ScattPy v.0.1.0 Release

ScattPy v.0.1.0 Release

Alexander Vinokurov 03 Jan 2011
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ScattPy v.0.1.0 is released.
The package is registered in the Python package index (PyPI) as scikits.scattpy and can be automatically installed using the standard tools such as pip and easy_install. Please refer to the download page for instructions on manual download and installation.

The package is well tested and is quite stable. However due to the lack of documentation it is still considered in beta phase.

The ScattPy package is designed for modelling the light scattering by non-spherical particles.
Currently supported models are homogeneous and multi-layered particles with the following surface shapes:

  • spherical,
  • prolate and oblate spheroidal,
  • Chebyshev: $r(\theta)=R(1+\varepsilon\cos(n\theta))

illuminated by a plane wave. Besides, custom axi-symmetrical shapes can be used by declaring new shape classes derived from the Shape class.

With the ScattPy one can compute the following optical characteristics:

  • optical cross sections $C_{\rm sca},\;C_{\rm ext},
  • efficiency factors $Q_{\rm sca},\;Q_{\rm ext},
  • scattering matrix elements $S_{11} and $S_{12} for specified scattering angles,
  • amplitude matrix for specified scattering angles.

The following numerical methods are included:

  • separation of variables method (SVM) with spherical basis,
  • extended boundary conditions method (EBCM) with spherical basis,
  • integral point matching method (iPMM) with spherical basis (only homogeneous scatterers and TM mode are implemented).

For more details on the methods please refer to the articles:

  • V.G. Farafonov, A.A. Vinokurov, and V.B. Il’in. Comparison of the light scattering methods using the spherical basis. Opt.Spectrosc., 102:927-938, 2007.
  • A.A. Vinokurov, V.G. Farafonov, and V.B. Il’in. Separation of variables method for multilayered non-spherical particles. J. Quant. Spectr. Rad. Transf., 110:1356–1368, 2009.

Here’s a short example of the ScattPy usage:

from numpy import *
from sciits.scattpy import *

# declare a particle
P = ProlateSpheroid(ab=1.5, xv=1., m=1.33+0.2j)

# declare laboratory
LAB = Lab(P, alpha=pi/4) 
# Here alpha is the angle between the particle axis and 
# the direction of the incident radiation propagation.

# Solve the light scattering porblem with the EBCM method
RES = ebcm(LAB,accuracyLimit=1e-10)

# print scattered field efficiency factor Qsca for the TM and TE modes
print LAB.get_Csca(RES.c_sca_tm)[1], LAB.get_Csca(RES.c_sca_te)[1]

 

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