We study the coupling of hydrodynamics and reactions in simulations of the double-detonation model for Type Ia supernovae. When assessing the convergence of simulations, the focus is usually on spatial resolution; however, the method of coupling the physics together as well as the tolerances used in integrating a reaction network also play an important role. In this paper, we explore how the choices made in both coupling and integrating the reaction portion of a simulation (operator/Strang splitting versus the simplified spectral deferred corrections method we introduced previously) influences the accuracy, efficiency, and nucleosynthesis of simulations of double detonations. We find no need to limit reaction rates or reduce the simulation time step to the reaction timescale. The entire simulation methodology used here is GPU-accelerated and made freely available as part of the Castro simulation code.
Sensitivity of Simulations of Double-detonation Type Ia Supernovae to Integration Methodology
Abstract
Copyright and License
© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
Castro is open source and freely available at https://github.com/AMReX-Astro/Castro. The problem setup used here is available in the git repo as subchandra. The reaction network infrastructure is contained in the AMReX-Astro Microphysics repository at https://github.com/AMReX-Astro/Microphysics. The initial model routines are available at https://github.com/AMReX-Astro/initial_models.
The work at Stony Brook was supported by DOE/Office of Nuclear Physics grant DE-FG02-87ER40317. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725, awarded through the DOE INCITE program. We thank NVIDIA Corporation for the donation of a Titan X and Titan V GPU through their academic grant program. This research has made use of NASA's Astrophysics Data System Bibliographic Services.
Facilities
NERSC - , OLCF -
Software References
AMReX (Zhang et al. 2019), Castro (Almgren et al. 2010, 2020), GCC (https://gcc.gnu.org/), helmeos (Timmes & Swesty 2000), linux (https://www.kernel.org/), matplotlib (Hunter 2007; http://matplotlib.org/), NetworkX (Hagberg et al. 2008), NumPy (Oliphant 2007; van der Walt et al. 2011), pynucastro (Willcox & Zingale 2018; Smith et al. 2023), python (https://www.python.org/), SymPy (Meurer et al. 2017), valgrind (Nethercote & Seward 2007), VODE (Brown et al. 1989), yt (Turk et al. 2011).
Code Availability
Castro is open source and freely available at https://github.com/AMReX-Astro/Castro. The problem setup used here is available in the git repo as subchandra. The reaction network infrastructure is contained in the AMReX-Astro Microphysics repository at https://github.com/AMReX-Astro/Microphysics. The initial model routines are available at https://github.com/AMReX-Astro/initial_models.
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Additional details
- ISSN
- 1538-4357
- United States Department of Energy
- DE-FG02- 87ER40317
- United States Department of Energy
- DE-AC02-05CH11231
- National Nuclear Security Administration
- 17-SC-20-SC
- United States Department of Energy
- DE-AC05-00OR22725
- Nvidia (United States)
- Caltech groups
- TAPIR, Walter Burke Institute for Theoretical Physics