文章基本信息

标题：A guided Monte Carlo radiative transfer method using mixture importance sampling
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作者：Jianing Zhang
期刊名称：Astronomy & Astrophysics
印刷版ISSN：0004-6361
电子版ISSN：1432-0746
出版年度：2019
卷号：628
页码：1-8
DOI：10.1051/0004-6361/201935751
语种：English
出版社：EDP Sciences
摘要：In order to investigate the source of uncertainties for the Monte Carlo radiative transfer method, a path space formulation is proposed which expresses the integral form of the radiative transfer equation. It has been determined that some of the uncertainties depend on the sampling of photon propagation directions. To reduce this kind of uncertainty, we propose a guided Monte Carlo (GMC) method based on a direction mixture importance sampling strategy for simulating radiative transfer in a scattering medium. We validated the GMC method by implementing it in a backward Monte Carlo radiative transfer (BMCRT) code for the plane-parallel medium. Similar to the usual BMCRT method, the solution is determined by tracing photons from the detector towards the radiation source in the backward GMC method. Through test examples, we demonstrate the validity of the direction mixture importance sampling strategy and the GMC method.
关键词：enradiative transfer