1 / 70

Overview

Scattering by aggregates and layers of closely packed particles Sanaz Vahidinia Jeffrey Cuzzi, Bruce Draine, Frank Bridges. Overview. Introduction Light scattering in nature Saturn’s F ring aggregates Scattering from diffuse particle layer Independent scattering

faraji
Download Presentation

Overview

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Scattering by aggregates and layers of closely packed particlesSanaz VahidiniaJeffrey Cuzzi, Bruce Draine, Frank Bridges

  2. Overview • Introduction • Light scattering in nature • Saturn’s F ring aggregates • Scattering from diffuse particle layer • Independent scattering • Cassini VIMS data, modeling, and results • Regolith scattering • Scattering from compact particle layers • Interference effects • motivation, current models, our new model • results • Future work

  3. 1. diffuse layer 2. diffuse aggregate layer 3. compact layer

  4. Part 1: Studies of Saturn’s F ring particles As aggregates

  5. Cassini’s Telescopes RSS, Radar MIMI (neutrons ! ) ISS (vis, near-IR mapping spectrometer) (WA, NA cameras) RPWS (AM, FM) CIRS UVIS Ultraviolet imaging spectrograph (occultations, mapping) Composite infrared Spectrometer (thermal emission)

  6. D C B C D A F ISS approach color composite

  7. what kind of particles could the F ring particles be? solid, porous, or aggregates or ??? aggregate DDA porous homogeneous particle Mie theory + EMT solid homogeneous particle Mie theory

  8. solid carbon particles vs. solid ice particles solid ice particles vs. data

  9. what kind of particles could the F ring particles be? solid, porous, or aggregates or ??? aggregate DDA porous homogeneous particle Mie theory + EMT solid homogeneous particle Mie theory

  10. Discrete Dipole Approximation • Model each dielectric grain with an array of N polarizable dipoles with polarizability . • Assign polarizability such that the dipole lattice exhibits the macroscopic dielectric constant of the material. • Each dipole is driven by an incident field and the field of all other oscillators in the lattice. • The steady state polarization or field in the material is found by an iterative method. • Pj = Ej = ·(Ei + k2(Pj * G) ) •  - 1 = 4N/(1- 4N/3) • 2m(d / ) < 1/2 DDA Constraint

  11. extinction efficiency (Qext) = Qa + Qs = ext / r2 albedo (w) = Qs / Qext I / F = Qext * w * p * n * r2 phase (p) = phase function

  12. The “toy model”

  13. Part 1 conclusions: • F ring particles are not well modeled by uniform density • spheres, even if arbitrary density is allowed • Aggregates fit better and allow fit to overall shape of spectral • Forward scattering I/F AND depth of single observed absorption • feature • Aggregates are more effective scatterers per unit mass; • toy model explains why (interfaces) • Single abs feature has been explained as Christiansen • frequency and allows us to discriminate between crystalline • and amorphous ice • F ring aggregate particles have a moderately narrow • size distribution

  14. Part 2: Regolith radiative transfer: A new approach with applications To many granular surfaces

  15. 1. diffuse layer 2. diffuse aggregate layer 3. compact layer

  16. Saturn’s entire B ring HST IRTF model R wavelength (microns) 98% water ice, 2% carbon, 1% tholins F. Poulet et al. (2003) Groundbased reflectance spectrum: water ice bands and reddish material Certain regions get more “polluted” wavelength, microns

  17. Grains are good absorbers of short  Grains start to scatter radiation in this  region 1.0 B A C  • Roll off is the transition region between good absorbers and perfect reflectors. • This region is difficult to model due to closely packed grains and grain sizes comparable to . Ring particles become good scatterers in the microwave region 0.5 1000 10 100 Wavelength  (m) Spilker et al.(2005) Ring emissivities of the A,B, and C rings as a function of wavelength.

  18. Thermal IR and microwave: change from emitting to scattering behavior Most ring particles are wavelength size (cm-m) and Composed almost entirely (>90%) of water ice; Transition region (100 - few mm) poorly characterized Data tabulated in Esposito et al 984

  19. Review of current RRT modelsand sample calculation of Quartz emissivity using current model…motivation fordevelopment of our model

  20. Equation of Transfer Ir I0  0 0  0 It P = particle phase function, which gives the angular distribution and polarization of scattered light for any polarization of incident radiation. g =  cos P11 d/4, anisotropy parameter characterizing the shape of the phase function. w = single scattering albedo. Defined as the fraction scattered, of the total energy removed from the incident beam. Methods of solving the Transfer Equation for plane parallel layers

  21. Current RRT models Some of the current transfer solutions can be summarized in two parts Calculate grain Albedo (w) using: Mie theory … Spherical particles, well separated (Conel, Hansen,..) Ray optics … Particles large compared to wavelength, allows for irregular particles (Hapke) Multiple scattering calculation for layer: Isotropic scattering in a homogenous semi infinite layer can be solved by Chandrasekhar's semi-analytic H-function. The H function is a nonlinear integral equation used to numerically solve the reflection from an infinite layer. Anisotropic scattering can be solved using van de Hulst’s Similarity relations. This method approximates complex phase functions in terms of solutions for simpler phase functions (specifically isotropic phase functions). (Cuzzi & Estrada, Shkuratov, Conel…) The Doubling/Adding method is a numerical approach where the overall transfer properties of one layer is calculated by equating the emergent radiation from an arbitrary layer to the incident radiation upon the layer in question. (Hansen, Eddington…)

  22. Emissivity of a layer of particles Bc=Black body radiation intensity Bc Black body surface at Tc Bc • Black body radiation gets absorbed, scattered, and re-emitted by the layer. • The radiation contributions from the layer can be broken up into the following: 1) Direct transmission of black body radiation 2) Diffusely scattered radiation transmitted through the layer . through the layer. 3) Diffusely scattered radiation reflected by the layer. 4) Emitted radiation from the layer. Conservation of Energy  ~ 

  23. Outline of Mie/similarity calculation for quartz emissivity data A =  S(, ) d do = ring particle spherical albedo using van de Hulst’s similarity parameter S = [(1 - w) / (1 - w•g)]1/2 A = (1- S)(1-0.139 S) /(1+1.175 S) Emissivity = 1 - A

  24. Mie scattering for grain albedo(w) and g • Similarity transformation for particle (or integrated) albedo • Integrated emissivity = 1 - Integrated Albedo • Data courtesy J. Michalski

  25. Current models don’t match the emissivity data. Current models make various simplifying assumptions and do not account for close packing, interference effects, and irregular particles. We need to develop an RRT model that takes all these effects into account

  26. Discrete Dipole Approximation • Model dielectric grain with an array of N polarizable dipoles with polarizability . • Assign polarizability such that the dipole lattice exhibits the macroscopic dielectric constant of the material. • Each dipole is driven by an incident field and the field of all other oscillators in the lattice. • The steady state polarization or field in the material is found by an iterative method. • Pj = Ej = ·(Ei + k2(Pj * G) ) •  - 1 = 4N/(1- 4N/3) • 2m(d / ) < 1/2 DDA Constraint

  27. Discrete Dipole Approximation applied to grainy surface

  28. Layer radiative transfer s T {s + T} ()

  29. Scattered field in the shadow zone

  30. Scattered field on a plane in the near field (either reflection or transmission) Note periodic boundary conditions x y FFT E(x,y) = k2(Pj * G) E(, )

  31. Angular Spectrum G = Green’s function (J. D. Jackson) 2-D vector field Fourier transform vector field to k-space k-space power spectrum

  32. x Angular distribution of scattered intensity evanescent waves occur when:   z y Resolution Specifications

  33. Dielectric slab test • Simulate a homogeneous dielectric layer with DDA-PBC code. Calculate reflection and transmission from the layer with the near field method. • Compare R and T with Fresnel coefficients. • Granular runs • Run a granular layer with various porosities. Examine transmission and reflection as a function of particle packing.

  34. Io R T

  35. Specular beam in k-space Specular reflection: reflected beam is localized in frequency space at three emission angles corresponding to three incident zenith angles 20o, 40o, and 60o.

  36. Granular layers for various porosities

  37. Optical depth studies of granular layers z • Calculate Q from the optical depth and compare with • current mie models • Use optical depth for the adding code

  38. Next step in future work………

More Related