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Stochastic reconstruction of anisotropic polarizabilities
Sergey Sukhov1, David Haefner, Aristide Dogariu
1CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, Florida 32816-2700, USA.
Abstract:
By solving a linear stochastic equation, we demonstrate how probability density functions of scattered intensities and order statistics can be used for reconstructing the statistical properties of fluctuating anisotropic polarizabilities. Depending on the statistical relationship between the elements of the polarizability tensor, we show how task optimized measurements can be conducted to reduce the number of necessary measurements. This approach is directly applicable to polarimetric measurements with limited control over the experimental conditions.
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