Testing f(R)-gravity models with DESI DR2 2025-BAO and other cosmological data
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arXiv
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866916875447828480 |
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| author | Plaza, Francisco Kraiselburd, Lucila |
| author_facet | Plaza, Francisco Kraiselburd, Lucila |
| contents | 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 ΛCDM scenario. The analysis also incorporates data from cosmic chronometers and the latest Pantheon++SH0ES supernovae compilation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_05432 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Testing f(R)-gravity models with DESI DR2 2025-BAO and other cosmological data Plaza, Francisco Kraiselburd, Lucila General Relativity and Quantum Cosmology 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 ΛCDM scenario. The analysis also incorporates data from cosmic chronometers and the latest Pantheon++SH0ES supernovae compilation. |
| title | Testing f(R)-gravity models with DESI DR2 2025-BAO and other cosmological data |
| topic | General Relativity and Quantum Cosmology |
| url | https://arxiv.org/abs/2504.05432 |