Non-Gaussianities in extended D-term inflation
Francis Bernardeau, Tristan Brunier
TL;DR
This paper investigates how extensions of supersymmetric D-term hybrid inflation with multiple light fields can generate significant primordial non-Gaussianities while preserving a scale-invariant power spectrum. The authors develop a multi-field inflationary setup, using the $ abla N$ formalism to relate field fluctuations to curvature perturbations, and derive explicit expressions for the bispectrum and trispectrum, including intrinsics from self-couplings of the isocurvature fields. They analyze both perturbative and non-perturbative (super-Hubble) regimes, identifying parameter domains where $f_{ m NL}$ and $g_{ m NL}$ can be large and predicting how Planck-era constraints on the bispectrum and trispectrum map onto model parameters. The results highlight that joint measurements of the bispectrum and trispectrum are essential to constrain these models, and they establish a framework that connects SUSY hybrid inflation to curvaton-like scenarios via controlled multi-field dynamics and finite-volume effects.
Abstract
We explore extensions of hybrid inflationary models in the context of supersymmetric D-term inflation. We point out that a large variety of inflationary scenarios can be encountered when the field content is extended. It is not only possible to get curvaton type models but also scenarios in which different fields, with nontrivial statistical properties, contribute to the primordial curvature fluctuations. We explore more particularly the parameter space of these multiple field inflationary models. It is shown that there exists a large domain in which significant primordial non-Gaussianities can be produced while preserving a scale free power spectrum for the metric fluctuations. In particular we explicitly compute the expected bi- and trispectrum for such models and compared the results to the current and expected observational constraints. It is shown that it is necessary to use both the bi- and tri-spectra of CMB anisotropies to efficiently reduce their parameter space.
