4.4 Article

Testing general relativity using gravitational wave signals from the inspiral, merger and ringdown of binary black holes

期刊

CLASSICAL AND QUANTUM GRAVITY
卷 35, 期 1, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-6382/aa972e

关键词

gravitational waves; tests of general relativity; binary black holes

资金

  1. AIRBUS Group Corporate Foundation through a chair in 'Mathematics of Complex Systems' at ICTS
  2. Science and Engineering Research Board (SERB), India
  3. SERB FastTrack fellowship [SR/FTP/PS-191/2012]
  4. Max Planck Society
  5. Department of Science and Technology, India through Max Planck Partner Group at ICTS
  6. Leverhulme Trust
  7. Science and Technology Facilities Council
  8. Science and Technology Facilities Council [ST/L000962/1, ST/N005430/1, Gravitational Waves, ST/N000064/1, ST/I006285/1, ST/I006285/1 Gravitational Waves, ST/J000345/1, ST/L000962/1 Gravitational Waves, ST/J000345/1 Gravitational Waves] Funding Source: researchfish
  9. STFC [Gravitational Waves, ST/L000962/1, ST/I006285/1, ST/N000064/1, ST/N005430/1, ST/J000345/1] Funding Source: UKRI

向作者/读者索取更多资源

Advanced LIGO's recent observations of gravitational waves (GWs) from merging binary black holes have opened up a unique laboratory to test general relativity (GR) in the highly relativistic regime. One of the tests used to establish the consistency of the first LIGO event with a binary black hole merger predicted by GR was the inspiral-merger-ringdown consistency test. This involves inferring the mass and spin of the remnant black hole from the inspiral (low-frequency) part of the observed signal and checking for the consistency of the inferred parameters with the same estimated from the post-inspiral (high-frequency) part of the signal. Based on the observed rate of binary black hole mergers, we expect the advanced GW observatories to observe hundreds of binary black hole mergers every year when operating at their design sensitivities, most of them with modest signal to noise ratios (SNRs). Anticipating such observations, this paper shows how constraints from a large number of events with modest SNRs can be combined to produce strong constraints on deviations from GR. Using kludge modified GR waveforms, we demonstrate how this test could identify certain types of deviations from GR if such deviations are present in the signal waveforms. We also study the robustness of this test against reasonable variations of a variety of different analysis parameters.

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