Geodesic
Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling
Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 56 (2016) no. 9, pp. 1560-1570 
G. A. Mikhailov; N. V. Tracheva; S. A. Ukhinov. Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling. Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 56 (2016) no. 9, pp. 1560-1570. http://geodesic.mathdoc.fr/item/ZVMMF_2016_56_9_a2/
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     title = {Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling},
     journal = {\v{Z}urnal vy\v{c}islitelʹnoj matematiki i matemati\v{c}eskoj fiziki},
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Voir la notice de l'article provenant de la source Math-Net.Ru

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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