9 Adaptive Optics
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The European Southern Observatory Your Talk
The European Southern Observatory Your talk Your name Overview What is astronomy? ESO history What is ESO? La Silla VLT ALMA E-ELT ESO Visitor Centre | 9 October 2013 Why are we here? What is astronomy? And what it all is good for? ESO Visitor Centre | 9 October 2013 What is astronomy? Astronomy is the study of all celestial objects. It is the study of almost every property of the Universe from stars, planets and comets to the largest cosmological structures and phenomena; across the entire electromagnetic spectrum and more. It is the study of all that has been, all there is and all that there ever will be. From the effects of the smallest atoms to the appearance of the Universe on the largest scales. ESO Visitor Centre | 9 October 2013 Astronomy in the ancient world Astronomy is the oldest of the natural sciences, dating back to antiquity, with its origins in the religious, mythological, and astrological practices of the ancient civilisations. Early astronomy involved observing the regular patterns of the motions of visible celestial objects, especially the Sun, Moon, stars and naked eye observations of the planets. The changing position of the Sun along the horizon or the changing appearances of stars in the course of the year was used to establish agricultural or ritual calendars. ESO Visitor Centre | 9 October 2013 Astronomy in the ancient world Australian Aboriginals belong to the oldest continuous culture in the world, stretching back some 50 000 years… It is said that they were the first astronomers. “Emu in the sky” at Kuringai National Park, Sydney -Circa unknown ESO Visitor Centre | 9 October 2013 Astronomy in the ancient world Goseck Circle Mnajdra Temple Complex c. -
Wavefront Decomposition and Propagation Through Complex Models with Analytical Ray Theory and Signal Processing Paul Cristini, Eric De Bazelaire
Wavefront decomposition and propagation through complex models with analytical ray theory and signal processing Paul Cristini, Eric de Bazelaire To cite this version: Paul Cristini, Eric de Bazelaire. Wavefront decomposition and propagation through complex models with analytical ray theory and signal processing. 2006. hal-00110279 HAL Id: hal-00110279 https://hal.archives-ouvertes.fr/hal-00110279 Preprint submitted on 27 Oct 2006 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. March 31, 2006 14:7 WSPC/130-JCA jca_sbrt Journal of Computational Acoustics c IMACS Wavefront decomposition and propagation through complex models with analytical ray theory and signal processing P. CRISTINI CNRS-UMR5212 Laboratoire de Mod´elisation et d'Imagerie en G´eosciences de Pau Universit´e de Pau et des Pays de l'Adour BP 1155, 64013 Pau Cedex, France [email protected] E. De BAZELAIRE 11, Route du bourg 64230 Beyrie-en-B´earn, France [email protected] Received (Day Month Year) Revised (Day Month Year) We present a novel method which can perform the fast computation of the times of arrival of seismic waves which propagate between a source and an array of receivers in a stratified medium. -
Model-Based Wavefront Reconstruction Approaches For
Submitted by Dipl.-Ing. Victoria Hutterer, BSc. Submitted at Industrial Mathematics Institute Supervisor and First Examiner Univ.-Prof. Dr. Model-based wavefront Ronny Ramlau reconstruction approaches Second Examiner Eric Todd Quinto, Ph.D., Robinson Profes- for pyramid wavefront sensors sor of Mathematics in Adaptive Optics October 2018 Doctoral Thesis to obtain the academic degree of Doktorin der Technischen Wissenschaften in the Doctoral Program Technische Wissenschaften JOHANNES KEPLER UNIVERSITY LINZ Altenbergerstraße 69 4040 Linz, Osterreich¨ www.jku.at DVR 0093696 Abstract Atmospheric turbulence and diffraction of light result in the blurring of images of celestial objects when they are observed by ground based telescopes. To correct for the distortions caused by wind flow or small varying temperature regions in the at- mosphere, the new generation of Extremely Large Telescopes (ELTs) uses Adaptive Optics (AO) techniques. An AO system consists of wavefront sensors, control algo- rithms and deformable mirrors. A wavefront sensor measures incoming distorted wave- fronts, the control algorithm links the wavefront sensor measurements to the mirror actuator commands, and deformable mirrors mechanically correct for the atmospheric aberrations in real-time. Reconstruction of the unknown wavefront from given sensor measurements is an Inverse Problem. Many instruments currently under development for ELT-sized telescopes have pyramid wavefront sensors included as the primary option. For this sensor type, the relation between the intensity of the incoming light and sensor data is non-linear. The high number of correcting elements to be controlled in real-time or the segmented primary mirrors of the ELTs lead to unprecedented challenges when designing the control al- gorithms. -
Megakernels Considered Harmful: Wavefront Path Tracing on Gpus
Megakernels Considered Harmful: Wavefront Path Tracing on GPUs Samuli Laine Tero Karras Timo Aila NVIDIA∗ Abstract order to handle irregular control flow, some threads are masked out when executing a branch they should not participate in. This in- When programming for GPUs, simply porting a large CPU program curs a performance loss, as masked-out threads are not performing into an equally large GPU kernel is generally not a good approach. useful work. Due to SIMT execution model on GPUs, divergence in control flow carries substantial performance penalties, as does high register us- The second factor is the high-bandwidth, high-latency memory sys- age that lessens the latency-hiding capability that is essential for the tem. The impressive memory bandwidth in modern GPUs comes at high-latency, high-bandwidth memory system of a GPU. In this pa- the expense of a relatively long delay between making a memory per, we implement a path tracer on a GPU using a wavefront formu- request and getting the result. To hide this latency, GPUs are de- lation, avoiding these pitfalls that can be especially prominent when signed to accommodate many more threads than can be executed in using materials that are expensive to evaluate. We compare our per- any given clock cycle, so that whenever a group of threads is wait- formance against the traditional megakernel approach, and demon- ing for a memory request to be served, other threads may be exe- strate that the wavefront formulation is much better suited for real- cuted. The effectiveness of this mechanism, i.e., the latency-hiding world use cases where multiple complex materials are present in capability, is determined by the threads’ resource usage, the most the scene. -
8. Adaptive Optics 299
8. Adaptive Optics 299 8.1 Introduction Adaptive Optics is absolutely essential for OWL, to concentrate the light for spectroscopy and imaging and to reach the diffraction limit on-axis or over an extended FoV. In this section we present a progressive implementation plan based on three generation of Adaptive Optics systems and, to the possible extent, the corresponding expected performance. The 1st generation AO − Single Conjugate, Ground Layer, and distributed Multi-object AO − is essentially based on Natural Guide Stars (NGSs) and makes use of the M6 Adaptive Mirror included in the Telescope optical path. The 2nd generation AO is also based on NGSs but includes a second deformable mirror (M5) conjugated at 7-8 km – Multi-Conjugate Adaptive Optics − or a post focus mirror conjugated to the telescope pupil with a much higher density of actuators -tweeter- in the case of EPICS. The 3rd generation AO makes use of single or multiple Laser Guide Stars, preferably Sodium LGSs, and should provide higher sky coverage, better Strehl ratio and correction at shorter wavelengths. More emphasis in the future will be given to the LGS assisted AO systems after having studied, simulated and demonstrated the feasibility of the proposed concepts. The performance presented for the AO systems is based on advances from today's technology in areas where we feel confident that such advances will occur (e.g. the sizes of the deformable mirrors). Even better performance could be achieved if other technologies advance at the same rate as in the past (e.g. the density of actuators for deformable mirrors). -
Position Sensing in Adaptive Optics
Position sensing in Adaptive Optics Christopher Saunter Durham University Centre for Advanced Instrumentation Durham Smart Imaging Durham Smart Imaging Active Opt ics Adappptive Optics Durham Smart Imaging Active Optics • Relaxing the mechanical rigidity of a telescope support structure • CiihillidiCompensating with actively aligned mirrors • Massive weight and cost savings over a rigid bodyyp telescope – the onlyyp practical wa y of building ELTs. • Slow – 1Hz or less Durham Smart Imaging Active Optics Sensing • Live sensing from starlight • Live sensing from a calibration source • Pre-generated look-up table of distortion vs. ppgg,pointing angle, temperature etc • CitiCritica lfl for segmen te d m irror te lescopes Durham Smart Imaging Active Optics Image credit: Robert Wagner / MAGIC / http://wwwmagic.mppmu.mpg.de/ Durham Smart Imaging Active Opt ics Adappptive Optics Durham Smart Imaging Adaptive Optics An AO system measures dynamic turbulence with a wavefront sensor and corrects it with a deformable mirror or spatial light modltdulator Durham Smart Imaging Applications of AO • Astronomy – AO is fully integral to current VLTs and future ELTs • Ophthalmology – Retinal imaging, measuring distortions • High power lasers – Intra-cavity wavefront shaping. e.g. Vulcan fusion laser (ICF) • Optical drive pickups • Microscopy • Free space optical communication • Military Durham Smart Imaging Wavefront sensors • There are many types of wavefront sensors • Shack Hartmann, Curvature, Pyramid, Point Diffraction Interferometer, Lateral Shearing -
Subaru Super Deep Field (SSDF) with AO
Subaru Super Deep Field (SSDF) using Adaptive Optics Yosuke Minowa (NAOJ) on behalf of Yoshii, Y. (IoA, Univ. of Tokyo; PI) and SSDF team: Kobayashi, N. (IoA, Univ. of Tokyo), Totani, T. (Kyoto Univ.), Takami, H., Takato, N. Hayano, Y., Iye, M. (NAOJ). Subaru UM (1/30/2007) SSDF project: What? { Scientific motivation 1. Study the galaxy population at the unprecedented faint end (K’=23-25mag) to find any new population which may explain the missing counterpart to the extragalactic background light. 2. Study the morphological evolution of field galaxies in rest-frame optical wavelengths to find the origin of Hubble sequence. Æ high-resolution deep imaging of distant galaxies SSDF project: How? { Deep imaging of high-z galaxies with AO. z Improve detection sensitivity. Peak intensity: with AO ~ 10-20 times higher 0”.07 without AO z Improve spatial 0”.4 resolution FWHM < 0”.1 AO is best suited for the deep imaging study of high-z galaxies which requires both high-sensitivity and high-resolution. z SSDF project: Where? { Target field: a part of “Subaru Deep Field” (SDF) z Originally selected to locate near a bright star for AO observations (Maihara+01). z Optical~NIR deep imaging data are publicly available. { Enable the SED fitting of detected galaxies. Æ phot-z, rest-frame color, (Maihara+01) stellar mass… Observations { AO36+IRCS at Cassegrain z K’-band (2.12um) imaging with 58mas mode z providing 1x1 arcmin2 FOV AO36 IRCS To achieve unprecedented faint-end, we concentrated on K’-band imaging of this 1arcmin2 field, rather than wide-field or multi-color imaging. -
Wavefront Coding Fluorescence Microscopy Using High Aperture Lenses
Wavefront Coding Fluorescence Microscopy Using High Aperture Lenses Matthew R. Arnison*, Carol J. Cogswelly, Colin J. R. Sheppard*, Peter Törökz * University of Sydney, Australia University of Colorado, U. S. A. y Imperial College, U. K. z 1 Extended Depth of Field Microscopy In recent years live cell fluorescence microscopy has become increasingly important in biological and medical studies. This is largely due to new genetic engineering techniques which allow cell features to grow their own fluorescent markers. A pop- ular example is green fluorescent protein. This avoids the need to stain, and thereby kill, a cell specimen before taking fluorescence images, and thus provides a major new method for observing live cell dynamics. With this new opportunity come new challenges. Because in earlier days the process of staining killed the cells, microscopists could do little additional harm by squashing the preparation to make it flat, thereby making it easier to image with a high resolution, shallow depth of field lens. In modern live cell fluorescence imag- ing, the specimen may be quite thick (in optical terms). Yet a single 2D image per time–step may still be sufficient for many studies, as long as there is a large depth of field as well as high resolution. Light is a scarce resource for live cell fluorescence microscopy. To image rapidly changing specimens the microscopist needs to capture images quickly. One of the chief constraints on imaging speed is the light intensity. Increasing the illumination will result in faster acquisition, but can affect specimen behaviour through heating, or reduce fluorescent intensity through photobleaching. -
Topic 3: Operation of Simple Lens
V N I E R U S E I T H Y Modern Optics T O H F G E R D I N B U Topic 3: Operation of Simple Lens Aim: Covers imaging of simple lens using Fresnel Diffraction, resolu- tion limits and basics of aberrations theory. Contents: 1. Phase and Pupil Functions of a lens 2. Image of Axial Point 3. Example of Round Lens 4. Diffraction limit of lens 5. Defocus 6. The Strehl Limit 7. Other Aberrations PTIC D O S G IE R L O P U P P A D E S C P I A S Properties of a Lens -1- Autumn Term R Y TM H ENT of P V N I E R U S E I T H Y Modern Optics T O H F G E R D I N B U Ray Model Simple Ray Optics gives f Image Object u v Imaging properties of 1 1 1 + = u v f The focal length is given by 1 1 1 = (n − 1) + f R1 R2 For Infinite object Phase Shift Ray Optics gives Delta Fn f Lens introduces a path length difference, or PHASE SHIFT. PTIC D O S G IE R L O P U P P A D E S C P I A S Properties of a Lens -2- Autumn Term R Y TM H ENT of P V N I E R U S E I T H Y Modern Optics T O H F G E R D I N B U Phase Function of a Lens δ1 δ2 h R2 R1 n P0 P ∆ 1 With NO lens, Phase Shift between , P0 ! P1 is 2p F = kD where k = l with lens in place, at distance h from optical, F = k0d1 + d2 +n(D − d1 − d2)1 Air Glass @ A which can be arranged to|giv{ze } | {z } F = knD − k(n − 1)(d1 + d2) where d1 and d2 depend on h, the ray height. -
Design and Manufacture of Mirrors, and Active Optics Buddy Martin
Design and manufacture of mirrors, and active optics Buddy Martin Steward Observatory Mirror Lab 1 Outline • What makes a good mirror? • Modern mirror concepts – thin solid mirrors – segmented mirrors – lightweight mirrors • Honeycomb mirrors – design – casting • Optical manufacture – requirements – aside on active optics and model fitting – fabrication • machining • polishing – measurement • interferometry • null correctors • GMT measurements 2 What makes a good mirror? (mechanical) • Fundamental requirement is to deliver a good wavefront to focal plane in almost all conditions. – Hold its shape to a fraction of a wavelength on large scales – Be smooth to a small fraction of a wavelength on small scales – Contribute little to local seeing (temperature gradients in air) • Stiffness against wind: bending stiffness ∝ Et3 – E = Young’s modulus, t = thickness • Stiffness against gravity: bending stiffness ∝ Et 2 / ρ – This puts a premium on low mass. cross-section of an 8.4 m honeycomb mirror for the Giant Magellan Telescope 3 What makes a good mirror? (thermal) • Thermal distortion: displacement = α ΔT t for “swelling” curvature = α ΔT / t for bending – α = thermal expansion coefficient, ΔT = temperature variation within mirror • “Mirror seeing” ∝ T − T a ir ≈ dTair dt ⋅τ – dTair/dt = rate of change of air temperature 2 – τ = mirror’s thermal time constant ∝ cρt / k • c = specific heat, k = thermal conductivity, t = thickness – Becomes a problem for T - Tair > ~0.3 K, τ > ~1 hr – For glass or glass-ceramics, want t < 5 cm • Bottom line: Mirror should be stiff & light, have low thermal expansion & short thermal time constant. 4 Optical telescopes 12 LBT 10 Keck VLT (4), Gemini (2), Subaru 8 MMT, Magellan (2) 6 Palomar 200 inch diameter (m) diameter 4 Mt. -
Modern Astronomical Optics 1
Modern Astronomical Optics 1. Fundamental of Astronomical Imaging Systems OUTLINE: A few key fundamental concepts used in this course: Light detection: Photon noise Diffraction: Diffraction by an aperture, diffraction limit Spatial sampling Earth's atmosphere: every ground-based telescope's first optical element Effects for imaging (transmission, emission, distortion and scattering) and quick overview of impact on optical design of telescopes and instruments Geometrical optics: Pupil and focal plane, Lagrange invariant Astronomical measurements & important characteristics of astronomical imaging systems: Collecting area and throughput (sensitivity) flux units in astronomy Angular resolution Field of View (FOV) Time domain astronomy Spectral resolution Polarimetric measurement Astrometry Light detection: Photon noise Poisson noise Photon detection of a source of constant flux F. Mean # of photon in a unit dt = F dt. Probability to detect a photon in a unit of time is independent of when last photon was detected→ photon arrival times follows Poisson distribution Probability of detecting n photon given expected number of detection x (= F dt): f(n,x) = xne-x/(n!) x = mean value of f = variance of f Signal to noise ration (SNR) and measurement uncertainties SNR is a measure of how good a detection is, and can be converted into probability of detection, degree of confidence Signal = # of photon detected Noise (std deviation) = Poisson noise + additional instrumental noises (+ noise(s) due to unknown nature of object observed) Simplest case (often -
Adaptive Optics: an Introduction Claire E
1 Adaptive Optics: An Introduction Claire E. Max I. BRIEF OVERVIEW OF ADAPTIVE OPTICS Adaptive optics is a technology that removes aberrations from optical systems, through use of one or more deformable mirrors which change their shape to compensate for the aberrations. In the case of adaptive optics (hereafter AO) for ground-based telescopes, the main application is to remove image blurring due to turbulence in the Earth's atmosphere, so that telescopes on the ground can "see" as clearly as if they were in space. Of course space telescopes have the great advantage that they can obtain images and spectra at wavelengths that are not transmitted by the atmosphere. This has been exploited to great effect in ultra-violet bands, at near-infrared wavelengths that are not in the atmospheric "windows" at J, H, and K bands, and for the mid- and far-infrared. However since it is much more difficult and expensive to launch the largest telescopes into space instead of building them on the ground, a very fruitful synergy has emerged in which images and low-resolution spectra obtained with space telescopes such as HST are followed up by adaptive- optics-equipped ground-based telescopes with larger collecting area. Astronomy is by no means the only application for adaptive optics. Beginning in the late 1990's, AO has been applied with great success to imaging the living human retina (Porter 2006). Many of the most powerful lasers are using AO to correct for thermal distortions in their optics. Recently AO has been applied to biological microscopy and deep-tissue imaging (Kubby 2012).