Constraining a $f(R, L_m)$ Gravity Cosmological Model with Observational Data
G. K. Goswami, Anirudh Pradhan, Syamala Krishnannair

TL;DR
This paper explores a modified gravity model described by a specific function of curvature and matter Lagrangian, constrains its parameters using observational data, and finds it consistent with current cosmological observations, offering an alternative to LambdaCDM.
Contribution
The paper introduces and constrains a novel f(R, L_m) gravity model using observational data, demonstrating its viability as an alternative to standard cosmology.
Findings
Best-fit H_0 = 72.77 km/s/Mpc, higher than Planck 2018 value
Model predicts transition redshift z_t rac14; 0.76 for cosmic acceleration
Bayesian analysis shows comparable support to LambdaCDM
Abstract
We investigate a spatially flat FLRW cosmological model in the framework of modified gravity described by the function \( f(R, L_m) = \alpha R + L_m^\beta + \gamma \), where \( L_m \) is the matter Lagrangian density. The modified Friedmann equations yield the Hubble parameter as with the parameters \( \lambda = \frac{\gamma}{6\alpha H_0^2} + 1 \) and \( w = \frac{\beta(n - 2) + 1}{2\beta - 1} \). Using a Bayesian Markov Chain Monte Carlo (MCMC) approach, we constrain the model parameters with recent observational data, including cosmic chronometers, the Pantheon+ Supernovae dataset, Baryon Acoustic Oscillations (BAO), and Cosmic Microwave Background (CMB) shift parameters. The best-fit values are found to be \( H_0 = 72.773^{+0.148}_{-0.152} \) km/s/Mpc, \( \lambda = 0.289^{+0.007}_{-0.007} \), and \( w =…
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