Inflation with Gauss-Bonnet coupling
Zhu Yi, Yungui Gong, and Mudassar Sabir

TL;DR
This paper explores inflationary models with Gauss-Bonnet coupling, deriving relations between parameters that reduce the tensor-to-scalar ratio and analyzing observational constraints on the model.
Contribution
It introduces a specific relation between slow-roll parameters in Gauss-Bonnet inflation, deriving analytical expressions for spectra and constraining model parameters with observations.
Findings
Tensor-to-scalar ratio reduced by factor of 1-λ
Analytical expressions for power spectra derived
Model parameters constrained by observational data
Abstract
We consider inflationary models with the inflaton coupled to the Gauss-Bonnet term assuming a special relation between the two slow-roll parameters and . For the slow-roll inflation, the assumed relation leads to the reciprocal relation between the Gauss-Bonnet coupling function and the potential , and it leads to the relation that reduces the tensor-to-scalar ratio by a factor of . For the constant-roll inflation, we derive the analytical expressions for the scalar and tensor power spectra, the scalar and tensor spectral tilts, and the tensor-to-scalar ratio to the first order of by using the method of Bessel function approximation. The tensor-to-scalar ratio is reduced by a factor of . Comparing the derived - with the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
