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A general mechanism for producing scale-invariant perturbations and small non-Gaussianity in ekpyrotic models

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arxiv 1404.1265 v2 pith:DSCDINPM submitted 2014-04-04 astro-ph.CO hep-th

classification astro-ph.COhep-th
keywords perturbationsekpyroticnon-gaussianitydensityfieldpotentialscale-invariantduring
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abstract

We explore a new type of entropic mechanism for generating density perturbations in a contracting phase in which there are two scalar fields, but only one has a steep negative potential. This first field dominates the energy density and is the source of the ekpyrotic equation of state. The second field has a negligible potential, but its kinetic energy density is coupled to the first field with a non-linear sigma-model type interaction. We show that for any ekpyrotic equation of state it is possible to choose the potential and the kinetic coupling such that exactly scale-invariant (or nearly scale-invariant) entropy perturbations are produced. The corresponding background solutions are stable, and the bispectrum of the entropy perturbations vanishes as no non-Gaussianity is produced during the ekpyrotic phase. Hence, the only contribution to non-Gaussianity comes from the non-linearity of the conversion process during which entropic perturbations are turned into adiabatic ones, resulting in a local non-Gaussianity parameter $f_{NL} \sim 5$.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fully viable DHOST bounce with extra scalar

    hep-th 2025-01 conditional novelty 6.0 of 10

    A constructed two-field DHOST bouncing cosmology that avoids ghost, gradient, and superluminality problems and produces nearly scale-invariant curvature perturbations.

  2. Non-Gaussianity and Strong-Coupling Problem in a Two-Field DHOST Bouncing Model

    hep-th 2026-06 unverdicted novelty 4.0 of 10

    Refines two-field DHOST bouncing model to match observed f_NL and keep strong-coupling scale above background energy, claiming full viability at linear and non-linear levels.

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