Research output: Contribution to journal › Article › peer-review
Numerical statistical study of the angular distribution of the polarized radiation scattered by a medium. / Tracheva, Natalya V.; Ukhinov, Sergey A.
In: Russian Journal of Numerical Analysis and Mathematical Modelling, Vol. 32, No. 2, 01.04.2017, p. 135-146.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Numerical statistical study of the angular distribution of the polarized radiation scattered by a medium
AU - Tracheva, Natalya V.
AU - Ukhinov, Sergey A.
N1 - Publisher Copyright: © 2017 Walter de Gruyter GmbH, Berlin/Boston.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - A Monte Carlo algorithm for studying the spatial-angular distribution of polarization characteristics of the radiation scattered by a medium is developed. The algorithm is based on the projection expansion method for the density of the corresponding angular distribution over polynomials orthonormalized with a 'Lambert' weight. The influence of parameters of the medium on angular characteristics of the polarized radiation transmitted through and reflected by dense layers of the medium is studied with the use of numerical statistical modelling.
AB - A Monte Carlo algorithm for studying the spatial-angular distribution of polarization characteristics of the radiation scattered by a medium is developed. The algorithm is based on the projection expansion method for the density of the corresponding angular distribution over polynomials orthonormalized with a 'Lambert' weight. The influence of parameters of the medium on angular characteristics of the polarized radiation transmitted through and reflected by dense layers of the medium is studied with the use of numerical statistical modelling.
KW - Monte Carlo method
KW - orthogonal expansion
KW - polarization
KW - radiation transfer
KW - statistical modelling
UR - http://www.scopus.com/inward/record.url?scp=85018405691&partnerID=8YFLogxK
U2 - 10.1515/rnam-2017-0012
DO - 10.1515/rnam-2017-0012
M3 - Article
AN - SCOPUS:85018405691
VL - 32
SP - 135
EP - 146
JO - Russian Journal of Numerical Analysis and Mathematical Modelling
JF - Russian Journal of Numerical Analysis and Mathematical Modelling
SN - 0927-6467
IS - 2
ER -
ID: 9045789