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Phenomenology of a Realistic Accelerating Universe Using Only Planck-Scale Physics
Open accessAbstract
Modern data are showing increasing evidence that the Universe is accelerating. So far, all attempts to account for the acceleration have required some fundamental dimensionless quantities to be extremely small. We show how a class of scalar field models (which may emerge naturally from superstring theory) can account for acceleration which starts in the present epoch with all the potential parameters O(1) in Planck units.
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Citations
Cites
Cosmological consequences of a rolling homogeneous scalar field
Ratra, B., & Peebles, P. J. E. (1988) · Physical Review D · doi:10.1103/physrevd.37.3406 · Cited by 4,310
Cited by
THE CASE FOR A POSITIVE COSMOLOGICAL Λ-TERM
SAHNI, V., & STAROBINSKY, A. (2000) · International Journal of Modern Physics D · doi:10.1142/s0218271800000542 · Cited by 2,767
Carroll, S. M. (2001) · Living Reviews in Relativity · doi:10.12942/lrr-2001-1 · Cited by 2,650
Riess, A. G., Strolger, L., Casertano, S., Ferguson, H. C., Mobasher, B., Gold, B., Challis, P. J., Filippenko, A. V., Jha, S., Li, W., et al. (2007) · The Astrophysical Journal · doi:10.1086/510378 · Cited by 1,758
Kinetically driven quintessence
Chiba, T., Okabe, T., & Yamaguchi, M. (2000) · Physical Review D · doi:10.1103/physrevd.62.023511 · Cited by 1,434
1/R gravity and scalar-tensor gravity
Chiba, T. (2003) · Physics Letters B · doi:10.1016/j.physletb.2003.09.033 · Cited by 678
Metadata
- Authors
- Albrecht, A., & Skordis, C.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2000-03-06
- Volume
- 84
- Issue
- 10
- Pages
- 2076-2079
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2000158313
- Cited by
- 346
- References
- 1
- FWCI
- 22.97
- 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.