Journal of Holography Applications in Physics
Testing Logarithmic f(G) Model with Observational Data Sets
Document Type : Regular article
Authors
1 Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International, Deemed University, Pune-440008, Maharashtra, India
2 Rwanda Astrophysics Space and Climate Science Research Group, University of Rwanda, College of Science and Technology, Kigali, Rwanda
3 Department of Mathematics and Statistics, College of Science, King Faisal University, P.O. Box 400, Al Ahsa 31982, Saudi Arabia
Abstract
In this study, we have put the mechanism for a Friedmann equation of modified f(G) gravity by solving it with numerical method in the view of matter with pressure-less condition. This mechanism allows us to forecast the redshift action of expansion rate of the Hubble. Here, in this paper, we have applied a Bayesian Markov Chain Monte Carlo (MCMC) technique, which is applying late time cosmic observances to put limitation on the model parameters of the Gauss Bonnet . Our understanding results in the fact that the $f(G)$ model can restore low redshift action of the standard ($\Lambda$ CDM) model. We have used Hubble (OHD), Pantheon and RSD for MCMC analysis of the logarithmic model of $f(G)$ and to constrain parameters including \(\Omega_m\) and \(H_{0}\).
Keywords
Main Subjects
Article PDF
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)
Volume 6, Issue 4
May 2026Pages 185-216
- Receive Date: 09 February 2026
- Revise Date: 09 May 2026
- Accept Date: 09 April 2026