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Authordc.contributor.authorChen, Xingang 
Authordc.contributor.authorPalma, Gonzalo 
Authordc.contributor.authorRiquelme, Walter 
Authordc.contributor.authorScheihing H., Bruno 
Authordc.contributor.authorSypsas, Spyros 
Admission datedc.date.accessioned2019-05-31T15:21:12Z
Available datedc.date.available2019-05-31T15:21:12Z
Publication datedc.date.issued2018
Cita de ítemdc.identifier.citationPhysical Review D, Volumen 98, Issue 8, 2018
Identifierdc.identifier.issn24700029
Identifierdc.identifier.issn24700010
Identifierdc.identifier.other10.1103/PhysRevD.98.083528
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169530
Abstractdc.description.abstractIn this paper, we show how the structure of the landscape potential of the primordial Universe may be probed through the properties of the primordial density perturbations responsible for the origin of the cosmic microwave background anisotropies and the large-scale structure of our Universe. Isocurvature fields —fields orthogonal to the inflationary trajectory— may have fluctuated across the barriers separating local minima of the landscape potential during inflation. We analyze how this process could have impacted the evolution of the primordial curvature perturbations. If the typical distance separating consecutive minima of the landscape potential and the height of the potential barriers are smaller than the Hubble expansion rate parametrizing inflation, the probability distribution function of isocurvature fields becomes non-Gaussian due to the appearance of bumps and dips associated with the structure of the potential. We show that this non-Gaussianity can be transferred to the statistics of primordial curvature perturbations if the isocurvature fields are coupled to the curvature perturbations. The type of non-Gaussian structure that emerges in the distribution of curvature perturbations cannot be fully probed with the standard methods of polyspectra; instead, the probability distribution function is needed. The latter is obtained by summing all the n-point correlation functions. To substantiate our claims, we offer a concrete model consisting of an axionlike isocurvature perturbation with a sinusoidal potential and a linear derivative coupling between the isocurvature and curvature field. In this model, the probability distribution function of the curvature perturbations consists of a Gaussian function with small superimposed oscillations reflecting the isocurvature axion potential.
Lenguagedc.language.isoen
Publisherdc.publisherAmerican Physical Society
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourcePhysical Review D
Keywordsdc.subjectPhysics and Astronomy (miscellaneous)
Títulodc.titleLandscape tomography through primordial non-Gaussianity
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorJMM
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile