Reprint (R34) Accurate Transmission Measurements Of Translucent Materials. January 2008
|
|
- Piers Stone
- 5 years ago
- Views:
Transcription
1 Reprnt (R34) Accurate ransmsson Measurements Of ranslucent Materals January 2008 Gooch & Housego th Street, Orlando, FL el: Fax: Emal: sales@goochandhousego.com
2
3 Accurate ransmsson Measurements of ranslucent Materals Unlke transparent materals whch transmt lght wth no apprecable attenuaton or absorpton, translucent materals often possess certan propertes and physcal structures that cause ncdent lght to become scattered as t passes through the sample. he scatterng that occurs poses some nterestng challenges when attemptng to measure the transmsson of these materals. here are three basc processes that occur when lght strkes an object; t can be ether be reflected, transmtted, or absorbed. Other process such as fluorescence can occur due to the presence of shorter wavelength radaton n the rradatng source, however we wll not be addressng ths drectly n ths artcle. In normal or regular transmsson measurements of transparent materals where the angle of the transmtted beam can be calculated f the ncdent angle s known usng Snell s law, n Sn = nsn (1) 1 θ1 2 θ2 the measurement setup s farly straghtforward (Fg. 1.). A stable source s used to provde llumnaton and dependng on the nformaton requred, a radometer, photometer, or spectroradometer s used to process the sgnals. A measurement of the source t acqured by placng t nlne wth the detector and wthout the sample n place and the ncdent flux s recorded as. he sample s then placed between the source and the detector and another measurement s taken and recorded as t. he rato of these two sgnals s the transmsson of the sample and can be reported as ether radant, lumnous (photometrc), or spectral transmttance. Lumnous ransmttance v, t τ v = (2) v, Spectral ransmttance τ( λ) t ( λ) ( λ) = (3) No specal consderatons are needed snce the ncdent beam dameter s roughly the same as the transmtted beam dameter and therefore all of the transmtted lght s receved by the detector. ransparent Sample Detector Fg. 1. Regular ransmsson Measuremet Setup
4 hs s not so wth translucent materals. When ncdent lght mpnges on a translucent materal, t tends to scatter and dffuse and therefore the angle of the transmtted lght no longer obeys Snell s law (Fg. 2.). hs results n much of the transmtted lght mssng the detector. It s ths dffuse transmsson of lght that requres specal attenton and proper selecton of detecton optcs to ensure all transmtted lght s collected and processed. ranslucent Sample Detector Fg. 2. Regular ransmsson Measurement Setup o effectvely collect all dffusely and non-dffusely transmtted lght, t becomes necessary to select a large angle collecton optc. By vrtue of ther desgn, ntegratng spheres are perfect for ths type of measurement. By placng the sample up to the nput port t becomes possble to collect even the hghest angle rays (Fg 3). It s not, however, a straghtforward measurement as when measurng transparent samples. ranslucent Sample Ext Integratng Sphere Fg. 3. Dffuse ransmsson Measurement Setup At frst glance t may seem as though we can smply take a measurement of the lght ncdent on the nput port,, place our sample up to the sphere port and take another measurement of the transmtted lght, t, calculate the spectral transmttance. Although ths sounds lke a logcal approach, we have not taken nto account the fact that by placng the sample up to the sphere port, we have effectvely changed the response of the sphere. Wthout a sample n place, t s clear that some of the ncdent lght s allowed to escape back through the nput port. Placng a sample aganst the port also allows some of the transmtted lght to escape through the nput port, however n dfferent proporton than wth no sample n place. In addton, lght s also re-reflected back nto the sphere from the sphere sde of the sample and s spectrally dependent on the composton of the sample. (Fg. 4). Fg. 4 Lght path wth and wthout sample n place
5 o account for the changes n ntegratng sphere response due to sample placement, t becomes necessary to utlze two sources, one for rradatng the sample and the other for determnng the spectral response changes. It s mportant to note that both sources must have the same spectral dstrbuton when usng the double beam method for transmsson measurements. A representatve setup for measurng total transmsson, τ, s shown (Fg. 5), otal ransmsson τ τ + τ = (4) where τ R s the regular transmsson and τ D s the dffuse transmsson. R D Correcton Incdent Ext Fg. 5 ypcal setup for measurng dffuse transmsson usng double beam method he double beam method for measurng dffuse transmsson of translucent materals conssts of 4 separate steps: 1) ake measurement of Incdent wthout sample n place and Correcton off 2) ake measurement of Correcton wthout sample n place and Incdent off 3) Keepng Incdent off, nstall sample aganst port and agan take measurement wth Correcton 4) ake measurement wth Incdent wth Correcton off. Steps one and two combne to provde and general calbraton for the system by dvdng the flux obtaned from the Correcton, CS by the flux of the Incdent,. Step three s essental for the spectral and ntensty correcton of the system due to the presence of the transmttng samples at the ntegratng sphere port. hs s generally referred to as the sample calbraton, cal, and s specfc to the 1 ndvdual sample under test. he measurement s recorded as. If the spectral characterstcs, nherent dffusvty, or transmsson of the sample changes, a new sample calbraton must be performed. A fnal measurement of the sample s obtaned wth the ncdent source and recorded as S. he total spectral transmsson, τ, of the sample can then be calculated. otal Spectral ransmsson τ ( λ) CS = cal ( λ) 1 ( λ) ( λ) cal S ( ) λ
6 Usng ths approach, test results show a marked dfference between measurements made usng the 2 beam and 4 beam methods. It s also worth notng that lookng at Fg. 6 t s clear that the dfferences obtaned usng a spectroradometer and the 4 beam method are not smply a constant shft, but rather spectrally dependent on the color and composton of the samples beng tested. Fg. 6 Comparson of 2 beam vs. 4 beam method for measurng dffuse transmsson
Color Rendering Uncertainty
Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:
More informationDifference Equations
Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1
More informationComposite Hypotheses testing
Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter
More informationMeasurement of Radiation: Exposure. Purpose. Quantitative description of radiation
Measurement of Radaton: Exposure George Starkschall, Ph.D. Department of Radaton Physcs U.T. M.D. Anderson Cancer Center Purpose To ntroduce the concept of radaton exposure and to descrbe and evaluate
More informationA quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A.
A quote of the week (or camel of the week): here s no expedence to whch a man wll not go to avod the labor of thnkng. homas A. Edson Hess law. Algorthm S Select a reacton, possbly contanng specfc compounds
More informationLecture 3. Interaction of radiation with surfaces. Upcoming classes
Radaton transfer n envronmental scences Lecture 3. Interacton of radaton wth surfaces Upcomng classes When a ray of lght nteracts wth a surface several nteractons are possble: 1. It s absorbed. 2. It s
More informationRadiation Chapter 12 L8 (MMV031) Martin Andersson
Radaton Chapter 12 L8 (MMV031) Martn Andersson Contents Thermal Radaton Gas radaton Thermal radaton Thermal radaton s the electromagnetc radaton a body s emttng due to ts temperature electromagnetc radaton
More informationFREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced,
FREQUENCY DISTRIBUTIONS Page 1 of 6 I. Introducton 1. The dea of a frequency dstrbuton for sets of observatons wll be ntroduced, together wth some of the mechancs for constructng dstrbutons of data. Then
More informationSolution Thermodynamics
Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More informationModerator & Moderator System
NPTL Chemcal ngneerng Nuclear Reactor Technology Moderator & Moderator System K.S. Rajan Professor, School of Chemcal & Botechnology SASTRA Unversty Jont Intatve of IITs and IISc Funded by MHRD Page of
More information/ n ) are compared. The logic is: if the two
STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence
More informationGeneral Tips on How to Do Well in Physics Exams. 1. Establish a good habit in keeping track of your steps. For example, when you use the equation
General Tps on How to Do Well n Physcs Exams 1. Establsh a good habt n keepng track o your steps. For example when you use the equaton 1 1 1 + = d d to solve or d o you should rst rewrte t as 1 1 1 = d
More informationTopic 23 - Randomized Complete Block Designs (RCBD)
Topc 3 ANOVA (III) 3-1 Topc 3 - Randomzed Complete Block Desgns (RCBD) Defn: A Randomzed Complete Block Desgn s a varant of the completely randomzed desgn (CRD) that we recently learned. In ths desgn,
More information2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011
Interface Energy Couplng between -tungsten Nanoflm and Few-layered Graphene Meng Han a, Pengyu Yuan a, Jng Lu a, Shuyao S b, Xaolong Zhao b, Yanan Yue c, Xnwe Wang a,*, Xangheng Xao b,* a 2010 Black Engneerng
More informationPulse Coded Modulation
Pulse Coded Modulaton PCM (Pulse Coded Modulaton) s a voce codng technque defned by the ITU-T G.711 standard and t s used n dgtal telephony to encode the voce sgnal. The frst step n the analog to dgtal
More informationOn resolving the optical spectra of the edge plasma radiation against a strong background of the divertor stray light
Journal of Physcs: Conference Seres PAPER OPEN ACCESS On resolvng the optcal spectra of the edge plasma radaton aganst a strong background of the dvertor stray lght To cte ths artcle: L Ognev and V S Lstsa
More informationExperiment 1 Mass, volume and density
Experment 1 Mass, volume and densty Purpose 1. Famlarze wth basc measurement tools such as verner calper, mcrometer, and laboratory balance. 2. Learn how to use the concepts of sgnfcant fgures, expermental
More informationFresnel's Equations for Reflection and Refraction
Fresnel's Equatons for Reflecton and Refracton Incdent, transmtted, and reflected beams at nterfaces Reflecton and transmsson coeffcents The Fresnel Equatons Brewster's Angle Total nternal reflecton Power
More informationNumerical Transient Heat Conduction Experiment
Numercal ransent Heat Conducton Experment OBJECIVE 1. o demonstrate the basc prncples of conducton heat transfer.. o show how the thermal conductvty of a sold can be measured. 3. o demonstrate the use
More informationEXAFS. Extended X-Ray Absorption Fine Structure. Santiago J. A. Figueroa Researcher Beamline coordinator XAFS2
EXAFS Santago J. A. Fgueroa Researcher Beamlne coordnator XAFS santago.fgueroa@lnls.br Extended X-Ray Absorpton Fne Structure EXAFS 5 th School on X-Ray Spectroscopy Methods Campnas, 3 de Agosto de 16
More informationLab 2e Thermal System Response and Effective Heat Transfer Coefficient
58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),
More informationSENSITIVITY TO OPTICAL NOISE OF THE MEASUREMENTS OF PARTICLE CONCENTRATION AND VOLUME FLUX WITH A PHASE DOPPLER ANEMOMETER IN DILUTE SPRAYS
ILASS-Europe Zaragoza 9- September SENSITIVITY TO OPTICAL NOISE OF THE MEASUREMENTS OF PARTICLE CONCENTRATION AN VOLUME FLUX WITH A PHASE OPPLER ANEMOMETER IN ILUTE SPRAYS E. Palacos, A. Lecuona, M. de
More informationThermal State Investigations of Two-stage Thruster with Anode Layer
Thermal State Investgatons of Two-stage Thruster wth Anode Layer IEPC-2007-127 Presented at the 30 th Internatonal Electrc Propulson Conference, Florence, Italy Mtroshn A.S. *, Garkusha V.I., Semenkn A.V.
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More information1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations
Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys
More informationBoundaries, Near-field Optics
Boundares, Near-feld Optcs Fve boundary condtons at an nterface Fresnel Equatons : Transmsson and Reflecton Coeffcents Transmttance and Reflectance Brewster s condton a consequence of Impedance matchng
More informationError Probability for M Signals
Chapter 3 rror Probablty for M Sgnals In ths chapter we dscuss the error probablty n decdng whch of M sgnals was transmtted over an arbtrary channel. We assume the sgnals are represented by a set of orthonormal
More informationAdiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram
Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton
More informationChapter 13: Multiple Regression
Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More informationStatistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA
14 th Internatonal Users Conference Sesson: ALE-FSI Statstcal Energy Analyss for Hgh Frequency Acoustc Analyss wth Zhe Cu 1, Yun Huang 1, Mhamed Soul 2, Tayeb Zeguar 3 1 Lvermore Software Technology Corporaton
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationLevel Crossing Spectroscopy
Level Crossng Spectroscopy October 8, 2008 Contents 1 Theory 1 2 Test set-up 4 3 Laboratory Exercses 4 3.1 Hanle-effect for fne structure.................... 4 3.2 Hanle-effect for hyperfne structure.................
More informationFE REVIEW OPERATIONAL AMPLIFIERS (OP-AMPS)( ) 8/25/2010
FE REVEW OPERATONAL AMPLFERS (OP-AMPS)( ) 1 The Op-amp 2 An op-amp has two nputs and one output. Note the op-amp below. The termnal labeled l wth the (-) sgn s the nvertng nput and the nput labeled wth
More informationResearch Article Green s Theorem for Sign Data
Internatonal Scholarly Research Network ISRN Appled Mathematcs Volume 2012, Artcle ID 539359, 10 pages do:10.5402/2012/539359 Research Artcle Green s Theorem for Sgn Data Lous M. Houston The Unversty of
More informationPhysics 5153 Classical Mechanics. Principle of Virtual Work-1
P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More information2 Finite difference basics
Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T
More informationSIMPLE REACTION TIME AS A FUNCTION OF TIME UNCERTAINTY 1
Journal of Expermental Vol. 5, No. 3, 1957 Psychology SIMPLE REACTION TIME AS A FUNCTION OF TIME UNCERTAINTY 1 EDMUND T. KLEMMER Operatonal Applcatons Laboratory, Ar Force Cambrdge Research Center An earler
More informationMeasurement Uncertainties Reference
Measurement Uncertantes Reference Introducton We all ntutvely now that no epermental measurement can be perfect. It s possble to mae ths dea quanttatve. It can be stated ths way: the result of an ndvdual
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationECE 107: Electromagnetism
ECE 107: Electromagnetsm Set 8: Plane waves Instructor: Prof. Vtaly Lomakn Department of Electrcal and Computer Engneerng Unversty of Calforna, San Dego, CA 92093 1 Wave equaton Source-free lossless Maxwell
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More information29th Monitoring Research Review: Ground-Based Nuclear Explosion Monitoring Technologies
TESTING THE SPECTRAL DECONVOLUTION ALGORITHM TOOL (SDAT) WITH XE SPECTRA Steven R. Begalsk, Kendra M. Foltz Begalsk, and Derek A. Haas The Unversty of Texas at Austn Sponsored by Army Space and Mssle Defense
More informationIntroduction to Antennas & Arrays
Introducton to Antennas & Arrays Antenna transton regon (structure) between guded eaves (.e. coaxal cable) and free space waves. On transmsson, antenna accepts energy from TL and radates t nto space. J.D.
More informationIntroductory Optomechanical Engineering. 2) First order optics
Introductory Optomechancal Engneerng 2) Frst order optcs Moton of optcal elements affects the optcal performance? 1. by movng the mage 2. hgher order thngs (aberratons) The frst order effects are most
More informationEnergy Storage Elements: Capacitors and Inductors
CHAPTER 6 Energy Storage Elements: Capactors and Inductors To ths pont n our study of electronc crcuts, tme has not been mportant. The analyss and desgns we hae performed so far hae been statc, and all
More informationFormal solvers of the RT equation
Formal solvers of the RT equaton Formal RT solvers Runge- Kutta (reference solver) Pskunov N.: 979, Master Thess Long characterstcs (Feautrer scheme) Cannon C.J.: 970, ApJ 6, 55 Short characterstcs (Hermtan
More informationLecture 4: November 17, Part 1 Single Buffer Management
Lecturer: Ad Rosén Algorthms for the anagement of Networs Fall 2003-2004 Lecture 4: November 7, 2003 Scrbe: Guy Grebla Part Sngle Buffer anagement In the prevous lecture we taled about the Combned Input
More informationPsychology 282 Lecture #24 Outline Regression Diagnostics: Outliers
Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.
More informationElectrical double layer: revisit based on boundary conditions
Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer
More informationA LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS. Dr. Derald E. Wentzien, Wesley College, (302) ,
A LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS Dr. Derald E. Wentzen, Wesley College, (302) 736-2574, wentzde@wesley.edu ABSTRACT A lnear programmng model s developed and used to compare
More information9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations
Physcs 171/271 - Chapter 9R -Davd Klenfeld - Fall 2005 9 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys a set
More informationFermi-Dirac statistics
UCC/Physcs/MK/EM/October 8, 205 Fer-Drac statstcs Fer-Drac dstrbuton Matter partcles that are eleentary ostly have a type of angular oentu called spn. hese partcles are known to have a agnetc oent whch
More informationTitle: Radiative transitions and spectral broadening
Lecture 6 Ttle: Radatve transtons and spectral broadenng Objectves The spectral lnes emtted by atomc vapors at moderate temperature and pressure show the wavelength spread around the central frequency.
More informationPART I: MULTIPLE CHOICE (32 questions, each multiple choice question has a 2-point value, 64 points total).
CHEMISTRY 123-07 Mdterm #2 answer key November 04, 2010 Statstcs: Average: 68 p (68%); Hghest: 91 p (91%); Lowest: 37 p (37%) Number of students performng at or above average: 58 (53%) Number of students
More informationOpen Systems: Chemical Potential and Partial Molar Quantities Chemical Potential
Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,
More informationDepartment of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution
Department of Statstcs Unversty of Toronto STA35HS / HS Desgn and Analyss of Experments Term Test - Wnter - Soluton February, Last Name: Frst Name: Student Number: Instructons: Tme: hours. Ads: a non-programmable
More informationCase A. P k = Ni ( 2L i k 1 ) + (# big cells) 10d 2 P k.
THE CELLULAR METHOD In ths lecture, we ntroduce the cellular method as an approach to ncdence geometry theorems lke the Szemeréd-Trotter theorem. The method was ntroduced n the paper Combnatoral complexty
More informationFrequency dependence of the permittivity
Frequency dependence of the permttvty February 7, 016 In materals, the delectrc constant and permeablty are actually frequency dependent. Ths does not affect our results for sngle frequency modes, but
More informationResource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud
Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal
More informationVQ widely used in coding speech, image, and video
at Scalar quantzers are specal cases of vector quantzers (VQ): they are constraned to look at one sample at a tme (memoryless) VQ does not have such constrant better RD perfomance expected Source codng
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationFlux-Uncertainty from Aperture Photometry. F. Masci, version 1.0, 10/14/2008
Flux-Uncertanty from Aperture Photometry F. Masc, verson 1.0, 10/14/008 1. Summary We derve a eneral formula for the nose varance n the flux of a source estmated from aperture photometry. The 1-σ uncertanty
More informationTHE DANIEL SENIORSONIC MULTIPATH GAS FLOWMETER THE DANIEL SENIORSONIC METER AND FLOWCONDITIONERS
Danel SenorSonc The Use of Flow Condtoners Page 1 THE DANIEL SENIORSONIC MULTIPATH GAS FLOWMETER THE DANIEL SENIORSONIC METER AND FLOWCONDITIONERS Danel SenorSonc The Use of Flow Condtoners Page 2 1. Introducton
More informationDETECTION EFFICIENCY CALIBRATION OF SI-SPAD DETECTORS VIA COMPARISON WITH A Si-STANDARD DIODE
th Internatonal DAAAM Baltc Conference "IDUSTRIAL EGIEERIG" 20-22 Aprl 206, Tallnn, Estona DETECTIO EFFICIECY CALIBRATIO OF SI-SPAD DETECTORS VIA COMPARISO WITH A S-STADARD DIODE Dhoska, K.; Hofer, H.;
More informationECE559VV Project Report
ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate
More informationMAGNETISM MAGNETIC DIPOLES
MAGNETISM We now turn to magnetsm. Ths has actually been used for longer than electrcty. People were usng compasses to sal around the Medterranean Sea several hundred years BC. However t was not understood
More informationIts microwave cavity length is 0.96m, and the dimensions are almost
The Optcally Pumped Cs Frequency Standard at the NRLM S.Ohshma, Y.Nakadan and Y. Koga Natonal Research Laboratory of Metrology 1-1-4, Umezono, Tukuba-sh, barak 305 JAPAN ABSTRACT The optcally pumped Cs
More informationImplementation of the Matrix Method
Computatonal Photoncs, Prof. Thomas Pertsch, Abbe School of Photoncs, FSU Jena Computatonal Photoncs Semnar 0 Implementaton of the Matr Method calculaton of the transfer matr calculaton of reflecton and
More informationNumber Average Molar Mass. Mass Average Molar Mass. Z-Average Molar Mass
17 Molar mass: There are dfferent ways to report a molar mass lke (a) Number average molar mass, (b) mass average molar mass, (c) Vscosty average molar mass, (d) Z- Average molar mass Number Average Molar
More informationAnswers Problem Set 2 Chem 314A Williamsen Spring 2000
Answers Problem Set Chem 314A Wllamsen Sprng 000 1) Gve me the followng crtcal values from the statstcal tables. a) z-statstc,-sded test, 99.7% confdence lmt ±3 b) t-statstc (Case I), 1-sded test, 95%
More informationSupporting Information
Supportng Informaton Water structure at the ar-aqueous nterface of dvalent caton and ntrate solutons Man Xu, Rck Spnney, Heather C. Allen* allen@chemstry.oho-state.edu Fresnel factors and spectra normalzaton
More informationISQS 6348 Final Open notes, no books. Points out of 100 in parentheses. Y 1 ε 2
ISQS 6348 Fnal Open notes, no books. Ponts out of 100 n parentheses. 1. The followng path dagram s gven: ε 1 Y 1 ε F Y 1.A. (10) Wrte down the usual model and assumptons that are mpled by ths dagram. Soluton:
More information829. An adaptive method for inertia force identification in cantilever under moving mass
89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,
More informationWinter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan
Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments
More informationConsider the following passband digital communication system model. c t. modulator. t r a n s m i t t e r. signal decoder.
PASSBAND DIGITAL MODULATION TECHNIQUES Consder the followng passband dgtal communcaton system model. cos( ω + φ ) c t message source m sgnal encoder s modulator s () t communcaton xt () channel t r a n
More informationELECTRONICS. EE 42/100 Lecture 4: Resistive Networks and Nodal Analysis. Rev B 1/25/2012 (9:49PM) Prof. Ali M. Niknejad
A. M. Nknejad Unversty of Calforna, Berkeley EE 100 / 42 Lecture 4 p. 1/14 EE 42/100 Lecture 4: Resstve Networks and Nodal Analyss ELECTRONICS Rev B 1/25/2012 (9:49PM) Prof. Al M. Nknejad Unversty of Calforna,
More information16 Reflection and transmission, TE mode
16 Reflecton transmsson TE mode Last lecture we learned how to represent plane-tem waves propagatng n a drecton ˆ n terms of feld phasors such that η = Ẽ = E o e j r H = ˆ Ẽ η µ ɛ = ˆ = ω µɛ E o =0. Such
More informationChapter 12 Analysis of Covariance
Chapter Analyss of Covarance Any scentfc experment s performed to know somethng that s unknown about a group of treatments and to test certan hypothess about the correspondng treatment effect When varablty
More information3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X
Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number
More informationProgramming Project 1: Molecular Geometry and Rotational Constants
Programmng Project 1: Molecular Geometry and Rotatonal Constants Center for Computatonal Chemstry Unversty of Georga Athens, Georga 30602 Summer 2012 1 Introducton Ths programmng project s desgned to provde
More informationChapter 15: Radiation Heat Transfer
Chapter 5: adaton Heat Transfer adaton dffers from Conducton and Convecton heat t transfer mechansms, n the sense that t does not requre the presence of a materal medum to occur nergy transfer by radaton
More informationThis column is a continuation of our previous column
Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard
More informationA capacitor is simply two pieces of metal near each other, separated by an insulator or air. A capacitor is used to store charge and energy.
-1 apactors A capactor s smply two peces of metal near each other, separate by an nsulator or ar. A capactor s use to store charge an energy. A parallel-plate capactor conssts of two parallel plates separate
More informationr i r j 3. (2) Gm j m i r i (r i r j ) r i r j 3. (3)
N-body problem There s a lot of nterestng physcs related to the nteractons of a few bodes, but there are also many systems that can be well-approxmated by a large number of bodes that nteract exclusvely
More informationModule 9. Lecture 6. Duality in Assignment Problems
Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept
More informationRate of Absorption and Stimulated Emission
MIT Department of Chemstry 5.74, Sprng 005: Introductory Quantum Mechancs II Instructor: Professor Andre Tokmakoff p. 81 Rate of Absorpton and Stmulated Emsson The rate of absorpton nduced by the feld
More informationCHAPTER II THEORETICAL BACKGROUND
3 CHAPTER II THEORETICAL BACKGROUND.1. Lght Propagaton nsde the Photonc Crystal The frst person that studes the one dmenson photonc crystal s Lord Raylegh n 1887. He showed that the lght propagaton depend
More informationOptimising MAD & SAD Experiments in MX
Optmsng MAD & SAD Experments n MX Gordon Leonard Structural Bology Group European Synchrotron Radaton Faclty, Grenoble, France. Page 1 l 18 th September 2014 l Gordon Leonard CONTENTS 1. Anomalous Scatterng
More informationSPECIFIC PROBLEMS USING ELECTRONIC PARTICLE COUNTERS KEES KERSTING. KEYWORDS : electronic particle counter; coincidence; multi-tube technique.
HYDROBIOLOGICALBULLETIN 19(1):5-12 (1985) SPECIFIC PROBLEMS USING ELECTRONIC PARTICLE COUNTERS KEES KERSTING KEYWORDS : electronc partcle counter; concdence; mult-tube technque. ABSTRACT Some specfc problems
More informationA Hybrid Variational Iteration Method for Blasius Equation
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method
More information8 Derivation of Network Rate Equations from Single- Cell Conductance Equations
Physcs 178/278 - Davd Klenfeld - Wnter 2015 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons We consder a network of many neurons, each of whch obeys a set of conductancebased,
More informationLecture 12. Transport in Membranes (2)
Lecture 12. Transport n embranes (2) odule Flow Patterns - Perfect mxng - Countercurrent flow - Cocurrent flow - Crossflow embrane Cascades External ass-transfer Resstances Concentraton Polarzaton and
More information), it produces a response (output function g (x)
Lnear Systems Revew Notes adapted from notes by Mchael Braun Typcally n electrcal engneerng, one s concerned wth functons of tme, such as a voltage waveform System descrpton s therefore defned n the domans
More informationSecond Order Analysis
Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to
More informationAnalysis of the Magnetomotive Force of a Three-Phase Winding with Concentrated Coils and Different Symmetry Features
Analyss of the Magnetomotve Force of a Three-Phase Wndng wth Concentrated Cols and Dfferent Symmetry Features Deter Gerlng Unversty of Federal Defense Munch, Neubberg, 85579, Germany Emal: Deter.Gerlng@unbw.de
More information( ) = ( ) + ( 0) ) ( )
EETOMAGNETI OMPATIBIITY HANDBOOK 1 hapter 9: Transent Behavor n the Tme Doman 9.1 Desgn a crcut usng reasonable values for the components that s capable of provdng a tme delay of 100 ms to a dgtal sgnal.
More information