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Testing f(R)-gravity models with DESI DR2 2025-BAO and other cosmological data
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Motivated by the new BAO data and the significant results recently published by the DESI DR2 Collaboration, this study presents a Markov Chain Monte Carlo (MCMC) analysis of all currently viable f (R) models using this new dataset, and compares its constraining power with that of previous BAO compilations. A corresponding Bayesian model comparison is then carried out. The results reveal, for the first time, very strong statistical evidence in favor of f (R) models over the standard {\Lambda}CDM scenario. The analysis also incorporates data from cosmic chronometers and the latest Pantheon++SH0ES supernovae compilation.
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Cited by 6 Pith papers
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Observational Constraints on Scalar Field--Matter Interaction in Weyl Integrable Spacetime
A Weyl Integrable Spacetime model with one extra parameter fits current late-time cosmological data slightly better than Lambda-CDM, with weak to moderate statistical preference.
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Constraints on Barrow and Tsallis Holographic Dark Energy from DESI DR2 BAO data
Barrow and Tsallis holographic dark energy models fit DESI DR2 data but are disfavored by information criteria versus LambdaCDM and do not ease the Hubble tension.
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Cosmological Constraints on the DGP Model in light of DESI DR2 2025 Data
DESI DR2 combined with CC, SNIa and CMB priors give H0≈63–64 km s−1 Mpc−1 for flat/non-flat DGP and ΔAIC>100 against ΛCDM, strongly disfavoring the model.
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Constraint on Symmetric Teleparallel Gravity with Different Dark energy Parametrizations from DESI DR2 BAO Data
MCMC fits of CPL and BA dark energy parametrizations in power-law f(Q) gravity to DESI DR2 and prior BAO H(z) data find statistically competitive or better fits than Lambda-CDM.
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Topological defects as effective dynamical dark energy
A few percent domain-wall component gives a mild (Δχ² = -1.72) improvement over ΛCDM when fitting DESI DR2 BAO and DESY5 supernovae, but the evidence is inconclusive.
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