Statistics – Computation
Scientific paper
Sep 1998
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998jqsrt..60..439l&link_type=abstract
Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 60, issue 3, pp. 439-450
Statistics
Computation
18
Scattering: Polarization, Scattering: Numerical Methods
Scientific paper
The authors compute light scattering by stochastically deformed spheres using a volume integral equation formalism. For computational reasons they are restricted to volume equivalent size parameters less than about eight for a collection of particles in random orientation. To see how well light scattering by rough particles can be approximated by using equal volume spheroids (computed by the T-matrix method) or by spheres (computed using Mie theory), the authors compute standard deviations between the different models for the intensity and linear polarization. As expected, a spheroid is a much better approximation than a sphere, particularly in the case of linear polarization. Only as an exercise the authors assume a power law distribution of particle sizes and compute light scattering by their realizations that the intensity shows a distinct opposition spike close to backscattering and linear polarization is qualitatively astonishingly close to that observed for atmosphereless solar system objects.
Lumme Kari
Rahola J.
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