PTFE Reflectance Measurements, Modeling and Simulation for Xenon Detectors

Size: px
Start display at page:

Download "PTFE Reflectance Measurements, Modeling and Simulation for Xenon Detectors"

Transcription

1 PTFE Reflectance Measurements, Modeling and Simulation for Xenon Detectors Claudio F. P. Silva University of Coimbra LIP Laboratory Chicago, 11 June 2011 TIPP 2011 PTFE reflectance measurements, modeling and simulation for Xenon detectors p.1/31

2 The PTFE in Xenon Detectors PTFE (polytetrafluoroethylene) is a common choice for the inner walls of liquid/gaseous xenon experiments Dark Matter Detectors LUX XENON100 Panda-X Double-beta decay NEXT (gaseous xenon) PTFE reflectance measurements, modeling and simulation for Xenon detectors p.2/31

3 Why the use of PTFE PTFE has a high reflectance in the visible spectra ( 99%). A large reflectance essencial to optimize the light collection. (LUX collaboration) Xenon emitts in the VUV region ( nm). Below 250 nm the reflectance of the PTFE is not well known. Hem. Reflectance 0.8 Spectralon PTFE Wavelength (nm) (Kadkhoda et al, SPIE, 3578, 544) PTFE reflectance measurements, modeling and simulation for Xenon detectors p.3/31

4 Objectives The measurement of the reflectance distributions of various fluoropolymers samples for the xenon scintillation light. The modeling of the processes involved and the application to Geant4 simulations. Prediction of the reflectance distribution for the liquid xenon/ptfe interface. PTFE reflectance measurements, modeling and simulation for Xenon detectors p.4/31

5 The PTFE/Teflon R The simplest fluoropolymer ( (CF 2 ) n ) CF is the strongest bond in organic chemistry (good chemical resistance) High temperature resistance -200 C to 260 C Helicoidal structure (temperature dependent) Composed by a crystalline and amorphous phase (usually with different optical properties) PTFE reflectance measurements, modeling and simulation for Xenon detectors p.5/31

6 PTFE - What we should be careful PTFE degradation under intense VUV radiation F F F C C C C F F F PTFE absorbs contaminants (hydrocarbonets) Vacuum-baking at about 90 C for a period of about 48 h recomended It should be left in a sealed container. Plastic containers are not recomended. PTFE reflectance measurements, modeling and simulation for Xenon detectors p.6/31

7 ϕ What do We Mean by Reflection? θ i θ r ϕ i r Bidirectional reflectance distribution function ρ (θ i,φ i ;θ r,φ r ) = di r (θ i,φ i,θ r,φ r ) dφ i (θ i,φ i ) PTFE reflectance measurements, modeling and simulation for Xenon detectors p.7/31

8 What do We Mean by Reflection? Bidirectional Directional-Hemispherical Bi-Hemispherical Biconical Conical-Hemispherical H V Detector θ i θ r n Sample PTFE reflectance measurements, modeling and simulation for Xenon detectors p.8/31

9 The Angle Resolution System The Angle Resolution System (ARS) is placed inside an air tight chamber. The light of 175 nm is emitted by a xenon proportional counter. PTFE reflectance measurements, modeling and simulation for Xenon detectors p.9/31

10 The Angle Resolution System Light source 220 mm 80 mm Surface sample m m 91 mm θ i θ r Xenon light source scintillation Black cover iris diaphragms photo detector (photomultiplier) PTFE reflectance measurements, modeling and simulation for Xenon detectors p.10/31

11 Reflectance Components Specular: Incident light Reflected light specular spike specular lobe Refracted light Rough surface Diffuse: Incident light diffuse light Internal reflection Internal scattering absorption PTFE reflectance measurements, modeling and simulation for Xenon detectors p.11/31

12 Reflectance Components Light Source Photo Sensor incident ray θ n θ Specular Spike Backscatterer Lobe diffuse lobe Specular Lobe reflecting surface ρ = ρ l + ρ s + ρ d + ρ b ρ l specular lobe ρ s specular spike ρ d diffuse lobe ρ b backscatterer lobe PTFE reflectance measurements, modeling and simulation for Xenon detectors p.12/31

13 The Specular Reflection ρ = F (θ i )χ 1 χ 1δ (i r) + (1 χ 1 χ 1)F (θ ) P α (α)g(θ i,θ r ) 4 cos θ i F - the Fresnel equations, dependent of n and κ χ 1 - the characteristic function of the probability distribution of heights P 1 (z) P α (α) - the probability distribution of the slopes α G (θ i,θ r ) - shadowing-masking attenuation coefficient i θ i θ i n α n θ r θ r V φ r PTFE reflectance measurements, modeling and simulation for Xenon detectors p.13/31

14 The Specular Lobe The following distributions P α were considered Cook-Torrance - Gaussian Like ( 1 P CT (α,m) = πm 2 cos 4 α exp Trowbridge-Reitz P TR (α,γ) = Bivariate-Cauchy P BC (α,γ) = γ 2 π(γ 2 cos 2 α+sin 2 α) 2 γ 2 +γ π(γ 2 cos 2 α+sin 2 α) 3 2 ) tan2 α m 2 PTFE reflectance measurements, modeling and simulation for Xenon detectors p.14/31

15 The Specular Reflection ρ = F (θ i )χ 1 χ 1δ (i r) + (1 χ 1 χ 1)F (θ ) P α (α)g(θ i,θ r ) 4 cos θ i F - the Fresnel equations, dependent of n and κ χ 1 - the characteristic function of the probability distribution of heights P 1 (z) P α (α) - the probability distribution of the slopes α G (θ i,θ r ) - shadowing-masking attenuation coefficient No Interference Shadowed Masked PTFE reflectance measurements, modeling and simulation for Xenon detectors p.15/31

16 PTFE Reflectance Distributions Dir.-Conical Reflectance (sr 1 ) Skived PTFE nm θ i = Dir.-Conical Reflectance (sr 1 ) Molded PTFE nm θ i = Viewing Angle θ r (deg) Viewing Angle θ r (deg) We observe three different components Diffuse Lobe Specular Lobe Specular Spike PTFE reflectance measurements, modeling and simulation for Xenon detectors p.16/31

17 The Specular Lobe The bivariate-cauchy has the best description γ is constant with θ i and decreases with λ. Dir.-Conical Reflectance (sr 1 ) Skived PTFE 175 nm 0 10 P (α) Cook-Torrance Trowbridge-Reitz Viewing Angle θ r (deg) Dir.-Conical Reflectance (sr 1 ) 10 1 Molded PTFE 470 nm P (α) Trowbridge-Reitz Bivariate Cauchy Viewing Angle θ r (deg) PTFE reflectance measurements, modeling and simulation for Xenon detectors p.17/31

18 The Specular Spike ρc/(ρc + ρl) The intensity of the specular spike (ρ c / (ρ c + ρ l )) changes with the roughness, wavelength of the light and angle of incidence exp ( K cos θ i ) P 1 gaussian 0.05 P 1 exponential ETFE PTFE cos θ i cos θ i The usual distributions p 1 do not describe the data. Λ = exp ( K cos θ i ) is an empirical function. EL ET PTFE reflectance measurements, modeling and simulation for Xenon detectors p.18/31

19 The Fits A global fit is applied to results with only three or four parameters. For the different samples we obtain λ = 175 nm n a d γ K refractive albedo sp. lobe spike index width intensity Skived PTFE 1.49± ± ± PTFE (not polished) 1.51± ± ± Extruded ( ) PTFE 1.50± ± ± ±0.3 Extruded ( ) PTFE 1.46± ± ± ±0.5 Molded PTFE 1.45± ± ± ±0.2 PTFE reflectance measurements, modeling and simulation for Xenon detectors p.19/31

20 The Hemispherical Reflectances Directional-Hemispherical Direc.-Hemis. Ref PTFE Polished 175 nm Total Reflectance Diffuse Lobe Specular Spike 0.2 Specular Lobe Angle of Incidence θ i (deg) Bi-Hemispherical Reflectance Diffuse. S. Lobe S. Spike Total Skived PTFE 0.488± ± ±0.007 Molded Polished 0.625± ± ± ±0.04 PTFE reflectance measurements, modeling and simulation for Xenon detectors p.20/31

21 Geant 4 - Current The current descriptions (Unified and Glisur) do not agree in many ways with our measurements Diffuse lobe proportional to the reflected light The intensity of the specular spike is independent of the angle of incidence It is restricted to gaussian statistics The shadowing and masking are not fully considered PTFE reflectance measurements, modeling and simulation for Xenon detectors p.21/31

22 Geant 4 - New This model of reflection was included in the Geant4 as new method of the class G4BoundaryProcess. Inverse cumulative functions are used to generate the direction of both the diffuse reflected and specularly reflected light. Reflectance (sr 1 ) Angle of reflection θ r (deg) Angle of reflection θ r (deg) PTFE reflectance measurements, modeling and simulation for Xenon detectors p.22/31

23 Reflection in a Liquid Interface The reflectance obtained in the gas/ptfe is between 60-80%. There are strong indications that the reflectance in the liquid xenon is much higher (>80%). The liquid xenon has a higher index of refraction (n 1.69) comparatively to the air or vacuum PTFE reflectance measurements, modeling and simulation for Xenon detectors p.23/31

24 Reflection in a Liquid Interface Gas/Vacuum LXe Gas/Vacuum LXe absorption Fresnel Reflectance n(ptfe)=1.5 n(lxe)=1.69 gas-to-ptfe liquid-to-ptfe Angle of incidence θ i (deg) Angle of incidence θ i (deg) n(ptfe)=1.5 n(lxe)=1.69 PTFE-to-gas PTFE-to-liquid PTFE reflectance measurements, modeling and simulation for Xenon detectors p.24/31

25 Reflection in a Liquid Interface Gas/Vacuum LXe Gas/Vacuum LXe absorption In the liquid: The internal reflection probability is smaller. Less light returns to the bulk to be internally scattered where it can be eventually absorbed. The multiple-diffuse albedo a d will be larger. PTFE reflectance measurements, modeling and simulation for Xenon detectors p.25/31

26 Reflection in a Liquid Interface R(θi),2π Gas or Vaccum PTFE Polished 175 nm Total Reflectance Diffuse Lobe Specular Spike 0.2 Specular Lobe Angle of Incidence θ i (deg) R(θi),2π Liquid/PTFE Total Reflecance Diffuse Lobe Specular Lobe Specular Spike Angle of Incidence θ i (deg) Diffuse Lobe Specular Lobe Specular Spike Total Ref Gas Liq. Gas Liq. Gas Liq. Gas Liq. Skived PTFE Molded PTFE PTFE reflectance measurements, modeling and simulation for Xenon detectors p.26/31

27 Conclusion We developped an angle resolution system to measure the reflectance distribution in vacuum. The reflectance distribution of the PTFE is composed by three contributions (diffuse lobe, specular lobe and specular spike). Four free parameters reproduces fairly well the details of the measured reflectance distributions. A new simulation of the reflectance processes was included in Geant-4 The reflectance distributions were estimated to a Liquid-PTFE interface. PTFE reflectance measurements, modeling and simulation for Xenon detectors p.27/31

28 Thank you! PTFE reflectance measurements, modeling and simulation for Xenon detectors p.28/31

29 Surface Statistics h (x, y) the height function z = h (x,y) h (x,y) =0 P 2 (z,z ), bivariate distribution of heights h (µm) P 2 (z,z 1 ) = exp 2π[1 C(τ,T)]σh x (µm) } { z2 2C(τ,T)zz +z 2 2σh 2[1 C(τ,T)] C (r, T) correlation function C = 1 h (x σh 2 1,y 1 ),h(x 2,y 2 ) i θ i θ i n α n θ r θ r V P α (α,σ α ) - slope distribution φ r PTFE reflectance measurements, modeling and simulation for Xenon detectors p.29/31

30 The Specular Reflection in a Rough Surface A complex diffraction problem ρ = R2 cos 2 θ cosθ i λ 2 0 χ 2 (τ) J 0 (k z τ) τdτ χ 2 is the characteristic function of P 2 For a bivariate gaussian distribution ρ = E2 0 R2 cos 2 θ { χ λ 2 1 χ 1 J 0 (k z τ) τdτ 0 k 2n } z + σ2n h [C (τ,t)] n J 0 (k z τ) τdτ n! n=1 0 PTFE reflectance measurements, modeling and simulation for Xenon detectors p.30/31

31 The Diffuse Component Incident light diffuse light Internal reflection Internal scattering absorption ρ d = a d π cosθ rυ (θ i,θ r,φ) [1 F (θ i, )] [1 F (θ r )] The light is scattered isotropically in the bulk. The Fresnel factors account with the two refractions of the light, Air-to-PTFE and PTFE-to-Air. a d is the multiple-diffuse albedo of the surface. Oren-Nayar factor Υ accounts for the roughness of the surface. PTFE reflectance measurements, modeling and simulation for Xenon detectors p.31/31

Reflectance of the Teflon R for ultraviolet light

Reflectance of the Teflon R for ultraviolet light Reflectance of the Teflon R for ultraviolet light Cláudio Silva, José Pinto da Cunha Vitaly Chepel, Américo Pereira Vladimir Solovov, Paulo Mendes M. Isabel Lopes, Francisco Neves Reflectance of the Teflon

More information

Local Reflection Models

Local Reflection Models Local Reflection Models Illumination Thus Far Simple Illumination Models Ambient + Diffuse + Attenuation + Specular Additions Texture, Shadows, Used in global algs! (Ray tracing) Problem: Different materials

More information

DIRS Technical Report Tech Report #

DIRS Technical Report Tech Report # Rochester Institute of Technology Technical Memorandum Topic: NEFDS Beard-Maxwell BRDF Model Implementation in Matlab Primary Author: Matt Montanaro Collaborators: Carl Salvaggio Scott Brown David Messinger

More information

Reflection models and radiometry Advanced Graphics

Reflection models and radiometry Advanced Graphics Reflection models and radiometry Advanced Graphics Rafał Mantiuk Computer Laboratory, University of Cambridge Applications To render realistic looking materials Applications also in computer vision, optical

More information

Computer Vision Systems. Viewing Systems Projections Illuminations Rendering Culling and Clipping Implementations

Computer Vision Systems. Viewing Systems Projections Illuminations Rendering Culling and Clipping Implementations Computer Vision Systems Viewing Systems Projections Illuminations Rendering Culling and Clipping Implementations Viewing Systems Viewing Transformation Projective Transformation 2D Computer Graphics Devices

More information

Illumination and Shading - II

Illumination and Shading - II Illumination and Shading - II Computer Graphics COMP 770 (236) Spring 2007 Instructor: Brandon Lloyd 2/19/07 1 From last time Light Sources Empirical Illumination Shading Local vs Global Illumination 2/19/07

More information

Measuring Reflective Properties of PTFE for Applications in Liquid Xenon Detectors

Measuring Reflective Properties of PTFE for Applications in Liquid Xenon Detectors Measuring Reflective Properties of PTFE for Applications in Liquid Xenon Detectors Catherine Lussenhop Columbia University, Department of Physics August 6, 2010 Abstract The XENON100 experiment uses 161kg

More information

INFOGR Computer Graphics. J. Bikker - April-July Lecture 10: Shading Models. Welcome!

INFOGR Computer Graphics. J. Bikker - April-July Lecture 10: Shading Models. Welcome! INFOGR Computer Graphics J. Bikker - April-July 2016 - Lecture 10: Shading Models Welcome! Today s Agenda: Introduction Light Transport Materials Sensors Shading INFOGR Lecture 10 Shading Models 3 Introduction

More information

CSE 681 Illumination and Phong Shading

CSE 681 Illumination and Phong Shading CSE 681 Illumination and Phong Shading Physics tells us What is Light? We don t see objects, we see light reflected off of objects Light is a particle and a wave The frequency of light What is Color? Our

More information

Geometrical modeling of light scattering from paper substrates

Geometrical modeling of light scattering from paper substrates Geometrical modeling of light scattering from paper substrates Peter Hansson Department of Engineering ciences The Ångström Laboratory, Uppsala University Box 534, E-75 Uppsala, weden Abstract A light

More information

Ghost and Stray Light Analysis using TracePro. February 2012 Webinar

Ghost and Stray Light Analysis using TracePro. February 2012 Webinar Ghost and Stray Light Analysis using TracePro February 2012 Webinar Moderator: Andy Knight Technical Sales Manager Lambda Research Corporation Presenter: Michael Gauvin Vice President of Sales Lambda Research

More information

Lecture 4: Reflection Models

Lecture 4: Reflection Models Lecture 4: Reflection Models CS 660, Spring 009 Kavita Bala Computer Science Cornell University Outline Light sources Light source characteristics Types of sources Light reflection Physics-based models

More information

Light. Electromagnetic wave with wave-like nature Refraction Interference Diffraction

Light. Electromagnetic wave with wave-like nature Refraction Interference Diffraction Light Electromagnetic wave with wave-like nature Refraction Interference Diffraction Light Electromagnetic wave with wave-like nature Refraction Interference Diffraction Photons with particle-like nature

More information

Reflectance Models (BRDF)

Reflectance Models (BRDF) Reflectance Models (BRDF) 1996-2017 Josef Pelikán CGG MFF UK Praha pepca@cgg.mff.cuni.cz http://cgg.mff.cuni.cz/~pepca/ BRDF 2017 Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 1 / 62 Light travels through

More information

Fundamentals of Rendering - Reflectance Functions

Fundamentals of Rendering - Reflectance Functions Fundamentals of Rendering - Reflectance Functions Image Synthesis Torsten Möller Mike Phillips Reading Chapter 8 of Physically Based Rendering by Pharr&Humphreys Chapter 16 in Foley, van Dam et al. Chapter

More information

Optical Photon Processes

Optical Photon Processes Optical Photon Processes GEANT4 is an effective and comprehensive tool capable of realistically modeling the optics of scintillation and Cerenkov detectors and their associated light guides. This is founded

More information

And if that 120MP Camera was cool

And if that 120MP Camera was cool Reflectance, Lights and on to photometric stereo CSE 252A Lecture 7 And if that 120MP Camera was cool Large Synoptic Survey Telescope 3.2Gigapixel camera 189 CCD s, each with 16 megapixels Pixels are 10µm

More information

Lighting and Reflectance COS 426

Lighting and Reflectance COS 426 ighting and Reflectance COS 426 Ray Casting R2mage *RayCast(R3Scene *scene, int width, int height) { R2mage *image = new R2mage(width, height); for (int i = 0; i < width; i++) { for (int j = 0; j < height;

More information

Phys 102 Lecture 17 Introduction to ray optics

Phys 102 Lecture 17 Introduction to ray optics Phys 102 Lecture 17 Introduction to ray optics 1 Physics 102 lectures on light Light as a wave Lecture 15 EM waves Lecture 16 Polarization Lecture 22 & 23 Interference & diffraction Light as a ray Lecture

More information

Radiometry & BRDFs CS295, Spring 2017 Shuang Zhao

Radiometry & BRDFs CS295, Spring 2017 Shuang Zhao Radiometry & BRDFs CS295, Spring 2017 Shuang Zhao Computer Science Department University of California, Irvine CS295, Spring 2017 Shuang Zhao 1 Today s Lecture Radiometry Physics of light BRDFs How materials

More information

Fundamentals of Rendering - Reflectance Functions

Fundamentals of Rendering - Reflectance Functions Fundamentals of Rendering - Reflectance Functions CMPT 461/761 Image Synthesis Torsten Möller Reading Chapter 8 of Physically Based Rendering by Pharr&Humphreys Chapter 16 in Foley, van Dam et al. Chapter

More information

Timothy Walsh. Reflection Models

Timothy Walsh. Reflection Models Timothy Walsh Reflection Models Outline Reflection Models Geometric Setting Fresnel Reflectance Specular Refletance & Transmission Microfacet Models Lafortune Model Fresnel Incidence Effects Diffuse Scatter

More information

CS 5625 Lec 2: Shading Models

CS 5625 Lec 2: Shading Models CS 5625 Lec 2: Shading Models Kavita Bala Spring 2013 Shading Models Chapter 7 Next few weeks Textures Graphics Pipeline Light Emission To compute images What are the light sources? Light Propagation Fog/Clear?

More information

Philpot & Philipson: Remote Sensing Fundamentals Interactions 3.1 W.D. Philpot, Cornell University, Fall 12

Philpot & Philipson: Remote Sensing Fundamentals Interactions 3.1 W.D. Philpot, Cornell University, Fall 12 Philpot & Philipson: Remote Sensing Fundamentals Interactions 3.1 W.D. Philpot, Cornell University, Fall 1 3. EM INTERACTIONS WITH MATERIALS In order for an object to be sensed, the object must reflect,

More information

Lecture 15: Shading-I. CITS3003 Graphics & Animation

Lecture 15: Shading-I. CITS3003 Graphics & Animation Lecture 15: Shading-I CITS3003 Graphics & Animation E. Angel and D. Shreiner: Interactive Computer Graphics 6E Addison-Wesley 2012 Objectives Learn that with appropriate shading so objects appear as threedimensional

More information

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ =

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ = Radiometry (From Intro to Optics, Pedrotti -4) Radiometry is measurement of Emag radiation (light) Consider a small spherical source Total energy radiating from the body over some time is Q total Radiant

More information

Illumination. Michael Kazhdan ( /657) HB Ch. 14.1, 14.2 FvDFH 16.1, 16.2

Illumination. Michael Kazhdan ( /657) HB Ch. 14.1, 14.2 FvDFH 16.1, 16.2 Illumination Michael Kazhdan (601.457/657) HB Ch. 14.1, 14.2 FvDFH 16.1, 16.2 Ray Casting Image RayCast(Camera camera, Scene scene, int width, int height) { Image image = new Image(width, height); for

More information

Announcement. Lighting and Photometric Stereo. Computer Vision I. Surface Reflectance Models. Lambertian (Diffuse) Surface.

Announcement. Lighting and Photometric Stereo. Computer Vision I. Surface Reflectance Models. Lambertian (Diffuse) Surface. Lighting and Photometric Stereo CSE252A Lecture 7 Announcement Read Chapter 2 of Forsyth & Ponce Might find section 12.1.3 of Forsyth & Ponce useful. HW Problem Emitted radiance in direction f r for incident

More information

GEOG 4110/5100 Advanced Remote Sensing Lecture 2

GEOG 4110/5100 Advanced Remote Sensing Lecture 2 GEOG 4110/5100 Advanced Remote Sensing Lecture 2 Data Quality Radiometric Distortion Radiometric Error Correction Relevant reading: Richards, sections 2.1 2.8; 2.10.1 2.10.3 Data Quality/Resolution Spatial

More information

Overview. Radiometry and Photometry. Foundations of Computer Graphics (Spring 2012)

Overview. Radiometry and Photometry. Foundations of Computer Graphics (Spring 2012) Foundations of Computer Graphics (Spring 2012) CS 184, Lecture 21: Radiometry http://inst.eecs.berkeley.edu/~cs184 Overview Lighting and shading key in computer graphics HW 2 etc. ad-hoc shading models,

More information

Illumination & Shading

Illumination & Shading Illumination & Shading Goals Introduce the types of light-material interactions Build a simple reflection model---the Phong model--- that can be used with real time graphics hardware Why we need Illumination

More information

Shading I Computer Graphics I, Fall 2008

Shading I Computer Graphics I, Fall 2008 Shading I 1 Objectives Learn to shade objects ==> images appear threedimensional Introduce types of light-material interactions Build simple reflection model Phong model Can be used with real time graphics

More information

Comp 410/510 Computer Graphics. Spring Shading

Comp 410/510 Computer Graphics. Spring Shading Comp 410/510 Computer Graphics Spring 2017 Shading Why we need shading Suppose we build a model of a sphere using many polygons and then color it using a fixed color. We get something like But we rather

More information

Optics Vac Work MT 2008

Optics Vac Work MT 2008 Optics Vac Work MT 2008 1. Explain what is meant by the Fraunhofer condition for diffraction. [4] An aperture lies in the plane z = 0 and has amplitude transmission function T(y) independent of x. It is

More information

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ =

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ = Radiometry (From Intro to Optics, Pedrotti -4) Radiometry is measurement of Emag radiation (light) Consider a small spherical source Total energy radiating from the body over some time is Q total Radiant

More information

D&S Technical Note 09-2 D&S A Proposed Correction to Reflectance Measurements of Profiled Surfaces. Introduction

D&S Technical Note 09-2 D&S A Proposed Correction to Reflectance Measurements of Profiled Surfaces. Introduction Devices & Services Company 10290 Monroe Drive, Suite 202 - Dallas, Texas 75229 USA - Tel. 214-902-8337 - Fax 214-902-8303 Web: www.devicesandservices.com Email: sales@devicesandservices.com D&S Technical

More information

specular diffuse reflection.

specular diffuse reflection. Lesson 8 Light and Optics The Nature of Light Properties of Light: Reflection Refraction Interference Diffraction Polarization Dispersion and Prisms Total Internal Reflection Huygens s Principle The Nature

More information

BRDF profile of Tyvek and its implementation in the Geant4 simulation toolkit

BRDF profile of Tyvek and its implementation in the Geant4 simulation toolkit BRDF profile of Tyvek and its implementation in the Geant4 simulation toolkit Libor Nozka,* Miroslav Pech, Helena Hiklova, Dusan Mandat, Miroslav Hrabovsky, Petr Schovanek and Miroslav Palatka Regional

More information

Ray Optics. Lecture 23. Chapter 23. Physics II. Course website:

Ray Optics. Lecture 23. Chapter 23. Physics II. Course website: Lecture 23 Chapter 23 Physics II Ray Optics Course website: http://faculty.uml.edu/andriy_danylov/teaching/physicsii Let s finish talking about a diffraction grating Diffraction Grating Let s improve (more

More information

Physics 202, Lecture 23

Physics 202, Lecture 23 Physics 202, Lecture 23 Today s Topics Lights and Laws of Geometric Optics Nature of Light Reflection and Refraction Law of Reflection Law of Refraction Index of Reflection, Snell s Law Total Internal

More information

Radiometry. Reflectance & Lighting. Solid Angle. Radiance. Radiance Power is energy per unit time

Radiometry. Reflectance & Lighting. Solid Angle. Radiance. Radiance Power is energy per unit time Radiometry Reflectance & Lighting Computer Vision I CSE5A Lecture 6 Read Chapter 4 of Ponce & Forsyth Homework 1 Assigned Outline Solid Angle Irradiance Radiance BRDF Lambertian/Phong BRDF By analogy with

More information

Shading & Material Appearance

Shading & Material Appearance Shading & Material Appearance ACM. All rights reserved. This content is excluded from our Creative Commons license. For more information, see http://ocw.mit.edu/help/faq-fair-use/. MIT EECS 6.837 Matusik

More information

6-1 LECTURE #6: OPTICAL PROPERTIES OF SOLIDS. Basic question: How do solids interact with light? The answers are linked to:

6-1 LECTURE #6: OPTICAL PROPERTIES OF SOLIDS. Basic question: How do solids interact with light? The answers are linked to: LECTURE #6: OPTICAL PROPERTIES OF SOLIDS Basic question: How do solids interact with light? The answers are linked to: Properties of light inside a solid Mechanisms behind light reflection, absorption

More information

Agilent Cary Universal Measurement Spectrophotometer (UMS)

Agilent Cary Universal Measurement Spectrophotometer (UMS) Agilent Cary Universal Measurement Spectrophotometer (UMS) See what you ve been missing Date: 13 th May 2013 TRAVIS BURT UV-VIS-NIR PRODUCT MANAGER AGILENT TECHNOLOGIES 1 Agenda Introducing the Cary 7000

More information

CENG 477 Introduction to Computer Graphics. Ray Tracing: Shading

CENG 477 Introduction to Computer Graphics. Ray Tracing: Shading CENG 477 Introduction to Computer Graphics Ray Tracing: Shading Last Week Until now we learned: How to create the primary rays from the given camera and image plane parameters How to intersect these rays

More information

Topic 2: Reflection 1

Topic 2: Reflection 1 Topic 2: Reflection 1 Topic 2b: Reflectance (Why the way you look affects what you see) http://nobaproject.com/modules/failures-of-awareness-the-case-of-inattentional-blindness The major points: The apparent

More information

A question from Piazza

A question from Piazza Radiometry, Reflectance, Lights CSE 252A Lecture 6 A question from Piazza 1 Announcements HW1 posted HWO graded, will be returned today If anyone has any registration issues, talk to me. Appearance: lighting,

More information

Draft from Graphical Models and Image Processing, vol. 58, no. 5, September Reflectance Analysis for 3D Computer Graphics Model Generation

Draft from Graphical Models and Image Processing, vol. 58, no. 5, September Reflectance Analysis for 3D Computer Graphics Model Generation page 1 Draft from Graphical Models and Image Processing, vol. 58, no. 5, September 1996 Reflectance Analysis for 3D Computer Graphics Model Generation Running head: Reflectance Analysis for 3D CG Model

More information

Transmission Electron Microscopy 2. Scattering and Diffraction

Transmission Electron Microscopy 2. Scattering and Diffraction Transmission Electron Microscopy 2. Scattering and Diffraction EMA 6518 Spring 2007 01/07 Outline Why are we interested in electron scattering? Terminology of scattering The characteristics of electron

More information

Surface Reflection Models

Surface Reflection Models Surface Reflection Models Frank Losasso (flosasso@nvidia.com) Introduction One of the fundamental topics in lighting is how the light interacts with the environment. The academic community has researched

More information

EE Light & Image Formation

EE Light & Image Formation EE 576 - Light & Electric Electronic Engineering Bogazici University January 29, 2018 EE 576 - Light & EE 576 - Light & The image of a three-dimensional object depends on: 1. Shape 2. Reflectance properties

More information

Properties of Light I

Properties of Light I Properties of Light I Light definition Light Spectrum Wavelength in nm (1nm = 10-7 cm) Visible/White Light Cosmic Gamma X-Rays Ultra Violet Infra Red Micro Waves Radio Waves 1 Theory of Light Two complimentary

More information

Retrieval of optical and microphysical properties of ocean constituents using polarimetric remote sensing

Retrieval of optical and microphysical properties of ocean constituents using polarimetric remote sensing Retrieval of optical and microphysical properties of ocean constituents using polarimetric remote sensing Presented by: Amir Ibrahim Optical Remote Sensing Laboratory, The City College of the City University

More information

Radiometry. Radiometry. Measuring Angle. Solid Angle. Radiance

Radiometry. Radiometry. Measuring Angle. Solid Angle. Radiance Radiometry Radiometry Computer Vision I CSE5A ecture 5-Part II Read Chapter 4 of Ponce & Forsyth Solid Angle Irradiance Radiance BRDF ambertian/phong BRDF Measuring Angle Solid Angle By analogy with angle

More information

Capturing light. Source: A. Efros

Capturing light. Source: A. Efros Capturing light Source: A. Efros Review Pinhole projection models What are vanishing points and vanishing lines? What is orthographic projection? How can we approximate orthographic projection? Lenses

More information

COMPUTER SIMULATION TECHNIQUES FOR ACOUSTICAL DESIGN OF ROOMS - HOW TO TREAT REFLECTIONS IN SOUND FIELD SIMULATION

COMPUTER SIMULATION TECHNIQUES FOR ACOUSTICAL DESIGN OF ROOMS - HOW TO TREAT REFLECTIONS IN SOUND FIELD SIMULATION J.H. Rindel, Computer simulation techniques for the acoustical design of rooms - how to treat reflections in sound field simulation. ASVA 97, Tokyo, 2-4 April 1997. Proceedings p. 201-208. COMPUTER SIMULATION

More information

Reflective Illumination for DMS 803 / 505

Reflective Illumination for DMS 803 / 505 APPLICATION NOTE // Dr. Michael E. Becker Reflective Illumination for DMS 803 / 505 DHS, SDR, VADIS, PID & PLS The instruments of the DMS 803 / 505 series are precision goniometers for directional scanning

More information

Light. Form of Electromagnetic Energy Only part of Electromagnetic Spectrum that we can really see

Light. Form of Electromagnetic Energy Only part of Electromagnetic Spectrum that we can really see Light Form of Electromagnetic Energy Only part of Electromagnetic Spectrum that we can really see Facts About Light The speed of light, c, is constant in a vacuum. Light can be: REFLECTED ABSORBED REFRACTED

More information

1. Particle Scattering. Cogito ergo sum, i.e. Je pense, donc je suis. - René Descartes

1. Particle Scattering. Cogito ergo sum, i.e. Je pense, donc je suis. - René Descartes 1. Particle Scattering Cogito ergo sum, i.e. Je pense, donc je suis. - René Descartes Generally gas and particles do not scatter isotropically. The phase function, scattering efficiency, and single scattering

More information

Condenser Optics for Dark Field X-Ray Microscopy

Condenser Optics for Dark Field X-Ray Microscopy Condenser Optics for Dark Field X-Ray Microscopy S. J. Pfauntsch, A. G. Michette, C. J. Buckley Centre for X-Ray Science, Department of Physics, King s College London, Strand, London WC2R 2LS, UK Abstract.

More information

Local Illumination. CMPT 361 Introduction to Computer Graphics Torsten Möller. Machiraju/Zhang/Möller

Local Illumination. CMPT 361 Introduction to Computer Graphics Torsten Möller. Machiraju/Zhang/Möller Local Illumination CMPT 361 Introduction to Computer Graphics Torsten Möller Graphics Pipeline Hardware Modelling Transform Visibility Illumination + Shading Perception, Interaction Color Texture/ Realism

More information

Deterministic microlens diffuser for Lambertian scatter

Deterministic microlens diffuser for Lambertian scatter Deterministic microlens diffuser for Lambertian scatter Tasso R. M. Sales, Donald J. Schertler, and Stephen Chakmakjian RPC Photonics, Inc. 330 Clay Road, Rochester, New York 14623 Phone: 585-272-2840

More information

Materials & Shadows. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Winter 2017

Materials & Shadows. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Winter 2017 Materials & Shadows Steve Rotenberg CSE168: Rendering Algorithms UCSD, Winter 2017 Diffuse Surfaces In an earlier lecture, we discussed diffuse surfaces We looked at the idealized Lambertian diffuse case

More information

Illumination in Computer Graphics

Illumination in Computer Graphics Illumination in Computer Graphics Ann McNamara Illumination in Computer Graphics Definition of light sources. Analysis of interaction between light and objects in a scene. Rendering images that are faithful

More information

RCS CALCUATIONS USING THE PHYSICAL OPTICS CODES

RCS CALCUATIONS USING THE PHYSICAL OPTICS CODES RCS CALCATIONS SING THE PHYSICAL OPTICS CODES Introduction Physical optics based RCS calculations are performed by the two Matlab computer codes:. pofacets.m. pobistatic.m The first code (pofacets.m )

More information

Deliverable D10.2. WP10 JRA04 INDESYS Innovative solutions for nuclear physics detectors

Deliverable D10.2. WP10 JRA04 INDESYS Innovative solutions for nuclear physics detectors MS116 Characterization of light production, propagation and collection for both organic and inorganic scintillators D10.2 R&D on new and existing scintillation materials: Report on the light production,

More information

Understanding the Masking-Shadowing Function in Microfacet-Based BRDFs

Understanding the Masking-Shadowing Function in Microfacet-Based BRDFs http://jcgt.org Understanding the Masking-Shadowing Function in Microfacet-Based BRDFs Eric Heitz INRIA ; CNRS ; Univ. Grenoble Alpes Abstract We provide a new presentation of the masking-shadowing functions

More information

Global Illumination. CMPT 361 Introduction to Computer Graphics Torsten Möller. Machiraju/Zhang/Möller

Global Illumination. CMPT 361 Introduction to Computer Graphics Torsten Möller. Machiraju/Zhang/Möller Global Illumination CMPT 361 Introduction to Computer Graphics Torsten Möller Reading Foley, van Dam (better): Chapter 16.7-13 Angel: Chapter 5.11, 11.1-11.5 2 Limitation of local illumination A concrete

More information

BRDFs. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017

BRDFs. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 BRDFs Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 The Rendering Equation Radiance Radiance is a measure of the quantity of light radiation reflected (and/or emitted) from a surface within

More information

Ray Optics. Lecture 23. Chapter 34. Physics II. Course website:

Ray Optics. Lecture 23. Chapter 34. Physics II. Course website: Lecture 23 Chapter 34 Physics II Ray Optics Course website: http://faculty.uml.edu/andriy_danylov/teaching/physicsii Today we are going to discuss: Chapter 34: Section 34.1-3 Ray Optics Ray Optics Wave

More information

New Scatterometer for Spatial Distribution Measurements of Light Scattering from Materials

New Scatterometer for Spatial Distribution Measurements of Light Scattering from Materials 10.2478/v10048-012-0012-y MEASUREMENT SCIENCE REVIEW, Volume 12, No. 2, 2012 New Scatterometer for Spatial Distribution Measurements of Light Scattering from Materials 1,3 E. Kawate, 1,2 M. Hain 1 AIST,

More information

2/1/10. Outline. The Radiance Equation. Light: Flux Equilibrium. Light: Radiant Power. Light: Equation. Radiance. Jan Kautz

2/1/10. Outline. The Radiance Equation. Light: Flux Equilibrium. Light: Radiant Power. Light: Equation. Radiance. Jan Kautz Outline Jan Kautz Basic terms in radiometry Radiance Reflectance The operator form of the radiance equation Meaning of the operator form Approximations to the radiance equation 2005 Mel Slater, 2006 Céline

More information

LIGHT SCATTERING THEORY

LIGHT SCATTERING THEORY LIGHT SCATTERING THEORY Laser Diffraction (Static Light Scattering) When a Light beam Strikes a Particle Some of the light is: Diffracted Reflected Refracted Absorbed and Reradiated Reflected Refracted

More information

X-ray Optics. How do we form an X-Ray Image?

X-ray Optics. How do we form an X-Ray Image? X-ray Optics X-Ray Astronomy School V 6 August 2007 Dan Schwartz SAO/CXC How do we form an X-Ray Image? B1509-58 1E0658 Cen A This talk is X-rayted. You must be 2 light-nanoseconds tall for admittance

More information

2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing. Monte Carlo Simulation

2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing. Monte Carlo Simulation 2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing Curtis Mobley Monte Carlo Simulation Delivered at the Darling Marine Center, University of Maine July 2017 Copyright 2017 by Curtis

More information

Lighting affects appearance

Lighting affects appearance Lighting affects appearance 1 Source emits photons Light And then some reach the eye/camera. Photons travel in a straight line When they hit an object they: bounce off in a new direction or are absorbed

More information

Radiance. Radiance properties. Radiance properties. Computer Graphics (Fall 2008)

Radiance. Radiance properties. Radiance properties. Computer Graphics (Fall 2008) Computer Graphics (Fall 2008) COMS 4160, Lecture 19: Illumination and Shading 2 http://www.cs.columbia.edu/~cs4160 Radiance Power per unit projected area perpendicular to the ray per unit solid angle in

More information

Understanding Variability

Understanding Variability Understanding Variability Why so different? Light and Optics Pinhole camera model Perspective projection Thin lens model Fundamental equation Distortion: spherical & chromatic aberration, radial distortion

More information

Chapter 24. Wave Optics. Wave Optics. The wave nature of light is needed to explain various phenomena

Chapter 24. Wave Optics. Wave Optics. The wave nature of light is needed to explain various phenomena Chapter 24 Wave Optics Wave Optics The wave nature of light is needed to explain various phenomena Interference Diffraction Polarization The particle nature of light was the basis for ray (geometric) optics

More information

Simple Lighting/Illumination Models

Simple Lighting/Illumination Models Simple Lighting/Illumination Models Scene rendered using direct lighting only Photograph Scene rendered using a physically-based global illumination model with manual tuning of colors (Frederic Drago and

More information

Introduction to Computer Graphics 7. Shading

Introduction to Computer Graphics 7. Shading Introduction to Computer Graphics 7. Shading National Chiao Tung Univ, Taiwan By: I-Chen Lin, Assistant Professor Textbook: Hearn and Baker, Computer Graphics, 3rd Ed., Prentice Hall Ref: E.Angel, Interactive

More information

FOOT de/dx detector: simulation report

FOOT de/dx detector: simulation report FOOT de/dx detector: simulation report Matteo Bertazzoni, Maria Giuseppina Bisogni, Esther Ciarrocchi e Matteo Morrocchi February 16, 2017 1 Introduction The goals of the de/dx detector group are to determine

More information

Topic 9: Lighting & Reflection models 9/10/2016. Spot the differences. Terminology. Two Components of Illumination. Ambient Light Source

Topic 9: Lighting & Reflection models 9/10/2016. Spot the differences. Terminology. Two Components of Illumination. Ambient Light Source Topic 9: Lighting & Reflection models Lighting & reflection The Phong reflection model diffuse component ambient component specular component Spot the differences Terminology Illumination The transport

More information

A Survey of Modelling and Rendering of the Earth s Atmosphere

A Survey of Modelling and Rendering of the Earth s Atmosphere Spring Conference on Computer Graphics 00 A Survey of Modelling and Rendering of the Earth s Atmosphere Jaroslav Sloup Department of Computer Science and Engineering Czech Technical University in Prague

More information

Control of Light. Emmett Ientilucci Digital Imaging and Remote Sensing Laboratory Chester F. Carlson Center for Imaging Science 8 May 2007

Control of Light. Emmett Ientilucci Digital Imaging and Remote Sensing Laboratory Chester F. Carlson Center for Imaging Science 8 May 2007 Control of Light Emmett Ientilucci Digital Imaging and Remote Sensing Laboratory Chester F. Carlson Center for Imaging Science 8 May 007 Spectro-radiometry Spectral Considerations Chromatic dispersion

More information

Path Tracing part 2. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017

Path Tracing part 2. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 Path Tracing part 2 Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 Monte Carlo Integration Monte Carlo Integration The rendering (& radiance) equation is an infinitely recursive integral

More information

MODULE 3. FACTORS AFFECTING 3D LASER SCANNING

MODULE 3. FACTORS AFFECTING 3D LASER SCANNING MODULE 3. FACTORS AFFECTING 3D LASER SCANNING Learning Outcomes: This module discusses factors affecting 3D laser scanner performance. Students should be able to explain the impact of various factors on

More information

Shading. Why we need shading. Scattering. Shading. Objectives

Shading. Why we need shading. Scattering. Shading. Objectives Shading Why we need shading Objectives Learn to shade objects so their images appear three-dimensional Suppose we build a model of a sphere using many polygons and color it with glcolor. We get something

More information

Chapter 24. Wave Optics. Wave Optics. The wave nature of light is needed to explain various phenomena

Chapter 24. Wave Optics. Wave Optics. The wave nature of light is needed to explain various phenomena Chapter 24 Wave Optics Wave Optics The wave nature of light is needed to explain various phenomena Interference Diffraction Polarization The particle nature of light was the basis for ray (geometric) optics

More information

Ray-Tracing. Misha Kazhdan

Ray-Tracing. Misha Kazhdan Ray-Tracing Misha Kazhdan Ray-Tracing In graphics, we often represent the surface of a 3D shape by a set of triangles. Goal: Ray-Tracing Take a collection of triangles representing a 3D scene and render

More information

Mahdi M. Bagher / Cyril Soler / Nicolas Holzschuch Maverick, INRIA Grenoble-Rhône-Alpes and LJK (University of Grenoble and CNRS)

Mahdi M. Bagher / Cyril Soler / Nicolas Holzschuch Maverick, INRIA Grenoble-Rhône-Alpes and LJK (University of Grenoble and CNRS) Mahdi M. Bagher / Cyril Soler / Nicolas Holzschuch Maverick, INRIA Grenoble-Rhône-Alpes and LJK (University of Grenoble and CNRS) Wide variety of materials characterized by surface reflectance and scattering

More information

Topic 9: Lighting & Reflection models. Lighting & reflection The Phong reflection model diffuse component ambient component specular component

Topic 9: Lighting & Reflection models. Lighting & reflection The Phong reflection model diffuse component ambient component specular component Topic 9: Lighting & Reflection models Lighting & reflection The Phong reflection model diffuse component ambient component specular component Spot the differences Terminology Illumination The transport

More information

rendering equation computer graphics rendering equation 2009 fabio pellacini 1

rendering equation computer graphics rendering equation 2009 fabio pellacini 1 rendering equation computer graphics rendering equation 2009 fabio pellacini 1 phsicall-based rendering snthesis algorithms that compute images b simulation the phsical behavior of light computer graphics

More information

Geant4 Studies for the HPD-PET scintillators

Geant4 Studies for the HPD-PET scintillators F. Ciocia, a A. Braem, b E. Chesi, b, a1 C. Joram, b L. Lagamba, a E. Nappi, a J. Séguinot, b I. Vilardi a and P. Weilhammer b a Physics Dept. and INFN Section of Bari, Via Orabona 4, Bari, Italy b CERN

More information

3/10/2019. Models of Light. Waves and wave fronts. Wave fronts and rays

3/10/2019. Models of Light. Waves and wave fronts. Wave fronts and rays Models of Light The wave model: Under many circumstances, light exhibits the same behavior as material waves. The study of light as a wave is called wave optics. The ray model: The properties of prisms,

More information

At the interface between two materials, where light can be reflected or refracted. Within a material, where the light can be scattered or absorbed.

At the interface between two materials, where light can be reflected or refracted. Within a material, where the light can be scattered or absorbed. At the interface between two materials, where light can be reflected or refracted. Within a material, where the light can be scattered or absorbed. The eye sees by focusing a diverging bundle of rays from

More information

Fig The light rays that exit the prism enter longitudinally into an astronomical telescope adjusted for infinite distance.

Fig The light rays that exit the prism enter longitudinally into an astronomical telescope adjusted for infinite distance. Romanian Master of Physics 07 Problem I Reflection and refraction of light A. An interesting prism The main section of a glass prism, situated in air n '.00, has the form of a rhomb with. A thin yellow

More information

Chapter 24. Wave Optics

Chapter 24. Wave Optics Chapter 24 Wave Optics Wave Optics The wave nature of light is needed to explain various phenomena Interference Diffraction Polarization The particle nature of light was the basis for ray (geometric) optics

More information

Chapter 13 RADIATION HEAT TRANSFER

Chapter 13 RADIATION HEAT TRANSFER Heat and Mass Transfer: Fundamentals & Applications Fourth Edition in SI Units Yunus A. Cengel, Afshin J. Ghajar McGraw-Hill, 2011 Chapter 13 RADIATION HEAT TRANSFER PM Dr Mazlan Abdul Wahid Universiti

More information

Related topics Interference, wavelength, refractive index, speed of light, phase, virtuallight source.

Related topics Interference, wavelength, refractive index, speed of light, phase, virtuallight source. Determination of the refractive index TEP Overview Related topics Interference, wavelength, refractive index, speed of light, phase, virtuallight source. Principle Light is brought to interference by two

More information