Non-Gaussianity and Statistical Anisotropy from Vector Field Populated Inflationary Models
Joint Authors
Dimastrogiovanni, Emanuela
Riotto, Antonio
Bartolo, Nicola
Matarrese, Sabino
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-07-04
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
We present a review of vector field models of inflation and, in particular, of the statistical anisotropy and non-Gaussianity predictions of models with SU(2) vector multiplets.
Non-Abelian gauge groups introduce a richer amount of predictions compared to the Abelian ones, mostly because of the presence of vector fields self-interactions.
Primordial vector fields can violate isotropy leaving their imprint in the comoving curvature fluctuations ζ at late times.
We provide the analytic expressions of the correlation functions of ζ up to fourth order and an analysis of their amplitudes and shapes.
The statistical anisotropy signatures expected in these models are important and, potentially, the anisotropic contributions to the bispectrum and the trispectrum can overcome the isotropic parts.
American Psychological Association (APA)
Dimastrogiovanni, Emanuela& Bartolo, Nicola& Matarrese, Sabino& Riotto, Antonio. 2010. Non-Gaussianity and Statistical Anisotropy from Vector Field Populated Inflationary Models. Advances in Astronomy،Vol. 2010, no. 2010, pp.1-21.
https://search.emarefa.net/detail/BIM-495966
Modern Language Association (MLA)
Dimastrogiovanni, Emanuela…[et al.]. Non-Gaussianity and Statistical Anisotropy from Vector Field Populated Inflationary Models. Advances in Astronomy No. 2010 (2010), pp.1-21.
https://search.emarefa.net/detail/BIM-495966
American Medical Association (AMA)
Dimastrogiovanni, Emanuela& Bartolo, Nicola& Matarrese, Sabino& Riotto, Antonio. Non-Gaussianity and Statistical Anisotropy from Vector Field Populated Inflationary Models. Advances in Astronomy. 2010. Vol. 2010, no. 2010, pp.1-21.
https://search.emarefa.net/detail/BIM-495966
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495966