Constraint on Symmetric Teleparallel Gravity with Different Dark energy Parametrizations from DESI DR2 BAO Data
Rajdeep Mazumdar, Mrinnoy M. Gohain, Kalyan Bhuyan

TL;DR
This study tests symmetric teleparallel gravity with specific dark energy models against recent BAO data, showing it can effectively describe cosmic acceleration and fit observations as well as or better than standard models.
Contribution
It introduces constraints on $f(Q)$ gravity with dark energy parametrizations using the latest DESI BAO data, demonstrating its viability as an alternative to $ ext{Lambda}$CDM.
Findings
DESI DR2 data tightens model parameter constraints.
Models support transition from deceleration to acceleration.
$f(Q)$ models fit data as well or better than $ ext{Lambda}$CDM.
Abstract
We investigate the cosmological viability of symmetric teleparallel gravity, specifically the gravity model with a power-law form , in combination with two widely used dark energy parameterizations: Chevallier Polarski Linder (CPL) and Barboza Alcaniz (BA). Employing the most recent DESI DR2 Baryon Acoustic Oscillation (BAO) dataset along with previous BAO measurements, we constrain the model parameters through a robust Markov Chain Monte Carlo (MCMC) analysis. We examine the background evolution via key cosmological indicators including the Hubble parameter , deceleration parameter , the effective equation of state , and the Om diagnostic. Our results indicate that the inclusion of DESI DR2 data significantly tightens constraints on the model parameters and supports a consistent transition from decelerated to accelerated…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Noncommutative and Quantum Gravity Theories
