Файл: Doicu A., Wriedt T., Eremin Y.A. Light scattering by systems of particles (OS 124, Springer, 2006.pdf
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220 3 Simulation Results
Fig. 3.31. Geometry of a cube shaped particle with 17,680 faces approximated by CS-RBF
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Fig. 3.32. Normalized di erential scattering cross-sections for parallel polarization of a cube and a reconstructed cube
surface points were used in shape reconstruction. The result of the shape reconstruction can be seen in Fig. 3.31, while in Figs. 3.32 and 3.33 the scattering diagrams of the original and the reconstructed cubes are plotted. There are only minor di erences in the backscattering region. The particle shapes have been discretized to a large number of surface patches by using a divide by four scheme and the Rational Reducer Professional software for grid reduction, so that there are finally 17,680 triangular faces with the reconstructed cube.
Scattering results for nonaxisymmetric particles using the superellipsoid as a model particle shape have been given by Wriedt [268]. The program SScaTT (Superellipsoid Scattering Tool) includes a small graphical user interface to generate various superellipsoid particle shape modes and is available
3.4 Inhomogeneous Particles |
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Fig. 3.33. Normalized di erential scattering cross-sections for perpendicular polarization of a cube and a reconstructed cube
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T matrix of the |
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inclusion / particles |
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T-Matrix Routine
T Matrix |
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Scattering |
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Convergence Test |
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Characteristics |
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Fig. 3.34. Flow diagram of the TINHOM routine
on CD-ROM with this book. The e ect of particle surface discretization on the computed scattering patterns has been analyzed by Hellmers and Wriedt [99].
3.4 Inhomogeneous Particles
This section discusses numerical and practical aspects of T -matrix calculations for inhomogeneous particles. The flow diagram of the TINHOM routine is shown in Fig. 3.34. The program supports scattering computation for axisymmetric and dielectric host particles with real refractive index. The main feature of this routine is that the T -matrix of the inclusion is provided as input parameter. The inclusion can be a homogeneous, axisymmetric or
222 3 Simulation Results
z
z1 a1
β1
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O
x1
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r
Fig. 3.35. Geometry of an inhomogeneous sphere with a spheroidal inclusion
nonaxisymmetric particle, a composite or a layered scatterer and an aggregate. This choice enables the analysis of particles with complex structure and enhances the flexibility of the program. For computing the T -matrix of the inclusion, the refractive index of the ambient medium must be identical with the relative refractive index of host particle.
We consider an inhomogeneous sphere of radius ksr = 10 as shown in Fig. 3.35. The inhomogeneity is a prolate spheroid of semi-axes ksa1 = 5 and ksb1 = 5. The relative refractive indices of the sphere and the spheroid with respect to the ambient medium are mr = 1.2 and mr1 = 1.5, respectively, and the Euler angles specifying the orientation of the prolate spheroid with respect to the particle coordinate system are αp1 = βp1 = 45◦. The di erential scattering cross-sections are calculated for the case of normal incidence, and the maximum expansion and azimuthal orders for computing the inclusion T matrix are Nrank = 10 and Mrank = 5, respectively. In Fig. 3.36, we compare the T -matrix results to those obtained with the multiple multipole method. The agreement between the scattering curves is acceptable.
In Fig. 3.37, we show an inhomogeneous sphere with a spherical inclusion. The radii of the host sphere and the inclusion are R = 1.0 µm and r = 0.5 µm, respectively, while the relative refractive indices with respect to the ambient medium are mr = 1.33 and mr1 = 1.5, respectively. The inhomogeneity is placed at the distance z1 = 0.25 µm with respect to the particle coordinate system and the wavelength of the incident radiation is chosen as λ = 0.6328 µm.