A multiphysics and multiscale software environment for modeling astrophysical systems |
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Authors: | Simon Portegies Zwart Steve McMillan Stefan Harfst Derek Groen Michiko Fujii Breanndán Ó Nualláin Evert Glebbeek Douglas Heggie James Lombardi Piet Hut Vangelis Angelou Sambaran Banerjee Houria Belkus Tassos Fragos John Fregeau Evghenii Gaburov Rob Izzard Mario Juri? Stephen Justham Andrea Sottoriva Marcel Zemp |
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Institution: | 1. University of Amsterdam, Astronomical Institute ‘Anton Pannekoek’ and Section Computational Science, Kruislaan 403, 1098SJ Amsterdam, The Netherlands;2. Drexel University, Philadelphia, PA, USA;3. University of Tokyo, Tokyo, Japan;4. Utrecht University, Utrecht, The Netherlands;5. University of Edinburgh, Edinburgh, UK;6. Allegheny College, Meadville, PA, USA;7. Institute for Advanced Study, Princeton, USA;8. Rheinische Friedrich-Wilhelns Universitöt, Germany;9. Vrije Universiteit Brussel, Brussel, Belgium;10. Northwestern University, Evanston, IL, USA;11. University of Oxford, Oxford, UK;12. University of Maryland, College Park, MD, USA;13. Saint Mary’s University, Halifax, Canada;14. Tel Aviv University, Tel Aviv, Israel;15. University of California Santa Cruz, Santa Cruz, CA, USA |
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Abstract: | We present MUSE, a software framework for combining existing computational tools for different astrophysical domains into a single multiphysics, multiscale application. MUSE facilitates the coupling of existing codes written in different languages by providing inter-language tools and by specifying an interface between each module and the framework that represents a balance between generality and computational efficiency. This approach allows scientists to use combinations of codes to solve highly coupled problems without the need to write new codes for other domains or significantly alter their existing codes. MUSE currently incorporates the domains of stellar dynamics, stellar evolution and stellar hydrodynamics for studying generalized stellar systems. We have now reached a “Noah’s Ark” milestone, with (at least) two available numerical solvers for each domain. MUSE can treat multiscale and multiphysics systems in which the time- and size-scales are well separated, like simulating the evolution of planetary systems, small stellar associations, dense stellar clusters, galaxies and galactic nuclei. In this paper we describe three examples calculated using MUSE: the merger of two galaxies, the merger of two evolving stars, and a hybrid N-body simulation. In addition, we demonstrate an implementation of MUSE on a distributed computer which may also include special-purpose hardware, such as GRAPEs or GPUs, to accelerate computations. The current MUSE code base is publicly available as open source at http://muse.li. |
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