Observational Constraints and Cosmic Growth Index of Realistic Gravity Frameworks using MCMC Analysis
arXiv:2609.16037
Abstract
We present a comprehensive observational analysis of modified Gauss--Bonnet, or , gravity by investigating both the background cosmological expansion and sub-horizon linear matter perturbations. We consider two viable functional forms: an arctangent parameterization (Model~I) and a generalized polynomial power-law model (Model~II). Using a Markov Chain Monte Carlo (MCMC) ensemble sampler, we constrain their parameter spaces through background and structure-growth observations. Our analysis employs cumulative combinations of Cosmic Chronometers (CC), the Pantheon+ Type Ia Supernovae compilation (PP), Redshift-Space Distortions (RSD), and the Year-1 Baryon Acoustic Oscillation measurements from the Dark Energy Spectroscopic Instrument (DESI BAO). The inclusion of DESI BAO data produces a noticeable downward shift in the preferred values of the Hubble constant, , and present matter density parameter, . For Model~II, the full analysis yields and . We further assess the statistical performance of the models relative to CDM using , , and . For Model~II, the full dataset gives and , favoring the CDM baseline. At the perturbation level, both models exhibit stable growth histories compatible with large-scale structure observations. The models predict transitions in the late-time expansion dynamics at and for Models~I and II, respectively, highlighting differences in their cosmological evolution.
28 pages, 7 figures