Reconstructing slow-roll Scalar-Tensor Gauss-Bonnet single field inflation from running spectral data
A. Belhaj, H. Es-Sobbahi, M. Oualaid, E. Torrente-Lujan

TL;DR
This paper explores scalar-tensor inflation models with Gauss-Bonnet terms, deriving observable predictions and comparing them with Planck data to constrain model parameters.
Contribution
It provides detailed theoretical expressions for inflationary observables in scalar-tensor Gauss-Bonnet models and examines their consistency with current observational data.
Findings
Derived constraints among spectral index, tensor-to-scalar ratio, and their runnings.
Presented hierarchies of consistency equations for scalar and tensor perturbations.
Analyzed a specific model's predictions against Planck observational data.
Abstract
We examine cosmological inflation in a broad family of scalar-tensor models characterized by scalar-dependent non minimal kinetic couplings and Gauss-Bonnet terms. Using a slow roll-approximation, we compute in detail theoretical expectations of observables as spectral indexes, scalar-to-tensor ratio, their running and their running of the running in terms of the parameters which characterize the scalar-tensor model. Hierarchies of consistency equations relating scalar and tensor pertubations and higher order running parameters are presented and examined at the slow roll approximation for the kind of models of interest in this work. From We find detailed expressions for constraints among these parameters. For a specific model, we analyse such quantities and make contact with latest Planck observational data .
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Computational Physics and Python Applications · Fluid Dynamics and Turbulent Flows
