A new Monte Carlo method for estimation of time asymptotic parameters of polarized radiation

Natalya Tracheva and Sergey Ukhinov

Mathematics and Computers in Simulation (MATCOM), 2019, vol. 161, issue C, 84-92

Abstract: 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.

Keywords: Polarized radiation transfer; Time asymptotics; Monte Carlo method; Randomized projective estimator (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:161:y:2019:i:c:p:84-92

DOI: 10.1016/j.matcom.2018.10.001

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