TIGER: A data analysis pipeline for testing the strong-field dynamics of general relativity with gravitational wave signals from coalescing compact binaries
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Author(s) • • • • •
Agathos, M.
Del Pozzo, W.
Li, T. G. F.
Van Den Broeck, C.
Veitch, J.
Vitale, Salvatore
Date Issued
April 2014
Journal
Physical Review D
Publisher
American Physical Society
Citation
Agathos, M., W. Del Pozzo, T. G. F. Li, C. Van Den Broeck, J. Veitch, and S. Vitale. “TIGER: A Data Analysis Pipeline for Testing the Strong-Field Dynamics of General Relativity with Gravitational Wave Signals from Coalescing Compact Binaries.” Phys. Rev. D 89, no. 8 (April 2014). © 2014 American Physical Society.
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Final published version
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.
MIT Department
MIT Kavli Institute for Astrophysics and Space Research
LIGO (Observatory : Massachusetts Institute of Technology)
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DOI of Published Version
https://doi.org/10.1103/PhysRevD.89.082001