Daytime Sky Polarization Calibration Limitations
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Daytime Sky Polarization Calibration Limitations
Daytime sky polarization calibration limitations David M. Harrington Jeffrey R. Kuhn Arturo López Ariste David M. Harrington, Jeffrey R. Kuhn, Arturo López Ariste, “Daytime sky polarization calibration limitations,” J. Astron. Telesc. Instrum. Syst. 3(1), 018001 (2017), doi: 10.1117/1.JATIS.3.1.018001. Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Astronomical-Telescopes,-Instruments,-and-Systems on 08 May 2019 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use Journal of Astronomical Telescopes, Instruments, and Systems 3(1), 018001 (Jan–Mar 2017) Daytime sky polarization calibration limitations David M. Harrington,a,b,c,* Jeffrey R. Kuhn,d and Arturo López Aristee aNational Solar Observatory, 3665 Discovery Drive, Boulder, Colorado 80303, United States bKiepenheuer-Institut für Sonnenphysik, Schöneckstr. 6, D-79104 Freiburg, Germany cUniversity of Hawaii, Institute for Astronomy, 2680 Woodlawn Drive, Honolulu, Hawaii 96822, United States dUniversity of Hawaii, Institute for Astronomy Maui, 34 Ohia Ku Street, Pukalani, Hawaii 96768, United States eIRAP CNRS, UMR 5277, 14, Avenue E Belin, Toulouse, France Abstract. The daytime sky has recently been demonstrated as a useful calibration tool for deriving polarization cross-talk properties of large astronomical telescopes. The Daniel K. Inouye Solar Telescope and other large telescopes under construction can benefit from precise polarimetric calibration of large mirrors. Several atmos- pheric phenomena and instrumental errors potentially limit the technique’s accuracy. At the 3.67-m AEOS telescope on Haleakala, we performed a large observing campaign with the HiVIS spectropolarimeter to identify limitations and develop algorithms for extracting consistent calibrations. Effective sampling of the telescope optical configurations and filtering of data for several derived parameters provide robustness to the derived Mueller matrix calibrations. -
Chance, Luck and Statistics : the Science of Chance
University of Calgary PRISM: University of Calgary's Digital Repository Alberta Gambling Research Institute Alberta Gambling Research Institute 1963 Chance, luck and statistics : the science of chance Levinson, Horace C. Dover Publications, Inc. http://hdl.handle.net/1880/41334 book Downloaded from PRISM: https://prism.ucalgary.ca Chance, Luck and Statistics THE SCIENCE OF CHANCE (formerly titled: The Science of Chance) BY Horace C. Levinson, Ph. D. Dover Publications, Inc., New York Copyright @ 1939, 1950, 1963 by Horace C. Levinson All rights reserved under Pan American and International Copyright Conventions. Published in Canada by General Publishing Company, Ltd., 30 Lesmill Road, Don Mills, Toronto, Ontario. Published in the United Kingdom by Constable and Company, Ltd., 10 Orange Street, London, W.C. 2. This new Dover edition, first published in 1963. is a revised and enlarged version ot the work pub- lished by Rinehart & Company in 1950 under the former title: The Science of Chance. The first edi- tion of this work, published in 1939, was called Your Chance to Win. International Standard Rook Number: 0-486-21007-3 Libraiy of Congress Catalog Card Number: 63-3453 Manufactured in the United States of America Dover Publications, Inc. 180 Varick Street New York, N.Y. 10014 PREFACE TO DOVER EDITION THE present edition is essentially unchanged from that of 1950. There are only a few revisions that call for comment. On the other hand, the edition of 1950 contained far more extensive revisions of the first edition, which appeared in 1939 under the title Your Chance to Win. One major revision was required by the appearance in 1953 of a very important work, a life of Cardan,* a brief account of whom is given in Chapter 11. -
Polarization (Waves)
Polarization (waves) Polarization (also polarisation) is a property applying to transverse waves that specifies the geometrical orientation of the oscillations.[1][2][3][4][5] In a transverse wave, the direction of the oscillation is perpendicular to the direction of motion of the wave.[4] A simple example of a polarized transverse wave is vibrations traveling along a taut string (see image); for example, in a musical instrument like a guitar string. Depending on how the string is plucked, the vibrations can be in a vertical direction, horizontal direction, or at any angle perpendicular to the string. In contrast, in longitudinal waves, such as sound waves in a liquid or gas, the displacement of the particles in the oscillation is always in the direction of propagation, so these waves do not exhibit polarization. Transverse waves that exhibit polarization include electromagnetic [6] waves such as light and radio waves, gravitational waves, and transverse Circular polarization on rubber sound waves (shear waves) in solids. thread, converted to linear polarization An electromagnetic wave such as light consists of a coupled oscillating electric field and magnetic field which are always perpendicular; by convention, the "polarization" of electromagnetic waves refers to the direction of the electric field. In linear polarization, the fields oscillate in a single direction. In circular or elliptical polarization, the fields rotate at a constant rate in a plane as the wave travels. The rotation can have two possible directions; if the fields rotate in a right hand sense with respect to the direction of wave travel, it is called right circular polarization, while if the fields rotate in a left hand sense, it is called left circular polarization. -
How Complicated Can Structures Be? NAW 5/9 Nr
1 1 Jouko Väänänen How complicated can structures be? NAW 5/9 nr. 2 June 2008 117 Jouko Väänänen University of Amsterdam Plantage Muidergracht 24 1018 TV Amsterdam The Netherlands [email protected] How complicated can structures be? Is there a measure of how ’close’ non-isomorphic mathematical structures are? Jouko functions f : N → N endowed with the topolo- Väänänen, professor of logic at the Universities of Amsterdam and Helsinki, shows how con- gy of pointwise convergence, where N is given temporary logic, in particular set theory and model theory, provides a vehicle for a meaningful the discrete topology. discussion of this question. As the journey proceeds, we accelerate to higher and higher We can now consider the orbit of an arbi- cardinalities, so fasten your seatbelts. trary countable structure under all permuta- tions of N and ask how complex this set is By a structure we mean a set endowed with a eyes of the difficult uncountable structures. in the topological space N. If the orbit is a finite number of relations, functions and con- New ideas are needed here and a lot of work closed set in this topology, we should think of stants. Examples of structures are groups, lies ahead. Finally we tie the uncountable the structure as an uncomplicated one. This fields, ordered sets and graphs. Such struc- case to stability theory, a recent trend in mod- is because the orbit being closed means, in tures can have great complexity and indeed el theory. It turns out that stability theory and view of the definition of the topology, that the this is a good reason to concentrate on the the topological approach proposed here give finite parts of the structure completely deter- less complicated ones and to try to make similar suggestions as to what is complicated mine the whole structure, as is easily seen to some sense of them. -
AIROFORCE 2015: 4 3 1 0 $516,080 Trainer: MARK E
Owner: JOHN C. OXLEY 2016: 0 0 0 0 $0 AIROFORCE 2015: 4 3 1 0 $516,080 Trainer: MARK E. CASSE Life: 4 3 1 0 $516,080 Turf: 3 2 1 0 $402,000 Gr/ro .c.3 Colonel John - Chocolate Pop by Cuvee Course: 0 0 0 0 $0 Bred in Kentucky by STEWART M. MADISON (Feb 19, 2013) Off Dirt: 1 1 0 0 $114,080 28Nov15 CD11 sys 1B :47¼¶ 1:13^^ 1:45º¾ 2 Stk - KyJCG2 - 200k 109-101 3 8¹£ 7¹¡ 5¸ 3¡ 1¶£ Leparoux J R 122 bL 3.50 Airoforce122¶£ Mor Spirit122«¬ Mo Tom122¶¡ bid 3wd str, cleared13 30Oct15 Kee6 yl p 1m :48¸¸ 1:13¸¾ 1:38¾¼ 2 Stk - BCJTrfG1 - 1000k 103-106 8 5» 6»¡ 4»¡ 5»¢ 2¨µ Leparoux J R 122 L *2.70 Hit It a Bomb122¨µ Airoforce122¨µ Birchwood122¸¡ in close 7/8,game btw14 04Oct15 Kee8 yl p 1B :47¼½ 1:13º^ 1:44¶¸ 2 Stk - BourbonG3 - 250k 116-96 13 4¶¡ 3¶¡ 2¡ 1¡ 1¸¡ Leparoux J R 118 L *5.00 Airoforce118¸¡ Camelot Kitten118¡ Siding Spring118¸¢ took over 4w, cleared14 05Sep15 KD10 fm p 6f 1:10¹º 2 Msw 120000 9-86 5 3 4º 3¶¡ 1¶ 1¹¢ Leparoux J R 120 L 4.00 Airoforce120¹¢ Discreetly Firm120¹¡ Deep in a Dream120¶¢ 3wide, driving12 ** :48 ** :49.2 !" ( :48.3 !" ( :48.2 Copyright 2016 EQUIBASE Company LLC. All Rights Reserved. Format by InCompass Solutions, Inc. Owner: LITTLEFIELD, CHAD AND ROCKINGHAM 2016: 0 0 0 0 $0 ANNIE'S CANDY RANCH 2015: 6 1 3 1 $100,400 Life: 6 1 3 1 $100,400 Trainer: PETER MILLER Turf: 0 0 0 0 $0 Dk B/ .c.3 Twirling Candy - Wildcat Princess by Forest Wildcat Course: 0 0 0 0 $0 Bred in Kentucky by FIRSTCORP THOROUGHBREDS LLC (Mar 23, 2013) Off Dirt: 0 0 0 0 $0 20Sep15 Lrc8 ft 6K :22^½ :45¶º 1:15¹¶ 2 ½Stk - BrrttsJuvB -
Problem 9 - Optical Compass
Team Brazil – University of Campinas Problem 9 - Optical Compass Maria Carolina Volpato and Denise Christovam 1 Team Brazil – University of Campinas Problem Statement Bees locate themselves in space using their eyes’ sensitivity to light polarization. Design an inexpensive optical compass using polarization effects to obtain the best accuracy. How would the presence of clouds in the sky change this accuracy? 2 Team Brazil – University of Campinas Visualization of the phenomenon Problem 9- Optical Compass 3 Team Brazil – University of Campinas Light Scattering Incident Scattered Backward Forward scattering scattering Scattered Light Incoming Light 4 Problem 9- Optical Compass Particle Team Brazil – University of Campinas Light Scattering Rayleigh Scattering Mie Scattering Conditions to Rayleigh scattering are satisfied! Problem 9- Optical Compass 5 Team Brazil – University of Campinas Linear Polarization ➔ For the observer at PMP polarization plane collapses into a line ➔ 90o from the source of light Problem 9- Optical Compass 6 Team Brazil – University of Campinas Mapping the sky ➔ Rayleigh sky model describes how the maximally polarized light stripe varies with rotation Degree of polarization at sunset or sunrise. https://en.wikipedia.org/wiki/Rayleigh_sky_model Problem 9- Optical Compass 7 Team Brazil – University of Campinas Materials and design ➔ Polarizing sheets ➔ Guillotine Paper Cutting Machine ➔ Adhesive tape ~ R$ 30.00 ($6.00) ➔ Cardboard A4 (120 g/m²) o 12 petals – 30 72 petals – 5o 18 petals – 20o Problem 9- Optical Compass -
User Guide to 1:250,000 Scale Lunar Maps
CORE https://ntrs.nasa.gov/search.jsp?R=19750010068Metadata, citation 2020-03-22T22:26:24+00:00Z and similar papers at core.ac.uk Provided by NASA Technical Reports Server USER GUIDE TO 1:250,000 SCALE LUNAR MAPS (NASA-CF-136753) USE? GJIDE TO l:i>,, :LC h75- lu1+3 SCALE LUNAR YAPS (Lumoalcs Feseclrch Ltu., Ottewa (Ontario) .) 24 p KC 53.25 CSCL ,33 'JIACA~S G3/31 11111 DANNY C, KINSLER Lunar Science Instltute 3303 NASA Road $1 Houston, TX 77058 Telephone: 7131488-5200 Cable Address: LUtiSI USER GUIDE TO 1: 250,000 SCALE LUNAR MAPS GENERAL In 1972 the NASA Lunar Programs Office initiated the Apollo Photographic Data Analysis Program. The principal point of this program was a detailed scientific analysis of the orbital and surface experiments data derived from Apollo missions 15, 16, and 17. One of the requirements of this program was the production of detailed photo base maps at a useable scale. NASA in conjunction with the Defense Mapping Agency (DMA) commenced a mapping program in early 1973 that would lead to the production of the necessary maps based on the need for certain areas. This paper is designed to present in outline form the neces- sary background informatiox or users to become familiar with the program. MAP FORMAT * The scale chosen for the project was 1:250,000 . The re- search being done required a scale that Principal Investigators (PI'S) using orbital photography could use, but would also serve PI'S doing surface photographic investigations. Each map sheet covers an area four degrees north/south by five degrees east/west. -
How Well Does the Rayleigh Model Describe the E-Vector Distribution of Skylight in Clear and Cloudy Conditions? a Full-Sky Polarimetric Study
B. Suhai and G. Horva´th Vol. 21, No. 9/September 2004/J. Opt. Soc. Am. A 1669 How well does the Rayleigh model describe the E-vector distribution of skylight in clear and cloudy conditions? A full-sky polarimetric study Bence Suhai and Ga´bor Horva´th Biooptics Laboratory, Department of Biological Physics, Lora´ nd Eo¨ tvo¨ s University, H-1117 Budapest, Pa´ zma´ ny se´ta´ ny 1, Hungary Received December 18, 2003; revised manuscript received April 5, 2004; accepted April 28, 2004 We present the first high-resolution maps of Rayleigh behavior in clear and cloudy sky conditions measured by full-sky imaging polarimetry at the wavelengths of 650 nm (red), 550 nm (green), and 450 nm (blue) versus the ⌬␣ ϭ ͉␣ solar elevation angle s . Our maps display those celestial areas at which the deviation meas Ϫ ␣ ͉ ␣ ϭ ␣ Rayleigh is below the threshold thres 5°, where meas is the angle of polarization of skylight measured by ␣ full-sky imaging polarimetry, and Rayleigh is the celestial angle of polarization calculated on the basis of the single-scattering Rayleigh model. From these maps we derived the proportion r of the full sky for which the single-scattering Rayleigh model describes well (with an accuracy of ⌬␣ ϭ 5°) the E-vector alignment of sky- Ͻ Ͻ light. Depending on s , r is high for clear skies, especially for low solar elevations (40% r 70% for s р 13°). Depending on the cloud cover and the solar illumination, r decreases more or less under cloudy con- ϭ ditions, but sometimes its value remains remarkably high, especially at low solar elevations (rmax 69% for ϭ s 0°). -
L.A. Math: Romance, Crime, and Mathematics in the City of Angels
L. A Math: Romance, Crime and Mathematics in the City of Angels By James D. Stein Supplementary Mathematical Material for Website 1 Mathematical Accompaniments Chapter 1 – Symbolic Logic Chapter 2 – Percentages Chapter 3 – Averages and Rates Chapter 4 – Sequences and Arithmetic Progressions Chapter 5 – Algebra; The Language of Quantitative Relationships Chapter 6 – Mathematics of Finance Chapter 7 – Set Theory Chapter 8 – The Chinese Restaurant Principle; Combinatorics Chapter 9 – Probability and Expectation Chapter 10 – Conditional Probability and Bayes’ Theorem Chapter 11 – Statistics Chapter 12 – Game Theory Chapter 13 – Elections Chapter 14 – Traveling Efficiently – and Other Algorithms 2 Chapter 1 - Symbolic Logic Before you dive into this section, let me repeat something I said earlier – you don’t have to read this! I think a fair amount of learning takes place by erosion – if you’re simply exposed to something often enough, it will sink in. Maybe not deeply, but enough to give you the idea. Hang around with musicians, you get some idea of what goes into music – maybe not enough to make you a musician yourself, but you’ll be a lot more knowledgeable about it than if you spent no time on it at all. However, I hope that you’ll try reading some of these sections. They’re not deep, and if you get fed up, you can always go on to the next story. Sherlock Holmes was fond of telling Watson that, when you eliminate the impossible, whatever remains, no matter how improbable, must be the truth. It's certainly a simple, insightful, and elegantly phrased remark. -
Polarimetric Normal Recovery Under the Sky
Shape from Sky: Polarimetric Normal Recovery Under The Sky Tomoki Ichikaway∗ Matthew Purriz∗ Ryo Kawaharay Shohei Nobuharay Kristin Danaz Ko Nishinoy y Kyoto University z Rutgers University https://vision.ist.i.kyoto-u.ac.jp/ https://www.ece.rutgers.edu/˜kdana/ Polarimetic Images Angle of Degree of Surface Normal Shading Under the Sky Linear Polarization Linear Polarization Figure 1: We introduce a novel method for reconstructing fine geometry of non-Lambertian objects from passive observations under the sky. The method fully leverages the polarimetric properties of sky and sun light encoded in the reflection by the surface to recover the surface normal at each pixel. Abstract sion and in surrounding areas including robotics, extended reality (XR), and medicine. The challenge of this 2D to 3D The sky exhibits a unique spatial polarization pattern by inverse problem lies in the combination surface reflectance scattering the unpolarized sun light. Just like insects use and incident illumination that generates the complex ap- this unique angular pattern to navigate, we use it to map pearance of a given geometry. pixels to directions on the sky. That is, we show that the In this work, we are interested in recovering the fine ge- unique polarization pattern encoded in the polarimetric ap- ometry represented by per-pixel surface normals. Surface pearance of an object captured under the sky can be de- normal recovery can be interpreted as decoding the incident coded to reveal the surface normal at each pixel. We de- illumination from its reflectance-modulated pixel intensity. rive a polarimetric reflection model of a diffuse plus mir- If we know the spatial pattern of the illumination (e.g., three ror surface lit by the sun and a clear sky. -
Charted Lakes List
LAKE LIST United States and Canada Bull Shoals, Marion (AR), HD Powell, Coconino (AZ), HD Gull, Mono Baxter (AR), Taney (MO), Garfield (UT), Kane (UT), San H. V. Eastman, Madera Ozark (MO) Juan (UT) Harry L. Englebright, Yuba, Chanute, Sharp Saguaro, Maricopa HD Nevada Chicot, Chicot HD Soldier Annex, Coconino Havasu, Mohave (AZ), La Paz HD UNITED STATES Coronado, Saline St. Clair, Pinal (AZ), San Bernardino (CA) Cortez, Garland Sunrise, Apache Hell Hole Reservoir, Placer Cox Creek, Grant Theodore Roosevelt, Gila HD Henshaw, San Diego HD ALABAMA Crown, Izard Topock Marsh, Mohave Hensley, Madera Dardanelle, Pope HD Upper Mary, Coconino Huntington, Fresno De Gray, Clark HD Icehouse Reservior, El Dorado Bankhead, Tuscaloosa HD Indian Creek Reservoir, Barbour County, Barbour De Queen, Sevier CALIFORNIA Alpine Big Creek, Mobile HD DeSoto, Garland Diamond, Izard Indian Valley Reservoir, Lake Catoma, Cullman Isabella, Kern HD Cedar Creek, Franklin Erling, Lafayette Almaden Reservoir, Santa Jackson Meadows Reservoir, Clay County, Clay Fayetteville, Washington Clara Sierra, Nevada Demopolis, Marengo HD Gillham, Howard Almanor, Plumas HD Jenkinson, El Dorado Gantt, Covington HD Greers Ferry, Cleburne HD Amador, Amador HD Greeson, Pike HD Jennings, San Diego Guntersville, Marshall HD Antelope, Plumas Hamilton, Garland HD Kaweah, Tulare HD H. Neely Henry, Calhoun, St. HD Arrowhead, Crow Wing HD Lake of the Pines, Nevada Clair, Etowah Hinkle, Scott Barrett, San Diego Lewiston, Trinity Holt Reservoir, Tuscaloosa HD Maumelle, Pulaski HD Bear Reservoir, -
Ocean Wave Slope and Height Retrieval Using Airborne Polarimetric Remote Sensing
OCEAN WAVE SLOPE AND HEIGHT RETRIEVAL USING AIRBORNE POLARIMETRIC REMOTE SENSING A Dissertation submitted to the Faculty of the Graduate School of Arts and Sciences of Georgetown University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Physics By Rebecca Baxter, M.S. Washington, DC April 17, 2012 Copyright 2012 by Rebecca Baxter All Rights Reserved ii OCEAN WAVE SLOPE AND HEIGHT RETRIEVAL USING AIRBORNE POLARIMETRIC REMOTE SENSING Rebecca Baxter, M.S. Thesis advisors: Edward Van Keuren, Ph.D. Brett Hooper, Ph.D. ABSTRACT Ocean wave heights are typically measured at select geographic locations using in situ ocean buoys. This dissertation has developed a technique to remotely measure wave heights using imagery collected from a polarimetric camera system mounted on an airborne platform, enabling measurements over large areas and in regions devoid of wave buoys. The technique exploits the polarization properties of Fresnel reflectivity at the ocean surface to calculate wave slopes. Integrating the slope field produces a measurement of significant wave height. In this dissertation, I present experimental data collection and analysis of airborne remotely sensed polarimetric imagery collected over the ocean using Areté Associates’ Airborne Remote Optical Spotlight System-MultiSpectral Polarimeter, as well as modeled results of the expected radiance and polarization at the sensor. The modeling incorporates two sources of radiance/polarization: surface reflected sky radiance and scattered path radiance. The latter accounts for a significant portion of the total radiance and strongly affects the polarization state measured at the sensor. After laying the groundwork, I describe my significant wave height retrieval algorithm, apply it to the polarimetric data, and present the results.