AAAR 33rd Annual Conference
October 20 - October 24, 2014
Rosen Shingle Creek
Orlando, Florida, USA
Abstract View
Light Scattering by Thickened Percolation Aggregates
WILLIAM HEINSON, Chris Sorensen, Amit Chakrabarti, Kansas State University
Abstract Number: 229 Working Group: Aerosol Physics
Abstract Light scattering by random shapes is of major importance in understanding the effects that atmospheric dust has on climate change. We present a model to create random shapes that mimic some atmospheric dusts. We start with an on-lattice percolation aggregate of fractal dimension 2.5, then thicken the cluster by filling in the nearest neighbors till it reaches a fractal dimension of 3. Next we use a discrete dipole approximation algorithm to solve for the light scattering and apply Q-space analysis to explore patterns as the phase shift parameter, rho, increases. The scattering displays power laws with q with exponents that evolve with rho.