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Measuring the primordial gravitational-wave background in the presence of astrophysical foregrounds

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arxiv 2009.04418 v2 pith:ZU2AVREV submitted 2020-09-09 astro-ph.HE gr-qc

Sylvia Biscoveanu , Colm Talbot , Eric Thrane , Rory Smith This is my paper · ORCID
classification astro-ph.HEgr-qc
keywords backgroundastrophysicalprimordialforegroundgravitationalmethodpresencesince
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Primordial gravitational waves are expected to create a stochastic background encoding information about the early Universe that may not be accessible by other means. However, the primordial background is obscured by an astrophysical foreground consisting of gravitational waves from compact binaries. We demonstrate a Bayesian method for estimating the primordial background in the presence of an astrophysical foreground. Since the background and foreground signal parameters are estimated simultaneously, there is no subtraction step, and therefore we avoid astrophysical contamination of the primordial measurement, sometimes referred to as "residuals". Additionally, since we include the non-Gaussianity of the astrophysical foreground in our model, this method represents the statistically optimal approach to the simultaneous detection of a multi-component stochastic background.

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Cited by 3 Pith papers

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

  1. All You Need is not $\Omega_\mathrm{gw}$: Beyond the Mean of the Cross-Correlation Estimator when Searching for an Astrophysical Gravitational-Wave Background

    gr-qc 2026-08 conditional novelty 6.0 of 10

    For a two-detector Cosmic Explorer network, the cross-correlation estimator of the binary black hole background has skewness 0.31 and excess kurtosis 1.3 at 20 Hz, a non-Gaussianity that will matter for next-generatio...

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

    gr-qc 2026-07 conditional novelty 5.0 of 10

    On 108 days of simulated O4a-like LIGO noise, a deep-learning autoencoder plus MCMC pipeline detects a CBC background at Ωα≈4.5e-9 and separates a flat cosmological component at Ω0≈9e-10, outperforming the standard py...

  3. Inflationary phase transitions in the early Universe: A Bayesian study with space-based gravitational-wave detectors

    astro-ph.CO 2026-03 conditional novelty 5.0 of 10

    With a Taiji-like detector, inflationary phase-transition gravitational-wave backgrounds are detectable at SNR≳10, but reliable parameter reconstruction needs SNR≳33 and degrades with astrophysical foregrounds.

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