Constraining Exponential f(Q) Gravity with Cosmic Chronometers and Supernovae: A Data-Driven Analysis
Sanjeeda Sultanaa, Surajit Chattopadhyay

TL;DR
This paper investigates an exponential $f(Q)$ gravity model using observational data to test its viability as an alternative explanation for cosmic acceleration, finding it consistent with observations but statistically less favored than $ ext{Lambda}$CDM.
Contribution
The paper introduces a novel exponential $f(Q)$ gravity model constrained by multiple cosmological datasets, demonstrating its compatibility with observations and exploring its dynamical behavior.
Findings
Supports late-time cosmic acceleration
Consistent with observational data and $ ext{Lambda}$CDM at low redshifts
Statistically less favored than $ ext{Lambda}$CDM but remains a viable alternative
Abstract
The current paper reports an investigation of the cosmological implications of symmetric teleparallel gravity within a modified theory. We construct a specific exponential model as , designed to smoothly deviate from General Relativity and accommodate both early-time inflation and late-time accelerated expansion. By employing Markov Chain Monte Carlo (MCMC) methods, we constrain the model parameters , , , and using a combination of cosmic chronometers (CC), Pantheon, and Pantheon Supernovae datasets. Our analysis demonstrates that the model consistently supports a late-time acceleration scenario and is in good agreement with current cosmological observations. We extensively analyze the dynamical behavior of the model using key cosmological diagnostics, including the…
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Taxonomy
TopicsCosmology and Gravitation Theories · Noncommutative and Quantum Gravity Theories · Particle physics theoretical and experimental studies
