A model-independent fit to Planck and BICEP2 data
Laura Barranco, Lotfi Boubekeur, Olga Mena

TL;DR
This paper introduces a model-independent phenomenological approach to fit Planck, WMAP, and BICEP2 data, using an effective equation-of-state to predict inflationary parameters and compare different inflation models.
Contribution
It presents a novel, model-independent parametrisation of inflation using Mukhanov's effective equation-of-state, enabling direct data fitting without assuming specific inflationary potentials.
Findings
Favours Starobinsky and Higgs inflation models with Planck and WP data.
Supports $\, ext{phi}^2$ chaotic inflation if BICEP2 signal is primordial.
Constraints on tensor-to-scalar ratio are consistent with BICEP2 results.
Abstract
Inflation is the leading theory to describe elegantly the initial conditions that led to structure formation in our universe. In this paper, we present a novel phenomenological fit to the Planck, WMAP polarisation (WP) and the BICEP2 datasets using an alternative parameterisation. Instead of starting from inflationary potentials and computing the inflationary observables, we use a phenomenological parameterisation due to Mukhanov, describing inflation by an effective equation-of-state, in terms of the number of e-folds and two phenomenological parameters and . Within such a parametrisation, which captures the different inflationary models in a model-independent way, the values of the scalar spectral index , its running and the tensor-to-scalar ratio are predicted, given a set of parameters . We perform a Markov Chain Monte Carlo analysis of these…
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