Peak Irradiance & Energy Density
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Radiant Heating with Infrared
W A T L O W RADIANT HEATING WITH INFRARED A TECHNICAL GUIDE TO UNDERSTANDING AND APPLYING INFRARED HEATERS Bleed Contents Topic Page The Advantages of Radiant Heat . 1 The Theory of Radiant Heat Transfer . 2 Problem Solving . 14 Controlling Radiant Heaters . 25 Tips On Oven Design . 29 Watlow RAYMAX® Heater Specifications . 34 The purpose of this technical guide is to assist customers in their oven design process, not to put Watlow in the position of designing (and guaranteeing) radiant ovens. The final responsibility for an oven design must remain with the equipment builder. This technical guide will provide you with an understanding of infrared radiant heating theory and application principles. It also contains examples and formulas used in determining specifications for a radiant heating application. To further understand electric heating principles, thermal system dynamics, infrared temperature sensing, temperature control and power control, the following information is also available from Watlow: • Watlow Product Catalog • Watlow Application Guide • Watlow Infrared Technical Guide to Understanding and Applying Infrared Temperature Sensors • Infrared Technical Letter #5-Emissivity Table • Radiant Technical Letter #11-Energy Uniformity of a Radiant Panel © Watlow Electric Manufacturing Company, 1997 The Advantages of Radiant Heat Electric radiant heat has many benefits over the alternative heating methods of conduction and convection: • Non-Contact Heating Radiant heaters have the ability to heat a product without physically contacting it. This can be advantageous when the product must be heated while in motion or when physical contact would contaminate or mar the product’s surface finish. • Fast Response Low thermal inertia of an infrared radiation heating system eliminates the need for long pre-heat cycles. -
Guide for the Use of the International System of Units (SI)
Guide for the Use of the International System of Units (SI) m kg s cd SI mol K A NIST Special Publication 811 2008 Edition Ambler Thompson and Barry N. Taylor NIST Special Publication 811 2008 Edition Guide for the Use of the International System of Units (SI) Ambler Thompson Technology Services and Barry N. Taylor Physics Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 (Supersedes NIST Special Publication 811, 1995 Edition, April 1995) March 2008 U.S. Department of Commerce Carlos M. Gutierrez, Secretary National Institute of Standards and Technology James M. Turner, Acting Director National Institute of Standards and Technology Special Publication 811, 2008 Edition (Supersedes NIST Special Publication 811, April 1995 Edition) Natl. Inst. Stand. Technol. Spec. Publ. 811, 2008 Ed., 85 pages (March 2008; 2nd printing November 2008) CODEN: NSPUE3 Note on 2nd printing: This 2nd printing dated November 2008 of NIST SP811 corrects a number of minor typographical errors present in the 1st printing dated March 2008. Guide for the Use of the International System of Units (SI) Preface The International System of Units, universally abbreviated SI (from the French Le Système International d’Unités), is the modern metric system of measurement. Long the dominant measurement system used in science, the SI is becoming the dominant measurement system used in international commerce. The Omnibus Trade and Competitiveness Act of August 1988 [Public Law (PL) 100-418] changed the name of the National Bureau of Standards (NBS) to the National Institute of Standards and Technology (NIST) and gave to NIST the added task of helping U.S. -
Extraction of Incident Irradiance from LWIR Hyperspectral Imagery Pierre Lahaie, DRDC Valcartier 2459 De La Bravoure Road, Quebec, Qc, Canada
DRDC-RDDC-2015-P140 Extraction of incident irradiance from LWIR hyperspectral imagery Pierre Lahaie, DRDC Valcartier 2459 De la Bravoure Road, Quebec, Qc, Canada ABSTRACT The atmospheric correction of thermal hyperspectral imagery can be separated in two distinct processes: Atmospheric Compensation (AC) and Temperature and Emissivity separation (TES). TES requires for input at each pixel, the ground leaving radiance and the atmospheric downwelling irradiance, which are the outputs of the AC process. The extraction from imagery of the downwelling irradiance requires assumptions about some of the pixels’ nature, the sensor and the atmosphere. Another difficulty is that, often the sensor’s spectral response is not well characterized. To deal with this unknown, we defined a spectral mean operator that is used to filter the ground leaving radiance and a computation of the downwelling irradiance from MODTRAN. A user will select a number of pixels in the image for which the emissivity is assumed to be known. The emissivity of these pixels is assumed to be smooth and that the only spectrally fast varying variable in the downwelling irradiance. Using these assumptions we built an algorithm to estimate the downwelling irradiance. The algorithm is used on all the selected pixels. The estimated irradiance is the average on the spectral channels of the resulting computation. The algorithm performs well in simulation and results are shown for errors in the assumed emissivity and for errors in the atmospheric profiles. The sensor noise influences mainly the required number of pixels. Keywords: Hyperspectral imagery, atmospheric correction, temperature emissivity separation 1. INTRODUCTION The atmospheric correction of thermal hyperspectral imagery aims at extracting the temperature and the emissivity of the material imaged by a sensor in the long wave infrared (LWIR) spectral band. -
Glossary of Terms
GLOSSARY OF TERMS Terminology Used for Ultraviolet (UV) Curing Process Design and Measurement This glossary of terms has been assembled in order to provide users, formulators, suppliers and researchers with terms that are used in the design and measurement of UV curing systems. It was prompted by the scattered and sometimes incorrect terms used in industrial UV curing technologies. It is intended to provide common and technical meanings as used in and appropriate for UV process design, measurement, and specification. General scientific terms are included only where they relate to UV Measurements. The object is to be "user-friendly," with descriptions and comments on meaning and usage, and minimum use of mathematical and strict definitions, but technically correct. Occasionally, where two or more terms are used similarly, notes will indicate the preferred term. For historical and other reasons, terms applicable to UV Curing may vary slightly in their usage from other sciences. This glossary is intended to 'close the gap' in technical language, and is recommended for authors, suppliers and designers in UV Curing technologies. absorbance An index of the light or UV absorbed by a medium compared to the light transmitted through it. Numerically, it is the logarithm of the ratio of incident spectral irradiance to the transmitted spectral irradiance. It is unitless number. Absorbance implies monochromatic radiation, although it is sometimes used as an average applied over a specified wavelength range. absorptivity (absorption coefficient) Absorbance per unit thickness of a medium. actinometer A chemical system or physical device that determines the number of photons in a beam integrally or per unit time. -
Radiometric and Photometric Measurements with TAOS Photosensors Contributed by Todd Bishop March 12, 2007 Valid
TAOS Inc. is now ams AG The technical content of this TAOS application note is still valid. Contact information: Headquarters: ams AG Tobelbaderstrasse 30 8141 Unterpremstaetten, Austria Tel: +43 (0) 3136 500 0 e-Mail: [email protected] Please visit our website at www.ams.com NUMBER 21 INTELLIGENT OPTO SENSOR DESIGNER’S NOTEBOOK Radiometric and Photometric Measurements with TAOS PhotoSensors contributed by Todd Bishop March 12, 2007 valid ABSTRACT Light Sensing applications use two measurement systems; Radiometric and Photometric. Radiometric measurements deal with light as a power level, while Photometric measurements deal with light as it is interpreted by the human eye. Both systems of measurement have units that are parallel to each other, but are useful for different applications. This paper will discuss the differencesstill and how they can be measured. AG RADIOMETRIC QUANTITIES Radiometry is the measurement of electromagnetic energy in the range of wavelengths between ~10nm and ~1mm. These regions are commonly called the ultraviolet, the visible and the infrared. Radiometry deals with light (radiant energy) in terms of optical power. Key quantities from a light detection point of view are radiant energy, radiant flux and irradiance. SI Radiometryams Units Quantity Symbol SI unit Abbr. Notes Radiant energy Q joule contentJ energy radiant energy per Radiant flux Φ watt W unit time watt per power incident on a Irradiance E square meter W·m−2 surface Energy is an SI derived unit measured in joules (J). The recommended symbol for energy is Q. Power (radiant flux) is another SI derived unit. It is the derivative of energy with respect to time, dQ/dt, and the unit is the watt (W). -
Radiometry and Photometry
Radiometry and Photometry Wei-Chih Wang Department of Power Mechanical Engineering National TsingHua University W. Wang Materials Covered • Radiometry - Radiant Flux - Radiant Intensity - Irradiance - Radiance • Photometry - luminous Flux - luminous Intensity - Illuminance - luminance Conversion from radiometric and photometric W. Wang Radiometry Radiometry is the detection and measurement of light waves in the optical portion of the electromagnetic spectrum which is further divided into ultraviolet, visible, and infrared light. Example of a typical radiometer 3 W. Wang Photometry All light measurement is considered radiometry with photometry being a special subset of radiometry weighted for a typical human eye response. Example of a typical photometer 4 W. Wang Human Eyes Figure shows a schematic illustration of the human eye (Encyclopedia Britannica, 1994). The inside of the eyeball is clad by the retina, which is the light-sensitive part of the eye. The illustration also shows the fovea, a cone-rich central region of the retina which affords the high acuteness of central vision. Figure also shows the cell structure of the retina including the light-sensitive rod cells and cone cells. Also shown are the ganglion cells and nerve fibers that transmit the visual information to the brain. Rod cells are more abundant and more light sensitive than cone cells. Rods are 5 sensitive over the entire visible spectrum. W. Wang There are three types of cone cells, namely cone cells sensitive in the red, green, and blue spectral range. The approximate spectral sensitivity functions of the rods and three types or cones are shown in the figure above 6 W. Wang Eye sensitivity function The conversion between radiometric and photometric units is provided by the luminous efficiency function or eye sensitivity function, V(λ). -
Radtech Buyers Guide
UV Glossary Feature of Terms Terminology Used for Ultraviolet (UV) Curing Process Design and Measurement This glossary of terms has been assembled in order to provide users, formulators, suppliers and researchers with terms that are used in the design and measurement of UV-curing systems. It was prompted by the scattered and sometimes incorrect terms used in industrial UV-curing technologies. It is intended to provide common and technical meanings as used in and appropriate for UV process design, measurement and specification. General scientific terms are included only where they relate to UV Measurements. The object is to be “user-friendly,” with descriptions and comments on meaning and usage, and minimum use of mathematical and strict definitions, but technically correct. Occasionally, where two or more terms are used similarly, notes will indicate the preferred term. For historical and other reasons, terms applicable to UV curing may vary slightly in their usage from other sciences. This glossary is intended to “close the gap” in technical language, and is recommended for authors, suppliers and designers in UV-curing technologies. absorbance had small amounts of metal halide(s) wavelengths (IR) are called “cold An index of the light or UV absorbed added to the mercury within the bulb. mirrors,” while reflectors having by a medium compared to the light These materials will emit their character- enhanced reflectance to long transmitted through it. Numerically, it is istic wavelengths in addition to the wavelengths are called “hot mirrors.” the logarithm of the ratio of incident mercury emissions. [This term is diffuse spectral irradiance to the transmitted preferred over doped lamps.] A characteristic of a surface that spectral irradiance. -
Basic Principles of Imaging and Photometry Lecture #2
Basic Principles of Imaging and Photometry Lecture #2 Thanks to Shree Nayar, Ravi Ramamoorthi, Pat Hanrahan Computer Vision: Building Machines that See Lighting Camera Physical Models Computer Scene Scene Interpretation We need to understand the Geometric and Radiometric relations between the scene and its image. A Brief History of Images 1558 Camera Obscura, Gemma Frisius, 1558 A Brief History of Images 1558 1568 Lens Based Camera Obscura, 1568 A Brief History of Images 1558 1568 1837 Still Life, Louis Jaques Mande Daguerre, 1837 A Brief History of Images 1558 1568 1837 Silicon Image Detector, 1970 1970 A Brief History of Images 1558 1568 1837 Digital Cameras 1970 1995 Geometric Optics and Image Formation TOPICS TO BE COVERED : 1) Pinhole and Perspective Projection 2) Image Formation using Lenses 3) Lens related issues Pinhole and the Perspective Projection Is an image being formed (x,y) on the screen? YES! But, not a “clear” one. screen scene image plane r =(x, y, z) y optical effective focal length, f’ z axis pinhole x r'=(x', y', f ') r' r x' x y' y = = = f ' z f ' z f ' z Magnification A(x, y, z) B y d B(x +δx, y +δy, z) optical f’ z A axis Pinhole A’ d’ x planar scene image plane B’ A'(x', y', f ') B'(x'+δx', y'+δy', f ') From perspective projection: Magnification: x' x y' y d' (δx')2 + (δy')2 f ' = = m = = = f ' z f ' z d (δx)2 + (δy)2 z x'+δx' x +δx y'+δy' y +δy = = Area f ' z f ' z image = m2 Areascene Orthographic Projection Magnification: x' = m x y' = m y When m = 1, we have orthographic projection r =(x, y, z) r'=(x', y', f ') y optical z axis x z ∆ image plane z This is possible only when z >> ∆z In other words, the range of scene depths is assumed to be much smaller than the average scene depth. -
Principles and Techniques of Remote Sensing
EE/Ae 157a Introduction to the Physics and Techniques of Remote Sensing Week 2: Nature and Properties of Electromagnetic Waves 2-1 TOPICS TO BE COVERED • Fundamental Properties of Electromagnetic Waves – Electromagnetic Spectrum, Maxwell’s Equations, Wave Equation, Quantum Properties of EM Radiation, Polarization, Coherency, Group and Phase Velocity, Doppler Effect • Nomenclature and Definition of Radiation Quantities – Radiation Quantities, Spectral Quantities, Luminous Quantities • Generation of Electromagnetic Radiation • Detection of Electromagnetic Radiation • Overview of Interaction of EM Waves with Matter • Interaction Mechanisms Throughout the Electromagnetic Spectrum 2-2 ELECTROMAGNETIC SPECTRUM 2-3 MAXWELL’S EQUATIONS B E t D H J t B 0r H D 0 rE E 0 B 0 2-4 WAVE EQUATION From Maxwell’s Equations, we find: E H 0 r t 2E 0 r 0 r t 2 E E 2E 2E 2E 0 0 r 0 r t2 This is the free-space wave equation 2-5 SOLUTION TO THE WAVE EQUATION For a sinusoidal field, the wave equation reduces to 2 2 E 2 E 0 cr The solution to this equation is of the form E Aei kr t The speed of light is given by 1 c0 cr 0 r 0r r r 2-6 QUANTUM PROPERTIES OF EM RADIATION • Maxwell’s equations describe mathematically smooth motion of fields. • For very short wavelengths, it fails to describe certain significant phenomena when the wave interacts with matter. • In those cases, a quantum description is more appropriate. • In this description, the EM radiation is presented by a quantized burst with energy Q proportional to the -
LAND SURFACE EMISSIVITY Long-Wave Infrared (LWIR)
L LAND SURFACE EMISSIVITY Long-wave infrared (LWIR). For most terrestrial surfaces (340 K to 240 K), peak thermal emittance occurs in the LWIR (8–14 mm). Alan Gillespie Mid-infrared (MIR). Forest fires (1,000–600 K) have Department of Earth and Space Sciences, University peak thermal emittances in the MIR (3–5 mm). of Washington, Seattle, WA, USA Noise equivalent D temperature (NEDT). Random mea- surement error in radiance propagated through Planck’s law to give the equivalent uncertainty in temperature. Definitions Path radiance S↑. The power per unit area incident on Land surface emissivity (LSE). Average emissivity of a detector and emitted upward from within the atmosphere À À an element of the surface of the Earth calculated (W m 2 sr 1). from measured radiance and land surface temperature Planck’s law. A mathematical expression relating spectral (LST) (for a complete definition, see Norman and Becker, radiance emitted from an ideal surface to its temperature 1995). (Equation 1, in the entry Land Surface Temperature). Atmospheric window. A spectral wavelength region in Radiance. The power per unit area from a surface directed À À which the atmosphere is nearly transparent, separated by toward a sensor, in units of W m 2 sr 1. wavelengths at which atmospheric gases absorb radiation. Reflectivity r. The efficiency with which a surface reflects The three pertinent regions are “visible/near-infrared” energy incident on it. (0.4–2.5 mm), mid-wave infrared (3–5 mm) and Reststrahlen bands. Spectral bands in which there is long-wave infrared (8–14 mm). -
6 Black-Body Radiation [Ch
6 Black-body radiation The subjects for consideration in this chapter are the black-body model, which is of primary importance in thermal radiation theory and practice, and the fundamental laws of radiation of such a system. Natural and arti®cial physical objects, which are close in their characteristics to black bodies, are considered here. The quantitative black-body radiation laws and their corollaries are analysed in detail. The notions of emissivity and absorptivity of physical bodies of grey-body radiation character are also introduced. The Kirchholaw, its various forms and corollaries are analysed on this basis. 6.1 THE IDEAL BLACK-BODY MODEL: HISTORICAL ASPECTS The ideal black-body notion (hereafter the black-body notion) is of primary impor- tance in studying thermal radiation and electromagnetic radiation energy transfer in all wavelength bands. Being an ideal radiation absorber, the black body is used as a standard with which the absorption of real bodies is compared. As we shall see later, the black body also emits the maximum amount of radiation and, consequently, it is used as a standard for comparison with the radiation of real physical bodies. This notion, introduced by G. Kirchhoin 1860, is so important that it is actively used in studying not only the intrinsic thermal radiation of natural media, but also the radiations caused by dierent physical nature. Moreover, this notion and its characteristics are sometimes used in describing and studying arti®cial, quasi- deterministic electromagnetic radiation (in radio- and TV-broadcasting and commu- nications). The emissive properties of a black body are determined by means of quantum theory and are con®rmed by experiment. -
Advanced Global Illumination
Advanced Global Illumination Philip Dutré (co-organizer) Departement of Computer Science Katholieke Universiteit Leuven BELGIUM Kavita Bala (co-organizer) Program of Computer Graphics Cornell University USA Philippe Bekaert Max-Planck-Institut für Informatik Saarbrücken GERMANY SIGGRAPH 2002 Course 2 (Half Day) Course Abstract In this course, we describe the fundamentals of light transport and techniques for computing the global distribution of light in a scene. The main focus will be on the light transport simulation since the quality and efficiency of a photo-realistic renderer is determined by its global illumina- tion algorithm. We explain the basic principles and fundamentals behind algorithms such as sto- chastic ray tracing, path tracing, light tracing and stochastic radiosity. Presenters Philip Dutré Assistant Professor Department of Computer Science, University of Leuven Celestijnenlaan 200A B-3001 Leuven BELGIUM Email: [email protected] URL: http://www.cs.kuleuven.ac.be/~phil/ Philip Dutré is an assistant professor at the Department of Computer Science at the Katholieke Universiteit Leuven, Belgium. Previously, he was a post-doctoral research associate in the Program of Computer Graphics at Cornell University. He received a Ph.D. in Computer Science from the Katholieke Universiteit Leuven, Belgium in 1996, titled “Mathematical Frame-works and Monte Carlo Algorithms for Global Illu- mination in Computer Graphics” under supervision of Prof. Dr. Y. Willems. His current research interests include real-time global illumination, probabilistic visibility, accurate shadows and augmented reality. He is involved in teaching undergraduate and graduate courses covering computer graphics and rendering algorithms. He is the author of several papers on global illumination algorithms and the light transport problem.