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TIGER: A data analysis pipeline for testing the strong-field dynamics of general relativity with gravitational wave signals from coalescing compact binaries

Agathos, M. and Del Pozzo, W. and Li, T. G. F. and Van Den Broeck, C. and Veitch, J. and Vitale, S. (2014) TIGER: A data analysis pipeline for testing the strong-field dynamics of general relativity with gravitational wave signals from coalescing compact binaries. Physical Review D, 89 (8). Art. No. 082001. ISSN 2470-0010. http://resolver.caltech.edu/CaltechAUTHORS:20140520-094450488

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Abstract

The direct detection of gravitational waves with upcoming second-generation gravitational wave observatories such as Advanced LIGO and Advanced Virgo will allow us to probe the genuinely strong-field dynamics of general relativity (GR) for the first time. We have developed a data analysis pipeline called TIGER (test infrastructure for general relativity), which uses signals from compact binary coalescences to perform a model-independent test of GR. In this paper we focus on signals from coalescing binary neutron stars, for which sufficiently accurate waveform models are already available which can be generated fast enough on a computer that they can be used in Bayesian inference. By performing numerical experiments in stationary, Gaussian noise, we show that for such systems, TIGER is robust against a number of unmodeled fundamental, astrophysical, and instrumental effects, such as differences between waveform approximants, a limited number of post-Newtonian phase contributions being known, the effects of neutron star tidal deformability on the orbital motion, neutron star spins, and instrumental calibration errors.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1103/PhysRevD.89.082001DOIArticle
http://journals.aps.org/prd/abstract/10.1103/PhysRevD.89.082001PublisherArticle
http://arxiv.org/abs/1311.0420arXivWorking Paper
Additional Information:© 2014 American Physical Society. Received 3 November 2013; revised manuscript received 9 February 2014; published 4 April 2014. M. A., W. D. P., T. G. F. L., C. V. D. B., and J. V. were supported by the research programme of the Foundation for Fundamental Research on Matter (FOM), which is partially supported by the Netherlands Organisation for Scientific Research (NWO). S. V. acknowledges the support of the National Science Foundation and the LIGO Laboratory. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation and operates under cooperative agreement PHY-0757058. The authors would like to acknowledge the LIGO Data Grid clusters, without which the simulations could not have been performed. Specifically, these include the computing resources supported by National Science Foundation Grants No. PHY-0923409 and No. PHY-0600953 to UW-Milwaukee. Also, we thank the Albert Einstein Institute in Hannover, supported by the Max-Planck-Gesellschaft, for use of the Atlas high-performance computing cluster. It is a pleasure to thank E. Berti, A. ter Braack, A. Buonanno, N. Cornish, J. D. E. Creighton, W. M. Farr, B. R. Iyer, C. K. Mishra, C. Pollice, B. S. Sathyaprakash, R. Sturani, and N. Yunes for useful discussions.
Group:LIGO
Funders:
Funding AgencyGrant Number
Foundation for Fundamental Research on Matter (FOM)UNSPECIFIED
Netherlands Organisation for Scientific Research (NWO)UNSPECIFIED
NSFUNSPECIFIED
LIGO LaboratoryUNSPECIFIED
NSFPHY-0923409
NSFPHY-0600953
Issue or Number:8
Classification Code:PACS numbers: 04.80.Cc, 04.30.-w, 02.70.Uu
Record Number:CaltechAUTHORS:20140520-094450488
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140520-094450488
Official Citation:Agathos, M., Del Pozzo, W., Li, T. G. F., Van Den Broeck, C., Veitch, J., & Vitale, S. (2014). TIGER: A data analysis pipeline for testing the strong-field dynamics of general relativity with gravitational wave signals from coalescing compact binaries. Physical Review D, 89(8), 082001.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:45838
Collection:CaltechAUTHORS
Deposited By: Jason Perez
Deposited On:22 May 2014 17:34
Last Modified:06 Sep 2019 22:13

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