Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling
- Autores: Mikhailov G.A.1,2, Tracheva N.V.2, Ukhinov S.A.1,2
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Afiliações:
- Novosibirsk State University
- Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch
- Edição: Volume 56, Nº 9 (2016)
- Páginas: 1540-1550
- Seção: Article
- URL: https://journals.rcsi.science/0965-5425/article/view/178631
- DOI: https://doi.org/10.1134/S0965542516090141
- ID: 178631
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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.
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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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