2008/04/09 by Michael Gittings, Robert Weaver, Michael Clover +9 · 1 citation
Engineering · Mathematics · Physics and Astronomy · #Gas Dynamics and Kinetic Theory #Nuclear reactor physics and engineering #Numerical methods for differential equations #physics.comp-ph #physics.plasm-ph
paper · pdf · doi:10.1088/1749-4699/1/1/015005
published as Comput. Sci. Disc. 1 (2008) 015005 · submitted to Computational Science and Discovery
arxiv created 2008/04/09 · openalex publication_date 2008/11/20 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/30
We describe RAGE, the 'radiation adaptive grid Eulerian' radiation-hydrodynamics code, including its data structures, its parallelization strategy and performance, its hydrodynamic algorithm(s), its (gray) radiation diffusion algorithm, and some of the considerable amount of verification and validation efforts. The hydrodynamics is a basic Godunov solver, to which we have made significant improvements to increase the advection algorithm's robustness and to converge stiffnesses in the equation of state. Similarly, the radiation transport is a basic gray diffusion, but our treatment of the radiation–material coupling, wherein we converge nonlinearities in a novel manner to allow larger timesteps and more robust behavior, can be applied to any multi-group transport algorithm.