Model-Independent Test of Prerecombination New Physics: Measuring the Sound Horizon with Gravitational Wave Standard Sirens and the Baryon Acoustic Oscillation Angular Scale
William Giar\`e, Jonathan Betts, Carsten van de Bruck, Eleonora Di Valentino

TL;DR
This paper proposes a model-independent method to measure the sound horizon at the baryon-drag epoch using upcoming gravitational wave and BAO measurements, providing a new way to test cosmological models and address the Hubble tension.
Contribution
It introduces a novel approach combining GW standard sirens and BAO angular scale measurements for model-independent estimation of the sound horizon.
Findings
Forecasts a 1.5% precision in measuring the sound horizon with upcoming surveys.
Provides a method to test the consistency of the $ m extLambda$CDM model.
Potential to clarify the Hubble tension and detect new physics before recombination.
Abstract
In a broad class of cosmological models where spacetime is described by a pseudo-Riemannian manifold, photons propagate along null geodesics, and their number is conserved, upcoming Gravitational Wave (GW) observations can be combined with measurements of the Baryon Acoustic Oscillation (BAO) angular scale to provide model-independent estimates of the sound horizon at the baryon-drag epoch. By focusing on the accuracy expected from forthcoming surveys such as LISA GW standard sirens and DESI or Euclid angular BAO measurements, we forecast a relative precision of within the redshift range . This approach will offer a unique model-independent measure of a fundamental scale characterizing the early universe, which is competitive with model-dependent values inferred within specific theoretical frameworks. These measurements can serve…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications
