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Revisiting the evidence for precession in GW200129 with machine learning noise mitigation

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arxiv 2311.09921 v2 pith:7ZJNMQDS submitted 2023-11-16 gr-qc astro-ph.IM

Ronaldas Macas , Andrew Lundgren , Gregory Ashton This is my paper · ORCID
classification gr-qcastro-ph.IM
keywords noisegw200129precessionbroadbandevidenceligolivingstonnetwork
verification ladder T0 review T1 audit T2 compute T3 formal
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GW200129 is claimed to be the first-ever observation of the spin-disk orbital precession detected with gravitational waves (GWs) from an individual binary system. However, this claim warrants a cautious evaluation because the GW event coincided with a broadband noise disturbance in LIGO Livingston caused by the 45 MHz electro-optic modulator system. In this paper, we present a state-of-the-art neural network that is able to model and mitigate the broadband noise from the LIGO Livingston interferometer. We also demonstrate that our neural network mitigates the noise better than the algorithm used by the LIGO-Virgo-KAGRA collaboration. Finally, we re-analyse GW200129 with the improved data quality and show that the evidence for precession is still observed.

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Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference

    astro-ph.HE 2025-09 conditional novelty 7.0 of 10

    A unified error statistic E-hat measures information lost to Monte Carlo noise in hierarchical Bayesian inference, with a recommended cutoff of 0.2 bits.

  2. Joint inference for gravitational-wave signal and noise glitch: Method and application

    gr-qc 2026-07 accept novelty 6.0 of 10

    A bilby-based joint signal-glitch inference pipeline recovers unbiased parameters in simulations and shows GW200129 spin-precession evidence is sensitive to the waveform-plus-glitch-model combination.

  3. Signatures of a subpopulation of hierarchical mergers in the GWTC-4 gravitational-wave dataset

    gr-qc 2026-01 unverdicted novelty 6.0 of 10

    Using a joint effective-spin and precession-spin model on 155 gravitational-wave events, the authors infer that the hierarchical (second-generation) merger fraction rises sharply above ~46 M_sun and peaks again near 1...

  4. PhenomXPNR: An improved gravitational wave model linking precessing inspirals and NR-calibrated merger-ringdown

    gr-qc 2025-07 conditional novelty 4.0 of 10

    PhenomXPNR is a fast frequency-domain gravitational-wave template for spinning black-hole mergers that combines post-Newtonian inspiral precession with numerical-relativity-calibrated merger and ringdown.

  5. The first decade of gravitational-wave measurements of black hole spins

    gr-qc 2026-06 unverdicted novelty 1.0 of 10

    A review summarizing formation-channel predictions, waveform effects, and population-level constraints on stellar-mass black hole spins from the first decade of gravitational-wave observations.

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