Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Depolarization behavior of multiple scattered light from an optically dense random medium

Not Accessible

Your library or personal account may give you access

Abstract

We study numerically, using the Mie theory, light transmission through a multiply scattering medium composed of a collection of uncorrelated, optically inactive spherical particles. The characteristic length over which a plane wave field is depolarized depends on whether it is initially linearly or circularly polarized and of the size of the particles. In a medium containing particles small compared to the wavelength (Rayleigh regime), the characteristic length of depolarization for incident linearly polarized light is found to exceed that for incident circularly polarized light, while the opposite is true in a medium composed of particles large compared to the wavelength (Mie regime). Comparison of numerical results with data from measurements on suspensions of polystyrene latex spheres in water is made. Agreement between these simulations and experiment is good for the range of sizes considered in this paper. We also discuss the relevance of the helicity flip model to the analysis of these data.

© 1996 Optical Society of America

PDF Article
More Like This
Light depolarization by Mie scatterers

M. Xu and R. R. Alfano
QThB4 Quantum Electronics and Laser Science Conference (CLEO:FS) 2005

Nearfield polarization effects on light propagation in random media

M. R. Ostermeyer, D. V. Stephens, L. Wang, and S. L. Jacques
SP2 Biomedical Optical Spectroscopy and Diagnostics (BIOMED) 1996

Diagnostic of strongly scattering media with diffusely backscattered polarized light

Andreas H. Hielscher, Judith R. Mourant, and Irving J. Bigio
CThQ3 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 1996

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.