Baryon fraction from the BAO amplitude: a consistent approach to parameterizing perturbation growth
Andrea Crespi, Will J. Percival, Alex Krolewski, Marco Bonici, Hanyu Zhang, and Jessica Nicole Aguilar, Steven Ahlen, Abhijeet Anand, Davide Bianchi, David Brooks, Edmond Chaussidon, Todd Claybaugh, Todd Cuceu, Axel de la Macorra, Peter Doel, Simone Ferraro, Andreu Font-Ribera

TL;DR
This paper introduces a new method to measure the baryon fraction from galaxy clustering data, improving accuracy and reducing biases by embedding an extra parameter into the perturbation growth equations, and validates it with DESI-like errors.
Contribution
A novel approach that incorporates an additional parameter into the growth equations in CAMB, enabling more robust and unbiased baryon fraction measurements from large-scale structure data.
Findings
Achieves comparable precision to previous methods
Reduces systematic biases in baryon fraction estimation
Strengthens the use of baryon fraction for cosmological parameter inference
Abstract
Galaxy clustering constrains the baryon fraction Omega_b/Omega_m through the amplitude of baryon acoustic oscillations and the suppression of perturbations entering the horizon before recombination. This produces a different pre-recombination distribution of baryons and dark matter. After recombination, the gravitational potential responds to both components in proportion to their mass, allowing robust measurement of the baryon fraction. This is independent of new-physics scenarios altering the recombination background (e.g. Early Dark Energy). The accuracy of such measurements does, however, depend on how baryons and CDM are modeled in the power spectrum. Previous template-based splitting relied on approximate transfer functions that neglected part of information. We present a new method that embeds an extra parameter controlling the balance between baryons and dark matter in the…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Dark Matter and Cosmic Phenomena
