  
Laurent M. Mugnier ◽  
Thierry Fusco ◽  
Vincent Michau ◽  
Gérard Rousset
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Power Spectra ◽  
Point Spread ◽  
Spread Function
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