A Hybrid (Monte-Carlo/Deterministic) Approach for Multi-Dimensional Radiation Transport
Mathematical Physics
2015-05-28 v1 math.MP
Atmospheric and Oceanic Physics
Computational Physics
Abstract
A novel hybrid Monte Carlo transport scheme is demonstrated in a scene with solar illumination, scattering and absorbing 2D atmosphere, a textured reflecting mountain, and a small detector located in the sky (mounted on a satellite or a airplane). It uses a deterministic approximation of an adjoint transport solution to reduce variance, computed quickly by ignoring atmospheric interactions. This allows significant variance and computational cost reductions when the atmospheric scattering and absorption coefficient are small. When combined with an atmospheric photon-redirection scheme, significant variance reduction (equivalently acceleration) is achieved in the presence of atmospheric interactions.
Keywords
Cite
@article{arxiv.1105.1449,
title = {A Hybrid (Monte-Carlo/Deterministic) Approach for Multi-Dimensional Radiation Transport},
author = {Guillaume Bal and Anthony Davis and Ian Langmore},
journal= {arXiv preprint arXiv:1105.1449},
year = {2015}
}