Constraining Galileon Inflation
Donough Regan, Gemma J. Anderson, Matthew Hull, David Seery
TL;DR
This paper uses WMAP 9-year data to analyze the Galileon inflation model via the CMB bispectrum, finding weak support for the model based on current constraints.
Contribution
It introduces a principal-component analysis approach to constrain Galileon inflation parameters from CMB bispectrum data.
Findings
Weak support for Galileon inflation from bispectrum data
Principal-component analysis effectively constrains model parameters
Bayesian comparison favors simpler models over Galileon
Abstract
In this short paper, we present constraints on the Galileon inflationary model from the CMB bispectrum. We employ a principal-component analysis of the independent degrees of freedom constrained by data and apply this to the WMAP 9-year data to constrain the free parameters of the model. A simple Bayesian comparison establishes that support for the Galileon model from bispectrum data is at best weak.
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.