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Published December 3, 2020 | Submitted
Journal Article Open

Axisymmetric hydrodynamics in numerical relativity using a multipatch method

Abstract

We describe a method of implementing the axisymmetric evolution of general-relativistic hydrodynamics and magnetohydrodynamics through modification of a multipatch grid scheme. In order to ease the computational requirements required to evolve the post-merger phase of systems involving binary compact massive objects in numerical relativity, it is often beneficial to take advantage of these system's tendency to rapidly settle into states that are nearly axisymmetric, allowing for 2D evolution of secular timescales. We implement this scheme in the spectral Einstein code and show the results of application of this method to four test systems including viscosity, magnetic fields, and neutrino radiation transport. Our results show that this method can be used to quickly allow already existing 3D infrastructure that makes use of local coordinate system transformations to be made to run in axisymmetric 2D with the flexible grid creation capabilities of multipatch methods. Our code tests include a simple model of a binary neutron star postmerger remnant, for which we confirm the formation of a massive torus which is a promising source of post-merger ejecta.

Additional Information

© 2020 IOP Publishing. Received 6 July 2020, revised 9 September 2020. Accepted for publication 29 September 2020. Published 10 November 2020. JJ would like to acknowledge Guy Worthey and Sukanta Bose for providing useful comments on an earlier draft of this paper. MD would like to acknowledge useful discussions with Thomas Baumgarte, which helped MD overcome his prejudice against analytical treatment of coordinate singularities. JJ gratefully acknowledges support from the Washington NASA Space Grant Consortium, NASA Grant NNX15AJ98H. MD gratefully acknowledges support from the NSF through Grant PHY-1806207. FF and AK gratefully acknowledge support from the NSF through Grant PHY-1806278, from NASA through Grant 80NSSC18K0565, and DOE-CAREER Grant DE-SC0020435. HP gratefully acknowledges support from the NSERC Canada. LK acknowledges support from NSF Grant PHY-1606654 and PHY-1912081. FH and MS acknowledge support from NSF Grants PHY-170212 and PHY-1708213. FH, LK and MS also thank the Sherman Fairchild Foundation for their support.

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August 20, 2023
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October 20, 2023