4.7 Article

Testing general relativity with gravitational-wave catalogs: The insidious nature of waveform systematics

Journal

ISCIENCE
Volume 24, Issue 6, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.isci.2021.102577

Keywords

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Funding

  1. European Union's H2020 ERC Starting Grant [945155-GWmining]
  2. Leverhulme Trust [RPG-2019-350]
  3. Royal Society [RGS-R2-202004]

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Gravitational wave observations of binary black holes offer a new testing ground for general relativity, with caution needed for waveform errors and their potential accumulation between events. The study highlights the importance of accurate waveform models and the need for caution in interpreting large gravitational wave catalogs to avoid erroneous evidence for new physics.
Gravitational-wave observations of binary black holes allow new tests of general relativity (GR) to be performed on strong, dynamical gravitational fields. These tests require accurate waveform models of the gravitational-wave signal; otherwise waveformerrors can erroneously suggest evidence for new physics. Existing waveforms are generally thought to be accurate enough for current observations, and each of the events observed to date appears to be individually consistent with GR. In the near future, with larger gravitational-wave catalogs, it will be possible to perform more stringent tests of gravity by analyzing large numbers of events together. However, there is a danger that waveform errors can accumulate among events: even if the waveform model is accurate enough for each individual event, it can still yield erroneous evidence for new physics when applied to a large catalog. This paper presents a simple linearized analysis, in the style of a Fisher matrix calculation that reveals the conditions under which the apparent evidence for new physics due to waveform errors grows as the catalog size increases. We estimate that, in the worst-case scenario, evidence for a deviation from GR might appear in some tests using a catalog containing as few as 10-30 events above a signal-to-noise ratio of 20. This is close to the size of current catalogs and highlights the need for caution when performing these sorts of experiments.

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