Modeling UV Radiation Feedback from Massive Stars: I. Implementation of Adaptive Ray Tracing Method and Tests
Jeong-Gyu Kim (1, 2), Woong-Tae Kim (1), Eve C. Ostriker (2), M., Aaron Skinner (2, 3) ((1) Seoul National University, (2) Princeton, University, (3) Lawrence Livermore National Laboratory)

TL;DR
This paper introduces an adaptive ray tracing module in the Athena code for accurate radiative transfer involving multiple sources, validated through tests and applied to star cluster formation simulation, highlighting its efficiency and accuracy.
Contribution
The paper presents a novel implementation of an adaptive ray tracing method with parallel algorithms in Athena, enabling efficient and accurate radiative transfer modeling for complex astrophysical simulations.
Findings
The ART implementation accurately models radiation propagation and HII region expansion.
Scaling tests show efficient performance on up to ~1000 processors.
Simulation results indicate a 12% star formation efficiency with radiation feedback included.
Abstract
We present an implementation of an adaptive ray tracing (ART) module in the Athena hydrodynamics code that accurately and efficiently handles the radiative transfer involving multiple point sources on a three-dimensional Cartesian grid. We adopt a recently proposed parallel algorithm that uses non-blocking, asynchronous MPI communications to accelerate transport of rays across the computational domain. We validate our implementation through several standard test problems including the propagation of radiation in vacuum and the expansions of various types of HII regions. Additionally, scaling tests show that the cost of a full ray trace per source remains comparable to that of the hydrodynamics update on up to processors. To demonstrate application of our ART implementation, we perform a simulation of star cluster formation in a marginally bound, turbulent cloud, finding that…
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