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Published June 7, 2013 | Submitted
Journal Article Open

Dynamical excision boundaries in spectral evolutions of binary black hole spacetimes

Abstract

Simulations of binary black hole systems using the Spectral Einstein Code (SpEC) are done on a computational domain that excises the regions inside the black holes. It is imperative that the excision boundaries are outflow boundaries with respect to the hyperbolic evolution equations used in the simulation. We employ a time-dependent mapping between the fixed computational frame and the inertial frame through which the black holes move. The time-dependent parameters of the mapping are adjusted throughout the simulation by a feedback control system in order to follow the motion of the black holes, to adjust the shape and size of the excision surfaces so that they remain outflow boundaries, and to prevent large distortions of the grid. We describe in detail the mappings and control systems that we use. We show how these techniques have been essential in the evolution of binary black hole systems with extreme configurations, such as large spin magnitudes and high mass ratios, especially during the merger, when apparent horizons are highly distorted and the computational domain becomes compressed. The techniques introduced here may be useful in other applications of partial differential equations that involve time-dependent mappings.

Additional Information

© 2013 IOP Publishing Ltd. Received 17 December 2012, in final form 5 April 2013. Published 25 April 2013. We would like to thank Harald Pfeiffer for useful discussions. We would like to thank Abdul Mroué for performing simulations that led to the development and improvement of some of the mappings presented in this paper. We gratefully acknowledge support from the Sherman Fairchild Foundation; from NSF grants PHY-0969111 and PHY-1005426 at Cornell, and from NSF grants PHY-1068881 and PHY-1005655 at Caltech. Simulations used in this work were computed with the SpEC code [17]. Computations were performed on the Zwicky cluster at Caltech, which is supported by the Sherman Fairchild Foundation and by NSF award PHY-0960291; on the NSF XSEDE network under grant TG-PHY990007N; and on the GPC supercomputer at the SciNet HPC Consortium [29]. SciNet is funded by: the Canada Foundation for Innovation under the auspices of Compute Canada; the Government of Ontario; Ontario Research Fund–Research Excellence; and the University of Toronto.

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August 19, 2023
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