Constraints on the exponential $f(R)$ model from latest Hubble parameter measurements
Yun Chen, Chao-Qiang Geng, Chung-Chi Lee, Ling-Wei Luo, Zong-Hong Zhu

TL;DR
This paper constrains an exponential $f(R)$ gravity model using recent Hubble parameter data, supernovae, BAO, and CMB measurements, finding parameter bounds and analyzing cosmic evolution, but cannot distinguish it from $\\Lambda$CDM with current data.
Contribution
It provides observational bounds on the exponential $f(R)$ gravity model using multiple cosmological datasets and analyzes its cosmic evolution.
Findings
Bounds on model parameters: $0.240<\Omega_m^0<0.296$, $\beta>1.47$ at 1$\sigma$
Transition redshift $z_T$ approximately 0.77
Current data cannot distinguish exponential $f(R)$ from $\Lambda$CDM
Abstract
We investigate the viable exponential gravity in the metric formalism with . The latest sample of the Hubble parameter measurements with 23 data points is used to place bounds on this model. A joint analysis is also performed with the luminosity distances of Type Ia supernovae and baryon acoustic oscillations in the clustering of galaxies, and the shift parameters from the cosmic microwave background measurements, which leads to and at 1 confidence level. The evolutions of the deceleration parameter and the effective equations of state and are displayed. By taking the best-fit parameters as prior values, we work out the transition redshift (deceleration/acceleration) to be about 0.77. It turns out that the recent observations are still…
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.
