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Gauge-flation: Inflation from non-Abelian gauge fields
Open accessAbstract
Inflationary models are usually based on dynamics of one or more scalar fields coupled to gravity. In this work we present a new class of inflationary models, gauge-flation or non-Abelian gauge field inflation, where slow-roll inflation is driven by a non-Abelian gauge field. This class of models is based on a gauge field theory with a generic non-Abelian gauge group minimally coupled to gravity. We then focus on a particular gauge-flation model by specifying the action for the gauge theory. This model has two parameters which can be determined using the current cosmological data and has the prospect of being tested by Planck satellite data. Moreover, the values of these parameters are within the natural range of parameters in generic grand unified theories of particle physics.
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Cites
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Baumann, D., & McAllister, L. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781316105733 · Cited by 532
Probing cosmic inflation with the LiteBIRD cosmic microwave background polarization survey
LiteBIRD Collaboration, Allys, E., Arnold, K., Aumont, J., Aurlien, R., Azzoni, S., Baccigalupi, C., Banday, A. J., Banerji, R., Barreiro, R. B., et al. (2023) · Progress of Theoretical and Experimental Physics · doi:10.1093/ptep/ptac150 · Cited by 348
A Casimir turning point as the beginning of a small flat universe
Zhang, A. (2026) · arXiv · doi:10.48550/arxiv.2610.24905
Metadata
- Authors
- Maleknejad, A., & Sheikh-Jabbari, M. M.
- Venue
- Physics Letters B
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 723
- Issue
- 1-3
- Pages
- 224-228
- ISSN
- 0370-2693 (ISSN-L)
- OpenAlex
- W2963746893
- Cited by
- 284
- References
- 18
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
