Basic Wavefront Aberration Theory for Optical Metrology
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Diffraction Interference Induced Superfocusing in Nonlinear Talbot Effect24,25, to Achieve Subdiffraction by Exploiting the Phases of The
OPEN Diffraction Interference Induced SUBJECT AREAS: Superfocusing in Nonlinear Talbot Effect NONLINEAR OPTICS Dongmei Liu1, Yong Zhang1, Jianming Wen2, Zhenhua Chen1, Dunzhao Wei1, Xiaopeng Hu1, Gang Zhao1, SUB-WAVELENGTH OPTICS S. N. Zhu1 & Min Xiao1,3 Received 1National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, School of Physics, Nanjing 12 May 2014 University, Nanjing 210093, China, 2Department of Applied Physics, Yale University, New Haven, Connecticut 06511, USA, 3Department of Physics, University of Arkansas, Fayetteville, Arkansas 72701, USA. Accepted 24 July 2014 We report a simple, novel subdiffraction method, i.e. diffraction interference induced superfocusing in Published second-harmonic (SH) Talbot effect, to achieve focusing size of less than lSH/4 (or lpump/8) without 20 August 2014 involving evanescent waves or subwavelength apertures. By tailoring point spread functions with Fresnel diffraction interference, we observe periodic SH subdiffracted spots over a hundred of micrometers away from the sample. Our demonstration is the first experimental realization of the Toraldo di Francia’s proposal pioneered 62 years ago for superresolution imaging. Correspondence and requests for materials should be addressed to ocusing of a light beam into an extremely small spot with a high energy density plays an important role in key technologies for miniaturized structures, such as lithography, optical data storage, laser material nanopro- Y.Z. (zhangyong@nju. cessing and nanophotonics in confocal microscopy and superresolution imaging. Because of the wave edu.cn); J.W. F 1 nature of light, however, Abbe discovered at the end of 19th century that diffraction prohibits the visualization (jianming.wen@yale. of features smaller than half of the wavelength of light (also known as the Rayleigh diffraction limit) with optical edu) or M.X. -
University Microfilms International 300 N
WAVEFRONT ERRORS PRODUCED BY MULTILAYER THIN-FILM OPTICAL COATINGS Item Type text; Dissertation-Reproduction (electronic) Authors Knowlden, Robert Edward Publisher The University of Arizona. Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Download date 05/10/2021 11:15:02 Link to Item http://hdl.handle.net/10150/281959 INFORMATION TO USERS This was produced from a copy of a document sent to us for microfilming. While the most advanced technological means to photograph and reproduce this document have been used, the quality--is-heavily dependent upon the quality of the material submitted. The following explanation of techniques is provided to help you understand markings or notations which may appear on this reproduction. 1. The sign or "target" for pages apparently lacking from the document photographed is "Missing Page(s)". If it was possible to obtain the missing page(s) or section, they are spliced into the film along with adjacent pages. This may have necessitated cutting through an image and duplicating adjacent pages to assure you of complete continuity. 2. When an image on the film is obliterated with a round black mark it is an indication that the film inspector noticed either blurred copy because of movement during exposure, or duplicate copy. Unless we meant to delete copyrighted materials that should not have been filmed, you will find a good image of the page in the adjacent frame. -
Introduction to Optics Part I
Introduction to Optics part I Overview Lecture Space Systems Engineering presented by: Prof. David Miller prepared by: Olivier de Weck Revised and augmented by: Soon-Jo Chung Chart: 1 16.684 Space Systems Product Development MIT Space Systems Laboratory February 13, 2001 Outline Goal: Give necessary optics background to tackle a space mission, which includes an optical payload •Light •Interaction of Light w/ environment •Optical design fundamentals •Optical performance considerations •Telescope types and CCD design •Interferometer types •Sparse aperture array •Beam combining and Control Chart: 2 16.684 Space Systems Product Development MIT Space Systems Laboratory February 13, 2001 Examples - Motivation Spaceborne Astronomy Planetary nebulae NGC 6543 September 18, 1994 Hubble Space Telescope Chart: 3 16.684 Space Systems Product Development MIT Space Systems Laboratory February 13, 2001 Properties of Light Wave Nature Duality Particle Nature HP w2 E 2 E 0 Energy of Detector c2 wt 2 a photon Q=hQ Solution: Photons are EAeikr( ZtI ) “packets of energy” E: Electric field vector c H: Magnetic field vector Poynting Vector: S E u H 4S 2S Spectral Bands (wavelength O): Wavelength: O Q QT Ultraviolet (UV) 300 Å -300 nm Z Visible Light 400 nm - 700 nm 2S Near IR (NIR) 700 nm - 2.5 Pm Wave Number: k O Chart: 4 16.684 Space Systems Product Development MIT Space Systems Laboratory February 13, 2001 Reflection-Mirrors Mirrors (Reflective Devices) and Lenses (Refractive Devices) are both “Apertures” and are similar to each other. Law of reflection: Mirror Geometry given as Ti Ti=To a conic section rot surface: T 1 2 2 o z()U r r k 1 U Reflected wave is also k 1 in the plane of incidence Specular Circle: k=0 Ellipse -1<k<0 Reflection Parabola: k=-1 Hyperbola: k<-1 sun mirror Detectors resolve Images produced by (solar) energy reflected from detector a target scene* in Visual and NIR. -
Chapter 3 (Aberrations)
Chapter 3 Aberrations 3.1 Introduction In Chap. 2 we discussed the image-forming characteristics of optical systems, but we limited our consideration to an infinitesimal thread- like region about the optical axis called the paraxial region. In this chapter we will consider, in general terms, the behavior of lenses with finite apertures and fields of view. It has been pointed out that well- corrected optical systems behave nearly according to the rules of paraxial imagery given in Chap. 2. This is another way of stating that a lens without aberrations forms an image of the size and in the loca- tion given by the equations for the paraxial or first-order region. We shall measure the aberrations by the amount by which rays miss the paraxial image point. It can be seen that aberrations may be determined by calculating the location of the paraxial image of an object point and then tracing a large number of rays (by the exact trigonometrical ray-tracing equa- tions of Chap. 10) to determine the amounts by which the rays depart from the paraxial image point. Stated this baldly, the mathematical determination of the aberrations of a lens which covered any reason- able field at a real aperture would seem a formidable task, involving an almost infinite amount of labor. However, by classifying the various types of image faults and by understanding the behavior of each type, the work of determining the aberrations of a lens system can be sim- plified greatly, since only a few rays need be traced to evaluate each aberration; thus the problem assumes more manageable proportions. -
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. -
Sub-Airy Disk Angular Resolution with High Dynamic Range in the Near-Infrared A
EPJ Web of Conferences 16, 03002 (2011) DOI: 10.1051/epjconf/20111603002 C Owned by the authors, published by EDP Sciences, 2011 Sub-Airy disk angular resolution with high dynamic range in the near-infrared A. Richichi European Southern Observatory,Karl-Schwarzschildstr. 2, 85748 Garching, Germany Abstract. Lunar occultations (LO) are a simple and effective high angular resolution method, with minimum requirements in instrumentation and telescope time. They rely on the analysis of the diffraction fringes created by the lunar limb. The diffraction phenomen occurs in space, and as a result LO are highly insensitive to most of the degrading effects that limit the performance of traditional single telescope and long-baseline interferometric techniques used for direct detection of faint, close companions to bright stars. We present very recent results obtained with the technique of lunar occultations in the near-IR, showing the detection of companions with very high dynamic range as close as few milliarcseconds to the primary star. We discuss the potential improvements that could be made, to increase further the current performance. Of course, LO are fixed-time events applicable only to sources which happen to lie on the Moon’s apparent orbit. However, with the continuously increasing numbers of potential exoplanets and brown dwarfs beign discovered, the frequency of such events is not negligible. I will list some of the most favorable potential LO in the near future, to be observed from major observatories. 1. THE METHOD The geometry of a lunar occultation (LO) event is sketched in Figure 1. The lunar limb acts as a straight diffracting edge, moving across the source with an angular speed that is the product of the lunar motion vector VM and the cosine of the contact angle CA. -
The Most Important Equation in Astronomy! 50
The Most Important Equation in Astronomy! 50 There are many equations that astronomers use L to describe the physical world, but none is more R 1.22 important and fundamental to the research that we = conduct than the one to the left! You cannot design a D telescope, or a satellite sensor, without paying attention to the relationship that it describes. In optics, the best focused spot of light that a perfect lens with a circular aperture can make, limited by the diffraction of light. The diffraction pattern has a bright region in the center called the Airy Disk. The diameter of the Airy Disk is related to the wavelength of the illuminating light, L, and the size of the circular aperture (mirror, lens), given by D. When L and D are expressed in the same units (e.g. centimeters, meters), R will be in units of angular measure called radians ( 1 radian = 57.3 degrees). You cannot see details with your eye, with a camera, or with a telescope, that are smaller than the Airy Disk size for your particular optical system. The formula also says that larger telescopes (making D bigger) allow you to see much finer details. For example, compare the top image of the Apollo-15 landing area taken by the Japanese Kaguya Satellite (10 meters/pixel at 100 km orbit elevation: aperture = about 15cm ) with the lower image taken by the LRO satellite (0.5 meters/pixel at a 50km orbit elevation: aperture = ). The Apollo-15 Lunar Module (LM) can be seen by its 'horizontal shadow' near the center of the image. -
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. -
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.