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Constrainingf(R)gravity as a scalar-tensor theory
Open accessAbstract
We search for viable $f(R)$ theories of gravity, making use of the equivalence between such theories and scalar-tensor gravity. We find that models can be made consistent with solar system constraints either by giving the scalar a high mass or by exploiting the so-called chameleon effect. However, in both cases, it appears likely that any late-time cosmic acceleration will be observationally indistinguishable from acceleration caused by a cosmological constant. We also explore further observational constraints from, e.g., big bang nucleosynthesis and inflation.
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Cites
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Cited by
Sotiriou, T. P., & Faraoni, V. (2010) · Reviews of Modern Physics · doi:10.1103/revmodphys.82.451 · Cited by 4,519
Harko, T., Lobo, F. S. N., Nojiri, S., & Odintsov, S. D. (2011) · Physical Review D · doi:10.1103/physrevd.84.024020 · Cited by 2,772
Beyond the cosmological standard model
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Cosmology and Fundamental Physics with the Euclid Satellite
The Euclid Theory Working Group, Amendola, L., Appleby, S., Bacon, D., Baker, T., Baldi, M., Bartolo, N., Blanchard, A., Bonvin, C., Borgani, S., et al. (2013) · Living Reviews in Relativity · doi:10.12942/lrr-2013-6 · Cited by 899
Class of viable modifiedf(R)gravities describing inflation and the onset of accelerated expansion
Cognola, G., Elizalde, E., Nojiri, S., Odintsov, S. D., Sebastiani, L., & Zerbini, S. (2008) · Physical Review D · doi:10.1103/physrevd.77.046009 · Cited by 871
Metadata
- Authors
- Faulkner, T., Tegmark, M., Bunn, E. F., & Mao, Y.
- Venue
- Physical Review D
- Publisher
- American Physical Society (APS)
- Published
- 2007-09-13
- Volume
- 76
- Issue
- 6
- ISSN
- 0556-2821 (ISSN-L)
- 1550-7998
- 1550-2368
- OpenAlex
- W2007479791
- Cited by
- 388
- References
- 7
- FWCI
- 19.93
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.