Basic Wavefront Aberration Theory for Optical Metrology
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Quaternion Zernike Spherical Polynomials
MATHEMATICS OF COMPUTATION Volume 84, Number 293, May 2015, Pages 1317–1337 S 0025-5718(2014)02888-3 Article electronically published on August 29, 2014 QUATERNION ZERNIKE SPHERICAL POLYNOMIALS J. MORAIS AND I. CAC¸ AO˜ Abstract. Over the past few years considerable attention has been given to the role played by the Zernike polynomials (ZPs) in many different fields of geometrical optics, optical engineering, and astronomy. The ZPs and their applications to corneal surface modeling played a key role in this develop- ment. These polynomials are a complete set of orthogonal functions over the unit circle and are commonly used to describe balanced aberrations. In the present paper we introduce the Zernike spherical polynomials within quater- nionic analysis ((R)QZSPs), which refine and extend the Zernike moments (defined through their polynomial counterparts). In particular, the underlying functions are of three real variables and take on either values in the reduced and full quaternions (identified, respectively, with R3 and R4). (R)QZSPs are orthonormal in the unit ball. The representation of these functions in terms of spherical monogenics over the unit sphere are explicitly given, from which several recurrence formulae for fast computer implementations can be derived. A summary of their fundamental properties and a further second or- der homogeneous differential equation are also discussed. As an application, we provide the reader with plot simulations that demonstrate the effectiveness of our approach. (R)QZSPs are new in literature and have some consequences that are now under investigation. 1. Introduction 1.1. The Zernike spherical polynomials. The complex Zernike polynomials (ZPs) have long been successfully used in many different fields of optics. -
Wavefront Sensing for Adaptive Optics MARCOS VAN DAM & RICHARD CLARE W.M
Wavefront sensing for adaptive optics MARCOS VAN DAM & RICHARD CLARE W.M. Keck Observatory Acknowledgments Wilson Mizner : "If you steal from one author it's plagiarism; if you steal from many it's research." Thanks to: Richard Lane, Lisa Poyneer, Gary Chanan, Jerry Nelson Outline Wavefront sensing Shack-Hartmann Pyramid Curvature Phase retrieval Gerchberg-Saxton algorithm Phase diversity Properties of a wave-front sensor Localization: the measurements should relate to a region of the aperture. Linearization: want a linear relationship between the wave-front and the intensity measurements. Broadband: the sensor should operate over a wide range of wavelengths. => Geometric Optics regime BUT: Very suboptimal (see talk by GUYON on Friday) Effect of the wave-front slope A slope in the wave-front causes an incoming photon to be displaced by x = zWx There is a linear relationship between the mean slope of the wavefront and the displacement of an image Wavelength-independent W(x) z x Shack-Hartmann The aperture is subdivided using a lenslet array. Spots are formed underneath each lenslet. The displacement of the spot is proportional to the wave-front slope. Shack-Hartmann spots 45-degree astigmatism Typical vision science WFS Lenslets CCD Many pixels per subaperture Typical Astronomy WFS Former Keck AO WFS sensor 21 pixels 2 mm 3x3 pixels/subap 200 μ lenslets CCD relay lens 3.15 reduction Centroiding The performance of the Shack-Hartmann sensor depends on how well the displacement of the spot is estimated. The displacement is usually estimated using the centroid (center-of-mass) estimator. x I(x, y) y I(x, y) s = sy = x I(x, y) I(x, y) This is the optimal estimator for the case where the spot is Gaussian distributed and the noise is Poisson. -
Wavefront Control Simulations for the Giant Magellan Telescope: Field-Dependent Segment Piston Control
Wavefront control simulations for the Giant Magellan Telescope: Field-dependent segment piston control Fernando Quir´os-Pachecoa, Rodolphe Conana, Brian McLeodb, Benjamin Irarrazavala, and Antonin Boucheza aGMTO Organization, 465 North Halstead St, Suite 250, Pasadena, CA 91107, USA bSmithsonian Astrophysical Observatory, 60 Garden St, MS 20, Cambridge, MA 02138, USA ABSTRACT We present in this paper preliminary simulation results aimed at validating the GMT piston control strategy. We will in particular consider an observing mode in which an Adaptive Optics (AO) system is providing fast on-axis WF correction with the Adaptive Secondary Mirror (ASM), while the phasing system using multiple Segment Piston Sensors (SPS) makes sure that the seven GMT segments remain phased. Simulations have been performed with the Dynamic Optical Simulation (DOS) tool developed at the GMT Project Office, which integrates the optical and mechanical models of GMT. DOS fast ray-tracing capabilities allows us to properly simulate the effect of field-dependent aberrations, and in particular, the so-called Field Dependent Segment Piston (FDSP) mode arising when a segment tilt on M1 is compensated on-axis by a segment tilt on M2. We will show that when using an asterism of SPS, our scheme can properly control both segment piston and the FDSP mode. Keywords: Giant Magellan Telescope, phasing, wavefront control, numerical simulations 1. INTRODUCTION The Giant Magellan Telescope (GMT)1 is a 25.4m diameter aplanatic Gregorian telescope that will be located at the Las Campanas Observatory (LCO), in Chile. The GMT is a segmented telescope, with a primary mirror (M1) composed of seven circular 8.4m segments. -
Lab #5 Shack-Hartmann Wavefront Sensor
EELE 482 Lab #5 Lab #5 Shack-Hartmann Wavefront Sensor (1 week) Contents: 1. Summary of Measurements 2 2. New Equipment and Background Information 2 3. Beam Characterization of the HeNe Laser 4 4. Maximum wavefront tilt 4 5. Spatially Filtered Beam 4 6. References 4 Shack-Hartmann Page 1 last edited 10/5/18 EELE 482 Lab #5 1. Summary of Measurements HeNe Laser Beam Characterization 1. Use the WFS to measure both beam radius w and wavefront radius R at several locations along the beam from the HeNe laser. Is the beam well described by the simple Gaussian beam model we have assumed? How do the WFS measurements compare to the chopper measurements made previously? Characterization of WFS maximum sensible wavefront gradient 2. Tilt the wavefront sensor with respect to the HeNe beam while monitoring the measured wavefront tilt. Determine the angle beyond which which the data is no longer valid. Investigation of wavefront quality after spatial filtering and collimation with various lenses 3. Use a single-mode fiber as a spatial filter. Characterize the beam emerging from the fiber for wavefront quality, and then measure the wavefront after collimation using a PCX lens and a doublet. Quantify the aberrations of these lenses. 2. New Equipment and Background Information 1. Shack-Hartmann Wavefront Sensor (WFS) The WFS uses an array of microlenses in front of a CMOS camera, with the camera sensor located at the back focal plane of the microlenses. Locally, the input beam will look like a portion of a plane wave across the small aperture of the microlens, and the beam will come to a focus on the camera with the center position of the focused spot determined by the local tilt of the wavefront. -
Wavefront Parameters Recovering by Using Point Spread Function
Wavefront Parameters Recovering by Using Point Spread Function Olga Kalinkina[0000-0002-2522-8496], Tatyana Ivanova[0000-0001-8564-243X] and Julia Kushtyseva[0000-0003-1101-6641] ITMO University, 197101 Kronverksky pr. 49, bldg. A, Saint-Petersburg, Russia [email protected], [email protected], [email protected] Abstract. At various stages of the life cycle of optical systems, one of the most important tasks is quality of optical system elements assembly and alignment control. The different wavefront reconstruction algorithms have already proven themselves to be excellent assistants in this. Every year increasing technical ca- pacities opens access to the new algorithms and the possibilities of their appli- cation. The paper considers an iterative algorithm for recovering the wavefront parameters. The parameters of the wavefront are the Zernike polynomials coef- ficients. The method involves using a previously known point spread function to recover Zernike polynomials coefficients. This work is devoted to the re- search of the defocusing influence on the convergence of the algorithm. The method is designed to control the manufacturing quality of optical systems by point image. A substantial part of the optical systems can use this method with- out additional equipment. It can help automate the controlled optical system ad- justment process. Keywords: Point Spread Function, Wavefront, Zernike Polynomials, Optimiza- tion, Aberrations. 1 Introduction At the stage of manufacturing optical systems, one of the most important tasks is quality of optical system elements assembly and alignment control. There are various methods for solving this problem, for example, interference methods. However, in some cases, one of which is the alignment of the telescope during its operation, other control methods are required [1, 2], for example control by point image (point spread function) or the image of another known object. -
Zernike Piston Statistics in Turbulent Multi-Aperture Optical Systems
Air Force Institute of Technology AFIT Scholar Theses and Dissertations Student Graduate Works 3-2020 Zernike Piston Statistics in Turbulent Multi-Aperture Optical Systems Joshua J. Garretson Follow this and additional works at: https://scholar.afit.edu/etd Part of the Optics Commons Recommended Citation Garretson, Joshua J., "Zernike Piston Statistics in Turbulent Multi-Aperture Optical Systems" (2020). Theses and Dissertations. 3161. https://scholar.afit.edu/etd/3161 This Thesis is brought to you for free and open access by the Student Graduate Works at AFIT Scholar. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of AFIT Scholar. For more information, please contact [email protected]. ZERNIKE PISTON STATISTICS IN TURBULENT MULTI-APERTURE OPTICAL SYSTEMS THESIS Joshua J. Garretson, Capt, USAF AFIT-ENG-MS-20-M-023 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY AIR FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. The views expressed in this document are those of the author and do not reflect the official policy or position of the United States Air Force, the United States Department of Defense or the United States Government. This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. AFIT-ENG-MS-20-M-023 ZERNIKE PISTON STATISTICS IN TURBULENT MULTI-APERTURE OPTICAL SYSTEMS THESIS Presented to the Faculty Department of Electrical and Computer Engineering Graduate School of Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command in Partial Fulfillment of the Requirements for the Degree of Master of Science in Electrical Engineering Joshua J. -
Wavefront Aberrations
11 Wavefront Aberrations Mirko Resan, Miroslav Vukosavljević and Milorad Milivojević Eye Clinic, Military Medical Academy, Belgrade, Serbia 1. Introduction The eye is an optical system having several optical elements that focus light rays representing images onto the retina. Imperfections in the components and materials in the eye may cause light rays to deviate from the desired path. These deviations, referred to as optical or wavefront aberrations, result in blurred images and decreased visual performance (1). Wavefront aberrations are optical imperfections of the eye that prevent light from focusing perfectly on the retina, resulting in defects in the visual image. There are two kinds of aberrations: 1. Lower order aberrations (0, 1st and 2nd order) 2. Higher order aberrations (3rd, 4th, … order) Lower order aberrations are another way to describe refractive errors: myopia, hyperopia and astigmatism, correctible with glasses, contact lenses or refractive surgery. Lower order aberrations is a term used in wavefront technology to describe second-order Zernike polynomials. Second-order Zernike terms represent the conventional aberrations defocus (myopia, hyperopia and astigmatism). Lower order aberrations make up about 85 per cent of all aberrations in the eye. Higher order aberrations are optical imperfections which cannot be corrected by any reliable means of present technology. All eyes have at least some degree of higher order aberrations. These aberrations are now more recognized because technology has been developed to diagnose them properly. Wavefront aberrometer is actually used to diagnose and measure higher order aberrations. Higher order aberrations is a term used to describe Zernike aberrations above second-order. Third-order Zernike terms are coma and trefoil. -
Lecture 2: Geometrical Optics
Lecture 2: Geometrical Optics Outline 1 Geometrical Approximation 2 Lenses 3 Mirrors 4 Optical Systems 5 Images and Pupils 6 Aberrations Christoph U. Keller, Leiden Observatory, [email protected] Lecture 2: Geometrical Optics 1 Ideal Optics ideal optics: spherical waves from any point in object space are imaged into points in image space corresponding points are called conjugate points focal point: center of converging or diverging spherical wavefront object space and image space are reversible Christoph U. Keller, Leiden Observatory, [email protected] Lecture 2: Geometrical Optics 2 Geometrical Optics rays are normal to locally flat wave (locations of constant phase) rays are reflected and refracted according to Fresnel equations phase is neglected ) incoherent sum rays can carry polarization information optical system is finite ) diffraction geometrical optics neglects diffraction effects: λ ) 0 physical optics λ > 0 simplicity of geometrical optics mostly outweighs limitations Christoph U. Keller, Leiden Observatory, [email protected] Lecture 2: Geometrical Optics 3 Lenses Surface Shape of Perfect Lens lens material has index of refraction n o z(r) · n + z(r) f = constant n · z(r) + pr 2 + (f − z(r))2 = constant solution z(r) is hyperbola with eccentricity e = n > 1 Christoph U. Keller, Leiden Observatory, [email protected] Lecture 2: Geometrical Optics 4 Paraxial Optics Assumptions: 1 assumption 1: Snell’s law for small angles of incidence (sin φ ≈ φ) 2 assumption 2: ray hight h small so that optics curvature can be neglected (plane optics, (cos φ ≈ 1)) 3 assumption 3: tanφ ≈ φ = h=f 4 decent until about 10 degrees Christoph U. -
Zernike Polynomials: a Guide
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/241585467 Zernike polynomials: A guide Article in Journal of Modern Optics · April 2011 DOI: 10.1080/09500340.2011.633763 CITATIONS READS 41 12,492 2 authors: Vasudevan Lakshminarayanan Andre Fleck University of Waterloo Grand River Hospital 399 PUBLICATIONS 1,806 CITATIONS 40 PUBLICATIONS 1,210 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Theoretical and bench color and optics work View project Quantum Relational Databases View project All content following this page was uploaded by Vasudevan Lakshminarayanan on 13 May 2014. The user has requested enhancement of the downloaded file. Journal of Modern Optics Vol. 58, No. 7, 10 April 2011, 545–561 TUTORIAL REVIEW Zernike polynomials: a guide Vasudevan Lakshminarayanana,b*y and Andre Flecka,c aSchool of Optometry, University of Waterloo, Waterloo, Ontario, Canada; bMichigan Center for Theoretical Physics, University of Michigan, Ann Arbor, MI, USA; cGrand River Hospital, Kitchener, Ontario, Canada (Received 5 October 2010; final version received 9 January 2011) In this paper we review a special set of orthonormal functions, namely Zernike polynomials which are widely used in representing the aberrations of optical systems. We give the recurrence relations, relationship to other special functions, as well as scaling and other properties of these important polynomials. Mathematica code for certain operations are given in the Appendix. Keywords: optical aberrations; Zernike polynomials; special functions; aberrometry 1. Introduction the Zernikes will not be orthogonal over a discrete set The Zernike polynomials are a sequence of polyno- of points within a unit circle [11]. -
New Separated Polynomial Solutions to the Zernike System on the Unit Disk and Interbasis Expansion
1844 Vol. 34, No. 10 / October 2017 / Journal of the Optical Society of America A Research Article New separated polynomial solutions to the Zernike system on the unit disk and interbasis expansion 1,2,3 4, 1 GEORGE S. POGOSYAN, KURT BERNARDO WOLF, * AND ALEXANDER YAKHNO 1Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico 2Yerevan State University, Yerevan, Armenia 3Joint Institute for Nuclear Research, Dubna, Russia 4Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México, Av. Universidad s/n, Cuernavaca, Morelos 62251, Mexico *Corresponding author: [email protected] Received 23 May 2017; revised 7 August 2017; accepted 22 August 2017; posted 23 August 2017 (Doc. ID 296673); published 19 September 2017 The differential equation proposed by Frits Zernike to obtain a basis of polynomial orthogonal solutions on the unit disk to classify wavefront aberrations in circular pupils is shown to have a set of new orthonormal solution bases involving Legendre and Gegenbauer polynomials in nonorthogonal coordinates, close to Cartesian ones. We find the overlaps between the original Zernike basis and a representative of the new set, which turn out to be Clebsch–Gordan coefficients. © 2017 Optical Society of America OCIS codes: (000.3860) Mathematical methods in physics; (050.1220) Apertures; (050.5080) Phase shift; (080.1010) Aberrations (global); (350.7420) Waves. https://doi.org/10.1364/JOSAA.34.001844 1. INTRODUCTION: THE ZERNIKE SYSTEM to explain the symmetry hidden in the equal spacing of n familiar from the oscillator model. In 1934, Frits Zernike published a paper that gave rise to phase- ’ contrast microscopy [1]. -
Zernike Polynomials Background
Zernike Polynomials • Fitting irregular and non-rotationally symmetric surfaces over a circular region. • Atmospheric Turbulence. • Corneal Topography • Interferometer measurements. • Ocular Aberrometry Background • The mathematical functions were originally described by Frits Zernike in 1934. • They were developed to describe the diffracted wavefront in phase contrast imaging. • Zernike won the 1953 Nobel Prize in Physics for developing Phase Contrast Microscopy. 1 Phase Contrast Microscopy Transparent specimens leave the amplitude of the illumination virtually unchanged, but introduces a change in phase. Applications • Typically used to fit a wavefront or surface sag over a circular aperture. • Astronomy - fitting the wavefront entering a telescope that has been distorted by atmospheric turbulence. • Diffraction Theory - fitting the wavefront in the exit pupil of a system and using Fourier transform properties to determine the Point Spread Function. Source: http://salzgeber.at/astro/moon/seeing.html 2 Applications • Ophthalmic Optics - fitting corneal topography and ocular wavefront data. • Optical Testing - fitting reflected and transmitted wavefront data measured interferometically. Surface Fitting • Reoccurring Theme: Fitting a complex, non-rotationally symmetric surfaces (phase fronts) over a circular domain. • Possible goals of fitting a surface: – Exact fit to measured data points? – Minimize “Error” between fit and data points? – Extract Features from the data? 3 1D Curve Fitting 25 20 15 10 5 0 -0.1 0.1 0.3 0.5 0.7 0.9 1.1 1.3 1.5 Low-order Polynomial Fit 25 y = 9.9146x + 2.3839 R2 = 0.9383 20 15 10 5 0 -0.1 0.1 0.3 0.5 0.7 0.9 1.1 1.3 1.5 In this case, the error is the vertical distance between the line and the data point. -
Utilization of a Curved Focal Surface Array in a 3.5M Wide Field of View Telescope
Utilization of a curved focal surface array in a 3.5m wide field of view telescope Lt. Col. Travis Blake Defense Advanced Research Projects Agency, Tactical Technology Office E. Pearce, J. A. Gregory, A. Smith, R. Lambour, R. Shah, D. Woods, W. Faccenda Massachusetts Institute of Technology, Lincoln Laboratory S. Sundbeck Schafer Corporation TMD M. Bolden CENTRA Technology, Inc. ABSTRACT Wide field of view optical telescopes have a range of uses for both astronomical and space-surveillance purposes. In designing these systems, a number of factors must be taken into account and design trades accomplished to best balance the performance and cost constraints of the system. One design trade that has been discussed over the past decade is the curving of the digital focal surface array to meet the field curvature versus using optical elements to flatten the field curvature for a more traditional focal plane array. For the Defense Advanced Research Projects Agency (DARPA) 3.5-m Space Surveillance Telescope (SST)), the choice was made to curve the array to best satisfy the stressing telescope performance parameters, along with programmatic challenges. The results of this design choice led to a system that meets all of the initial program goals and dramatically improves the nation’s space surveillance capabilities. This paper will discuss the implementation of the curved focal-surface array, the performance achieved by the array, and the cost level-of-effort difference between the curved array versus a typical flat one. 1. INTRODUCTION Curved-detector technology for applications in astronomy, remote sensing, and, more recently, medical imaging has been a component in the decision-making process for fielded systems and products in these and other various disciplines for many decades.