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Cited by 368

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Dilatonic ghost condensate as dark energy

Open access
Piazza, Federico, Tsujikawa, Shinji·2004·Journal of Cosmology and Astroparticle Physics

Abstract

We explore a dark energy model with a ghost scalar field in the context of the runaway dilaton scenario in low-energy effective string theory. We address the problem of vacuum stability by implementing higher-order derivative terms and show that a cosmologically viable model of ‘phantomized’ dark energy can be constructed without violating the stability of quantum fluctuations. We also analytically derive the condition under which cosmological scaling solutions exist, starting from a general Lagrangian including the phantom type scalar field. We apply this method to the case where the dilaton is coupled to non-relativistic dark matter and find that the system tends to become quantum mechanically unstable when a constant coupling is always present. Nevertheless, it is possible to obtain a viable cosmological solution in which the energy density of the dilaton eventually approaches the present value of dark energy provided that the coupling rapidly grows during the transition to the scalar field dominated era.

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Crossref · 10.1088/1475-7516/2004/07/004

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Metadata

Authors
Piazza, F., & Tsujikawa, S.
Venue
Journal of Cosmology and Astroparticle Physics
Published
2004-07-14
Volume
2004
Issue
07
Pages
004-004
ISSN
  • 1475-7508 (ISSN-L)
  • 1475-7516
OpenAlex
W2130087052
Cited by
368
References
7
FWCI
13.78
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dilatonic ghost condensate as dark energy. https://app.cochat.ai/papers/10.1088/1475-7516/2004/07/004
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Piazza, F., & Tsujikawa, S. (2004). Dilatonic ghost condensate as dark energy. Journal of Cosmology and Astroparticle Physics. https://doi.org/10.1088/1475-7516/2004/07/004

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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.