Testing f(R)-gravity models with DESI DR2 2025-BAO and other cosmological data

Abstract

Motivated by the new BAO data and the significant results recently published by the DESI DR2 Collaboration, this study presents a Markov Chain Monte Carlo (MCMC) analysis of all currently viable f (R) models using this new dataset, and compares its constraining power with that of previous BAO compilations. A corresponding Bayesian model comparison is then carried out. The results reveal, for the first time, very strong statistical evidence in favor of f (R) models over the standard ΛCDM scenario. The analysis also incorporates data from cosmic chronometers and the latest Pantheon++SH0ES supernovae compilation.

This article is an extended and data-updated version of Article astro-ph arXiv:2503.16132; therefore, a significant portion of its content overlaps with that of the latter

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Cited by in corpus (4)

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• Viability of general relativity and modified gravity cosmologies using high-redshift cosmic probes
• Cosmological Constraints on the DGP Model in light of DESI DR2 2025 Data
• Late-Time Cosmic Acceleration in Ricci-Gauss-Bonnet Gravity via Gradient Descent Optimization