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This article is cited in 17 scientific papers (total in 17 papers)
Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling
G. A. Mikhailovab, N. V. Trachevaa, S. A. Ukhinovab a Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
To study the intensity of radiation transmitted through a layer of substance, a Monte Carlo algorithm is developed based on the expansion of the corresponding angular distribution density in terms of orthonormalized polynomials with a “Lambert” weight. The algorithm is optimized so as to simplify the computations as much as possible. Even a small effect of polarization and the deviation of the angular distribution from the Lambert one can be estimated rather accurately by applying the algorithm.
Key words:
statistical modeling, polarized radiation transfer, orthogonal expansion.
Received: 28.10.2015
Citation:
G. A. Mikhailov, N. V. Tracheva, S. A. Ukhinov, “Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling”, Zh. Vychisl. Mat. Mat. Fiz., 56:9 (2016), 1560–1570; Comput. Math. Math. Phys., 56:9 (2016), 1540–1550
Linking options:
https://www.mathnet.ru/eng/zvmmf10459 https://www.mathnet.ru/eng/zvmmf/v56/i9/p1560
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