Observational constraints on K-inflation models
Abstract
We extend the ModeCode software of Mortonson, Peiris and Easther to enable numerical computation of perturbations in K-inflation models, where the scalar field no longer has a canonical kinetic term. Focussing on models where the kinetic and potential terms can be separated into a sum, we compute slow-roll predictions for various models and use these to verify the numerical code. A Markov chain Monte Carlo analysis is then used to impose constraints from WMAP7 data on the addition of a term quadratic in the kinetic energy to the Lagrangian of simple chaotic inflation models. For a quadratic potential, the data do not discriminate against addition of such a term, while for a quartic (\lambda \phi^4) potential inclusion of such a term is actually favoured. Overall, constraints on such a term from present data are found to be extremely weak.
Keywords
Cite
@article{arxiv.1204.6214,
title = {Observational constraints on K-inflation models},
author = {Sheng Li and Andrew R. Liddle},
journal= {arXiv preprint arXiv:1204.6214},
year = {2015}
}
Comments
20 pages, 11 incorporated figures. Parameter range explored by MCMC analysis enhanced, other minor changes