Adaptive Optics: an Introduction Claire E
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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). -
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. -
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 -
Huygens Principle; Young Interferometer; Fresnel Diffraction
Today • Interference – inadequacy of a single intensity measurement to determine the optical field – Michelson interferometer • measuring – distance – index of refraction – Mach-Zehnder interferometer • measuring – wavefront MIT 2.71/2.710 03/30/09 wk8-a- 1 A reminder: phase delay in wave propagation z t t z = 2.875λ phasor due In general, to propagation (path delay) real representation phasor representation MIT 2.71/2.710 03/30/09 wk8-a- 2 Phase delay from a plane wave propagating at angle θ towards a vertical screen path delay increases linearly with x x λ vertical screen (plane of observation) θ z z=fixed (not to scale) Phasor representation: may also be written as: MIT 2.71/2.710 03/30/09 wk8-a- 3 Phase delay from a spherical wave propagating from distance z0 towards a vertical screen x z=z0 path delay increases quadratically with x λ vertical screen (plane of observation) z z=fixed (not to scale) Phasor representation: may also be written as: MIT 2.71/2.710 03/30/09 wk8-a- 4 The significance of phase delays • The intensity of plane and spherical waves, observed on a screen, is very similar so they cannot be reliably discriminated – note that the 1/(x2+y2+z2) intensity variation in the case of the spherical wave is too weak in the paraxial case z>>|x|, |y| so in practice it cannot be measured reliably • In many other cases, the phase of the field carries important information, for example – the “history” of where the field has been through • distance traveled • materials in the path • generally, the “optical path length” is inscribed -
Shack–Hartmann Wavefront Sensor with Array of Phase Coded Masks
Shack–Hartmann wavefront sensor with array of phase coded masks NITIN DUBEY,* RAVI KUMAR, JOSEPH ROSEN School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer-Sheva 8410501, Israel *Corresponding author: [email protected] Shack-Hartmann wavefront sensors (SHWS) are generally used to measure the wavefront curvature of light beams. Measurement accuracy and the sensitivity of these sensors are important factors for better wavefront sensing. In this study, we demonstrate a new type of SHWS with better measurement accuracy than the regular SHWS. The lenslet array in the regular SHWS is replaced with an array of coded phase masks and the principle of coded aperture correlation holography (COACH) is used for wavefront reconstruction. Sharper correlation peaks achieved by COACH improve the accuracy of the estimated local slopes of the measured wavefront and consequently improve the reconstruction accuracy of the overall wavefront. Experimental results confirm that the proposed method provides a lower mean square wavefront error by one order of magnitude in comparison to the regular SHWS. Shack-Hartmann wavefront sensor (SHWS) was developed for pattern created by illuminating a single CPM with a plane wave. The optical metrology purposes [1] and later has been used in various intensity response in each cell of the array is shifted according to the other fields, such as adaptive optics [2], microscopy [3], retinal average slope of the wavefront in each corresponding cell. Composing imaging [4], and high-power laser systems [5]. Usually, in SHWS a the entire slopes yields a three-dimensional curvature used as an microlens array is used to measure the wavefront local gradients. -
A Review of Astronomical Science with Visible Light Adaptive Optics
A review of astronomical science with visible light adaptive optics Item Type Article Authors Close, Laird M. Citation Laird M. Close " A review of astronomical science with visible light adaptive optics ", Proc. SPIE 9909, Adaptive Optics Systems V, 99091E (July 26, 2016); doi:10.1117/12.2234024; http:// dx.doi.org/10.1117/12.2234024 DOI 10.1117/12.2234024 Publisher SPIE-INT SOC OPTICAL ENGINEERING Journal ADAPTIVE OPTICS SYSTEMS V Rights © 2016 SPIE. Download date 30/09/2021 19:37:34 Item License http://rightsstatements.org/vocab/InC/1.0/ Version Final published version Link to Item http://hdl.handle.net/10150/622010 Invited Paper A Review of Astronomical Science with Visible Light Adaptive Optics Laird M. Close1a, aCAAO, Steward Observatory, University of Arizona, Tucson AZ 85721, USA; ABSTRACT We review astronomical results in the visible (λ<1μm) with adaptive optics. Other than a brief period in the early 1990s, there has been little (<1 paper/yr) night-time astronomical science published with AO in the visible from 2000-2013 (outside of the solar or Space Surveillance Astronomy communities where visible AO is the norm, but not the topic of this invited review). However, since mid-2013 there has been a rapid increase visible AO with over 50 refereed science papers published in just ~2.5 years (visible AO is experiencing a rapid growth rate very similar to that of NIR AO science from 1997-2000; Close 2000). Currently the most productive small (D < 2 m) visible light AO telescope is the UV-LGS Robo-AO system (Baranec, et al. -
From Scattering to Wavefronts: What’S in Between? Michael Mrochen, Phd
From Scattering to Wavefronts: What’s in between? Michael Mrochen, PhD Swiss Federal Institute of Technology Institute of Biomedical Engineering IROC Institute for Refractive and Oculoplastic Surgery Zürich Switzerland Foreword • This is a report on a work in progress ! • Geometric-optical methods are used to develop an analytical theory for surface scattering on rough surface sturctures (irregular structures). • Parts of this work are published in: – SPIE Proceedings Ophthalmic Technologies (1998,1999) – Laser Physics 12: 1239-1256 (2002) – Laser Physics 12: 1333-1348 (2002) Clinical observation: Hartmann -Shack and Tscherning wavefront measurements demonstrate an increased background noise when the tearfilm breaks up. Clinical observation: Hartmann -Shack and Tscherning wavefront measurements demonstrate an increased background noise before and after LASIK After LASIK Before LASIK Clinical observation: Some eyes have irregular surface structures that are not reasonably described in terms of modes (Zernike, Taylor, ...) Striae Cornea after complicated LASIK BSCVA: 20/50 decentered measurement Centered measurement Problem ! Clinical observations indicate that there are other sources of optical errors that are not detected or described or measured by the currently used wavefront sensors. -> Visual symptoms do not correlate well with wavefront data in such complicated cases Question ?! What are the optical effects of such irregular structures ? Irregular structures = surface roughness Optical effects of that might detoriate the image quality