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Cited by 250

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The effective theory of quintessence: the w< −1 side unveiled

Open access
Creminelli, Paolo, D'Amico, Guido, Noreña, Jorge, Vernizzi, Filippo·2009·Journal of Cosmology and Astroparticle Physics

Abstract

We study generic single-field dark energy models, by a parametrization of the most general theory of their perturbations around a given background, including higher derivative terms. In appropriate limits this approach reproduces standard quintessence, k -essence and ghost condensation. We find no general pathology associated to an equation of state w Q < −1 or in crossing the phantom divide w Q = −1. Stability requires that the w Q < −1 side of dark energy behaves, on cosmological scales, as a k -essence fluid with a virtually zero speed of sound. This implies that one should set the speed of sound to zero when comparing with data models with w Q < −1 or crossing the phantom divide. We summarize the theoretical and stability constraints on the quintessential plane (1+ w Q ) vs. speed of sound squared.

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Metadata

Authors
Creminelli, P., D'Amico, G., Noreña, J., & Vernizzi, F.
Venue
Journal of Cosmology and Astroparticle Physics
Published
2009-02-13
Volume
2009
Issue
02
Pages
018-018
ISSN
  • 1475-7508 (ISSN-L)
  • 1475-7516
OpenAlex
W2094446423
Cited by
250
References
3
FWCI
6.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The effective theory of quintessence: the w< −1 side unveiled. https://app.cochat.ai/papers/10.1088/1475-7516/2009/02/018
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Creminelli, P., D'Amico, G., Noreña, J., & Vernizzi, F. (2009). The effective theory of quintessence: the w< −1 side unveiled. Journal of Cosmology and Astroparticle Physics. https://doi.org/10.1088/1475-7516/2009/02/018

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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.