560 research outputs found
Adaptive Optics: introduction to the feature issue
This Applied Optics feature issue is a companion to the Journal of the Optical Society of America A feature issue on the same topic. The feature highlights the expansion of adaptive optics to different applications as well as its development to routine applications brought about because of significant advances in component technologies
Accurate measurement of Cn2 profile with Shack-Hartmann data
The precise reconstruction of the turbulent volume is a key point in the
development of new-generation Adaptive Optics systems. We propose a new Cn2
profilometry method named CO-SLIDAR (COupled Slope and scIntillation Detection
And Ranging), that uses correlations of slopes and scintillation indexes
recorded on a Shack-Hartmann from two separated stars. CO-SLIDAR leads to an
accurate Cn2 retrieval for both low and high altitude layers. Here, we present
an end-to-end simulation of the Cn2 profile measurement. Two Shack-Hartmann
geometries are considered. The detection noises are taken into account and a
method to subtract the bias is proposed. Results are compared to Cn2 profiles
obtained from correlations of slopes only or correlations of scintillation
indexes only.Comment: 10 pages, 8 figures, SPIE Conference "Astronomical Telescopes and
Instrumentation" 2012, Amsterdam, paper 8447-19
Local Ensemble Transform Kalman Filter: a non-stationary control law for complex adaptive optics systems on ELTs
We propose a new algorithm for an adaptive optics system control law which
allows to reduce the computational burden in the case of an Extremely Large
Telescope (ELT) and to deal with non-stationary behaviors of the turbulence.
This approach, using Ensemble Transform Kalman Filter and localizations by
domain decomposition is called the local ETKF: the pupil of the telescope is
split up into various local domains and calculations for the update estimate of
the turbulent phase on each domain are performed independently. This data
assimilation scheme enables parallel computation of markedly less data during
this update step. This adapts the Kalman Filter to large scale systems with a
non-stationary turbulence model when the explicit storage and manipulation of
extremely large covariance matrices are impossible. First simulation results
are given in order to assess the theoretical analysis and to demonstrate the
potentiality of this new control law for complex adaptive optics systems on
ELTs.Comment: Proceedings of the AO4ELT3 conference; 8 pages, 3 figure
Simultaneous exoplanet detection and instrument aberration retrieval in multispectral coronagraphic imaging
High-contrast imaging for the detection and characterization of exoplanets
relies on the instrument's capability to block out the light of the host star.
Some current post-processing methods for calibrating out the residual speckles
use information redundancy offered by multispectral imaging but do not use any
prior information on the origin of these speckles. We investigate whether
additional information on the system and image formation process can be used to
more finely exploit the multispectral information. We developed an inversion
method in a Bayesian framework that is based on an analytical imaging model to
estimate both the speckles and the object map. The model links the instrumental
aberrations to the speckle pattern in the image focal plane, distinguishing
between aberrations upstream and downstream of the coronagraph. We propose and
validate several numerical techniques to handle the difficult minimization
problems of phase retrieval and achieve a contrast of 10^6 at 0.2 arcsec from
simulated images, in the presence of photon noise. This opens up the the
possibility of tests on real data where the ultimate performance may override
the current techniques if the instrument has good and stable coronagraphic
imaging quality. This paves the way for new astrophysical exploitations or even
new designs for future instruments
Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results
We propose a new algorithm for an adaptive optics system control law, based
on the Linear Quadratic Gaussian approach and a Kalman Filter adaptation with
localizations. It allows to handle non-stationary behaviors, to obtain
performance close to the optimality defined with the residual phase variance
minimization criterion, and to reduce the computational burden with an
intrinsically parallel implementation on the Extremely Large Telescopes (ELTs).Comment: This paper was published in Optics Express and is made available as
an electronic reprint with the permission of OSA. The paper can be found at
the following URL on the OSA website: http://www.opticsinfobase.org/oe/ .
Systematic or multiple reproduction or distribution to multiple locations via
electronic or other means is prohibited and is subject to penalties under la
Optique adaptative  : correction des effets de la turbulence atmosphérique sur les images astronomiques
Today, adaptive optics (AO) is installed on all very large astronomical telescopes. It allows to overcome the limitation in angular resolution imposed on large ground-based telescopes by the atmospheric turbulence perturbations. This review paper presents the state of the art of the field for astronomical applications. It gives the principles of AO and describes its main components which are the deformable mirrors, the wavefront sensors and the control algorithms. The paper also presents the main recent achievements and ongoing projects. First, for the direct imaging of extra-solar planets by extreme AO and coronography, taking as example the SPHERE instrument. Then to solve the problem of the very limited sky coverage by using laser guide star and to extend the AO correction beyond the isoplanatic patch. Thus, the various laser-assisted tomographic AO concepts are presented with examples of each realization as for the laser tomography AO, the multi-conjugate AO and the multi-object AO. Finally, the challenges of the new generation of giant telescopes are discussed at the end of the paper with a particular focus on the European Extremely Large Telescope (ELT) project.Lâoptique adaptative (OA), installĂ©e aujourdâhui sur tous les trĂšs grands tĂ©lescopes astronomiques, permet de sâaffranchir de la limitation en rĂ©solution angulaire imposĂ©e aux grands tĂ©lescopes au sol par les perturbations de la turbulence atmosphĂ©rique. Cet article de revue prĂ©sente lâĂ©tat de lâart du domaine pour les applications astronomiques. Il donne les principes de lâOA et dĂ©crit ses composants principaux que sont les miroirs dĂ©formables, les analyseurs de surface dâonde et les algorithmes de commande. Lâarticle prĂ©sente aussi les principales rĂ©alisations rĂ©centes et les projets en cours. Dâabord pour lâimagerie directe des planĂštes extrasolaires par OA extrĂȘme et coronographie, en prenant comme exemple lâinstrument SPHERE. Ensuite pour rĂ©soudre par Ă©toile guide laser la problĂ©matique de la couverture du ciel trop faible et Ă©tendre la correction de lâOA au-delĂ du domaine isoplanĂ©tique. Ainsi les systĂšmes dâOA tomographiques assistĂ©es par laser sont prĂ©sentĂ©s avec Ă chaque fois des exemples de rĂ©alisation comme pour lâOA Ă tomographie laser, lâOA multiconjuguĂ©e et lâOA multi-objet. Enfin les dĂ©fis des tĂ©lescopes gĂ©ants, dits extrĂȘmes, sont abordĂ©s en fin dâarticle avec un focus particulier sur le projet europĂ©en de lâExtremely Large Telescope (ELT)
Tomographic reconstruction for Wide Field Adaptive Optics systems: Fourier domain analysis and fundamental limitations
Several Wide Field of view Adaptive Optics (WFAO) concepts like
Multi-Conjugate AO (MCAO), Multi-Object AO (MOAO) or Ground-Layer AO (GLAO) are
currently studied for the next generation of Extremely Large Telescopes (ELTs).
All these concepts will use atmospheric tomography to reconstruct the turbulent
phase volume. In this paper, we explore different reconstruction algorithms and
their fundamental limitations. We conduct this analysis in the Fourier domain.
This approach allows us to derive simple analytical formulations for the
different configurations, and brings a comprehensive view of WFAO limitations.
We then investigate model and statistical errors and their impact on the phase
reconstruction. Finally, we show some examples of different WFAO systems and
their expected performance on a 42m telescope case.Comment: 40 pages, 23 figures, accepted for publication in JOSA-
PSF reconstruction for NAOS-CONICA
Adaptive optics (AO) allows one to derive the point spread function (PSF)
simultaneously to the science image, which is a major advantage in
post-processing tasks such as astrometry/photometry or deconvolution. Based on
the algorithm of \citet{veran97}, PSF reconstruction has been developed for
four different AO systems so far: PUEO, ALFA, Lick-AO and Altair. A similar
effort is undertaken for NAOS/VLT in a collaboration between the group PHASE
(Onera and Observatoire de Paris/LESIA) and ESO. In this paper, we first
introduce two new algorithms that prevent the use of the so-called "
functions" to: (1) avoid the storage of a large amount of data (for both new
algorithms), (2) shorten the PSF reconstruction computation time (for one of
the two) and (3) provide an estimation of the PSF variability (for the other
one). We then identify and explain issues in the exploitation of real-time
Shack-Hartmann (SH) data for PSF reconstruction, emphasising the large impact
of thresholding in the accuracy of the phase residual estimation. Finally, we
present the data provided by the NAOS real-time computer (RTC) to reconstruct
PSF ({\em (1)} the data presently available, {\em (2)} two NAOS software
modifications that would provide new data to increase the accuracy of the PSF
reconstruction and {\em (3)} the tests of these modifications) and the PSF
reconstruction algorithms we are developing for NAOS on that basis.Comment: 12 pages & 13 figures. To be published in the proceedings of the SPIE
conference Advances in Adaptive Optics - Astronomical Telescopes &
Instrumentation, 24-31 May 2006, Orland
- âŠ