Can machine learning improve the detectability and disentanglement of the gravitational-wave background?

arXiv:2608.00281 · gr-qc, astro-ph.HE, astro-ph.IM · Submitted 2026-07-31 · Read on arXiv

Hugo Einsle, Marie Anne Bizouard, Tania Regimbau, Mairi Sakellariadou, Jishnu Suresh

gr-qc, astro-ph.HE, astro-ph.IM

Submitted: 2026-07-31

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Bayesian Inference — 2× in this paper · explained in 5 episodes
• Hybrid Approach — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Phase Transitions — 1× in this paper · explained in 2 episodes
• Signal-to-noise ratio (SNR) — 1× in this paper · explained in 2 episodes
• Topological Defects — 1× in this paper · explained in 2 episodes

Sources

• Stochastic Gravitational Wave Backgrounds
• Cosmological Backgrounds of Gravitational Waves
• The astrophysical gravitational wave stochastic background
• Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA
• Cosmological and High Energy Physics implications from gravitational-wave background searches in LIGO-Virgo-KAGRA's O1-O4a runs
• GWTC-5.0: Observations from the Second Part of the Fourth LIGO-Virgo-KAGRA Observing Run and Updates to the Gravitational-Wave Transient Catalog
• Upper Limits on the Isotropic Gravitational-Wave Background from the first part of LIGO, Virgo, and KAGRA's fourth Observing Run
• Detecting a stochastic background of gravitational radiation: Signal processing strategies and sensitivities
• Detecting a stochastic gravitational-wave background in the presence of correlated magnetic noise
• Simultaneous estimation of astrophysical and cosmological stochastic gravitational-wave backgrounds with terrestrial detectors
• Advanced LIGO
• Digging deeper: Observing primordial gravitational waves below the binary black hole produced stochastic background
• Searching for cosmological gravitational-wave backgrounds with third-generation detectors in the presence of an astrophysical foreground
• Subtracting Compact Binary Foregrounds to Search for Subdominant Gravitational-Wave Backgrounds in Next-Generation Ground-Based Observatories
• Searching for cosmological stochastic backgrounds by notching out resolvable compact binary foregrounds with next-generation gravitational-wave detectors
• Measuring the primordial gravitational-wave background in the presence of astrophysical foregrounds
• Gravitational-wave background detection using machine learning
• A mock data challenge for next-generation detectors
• Probing the gravitational wave background from cosmic strings with LISA
• BICEP / Keck XIII: Improved Constraints on Primordial Gravitational Waves using Planck, WMAP, and BICEP/Keck Observations through the 2018 Observing Season

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