The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
A parametric model for dark energy
Open accessAbstract
Determining the mechanism behind the current cosmic acceleration constitutes a major question nowadays in theoretical physics. If the dark energy route is taken, this problem may potentially bring to light new insights not only in cosmology but also in high energy physics theories. Following this approach, we explore in this Letter some cosmological consequences of a new time-dependent parameterization for the dark energy equation of state (EoS), which is a well behaved function of the redshift z over the entire cosmological evolution, i.e., z∈[−1,∞). This parameterization allows us to divide the parametric plane (w0,w1) in defined regions associated to distinct classes of dark energy models that can be confirmed or excluded from a confrontation with current observational data. By assuming a flat universe, a statistical analysis involving the most recent observations from type Ia supernovae, baryon acoustic oscillation peak, Cosmic Microwave Background shift parameter and Hubble evolution H(z) is performed to check the observational viability of the EoS parameterization here proposed.
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Cited by
In the realm of the Hubble tension—a review of solutions *
Di Valentino, E., Mena, O., Pan, S., Visinelli, L., Yang, W., Melchiorri, A., Mota, D. F., Riess, A. G., & Silk, J. (2021) · Classical and Quantum Gravity · doi:10.1088/1361-6382/ac086d · Cited by 2,065
Revisiting the evidence for dynamical dark energy: from DES-SN5Y to DES-Dovekie
Kandel, A., Atamurotov, F., Güdekli, E., Channuie, P., & Rakhimova, G. (2026) · The European Physical Journal C · doi:10.1140/epjc/s10052-026-16010-6 · Cited by 1
Metadata
- Authors
- Barboza, E. M., & Alcaniz, J. S.
- Venue
- Physics Letters B
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 666
- Issue
- 5
- Pages
- 415-419
- ISSN
- 0370-2693 (ISSN-L)
- OpenAlex
- W2077004704
- Cited by
- 260
- References
- 97
- FWCI
- 3.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
