Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process

Gennady A. Mikhailov; Sergei M. Prigarin; Sergey A. Rozhenko

doi:10.1515/rnam-2018-0021

Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process

Gennady A. Mikhailov, Sergei M. Prigarin, Sergey A. Rozhenko

Кафедра вычислительной математики ММФ

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

4 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	английский
Страницы (с-по)	253-263
Число страниц	11
Журнал	Russian Journal of Numerical Analysis and Mathematical Modelling
Том	33
Номер выпуска	4
DOI	https://doi.org/10.1515/rnam-2018-0021
Состояние	Опубликовано - 28 авг 2018

Доступ к документу

10.1515/rnam-2018-0021

Другие файлы и ссылки

Link to publication in Scopus

Fingerprint

Подробные сведения о темах исследования «Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

@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",

}

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.

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

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 -