Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process. / Mikhailov, Gennady A.; Prigarin, Sergei M.; Rozhenko, Sergey A.
в: Russian Journal of Numerical Analysis and Mathematical Modelling, Том 33, № 4, 28.08.2018, стр. 253-263.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process
AU - Mikhailov, Gennady A.
AU - Prigarin, Sergei M.
AU - Rozhenko, Sergey A.
PY - 2018/8/28
Y1 - 2018/8/28
N2 - The comparative efficiency of different algorithms of statistical modelling of polarized radiation transfer process is studied for the problem with molecular matrix of scattering. The vector illumination and brightness are calculated for passing and reflected radiation. A statistical nuclear estimator is developed for evaluation of the corresponding angular distributions taking into account the weights of registered quanta.
AB - The comparative efficiency of different algorithms of statistical modelling of polarized radiation transfer process is studied for the problem with molecular matrix of scattering. The vector illumination and brightness are calculated for passing and reflected radiation. A statistical nuclear estimator is developed for evaluation of the corresponding angular distributions taking into account the weights of registered quanta.
KW - integral transfer equation
KW - kernel density estimation
KW - Legendre polynomial
KW - Polarized radiation transfer process
KW - statistical error
KW - statistical modelling
KW - Stokes vector
KW - vector algorithms
UR - http://www.scopus.com/inward/record.url?scp=85051201466&partnerID=8YFLogxK
U2 - 10.1515/rnam-2018-0021
DO - 10.1515/rnam-2018-0021
M3 - Article
AN - SCOPUS:85051201466
VL - 33
SP - 253
EP - 263
JO - Russian Journal of Numerical Analysis and Mathematical Modelling
JF - Russian Journal of Numerical Analysis and Mathematical Modelling
SN - 0927-6467
IS - 4
ER -
ID: 16111658