Scattering of light waves from a collection with particles of $\mathcal{L}$ types

TL;DR

This paper introduces a novel theoretical framework using matrices to analyze the coherence properties of light scattered from a mixture of different particle types, enhancing understanding of multi-species scattering.

Contribution

A new approach employing pair-potential and pair-structure matrices within the first-order Born approximation to characterize scattering coherence from multi-type particle collections.

Findings

Derived a closed-form relation linking the cross-spectral density to the matrices.

Showed how matrices simplify under similar spatial distributions of particles.

Illustrated the approach with two hybrid particulate system examples.

Abstract

A new approach is developed within the first-order Born approximation to light scattering from a collection of particles with $\mathcal{L}$ types. Two $\mathcal{L}\times\mathcal{L}$ matrices called pair-potential matrix (PPM) and pair-structure matrix (PSM) are introduced to jointly formulate the coherence properties of the scattered field. We derive a closed-form relation that associates the cross-spectral density function of the scattered field with the PPM and the PSM, showing that the the cross-spectral density function equals the trace of the product of the PSM and the transpose of the PPM. Based on this, the spectral degree of coherence (SDOC) of the scattered field is further analysed. We show that for a special case where the spatial distributions of scattering potentials of different types of particles are similar and the same is true of their density distributions, the PPM and the PSM will reduce to two new matrices whose elements separately quantify degree of angular correlation of the scattering potentials of particles and their density distributions, and the number of species of particles in this special case as a scaled factor ensures the normalization of the SDOC. Two special hybrid particulate systems as examples are given to illustrate the importance of our new approach.