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Three-dimensional general-relativistic hydrodynamic simulations of binary neutron star coalescence and stellar collapse with multipatch grids

Reisswig, C. and Haas, R. and Ott, C. D. and Abdikamalov, E. and Mösta, P. and Pollney, D. and Schnetter, E. (2013) Three-dimensional general-relativistic hydrodynamic simulations of binary neutron star coalescence and stellar collapse with multipatch grids. Physical Review D, 87 (6). Art. No. 064023. ISSN 0556-2821. http://resolver.caltech.edu/CaltechAUTHORS:20130208-133528473

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Abstract

We present a new three-dimensional, general-relativistic hydrodynamic evolution scheme coupled to dynamical spacetime evolutions which is capable of efficiently simulating stellar collapse, isolated neutron stars, black hole formation, and binary neutron star coalescence. We make use of a set of adapted curvilinear grids (multipatches) coupled with flux-conservative, cell-centered adaptive mesh refinement. This allows us to significantly enlarge our computational domains while still maintaining high resolution in the gravitational wave extraction zone, the exterior layers of a star, or the region of mass ejection in merging neutron stars. The fluid is evolved with a high-resolution, shock-capturing finite volume scheme, while the spacetime geometry is evolved using fourth-order finite differences. We employ a multirate Runge-Kutta time-integration scheme for efficiency, evolving the fluid with second-order integration and the spacetime geometry with fourth-order integration. We validate our code by a number of benchmark problems: a rotating stellar collapse model, an excited neutron star, neutron star collapse to a black hole, and binary neutron star coalescence. The test problems, especially the latter, greatly benefit from higher resolution in the gravitational wave extraction zone, causally disconnected outer boundaries, and application of Cauchy-characteristic gravitational wave extraction. We show that we are able to extract convergent gravitational wave modes up to (ℓ,m)=(6,6). This study paves the way for more realistic and detailed studies of compact objects and stellar collapse in full three dimensions and in large computational domains. The multipatch infrastructure and the improvements to mesh refinement and hydrodynamics codes discussed in this paper will be made available as part of the open-source Einstein Toolkit.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1103/PhysRevD.87.064023DOIArticle
http://journals.aps.org/prd/abstract/10.1103/PhysRevD.87.064023PublisherArticle
http://arxiv.org/abs/1212.1191arXivDiscussion Paper
ORCID:
AuthorORCID
Ott, C. D.0000-0003-4993-2055
Additional Information:© 2013 American Physical Society. (Received 7 December 2012; published 18 March 2013) We acknowledge helpful discussions with Peter Diener, Frank Löffler, Uschi C. T. Gamma, and members of our Simulating eXtreme Spacetimes (SXS) Collaboration (http://www.black-holes.org). This research is partially supported by NSF Grants No. AST-0855535, No. AST-1212170, No. PHY-1212460, No. PHY-1151197, and No. OCI-0905046, by the Alfred P. Sloan Foundation, and by the Sherman Fairchild Foundation. C. R. acknowledges support by NASA through Einstein Postdoctoral Fellowship Grant No. PF2-130099 awarded by the Chandra X-ray center, which is operated by the Smithsonian Astrophysical Observatory for NASA under Contract No. NAS8-03060. R. H. acknowledges support by the Natural Sciences and Engineering Council of Canada. The simulations were performed on the Caltech compute cluster Zwicky (NSF MRI Grant No. PHY-0960291), on supercomputers of the NSF XSEDE network under computer time allocation TG-PHY100033, on machines of the Louisiana Optical Network Initiative under grant loni_numrel07, and at the National Energy Research Scientific Computing Center (NERSC), which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. All figures were generated with the Python-based matplotlib package (http://matplotlib.org/). C. R. is an Einstein Fellow, and C. D. O. is an Alfred P. Sloan Research Fellow.
Group:TAPIR
Funders:
Funding AgencyGrant Number
NSFAST-0855535
NSFAST-1212170
NSFPHY-1212460
NSFPHY-1151197
NSFOCI-0905046
Alfred P. Sloan FoundationUNSPECIFIED
Sherman Fairchild FoundationUNSPECIFIED
NASA Einstein Postdoctoral FellowshipPF2-130099
NASANAS8-03060
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
NSFPHY-0960291
Department of Energy (DOE)DE-AC02-05CH11231
NSFTG-PHY100033
Louisiana Optical Network Initiativeloni_numrel07
Classification Code:PACS numbers: 04.25.D�, 04.30.Db, 97.60.Bw, 02.70.Bf
Record Number:CaltechAUTHORS:20130208-133528473
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20130208-133528473
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:36829
Collection:CaltechAUTHORS
Deposited By: JoAnn Boyd
Deposited On:13 Feb 2013 19:26
Last Modified:20 Nov 2015 17:55

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