Scattering of Electromagnetic Waves by Particles

Total Page:16

File Type:pdf, Size:1020Kb

Scattering of Electromagnetic Waves by Particles MIE SCATTERING | COMPUTATIONAL ELECTROMAGNETICS AltaSim Technologies, OH, USA Scattering of Electromagnetic Waves by Particles Particles can be characterized by the unique scattering patterns produced by their interaction with electromagnetic waves. Optical scattering measurements cover a broad range of applications such as meteorology, particle sizing, biomedical, and metamaterials. BY SERGEI YUSHANOV, JEFFREY S. CROMPTON, AND KYLE C. KOPPENHOEFER, ALTASIM TECHNOLOGIES As electromagnetic waves propagate influence of particle geometry, the through matter they interact with angle of incidence of the wave, and particles or inhomogeneities that the particle material properties can perturb the local electron distribution. be investigated. This variation produces periodic In electromagnetic wave scattering charge separation within the particle, problems, the total wave decomposes causing oscillation of the induced into the incident and scattered wave local dipole moment. This periodic components. Important physical acceleration acts as a source of quantities can be obtained from the electromagnetic radiation, thus FIGURE 1. Electric field due to Mie scattered fields. One of these is the causing scattering. scattering of the incident wave in the cross section, which can be defined as x-direction showing enhanced scattering the net rate at which electromagnetic PARTICLE SIZE MATTERS in the forward direction. energy crosses the surface of an Scattering of electromagnetic waves imaginary sphere centered at the by particles can be illustrated by two particle, divided by the incident theoretical frameworks: Rayleigh Mie scattering differs from Rayleigh irradiation (Pinc). To quantify the scattering that is applicable to small, scattering in several respects: it is rate of the electromagnetic energy dielectric, non-absorbing spherical mostly independent of wavelength absorbed (Wabs) and scattered (Wsca) particles, and Mie scattering that and is larger in the forward direction by the particle, the absorption (sabs), provides a general solution to than in the reverse direction (see scattering (ssca), and extinction (sext) scattering that is independent Figure 1). The greater the particle cross sections are defined as: of particle size. Mie scattering size, the more light is scattered Wabs Wsca theory converges to the limit of forward. In addition to the many σabs = , σσsca ==, extaσσbs + sca P Pinc geometric optics at large particle atmospheric effects of light scattering, inc sizes. Consequently, Mie scattering applications of Mie scattering include The total absorbed energy is derived theory can be used to describe most environmental models such as dust by integrating the energy loss over the scattering by spherical particles, particles in the atmosphere and oil volume of the particle. The scattered including Rayleigh scattering, droplets in water, as well as medical energy is derived by integrating the but due to the complexity of technology used to measure cell nuclei Poynting vector over an imaginary implementation, Rayleigh scattering in biological systems or the collagen sphere around the particle. theory is often preferred. fibers in body tissue. The Rayleigh scattering model breaks down when the particle size MIE SCATTERING becomes larger than approximately Implementation of analytical solutions 10 percent of the wavelength of the for Mie scattering by a particle or incident radiation, at which point object is complex and requires solving Mie theory must be applied. The Mie Maxwell’s equations to represent solution is obtained by analytically the incident, scattered, and internal solving Maxwell’s equations for the fields. These take the form of infinite scattering of electromagnetic radiation series expansion of vector spherical by spherical particles; it is modeled in harmonics, allowing the cross sections, terms of infinite series rather than a efficiency factors, and distributions of FIGURE 2. Model geometry for Mie simple mathematical expression. intensity to be predicted. Further, the scattering by a spherical particle. 42 | COMSOL NEWS | 2014 MIE SCATTERING | COMPUTATIONAL ELECTROMAGNETICS COMPUTATIONAL to limit the extent of the model to a level of accuracy and optimizing usage ELECTROMAGNETICS manageable region of interest. The of computational resources. COMSOL A computational model of Mie solution inside the domain is not also supports far-field calculations, scattering was developed using affected by the presence of the PML, which are done on the inner boundary COMSOL Multiphysics® and its RF which lets the solution behave as if of the PML domain where the near Module. It solves for the scattering the domain was of infinite extent. This field is integrated. The surface S is used off of a dielectric, magnetic, or metal layer absorbs all outgoing wave energy to calculate total scattered energy. spherical particle with radius a. The without any impedance mismatch An incident plane wave travels in model geometry is shown in Figure 2. that could cause spurious reflections the positive x-direction (see Figure The air domain is truncated by a at the boundary. The PML is useful in 2), with the electric field polarized perfectly matched layer (PML) inserted maintaining the solution at the desired along the z-axis. Perfect magnetic conductor (PMC) and perfect electric conductor (PEC) boundary conditions are used on the x-z and x-y symmetry planes, respectively. The plane wave incident on the sphere is defined by its amplitude, wave vector in the air, and circular frequency. COMSOL conveniently provides all the necessary FIGURE 3. Cross-section parameters and radiation force for a dielectric particle with refractive index n = 5 – 0.4j and relative permeability µ = 1. FIGURE 6. Distribution of the z-component of the electric field due to scattering of the incident electromagnetic wave by a particle of 0.1µm radius. The arrows show the time-averaged power flow of the relative fields at a frequency of 950 THz. FIGURE 4. Cross-section parameters and radiation force for a magnetic particle with functionality to calculate scattering relative permittivity e = 1 and relative permeability µ = 8 – 2j. integrals. Scattering characteristics for the three types of particles considered are shown in Figures 3, 4, and 5. The results of the computational analysis show good agreement with available experimental results1. Simulation of Mie scattering problems enables visualization of the effects of small particles on an incident electromagnetic wave (see Figure 6) to allow better understanding of the interactions. n References 1Mätzler, C., MATLAB Functions for Mie Scattering and Absorption, Version 2, IAP Research Report, FIGURE 5. Cross-section parameters and radiation force for a silver particle with (Bern: InstitutfürangewandtePhysik, Universität, dielectric constants. 2001), No. 2002-11. COMSOL NEWS | 2014 | 43.
Recommended publications
  • An Atmospheric Radiation Model for Cerro Paranal
    Astronomy & Astrophysics manuscript no. nolletal2012a c ESO 2012 May 10, 2012 An atmospheric radiation model for Cerro Paranal I. The optical spectral range⋆ S. Noll1, W. Kausch1, M. Barden1, A. M. Jones1, C. Szyszka1, S. Kimeswenger1, and J. Vinther2 1 Institut f¨ur Astro- und Teilchenphysik, Universit¨at Innsbruck, Technikerstr. 25/8, 6020 Innsbruck, Austria e-mail: [email protected] 2 European Southern Observatory, Karl-Schwarzschild-Str. 2, 85748 Garching, Germany Received; accepted ABSTRACT Aims. The Earth’s atmosphere affects ground-based astronomical observations. Scattering, absorption, and radiation processes dete- riorate the signal-to-noise ratio of the data received. For scheduling astronomical observations it is, therefore, important to accurately estimate the wavelength-dependent effect of the Earth’s atmosphere on the observed flux. Methods. In order to increase the accuracy of the exposure time calculator of the European Southern Observatory’s (ESO) Very Large Telescope (VLT) at Cerro Paranal, an atmospheric model was developed as part of the Austrian ESO In-Kind contribution. It includes all relevant components, such as scattered moonlight, scattered starlight, zodiacal light, atmospheric thermal radiation and absorption, and non-thermal airglow emission. This paper focuses on atmospheric scattering processes that mostly affect the blue (< 0.55 µm) wavelength regime, and airglow emission lines and continuum that dominate the red (> 0.55 µm) wavelength regime. While the former is mainly investigated by means of radiative transfer models, the intensity and variability of the latter is studied with a sample of 1186 VLT FORS 1 spectra. Results. For a set of parameters such as the object altitude angle, Moon-object angular distance, ecliptic latitude, bimonthly period, and solar radio flux, our model predicts atmospheric radiation and transmission at a requested resolution.
    [Show full text]
  • Arxiv:1710.01658V1 [Physics.Optics] 4 Oct 2017 to Ask the Question “What Is the RI of the Small Parti- Cles Contained in the Inhomogeneous Sample?”
    Extinction spectra of suspensions of microspheres: Determination of spectral refractive index and particle size distribution with nanometer accuracy Jonas Gienger,∗ Markus Bär, and Jörg Neukammer Physikalisch-Technische Bundesanstalt (PTB), Abbestraße 2–12, 10587 Berlin, Germany (Dated: Compiled October 5, 2017) A method is presented to infer simultaneously the wavelength-dependent real refractive index (RI) of the material of microspheres and their size distribution from extinction measurements of particle suspensions. To derive the averaged spectral optical extinction cross section of the microspheres from such ensemble measurements, we determined the particle concentration by flow cytometry to an accuracy of typically 2% and adjusted the particle concentration to ensure that perturbations due to multiple scattering are negligible. For analysis of the extinction spectra we employ Mie theory, a series-expansion representation of the refractive index and nonlinear numerical optimization. In contrast to other approaches, our method offers the advantage to simultaneously determine size, size distribution and spectral refractive index of ensembles of microparticles including uncertainty estimation. I. INTRODUCTION can be inferred from measurements of the scattering and absorption of light by the particles. The refractive index (RI) describes the refraction of a A reference case is that of homogeneous spheres de- beam of light at a (macroscopic) interface between any scribed by a single refractive index, since an analytical two materials. Consequently, a variety of experimental solution for the mathematical problem of light scatter- methods exist for measuring the RI of a material that rely ing exists for this class of particles (Mie theory) [12, 13]. on the refraction or reflection of light at a planar interface This makes the analysis of light scattering data feasible between the sample and some other known material, such and at the same time is a good approximation for many as air, water or an optical glass.
    [Show full text]
  • 12 Light Scattering AQ1
    12 Light Scattering AQ1 Lev T. Perelman CONTENTS 12.1 Introduction ......................................................................................................................... 321 12.2 Basic Principles of Light Scattering ....................................................................................323 12.3 Light Scattering Spectroscopy ............................................................................................325 12.4 Early Cancer Detection with Light Scattering Spectroscopy .............................................326 12.5 Confocal Light Absorption and Scattering Spectroscopic Microscopy ............................. 329 12.6 Light Scattering Spectroscopy of Single Nanoparticles ..................................................... 333 12.7 Conclusions ......................................................................................................................... 335 Acknowledgment ........................................................................................................................... 335 References ...................................................................................................................................... 335 12.1 INTRODUCTION Light scattering in biological tissues originates from the tissue inhomogeneities such as cellular organelles, extracellular matrix, blood vessels, etc. This often translates into unique angular, polari- zation, and spectroscopic features of scattered light emerging from tissue and therefore information about tissue
    [Show full text]
  • Scattering and Absorption by Spherical Particles. Objectives: 1
    Lecture 15. Light scattering and absorption by atmospheric particulates. Part 2: Scattering and absorption by spherical particles. Objectives: 1. Maxwell equations. Wave equation. Dielectrical constants of a medium. 2. Mie-Debye theory. 3. Volume optical properties of an ensemble of particles. Required Reading : L02: 5.2, 3.3.2 Additional/Advanced Reading : Bohren, G.F., and D.R. Huffman, Absorption and scattering of light by small particles. John Wiley&Sons, 1983 (Mie theory derivation is given on pp.82-114, a hardcopy will be provided in class) 1. Maxwell equations. Wave equation. Dielectrical constants of a medium. r Maxwell equations connect the five basic quantities the electric vector, E , magnetic r r r vector, H , magnetic induction, B , electric displacement, D , and electric current r density, j : (in cgs system) r r 1 ∂D 4π r ∇ × H = + j c ∂t c r r − 1 ∂ B ∇ × E = [15.1] c ∂ t r ∇ • D = 4πρ r ∇ • B = 0 where c is a constant (wave velocity); and ρρρ is the electric charge density. To allow a unique determination of the electromagnetic field vectors, the Maxwell equations must be supplemented by relations which describe the behavior of substances under the influence of electromagnetic field. They are r r r r r r j = σ E D = ε E B = µ H [15.2] where σσσ is called the specific conductivity ; εεε is called the dielectrical constant (or the permittivity ), and µµµ is called the magnetic permeability. 1 Depending on the value of σ, the substances are divided into: conductors: σ ≠ 0 (i.e., σ is NOT negligibly small), (for instance, metals) dielectrics (or insulators): σ = 0 (i.e., σ is negligibly small), (for instance, air, aerosol and cloud particulates) Let consider the propagation of EM waves in a medium which is (a) uniform, so that ε has the same value at all points; (b) isotropic, so that ε is independent of the direction of propagation; (c) non-conducting (dielectric), so that σ = 0 and therefore j =0; (d) free from charge, so that ρρρ =0.
    [Show full text]
  • Rayleigh & Mie Scattering Cross Section Calculations And
    Rayleigh & Mie scattering cross section calculations and implications for weather radar observations 1 Learning Objectives The following are the learning objectives for this assignment: • Familiarize yourself with some basic concepts related to radio wave scattering, absorption, and radar cross sections • Become acquainted with some of the fundamental definitions and foundations connected with the Mie theory • Explore under what conditions the Rayleigh approximation can be applied and to what extent it accurately represents radio wave scatter and absorption • Study the dependence of various radar cross sections on wavelength and temperature 2 Introduction As electromagnetic radiation propagates though our atmosphere, it interacts with air molecules, dust particles, water vapor, rain, ice particles, insects, and a host of other entities. These interac- tions result primarily in the form of scatter and absorption, both of which are important for remote sensing studies of the atmosphere. Typically, the degree to which a “target” can scatter or absorb electromagnetic radiation is described through its cross section σ. When a target is illuminated by a wave having a power density (irradiance) given by Si, it will scatter/absorb a portion of the wave. The cross section represents an apparent area, used to describe by what amount the radiation interacts with the target. An observer located at a particular location (described by θ and φ with respect to the wave’s propagation vector) will be detect radiation scattered by the target with a power density given by by Sr. Assuming that the target has scattered the incident electromagnetic radiation isotropically, then the cross section σ can be directly calculated using S (θ; φ) σ(θ; φ) = 4πr2 r ; (1) Si where r is the distance between the target and the observer.
    [Show full text]
  • Measured Light-Scattering Properties of Individual Aerosol Particles Compared to Mie Scattering Theory
    Measured Light-Scattering Properties of Individual Aerosol Particles Compared to Mie Scattering Theory R. G. Pinnick, J. M. Rosen, and D. J. Hofmann Monodispersed spherical aerosols of 0.26-2-iu diameter with approximate range of indexes of refraction of atmospheric aerosols have been produced in the laboratory by atomization of liquids with a vibrating capillary. Integrated light scattered 8 through 38 degrees from the direction of forward scattering has been measured with a photoelectric particle counter and compared to Mie theory calculations for parti- cles with complex indexes of refraction 1.4033-Oi, 1.592-0i, 1.67-0.26i, and 1.65-0.069i. The agreement is good. The calculations take into account the particle counter white light illumination with color temper- ature 3300 K, the optical system geometry, and the phototube spectral sensitivity. It is shown that for aerosol particles of unknown index of refraction the particle counter size resolution is poor for particle size greater than 0.5 A,but good for particles in the 0.26-0.5-u size range. Introduction ed by the method of atomization of liquids using a vibrating capillary by Dimmock,4 Mason and Light-scattering aerosol counters have long been 5 6 used for aerosol measuirement. However, determina- Brownscombe, Strdm, and others. However, these tion of particle size from the counter response for efforts have not produced an aerosol of less than 1 u single particles is difficult because of the complicat- in diameter. With the technique described here, ed dependence of the response on particle size, parti- monodisperse aerosols of 0.26-2 At in diameter have cle index of refraction, lens geometry of the counter been generated.
    [Show full text]
  • Modeling Scattered Intensities for Multiple
    MODELING SCATTERED INTENSITIES FOR MULTIPLE PARTICLE TIRM USING MIE THEORY A Thesis by ADAM L. ALLEN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 2006 Major Subject: Biomedical Engineering MODELING SCATTERED INTENSITIES FOR MULTIPLE PARTICLE TIRM USING MIE THEORY A Thesis by ADAM L. ALLEN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Chair of Committee, Kenith Meissner Committee Members, Michael A. Bevan Gerard L. Coté Head of Department, Gerard L. Coté August 2006 Major Subject: Biomedical Engineering iii ABSTRACT Modeling Scattered Intensities for Multiple Particle TIRM Using Mie Theory. (August 2006) Adam L. Allen, B.S., Texas A&M University Chair of Advisory Committee: Dr. Kenith Meissner Single particle TIRM experiments measure particle-surface separation distance by tracking scattered intensities. The scattered light is generated by an evanescent wave interacting with a levitating microsphere. The exponential decay of the evanescent wave, normal to the surface, results in scattered intensities that vary with separation distance. Measurement of the separation distance allows us to calculate the total potential energy profile acting on the particles. These experiments have been shown to exhibit nanometer spatial resolution and the ability to detect potentials on the order of kT with no external treatment of the particle. We find that the separation distance is a function of the decay of the evanescent wave and the size of the sphere.
    [Show full text]
  • Computing the Scattering Properties of Participating Media Using Lorenz-Mie Theory
    Preprint. To appear at SIGGRAPH 2007. Computing the Scattering Properties of Participating Media Using Lorenz-Mie Theory Jeppe Revall Frisvad1 Niels Jørgen Christensen1 Henrik Wann Jensen2 1Informatics and Mathematical Modelling, Technical University of Denmark 2University of California, San Diego Figure 1: Rendered images of the components in milk as well as mixed concentrations. The optical properties of the components and the milk have been computed using the generalization of the Lorenz-Mie theory presented in this paper. From left to right the glasses contain: Water, water and vitamin B2, water and protein, water and fat, skimmed milk, regular milk, and whole milk. Abstract 1 Introduction This paper introduces a theoretical model for computing the scatter- Participating media and scattering materials are all around us. Ex- ing properties of participating media and translucent materials. The amples include the atmosphere, ocean water, clouds, and translu- model takes as input a description of the components of a medium cent materials such as milk, ice, and human skin. In order to ren- and computes all the parameters necessary to render it. These pa- der these media, it is necessary to know the optical properties that rameters are the extinction and scattering coefficients, the phase describe how light interacts with the media. These scattering prop- function, and the index of refraction. Our theory is based on a ro- erties can be acquired by measurements, by manual adjustment to bust generalization of the Lorenz-Mie theory. Previous models us- match the desired appearance, or by use of a theoretical model. ing Lorenz-Mie theory have been limited to non-absorbing media In this paper, we present a novel theoretical model capable with spherical particles such as paints and clouds.
    [Show full text]
  • NCAR/TN-140+STR Mie Scattering Calculations
    NCAR/TN-140+STR NCAR TECHNICAL NOTE iI June 1979 Mie Scattering Calculations: Advances in Technique and Fast, Vector-Speed Computer Codes Warren J. Wiscombe ATMOSPHERIC ANALYSIS AND PREDICTION DIVISION rS~~~~~~~~ II,~~~~~~~~~~~~~Il Ig~~ I NATIONAL CENTER FOR ATMOSPHERIC RESEARCH BOULDER, COLORADO iii ABSTRACT Dave published the first widely-used Mie scattering codes in 1968. Even on the fastest computers, these codes and their descendants often took a great deal of computer time for problems of practical interest. In the intervening years, there have been a number of improvements in technique (some developed by this author and reported herein for the first time). At the same time, vector processing has increasingly become the wave of the future in scientific computing machines, and Mie computations can be effectively reorganized to take advantage of it. The present document gathers these improvements in technique, together with the necessary reorganization to attain vector speed, to produce new Mie scattering codes suitable for modern computation. Actually, two codes are presented. The first, MIEVO, attains as much vector speed as possible within the constraint of using the minimum possible memory. MIEVO is suitable for almost any computer, whether or not it has vector capabilities, and is generally faster and better designed than existing Mie codes. The second code, MIEV1, attains maximum vector speed, at the expense of using more memory than MIEVO. It is most suitable for vector-processing computers. MIEV1 is anywhere from 10% to 300% faster on the CRAY-1 than MIEVO. Detailed timing results are presented for both codes. The codes are thoroughly tested and documented and are exceptionally reliable and well-conditioned.
    [Show full text]
  • Holopy Documentation Release 3.1.1
    HoloPy Documentation Release 3.1.1 Manoharan Lab, Harvard University Jul 30, 2017 Contents 1 User Guide 3 1.1 Getting Started..............................................3 1.2 Loading Data...............................................4 1.3 Reconstructing Data (Numerical Propagation).............................8 1.4 Reconstructing Point Source Holograms................................. 10 1.5 Scattering Calculations.......................................... 13 1.6 Scattering from Arbitrary Structures with DDA............................. 19 1.7 Bayesian inference of Parameter Values................................. 21 1.8 Fitting Models to Data.......................................... 24 1.9 Developer’s Guide............................................ 26 1.10 HoloPy Tools............................................... 29 1.11 Concepts................................................. 30 2 holopy package 33 2.1 Module contents............................................. 33 2.2 Subpackages............................................... 33 3 References and credits 75 Bibliography 77 Python Module Index 79 i ii HoloPy Documentation, Release 3.1.1 Release 3.1.1 HoloPy is a python based tool for working with digital holograms and light scattering. HoloPy can be used to analyze holograms in two complementary ways: • Backward propagation of light from a digital hologram to reconstruct 3D volumes. – This approach requires no prior knowledge about the scatterer • Forward propagation of light from a scattering calculation of a predetermined
    [Show full text]
  • Laser Beam Atmospheric Propagation Modelling for Aerospace LIDAR Applications
    atmosphere Review Laser Beam Atmospheric Propagation Modelling for Aerospace LIDAR Applications Thomas Fahey 1,2 , Maidul Islam 1,2, Alessandro Gardi 1,2 and Roberto Sabatini 1,2,* 1 School of Engineering, RMIT University, Melbourne, VIC 3000, Australia; [email protected] (T.F.); [email protected] (M.I.); [email protected] (A.G.) 2 Food Agility CRC Ltd., 81 Broadway, Ultimo, NSW 2007, Australia * Correspondence: [email protected] Abstract: Atmospheric effects have a significant impact on the performance of airborne and space laser systems. Traditional models used to predict propagation effects rely heavily on simplified as- sumptions of the atmospheric properties and their interactions with laser systems. In the engineering domain, these models need to be continually improved in order to develop tools that can predict laser beam propagation with high accuracy and for a wide range of practical applications such as LIDAR (light detection and ranging), free-space optical communications, remote sensing, etc. The underlying causes of laser beam attenuation in the atmosphere are examined in this paper, with a focus on the dominant linear effects: absorption, scattering, turbulence, and non-linear thermal effects such as blooming, kinetic cooling, and bleaching. These phenomena are quantitatively analyzed, highlighting the implications of the various assumptions made in current modeling approaches. Absorption and scattering, as the dominant causes of attenuation, are generally well captured in existing models and tools, but the impacts of non-linear phenomena are typically not well described as they tend to be Citation: Fahey, T.; Islam, M.; Gardi, application specific.
    [Show full text]
  • MATLAB Functions for Mie Scattering and Absorption
    ________________________________ MATLAB Functions for Mie Scattering and Absorption Christian Mätzler ________________________________ Research Report No. 2002-08 June 2002 Institut für Angewandte Physik Mikrowellenabteilung __________________________________________________________ Sidlerstrasse 5 Tel. : +41 31 631 89 11 3012 Bern Fax. : +41 31 631 37 65 Schweiz E-mail : [email protected] 1 MATLAB Functions for Mie Scattering and Absorption Christian Mätzler, Institute of Applied Physics, University of Bern, June 2002 List of Contents Abstract..............................................................................................................1 1 Introduction.....................................................................................................2 2 Formulas for a homogeneous sphere ................................................................2 2.1 Mie coefficients and Bessel functions ............................................................................ 2 2.2 Mie efficiencies and cross sections................................................................................. 4 2.3 The scattered far field .....................................................................................................4 2.4 The internal field............................................................................................................. 5 2.5 Computation of Qabs, based on the internal field ............................................................ 6 3 The MATLAB Programs ....................................................................................7
    [Show full text]