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Targeted numerical simulations of binary black holes for GW170104

Healy, J. and Lange, J. and O’Shaughnessy, R. and Lousto, C. O. and Campanelli, M. and Williamson, A. R. and Zlochower, Y. and Calderón Bustillo, J. and Clark, J. A. and Evans, C. and Ferguson, D. and Ghonge, S. and Jani, K. and Khamesra, B. and Laguna, P. and Shoemaker, D. M. and Boyle, M. and García, A. and Hemberger, D. A. and Kidder, L. E. and Kumar, P. and Lovelace, G. and Pfeiffer, H. P. and Scheel, M. A. and Teukolsky, S. A. (2018) Targeted numerical simulations of binary black holes for GW170104. Physical Review D, 97 (6). Art. No. 064027. ISSN 2470-0010. https://resolver.caltech.edu/CaltechAUTHORS:20180327-091526389

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Abstract

In response to LIGO’s observation of GW170104, we performed a series of full numerical simulations of binary black holes, each designed to replicate likely realizations of its dynamics and radiation. These simulations have been performed at multiple resolutions and with two independent techniques to solve Einstein’s equations. For the nonprecessing and precessing simulations, we demonstrate the two techniques agree mode by mode, at a precision substantially in excess of statistical uncertainties in current LIGO’s observations. Conversely, we demonstrate our full numerical solutions contain information which is not accurately captured with the approximate phenomenological models commonly used to infer compact binary parameters. To quantify the impact of these differences on parameter inference for GW170104 specifically, we compare the predictions of our simulations and these approximate models to LIGO’s observations of GW170104.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/PhysRevD.97.064027DOIArticle
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.97.064027PublisherArticle
https://arxiv.org/abs/1712.05836arXivDiscussion Paper
ORCID:
AuthorORCID
Evans, C.0000-0003-3256-011X
Kidder, L. E.0000-0001-5392-7342
Lovelace, G.0000-0002-7084-1070
Pfeiffer, H. P.0000-0001-9288-519X
Teukolsky, S. A.0000-0001-9765-4526
Additional Information:© 2018 American Physical Society. Received 15 December 2017; published 23 March 2018. The authors thank S. Husa, C. Berry, K. Chatziioannou, and A. Zimmerman for their feedback on this work. The RIT authors gratefully acknowledge the NSF for financial support from Grants No. PHY-1607520, No. PHY-1707946, No. ACI-1550436, No. AST-1516150, No. ACI-1516125, and No. PHY-1726215. This work used the Extreme Science and Engineering Discovery Environment (XSEDE) [allocation TG-PHY060027N], which is supported by NSF Grant No. ACI-1548562. Computational resources were also provided by the NewHorizons and BlueSky Clusters at the Rochester Institute of Technology, which were supported by NSF Grants No. PHY-0722703, No. DMS-0820923, No. AST-1028087, and No. PHY-1229173. R. O. S. is supported by NSF Grants No. AST-1412449, No. PHY-1505629, and No. PHY-1607520. The GT authors gratefully acknowledge NSF support through Grants No. PHY-1505824, No. 1505524, and No. XSEDE TG-PHY120016. They also gratefully acknowledge support from the Cullen-Peck and Dunn Families. The SXS Collaboration authors gratefully acknowledge the Sherman Fairchild Foundation and NSF for financial support from Grants No. PHY-1307489, No. PHY-1606522, No. PHY-1606654, and No. AST-1333129. They also gratefully acknowledge support for this research at CITA from NSERC of Canada, the Ontario Early Researcher Awards Program, the Canada Research Chairs Program, and the Canadian Institute for Advanced Research. Calculations were done on the ORCA computer cluster, supported by NSF Grant No. PHY-1429873, the Research Corporation for Science Advancement, CSU Fullerton, the GPC supercomputer at the SciNet HPC Consortium [113]; SciNet is funded by the Canada Foundation for Innovation (CFI) under the auspices of Compute Canada; the Government of Ontario; Ontario Research Fund (ORF)—Research Excellence; and the University of Toronto. Further calculations were performed on the Briarée cluster at Sherbrooke University, managed by Calcul Québec and Compute Canada and with operation funded by the Canada Foundation for Innovation (CFI), Ministére de l’Économie, de l’Innovation et des Exportations du Quebec (MEIE), RMGA and the Fonds de recherche du Québec—Nature et Technologies (FRQ-NT).
Group:Astronomy Department
Funders:
Funding AgencyGrant Number
NSFPHY-1607520
NSFPHY-1707946
NSFACI-1550436
NSFAST-1516150
NSFACI-1516125
NSFPHY-1726215
NSFTG-PHY060027N
NSFACI-1548562
NSFPHY-0722703
NSFDMS-0820923
NSFAST-1028087
NSFPHY-1229173
NSFAST-1412449
NSFPHY-1505629
NSFPHY-1607520
NSFPHY-1505824
NSFPHY-1505524
NSFTG-PHY120016
Cullen-Peck FamilyUNSPECIFIED
Dunn FamilyUNSPECIFIED
Sherman Fairchild FoundationUNSPECIFIED
NSFPHY-1307489
NSFPHY-1606522
NSFPHY-1606654
NSFAST-1333129
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
Ontario Early Researcher Awards ProgramUNSPECIFIED
Canada Research Chairs ProgramUNSPECIFIED
Canadian Institute for Advanced Research (CIFAR)UNSPECIFIED
NSFPHY-1429873
Research CorporationUNSPECIFIED
California State University, FullertonUNSPECIFIED
SciNet HPC ConsortiumUNSPECIFIED
Canada Foundation for InnovationUNSPECIFIED
Compute CanadaUNSPECIFIED
Government of OntarioUNSPECIFIED
Ontario Research FundUNSPECIFIED
University of TorontoUNSPECIFIED
Ministére de l’Économie, de l’Innovation et des Exportations du Quebec (MEIE)UNSPECIFIED
RMGAUNSPECIFIED
Fonds de recherche du Québec-Nature et Technologies (FRQ-NT)UNSPECIFIED
Issue or Number:6
Record Number:CaltechAUTHORS:20180327-091526389
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180327-091526389
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85450
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Mar 2018 18:38
Last Modified:09 Mar 2020 13:19

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