Abstract
ABSTRACTWe present a new smoothed particle hydrodynamics-radiative transfer method (sph-m1rt) that is coupled dynamically with sph. We implement it in the (task-based parallel) swift galaxy simulation code but it can be straightforwardly implemented in other sph codes. Our moment-based method simultaneously solves the radiation energy and flux equations in sph, making it adaptive in space and time. We modify the m1 closure relation to stabilize radiation fronts in the optically thin limit. We also introduce anisotropic artificial viscosity and high-order artificial diffusion schemes, which allow the code to handle radiation transport accurately in both the optically thin and optically thick regimes. Non-equilibrium thermochemistry is solved using a semi-implicit sub-cycling technique. The computational cost of our method is independent of the number of sources and can be lowered further by using the reduced speed-of-light approximation. We demonstrate the robustness of our method by applying it to a set of standard tests from the cosmological radiative transfer comparison project of Iliev et al. The sph-m1rt scheme is well-suited for modelling situations in which numerous sources emit ionizing radiation, such as cosmological simulations of galaxy formation or simulations of the interstellar medium.
Highlights
Almost everything we know about galaxies and most of what we know about stars comes from studying their radiation
This formulation of anisotropic viscosity in Smoothed particle hydrodynamics (SPH) is novel and we suggest that it may be applicable to other situations as well, for example when implementing magneto-hydrodynamics or cosmic ray propagation
We have developed a numerical radiation hydrodynamics scheme based on the two-moment method and using and improved closure relation
Summary
Almost everything we know about galaxies and most of what we know about stars comes from studying their radiation. Radiation pressure on gas and dust can affect the dynamics of the gas directly. Including the effects of radiation in numerical models is challenging: the equation that accounts for the change of intensity of a light ray resulting from emission and absorption is 7D. The CLOUDY code, last described by Ferland et al (2017), implements in great detail the interaction between radiation and matter in simple geometries assuming equilibrium conditions. Accounting for absorption and re-emission of light by dust in more complex geometries has been implemented using Monte Carlo radiative transfer in for example the SKIRT (Baes & Camps 2015), SUNRISE (Jonsson 2006), CMACIONIZE (Vandenbroucke & Wood 2018), and AREPO-MCRT (Smith et al 2020) codes.
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