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Cited by 1,935

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Dark Energy and the Accelerating Universe

Open access
Frieman, Joshua A., Turner, Michael S., Huterer, Dragan·2008·Annual Review of Astronomy and Astrophysics

Abstract

Ten years ago, the discovery that the expansion of the universe is accelerating put in place the last major building block of the present cosmological model, in which the universe is composed of 4% baryons, 20% dark matter, and 76% dark energy. At the same time, it posed one of the most profound mysteries in all of science, with deep connections to both astrophysics and particle physics. Cosmic acceleration could arise from the repulsive gravity of dark energy—for example, the quantum energy of the vacuum—or it may signal that general relativity (GR) breaks down on cosmological scales and must be replaced. We review the present observational evidence for cosmic acceleration and what it has revealed about dark energy, discuss the various theoretical ideas that have been proposed to explain acceleration, and describe the key observational probes that will shed light on this enigma in the coming years.

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Crossref · 10.1146/annurev.astro.46.060407.145243

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Metadata

Authors
Frieman, J. A., Turner, M. S., & Huterer, D.
Venue
Annual Review of Astronomy and Astrophysics
Published
2008-09-01
Volume
46
Issue
1
Pages
385-432
ISSN
  • 0066-4146 (ISSN-L)
  • 1545-4282
OpenAlex
W2102197207
Cited by
1,935
References
21
FWCI
12.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dark Energy and the Accelerating Universe. https://app.cochat.ai/papers/10.1146/annurev.astro.46.060407.145243
The paper
Frieman, J. A., Turner, M. S., & Huterer, D. (2008). Dark Energy and the Accelerating Universe. Annual Review of Astronomy and Astrophysics. https://doi.org/10.1146/annurev.astro.46.060407.145243

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.