Discrete diffusion Lyman-alpha radiative transfer
Aaron Smith, Benny T.-H. Tsang, Volker Bromm, Milos Milosavljevic

TL;DR
The paper introduces a novel resonant discrete diffusion Monte Carlo (rDDMC) method for Lyα radiative transfer, significantly improving computational efficiency in high optical depth regimes and enabling more feasible 3D radiative transfer simulations.
Contribution
A new rDDMC method that treats spatial and frequency diffusion equally, enhancing efficiency over traditional Monte Carlo methods in Lyα radiative transfer.
Findings
Achieves speedups of 10^2 to 10^6 times compared to existing methods.
Runtime scales with resolution, not number of scatterings, reducing computational cost.
Demonstrates robustness and potential for 3D on-the-fly Lyα radiative transfer.
Abstract
Due to its accuracy and generality, Monte Carlo radiative transfer (MCRT) has emerged as the prevalent method for Ly radiative transfer in arbitrary geometries. The standard MCRT encounters a significant efficiency barrier in the high optical depth, diffusion regime. Multiple acceleration schemes have been developed to improve the efficiency of MCRT but the noise from photon packet discretization remains a challenge. The discrete diffusion Monte Carlo (DDMC) scheme has been successfully applied in state-of-the-art radiation hydrodynamics (RHD) simulations. Still, the established framework is not optimal for resonant line transfer. Inspired by the DDMC paradigm, we present a novel extension to resonant DDMC (rDDMC) in which diffusion in space and frequency are treated on equal footing. We explore the robustness of our new method and demonstrate a level of performance that…
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