Standard

Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process. / Mikhailov, Gennady A.; Prigarin, Sergei M.; Rozhenko, Sergey A.

In: Russian Journal of Numerical Analysis and Mathematical Modelling, Vol. 33, No. 4, 28.08.2018, p. 253-263.

Research output: Contribution to journal › Article › peer-review

Harvard

Mikhailov, GA, Prigarin, SM & Rozhenko, SA 2018, 'Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process', Russian Journal of Numerical Analysis and Mathematical Modelling, vol. 33, no. 4, pp. 253-263. https://doi.org/10.1515/rnam-2018-0021

APA

Mikhailov, G. A., Prigarin, S. M., & Rozhenko, S. A. (2018). Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process. Russian Journal of Numerical Analysis and Mathematical Modelling, 33(4), 253-263. https://doi.org/10.1515/rnam-2018-0021

Vancouver

Mikhailov GA, Prigarin SM, Rozhenko SA. Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process. Russian Journal of Numerical Analysis and Mathematical Modelling. 2018 Aug 28;33(4):253-263. doi: 10.1515/rnam-2018-0021

Author

Mikhailov, Gennady A. ; Prigarin, Sergei M. ; Rozhenko, Sergey A. / Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process. In: Russian Journal of Numerical Analysis and Mathematical Modelling. 2018 ; Vol. 33, No. 4. pp. 253-263.

BibTeX

@article{1de74959fcdf4898963e1238663018da,
title = "Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process",
abstract = "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.",
keywords = "integral transfer equation, kernel density estimation, Legendre polynomial, Polarized radiation transfer process, statistical error, statistical modelling, Stokes vector, vector algorithms",
author = "Mikhailov, {Gennady A.} and Prigarin, {Sergei M.} and Rozhenko, {Sergey A.}",
year = "2018",
month = aug,
day = "28",
doi = "10.1515/rnam-2018-0021",
language = "English",
volume = "33",
pages = "253--263",
journal = "Russian Journal of Numerical Analysis and Mathematical Modelling",
issn = "0927-6467",
publisher = "Walter de Gruyter GmbH",
number = "4",

}

RIS

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