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Wavefront sensors in Adaptive OpticsChew, Theam Yong January 2008 (has links)
Atmospheric turbulence limits the resolving power of astronomical telescopes by distorting
the paths of light between distant objects of interest and the imaging camera at the telescope.
After many light-years of travel, passing through the turbulence in that last 100km of a
photon’s journey results in a blurred image in the telescope, no less than 1” (arc-second)
in width. To achieve higher resolutions, corresponding to smaller image widths, various
methods have been proposed with varying degrees of effectiveness and practicality.
Space telescopes avoid atmospheric turbulence completely and are limited in resolution
solely by the size of their mirror apertures. However, the design and maintenance cost of
space telescopes, which increases prohibitively with size, has limited the number of space
telescopes deployed for astronomical imaging purposes. Ground based telescopes can be
built larger and more cheaply, so atmospheric compensation schemes using adaptive optical
cancellation mirrors can be a cheaper substitute for space telescopes.
Adaptive optics is referred to here as the use of electronic control of optical component to
modify the phase of an incident ray within an optical system like an imaging telescope. Fast
adaptive optics systems operating in real-time can be used to correct the optical aberrations
introduced by atmospheric turbulence. To compensate those aberrations, they must first
be measured using a wavefront sensor. The wavefront estimate from the wavefront sensor
can then be applied, in a closed-loop system, to a deformable mirror to compensate the
incoming wavefront.
Many wavefront sensors have been proposed and are in used today in adaptive optics and
atmospheric turbulence measurement systems. Experimental results comparing the performance
of wavefront sensors have also been published. However, little detailed analyses
of the fundamental similarities and differences between the wavefront sensors have been
performed.
This study concentrates on fourmain types of wavefront sensors, namely the Shack-Hartmann,
pyramid, geometric, and the curvature wavefront sensors, and attempts to unify their description
within a common framework. The quad-cell is a wavefront slope detector and is
first examined as it lays the groundwork for analysing the Shack-Hartmann and pyramid
wavefront sensors.
The quad-cell slope detector is examined, and a new measure of performance based on the
Strehl ratio of the focal plane image is adopted. The quad-cell performance based on the
Strehl ratio is compared using simulations against the Cramer-Rao bound, an information
theoretic or statistical limit, and a polynomial approximation. The effects of quad-cell
modulation, its relationship to extended objects, and the effect on performance are also
examined briefly.
In the Shack-Hartmann and pyramid wavefront sensor, a strong duality in the imaging and
aperture planes exists, allowing for comparison of the performance of the two wavefront
sensors. Both sensors subdivide the input wavefront into smaller regions, and measure the
local slope. They are equivalent in every way except for the order in which the subdivision
and slope measurements were carried out. We show that this crucial difference leads to a
theoretically higher performance from the pyramid wavefront sensor. We also presented
simulations showing the trade-off between sensor precision and resolution.
The geometric wavefront sensor can be considered to be an improved curvature wavefront
sensor as it uses a more accurate algorithm based on geometric optics to estimate the wavefront.
The algorithm is relatively new and has not found application in operating adaptive
optics systems. Further analysis of the noise propagation in the algorithm, sensor resolution,
and precision is presented. We also made some observations on the implementation
of the geometric wavefront sensor based on image recovery through projections.
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Development and Verification of the non-linear Curvature Wavefront SensorMateen, Mala January 2015 (has links)
Adaptive optics (AO) systems have become an essential part of ground-based telescopes and enable diffraction-limited imaging at near-IR and mid-IR wavelengths. For several key science applications the required wavefront quality is higher than what current systems can deliver. For instance obtaining high quality diffraction-limited images at visible wavelengths requires residual wavefront errors to be well below 100 nm RMS. High contrast imaging of exoplanets and disks around nearby stars requires high accuracy control of low-order modes that dominate atmospheric turbulence and scatter light at small angles where exoplanets are likely to be found. Imaging planets using a high contrast corona graphic camera, as is the case for the Spectro-Polarimetric High-contrast Exoplanet Research (SPHERE) on the Very Large Telescope (VLT), and the Gemini Planet Imager (GPI), requires even greater wavefront control accuracy. My dissertation develops a highly sensitive non-linear Curvature Wavefront Sensor (nlCWFS) that can deliver diffraction-limited (λ/D) images, in the visible, by approaching the theoretical sensitivity limit imposed by fundamental physics. The nlCWFS is derived from the successful curvature wavefront sensing concept but uses a non-linear reconstructor in order to maintain sensitivity to low spatial frequencies. The nlCWFS sensitivity makes it optimal for extreme AO and visible AO systems because it utilizes the full spatial coherence of the pupil plane as opposed to conventional sensors such as the Shack-Hartmann Wavefront Sensor (SHWFS) which operate at the atmospheric seeing limit (λ/r₀). The difference is equivalent to a gain of (D/r₀)² in sensitivity, for the lowest order mode, which translates to the nlCWFS requiring that many fewer photons. When background limited the nlCWFS sensitivity scales as D⁴, a combination of D² gain due to the diffraction limit and D² gain due to telescope's collecting power. Whereas conventional wavefront sensors only benefit from the D² gain due to the telescope's collecting power. For a 6.5 m telescope, at 0.5 μm, and seeing of 0.5", the nlCWFS can deliver for low order modes the same wavefront measurement accuracy as the SHWFS with 1000 times fewer photons. This is especially significant for upcoming extremely large telescopes such as the Giant Magellan Telescope (GMT) which has a 25.4 m aperture, the Thirty Meter Telescope (TMT) and the European Extremely Large Telescope (E-ELT) which has a 39 m aperture.
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MagAO: status and scienceMorzinski, Katie M., Close, Laird M., Males, Jared R., Hinz, Phil M., Esposito, Simone, Riccardi, Armando, Briguglio, Runa, Follette, Katherine B., Pinna, Enrico, Puglisi, Alfio, Vezilj, Jennifer, Xompero, Marco, Wu, Ya-Lin 26 July 2016 (has links)
MagAO is the adaptive optics instrument at the Magellan Clay telescope at Las Campanas Observatory, Chile. MagAO has a 585-actuator adaptive secondary mirror and 1000-Hz pyramid wavefront sensor, operating on natural guide stars from R-magnitudes of -1 to 15. MagAO has been in on-sky operation for 166 nights since installation in 2012. MagAO's unique capabilities are simultaneous imaging in the visible and infrared with VisAO and Clio, excellent performance at an excellent site, and a lean operations model. Science results from MagAO include the first ground-based CCD image of an exoplanet, demonstration of the first accreting protoplanets, discovery of a new wide-orbit exoplanet, and the first empirical bolometric luminosity of an exoplanet. We describe the status, report the AO performance, and summarize the science results. New developments reported here include color corrections on red guide stars for the wavefront sensor; a new field stop stage to facilitate VisAO imaging of extended sources; and eyepiece observing at the visible-light diffraction limit of a 6.5-m telescope. We also discuss a recent hose failure that led to a glycol coolant leak, and the recovery of the adaptive secondary mirror (ASM) after this recent (Feb. 2016) incident.
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Méthode de rétrovisée pour la caractérisation de surfaces optiques dans une installation solaire à concentration / Backward-gazing Method for Characterizing Optical Surfaces in a Concentrated Solar Power PlantCoquand, Mathieu 16 March 2018 (has links)
La filière solaire thermodynamique concentrée est une des voies les plus prometteuses pour la production des énergies renouvelables du futur. L’efficacité des surfaces optiques est un des facteurs clés influant sur les performances d’une centrale. Un des défis technologiques restant à résoudre concerne le temps et les efforts nécessaires à l’ajustement et l’orientation de tous ces miroirs, ainsi que la calibration des héliostats pour assurer un suivi précis de la course du soleil et une concentration contrôlée. Le travail présenté dans ce manuscrit propose une réponse à ce problème par le développement d’une méthode de caractérisation des héliostats dite de « rétrovisée », consistant à placer quatre caméras au voisinage du récepteur pour enregistrer les répartitions de luminance occasionnées par la réflexion du soleil sur l’héliostat. La connaissance du profil de luminance solaire, combiné à ces quatre images, permet de reconstruire les pentes des erreurs optiques de l’héliostat.La première étape de l’étude de la méthode a consisté à établir les différentes équations permettant de reconstruire les pentes des surfaces optiques à partir des différents paramètres du système. Ces différents développements théoriques ont ensuite permis la réalisation de simulations numériques pour valider la méthode et définir ses possibilités et ses limites. Enfin, des tests expérimentaux ont été réalisés sur le site de la centrale Thémis. À la suite de ces expériences, des pistes d’améliorations ont été identifiées pour améliorer la précision expérimentale et envisager son déploiement industriel. / Concentrated solar power is a promising way for renewable energy production. Optical efficiency of the mirrors is one of the key factors influencing a power plant performance. Methods which allow the operator to adjust all the heliostat of a plant quickly, in addition of calibration and tracking, are essential for the rise of the technology. The work presented in this thesis is the study of a “backward-gazing” method consisting in placing four cameras near the receiver simultaneously recording brightness images of the sun reflected by the heliostat. The optical errors of the mirrors are retrieved from these four images and the knowledge of the one dimension sun radiance profile.The first step of the study consists in the theoretical description of the method. Then numerical simulations are performed to estimate the general accuracy and the limits of the backward-gazing method. In a third phase, experimental tests have been fulfilled at Themis solar power plant. Finally, ideas of improvement are proposed based on the experiments performed.
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