Monte Carlo simulation of Stokes vectors of polarized light scattering from two-dimensional random rough surfaces

Abstract

A Monte Carlo model was established to simulate polarized scattering fields of two-dimensional rough surfaces based on the Kirchhoff approximation. Based on this model, numerical studies of the hemispherical distribution of Stokes vectors of scattered light from dielectric and metal rough surfaces were carried out. These surfaces have Gaussian distributions with correlation length of 3.1 mm and standard deviation varying between 0.1 and 0.6 mm. The results reveal that the V component of metal surfaces has peaks antisymmetric with the incident plane, whereas the V component of dielectric surfaces is almost zero. We consider that this property of the V component would provide a new method which could be used to distinguish the target material.

Calculation and analysis of Mueller matrix in light scattering detection

“…Besides, with the increase in the incident angles, the peaks of m 11 , m 12 , and m 33 are all shifted according to the incident angles. These results can also be seen in our previous simulation work [8] .…”

“…It is found that both the refractive index and roughness of target surfaces influence the scattering intensity [6] . However, single intensity parameter could not comprehensively reflect complete information of the targets which limits its potentiality in the future applications [7,8] .…”

“…1, when the incident and scattering angles, q i and q s are determined, scattered field is decided by both slope and reflective coefficients of local area in randomly rough surface. Major contributions for the scattered fields are those localized areas whose s = dz/dx = tan[(q iq s )/2)] and the probability density is [8]…”

Full angular Stokes vectors of light scattering from two-dimensional randomly rough surfaces by Kirchhoff approximation method

“…Many other research groups also applied the KA to study the light scattering from different surfaces [33][34][35]. Recently, our group also computed Stokes vectors under different scattering conditions with high accuracy and efficiency via the KA method [36].…”

“…Among them, SPM could only deal with low roughness occasions in which the height fluctuation is much less than the wavelength of the incident light. Moreover, compared to MoM, the KA offers higher calculation efficiency and the ability to set polarization [25][26][27][28][29][30][31][32][33][34][35][36]. It is an appropriate method for analyzing the Stokes vectors of polarized light scattering from 2D randomly rough surfaces.…”