Parametrized tests of the strong-field dynamics of general relativity using gravitational wave signals from coalescing binary black holes: Fast likelihood calculations and sensitivity of the method

Thanks to the recent discoveries of gravitational wave signals from binary black hole mergers by Advanced Laser Interferometer Gravitational Wave Observatory and Advanced Virgo, the genuinely strong-field dynamics of spacetime can now be probed, allowing for stringent tests of general relativity (GR...

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Main Authors: Meidam, Jeroen (Author), Tsang, Ka Wa (Author), Goldstein, Janna (Author), Agathos, Michalis (Author), Ghosh, Archisman (Author), Haster, Carl-Johan (Author), Raymond, Vivien (Author), Samajdar, Anuradha (Author), Schmidt, Patricia (Author), Smith, Rory (Author), Blackburn, Kent (Author), Del Pozzo, Walter (Author), Field, Scott E. (Author), Li, Tjonnie (Author), Pürrer, Michael (Author), Van Den Broeck, Chris (Author), Veitch, John (Author), Vitale, Salvatore (Contributor)
Other Authors: LIGO (Observatory : Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: American Physical Society, 2018-03-27T19:44:58Z.
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Summary:Thanks to the recent discoveries of gravitational wave signals from binary black hole mergers by Advanced Laser Interferometer Gravitational Wave Observatory and Advanced Virgo, the genuinely strong-field dynamics of spacetime can now be probed, allowing for stringent tests of general relativity (GR). One set of tests consists of allowing for parametrized deformations away from GR in the template waveform models and then constraining the size of the deviations, as was done for the detected signals in previous work. In this paper, we construct reduced-order quadratures so as to speed up likelihood calculations for parameter estimation on future events. Next, we explicitly demonstrate the robustness of the parametrized tests by showing that they will correctly indicate consistency with GR if the theory is valid. We also check to what extent deviations from GR can be constrained as information from an increasing number of detections is combined. Finally, we evaluate the sensitivity of the method to possible violations of GR.