2015
DOI: 10.1140/epjc/s10052-015-3733-x
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Effects of discontinuities of the derivatives of the inflaton potential

Abstract: We study the effects of a class of features of the inflaton potential, corresponding to discontinuities in its derivatives. We perform fully numerical calculations and derive analytical approximations for the curvature perturbations spectrum and the bispectrum which are in good agreement with the numerical results. The spectrum of primordial perturbations has oscillations around the scale k 0 which leaves the horizon at the time τ 0 when the feature occurs, with the amplitude and phase of the oscillations dete… Show more

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Cited by 29 publications
(38 citation statements)
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“…This is different from branch-type features which effectively divide the potential into separate branches, because they involve a step-like function in their definition. Some examples of branch-type features are the Starobinsky model [27] and its generalizations [33,35]. In BF models the spectrum can, for example, exhibit a step, Table 1 Fig.…”
Section: Discussionmentioning
confidence: 99%
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“…This is different from branch-type features which effectively divide the potential into separate branches, because they involve a step-like function in their definition. Some examples of branch-type features are the Starobinsky model [27] and its generalizations [33,35]. In BF models the spectrum can, for example, exhibit a step, Table 1 Fig.…”
Section: Discussionmentioning
confidence: 99%
“…The type of feature we study in this paper differs from [33] in the fact that here we study only local features, which only affect the potential in a limited range of the field values, while in [33] the features are not local and modify the potential for an entire branch, due to the absence of any dumping factor (Fig. 3).…”
Section: Local Features Versus Branch Featuresmentioning
confidence: 98%
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“…Features of the inflaton potential can affect the evolution of primordial curvature perturbations [1, and consequently generate a variation in the amplitude of the spectrum and bispectrum [38][39][40][41][42][43][44][45][46]56]. This can provide a better fit of the observational data in the regions where the spectrum shows some deviations from a power law [1][2][3]40,41,[43][44][45][46]51,52,[60][61][62].…”
Section: Introductionmentioning
confidence: 99%