Stokes vector for small rough particles: Regression analysis - IN2P3 - Institut national de physique nucléaire et de physique des particules Access content directly
Journal Articles Journal of Quantitative Spectroscopy and Radiative Transfer Year : 2006

Stokes vector for small rough particles: Regression analysis

Abstract

The Stokes parameters and the linear polarization $P_1$ of small rough particles composed of ice and silicate are studied with statistical methods. The probability density function of $P_1$ and a regression analysis for the first two Stokes parameter $I_s^2$ and $Q_s^2$ are presented for three typical scattering angles $\theta_s$=60\degres, 90\degres and 150\degres. The width of the probability density function of $P_1$ given by its standard deviation increases with the roughness of the particles. A linear relationship between $I_s^2$ and $Q_s^2$ is found by the regression analysis. The slope of the linear mode reflects the correlation between $I_s^2$ and $Q_s^2$ that, for a specific composition of the particles, depends on the roughness of the particles and the scattering angles. The value of the constant of the linear regression is characteristic of the composition of the particles and is not sensitive to the roughness of the particles and the scattering angles. The scattering angle $\theta_s$=150\degres is the most appropriate angle for a study of rough particles of different composition.

Dates and versions

in2p3-00085601 , version 1 (13-07-2006)

Identifiers

Cite

K. Chamaillard, E. Huguet, M. Broniatowski. Stokes vector for small rough particles: Regression analysis. Journal of Quantitative Spectroscopy and Radiative Transfer, 2006, 101, pp.512-521. ⟨10.1016/j.jqsrt.2006.02.061⟩. ⟨in2p3-00085601⟩
27 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More