Research output: Contribution to journal › Article › peer-review
Numerically statistical simulation of the intensity field of the radiation transmitted through a random medium. / Ambos, Andrey Yu; Mikhailov, Gennadii A.
In: Russian Journal of Numerical Analysis and Mathematical Modelling, Vol. 33, No. 3, 26.06.2018, p. 161-171.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Numerically statistical simulation of the intensity field of the radiation transmitted through a random medium
AU - Ambos, Andrey Yu
AU - Mikhailov, Gennadii A.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - The radiation transfer through random media of three different types was simulated numerically and statistically with the same one-dimensional distributions and correlation radii. The averaged probabilities of passages of quanta and their angular distributions practically coincide, although the calculations of correlation radii and visualizations of the corresponding brightness fields give slightly distinct results. In the calculations we used the methods of 'double randomization' and 'delta-scattering' and also statistical nuclear estimates.
AB - The radiation transfer through random media of three different types was simulated numerically and statistically with the same one-dimensional distributions and correlation radii. The averaged probabilities of passages of quanta and their angular distributions practically coincide, although the calculations of correlation radii and visualizations of the corresponding brightness fields give slightly distinct results. In the calculations we used the methods of 'double randomization' and 'delta-scattering' and also statistical nuclear estimates.
KW - delta scattering
KW - double randomization method
KW - Monte Carlo method
KW - radiation quantum
KW - radiative transfer
KW - radiative transfer equation
KW - random medium
KW - randomized projection method
KW - statistical kernel estimate
KW - Statistical modelling
UR - http://www.scopus.com/inward/record.url?scp=85048839905&partnerID=8YFLogxK
U2 - 10.1515/rnam-2018-0014
DO - 10.1515/rnam-2018-0014
M3 - Article
AN - SCOPUS:85048839905
VL - 33
SP - 161
EP - 171
JO - Russian Journal of Numerical Analysis and Mathematical Modelling
JF - Russian Journal of Numerical Analysis and Mathematical Modelling
SN - 0927-6467
IS - 3
ER -
ID: 14103115