4.6 Article

FORNAX: A Flexible Code for Multiphysics Astrophysical Simulations

期刊

出版社

IOP Publishing Ltd
DOI: 10.3847/1538-4365/ab007f

关键词

methods: numerical

资金

  1. U.S. NSF [AST-1714267]
  2. Max-Planck/Princeton Center (MPPC) for Plasma Physics [NSF PHY-1144374]
  3. U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research [DE-SC0018297, 00009650]
  4. Princeton Institute for Computational Science and Engineering (PICSciE)
  5. Princeton University Office of Information Technology
  6. Scientific Discovery through Advanced Computing (SciDAC4) program [DE-SC0018297, 00009650]
  7. Office of Science of the US Department of Energy (DOE) [DE-AC03-76SF00098]
  8. National Science Foundation [OCI-0725070, ACI-1238993, OAC-1809073, ACI-1548562, TG-AST170045]
  9. state of Illinois
  10. US Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
  11. US Department of Energy by Los Alamos National Laboratory [DE-AC52-06NA25396]

向作者/读者索取更多资源

This paper describes the design and implementation of our new multigroup, multidimensional radiation hydrodynamics code FORNAX and provides a suite of code tests to validate its application in a wide range of physical regimes. Instead of focusing exclusively on tests of neutrino radiation hydrodynamics relevant to the core-collapse supernova problem for which FORNAX is primarily intended, we present here classical and rigorous demonstrations of code performance relevant to a broad range of multidimensional hydrodynamic and multigroup radiation hydrodynamic problems. Our code solves the comoving-frame radiation moment equations using the M1 closure, utilizes conservative high-order reconstruction, employs semi-explicit matter and radiation transport via a high-order time stepping scheme, and is suitable for application to a wide range of astrophysical problems. To this end, we first describe the philosophy, algorithms, and methodologies of FORNAX and then perform numerous stringent code tests that collectively and vigorously exercise the code, demonstrate the excellent numerical fidelity with which it captures the many physical effects of radiation hydrodynamics, and show excellent strong scaling well above 100,000 MPI tasks.

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