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A new Monte Carlo method for estimation of time asymptotic parameters of polarized radiation. / Tracheva, Natalya; Ukhinov, Sergey.
в: Mathematics and Computers in Simulation, Том 161, 01.07.2019, стр. 84-92.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - A new Monte Carlo method for estimation of time asymptotic parameters of polarized radiation
AU - Tracheva, Natalya
AU - Ukhinov, Sergey
N1 - Publisher Copyright: © 2018 International Association for Mathematics and Computers in Simulation (IMACS)
PY - 2019/7/1
Y1 - 2019/7/1
N2 - In this work we discuss the problem of estimation of time asymptotic parameters of polarized radiation flux in the scattering and absorbing media, illuminated by an external or an internal source. We construct a distinctive weighted Monte Carlo algorithm for evaluation of asymptotic parameters and time distribution density of polarized radiation flux. This algorithm is based on the randomized projective evaluation of the functionals via the orthonormal polynomial expansion of a special kind. We provide results of performed numerical simulation of the time distribution of the radiation intensity and degree of polarization, scattered by semi-infinite layer of the scattering and absorbing media.
AB - In this work we discuss the problem of estimation of time asymptotic parameters of polarized radiation flux in the scattering and absorbing media, illuminated by an external or an internal source. We construct a distinctive weighted Monte Carlo algorithm for evaluation of asymptotic parameters and time distribution density of polarized radiation flux. This algorithm is based on the randomized projective evaluation of the functionals via the orthonormal polynomial expansion of a special kind. We provide results of performed numerical simulation of the time distribution of the radiation intensity and degree of polarization, scattered by semi-infinite layer of the scattering and absorbing media.
KW - Monte Carlo method
KW - Polarized radiation transfer
KW - Randomized projective estimator
KW - Time asymptotics
KW - INTENSITY
UR - http://www.scopus.com/inward/record.url?scp=85062809832&partnerID=8YFLogxK
U2 - 10.1016/j.matcom.2018.10.001
DO - 10.1016/j.matcom.2018.10.001
M3 - Article
AN - SCOPUS:85062809832
VL - 161
SP - 84
EP - 92
JO - Mathematics and Computers in Simulation
JF - Mathematics and Computers in Simulation
SN - 0378-4754
ER -
ID: 18863333