Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling


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Resumo

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.

Sobre autores

G. Mikhailov

Novosibirsk State University; Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch

Autor responsável pela correspondência
Email: gam@sscc.ru
Rússia, ul. Pirogova 2, Novosibirsk, 630090; pr. Akademika Lavrent’eva 6, Novosibirsk, 630090

N. Tracheva

Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch

Email: gam@sscc.ru
Rússia, pr. Akademika Lavrent’eva 6, Novosibirsk, 630090

S. Ukhinov

Novosibirsk State University; Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch

Email: gam@sscc.ru
Rússia, ul. Pirogova 2, Novosibirsk, 630090; pr. Akademika Lavrent’eva 6, Novosibirsk, 630090

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Declaração de direitos autorais © Pleiades Publishing, Ltd., 2016