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GW230814: investigation of a loud gravitational-wave signal observed with a single detector

12 Pith papers cite this work. Polarity classification is still indexing.

12 Pith papers citing it
abstract

GW230814, detected by the LIGO Livingston observatory with a signal-to-noise ratio of 42.4, represents the loudest gravitational-wave signal in the GWTC-4.0 catalog. Its source is consistent with a binary black hole coalescence with component masses $m_1 = 33.7^{+2.9}_{-2.2}\,M_\odot$, $m_2=29.9^{+2.1}_{-2.8}\,M_\odot$, and a small effective inspiral spin $\chi_{\rm eff} = -0.01^{+0.06}_{-0.07}$. The high signal-to-noise ratio enabled us to detect an $\ell=|m|=4$ mode in the inspiral-merger-ringdown signal for the first time (with $\log_{10} \mathrm{BF}\simeq 1 $), and enables a range of tests of consistency between theoretical predictions and the observed waveform. While most of these tests show agreement with theoretical predictions, there are suggestions of minor deviations in the ringdown phase. Simulations that incorporate general relativity and realistic detector noise reproduce similar deviations, suggesting they do not constitute evidence for a breakdown of general relativity. The observation of GW230814 demonstrates that the unprecedented sensitivity of the detectors enables highly significant detections with a single observatory. However, without corroborating data from a multi-detector network, the ability to draw rigorous conclusions about fundamental physics remains severely limited.

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gr-qc 12

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2026 11 2025 1

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unclear 2 background 1

representative citing papers

Testing General Relativity with GWTC-4.0 through mixture models

gr-qc · 2026-07-08 · conditional · novelty 6.0

A mixture-model framework for combining gravitational-wave tests of General Relativity yields Bayes factors of 10-20 favoring GR, substantially lower than existing methods that assume uniform deviations across events.

Polarization Analysis of Ringdown Signals

gr-qc · 2026-05-14 · conditional · novelty 6.0

Constrained polarization model for Kerr ringdown modes enables inclination inference from two-detector data for non-precessing mergers but introduces biases when applied to precessing systems.

Constraining Gravitational Wave Memory with Hierarchical Inference

gr-qc · 2026-05-26 · unverdicted · novelty 5.0

Hierarchical Bayesian inference on GWTC-5.0 constrains the memory enhancement factor to 0.26 with large uncertainties consistent with the GR value of 1 and forecasts that 2000 detections are needed for a 1σ constraint away from zero.

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