Bayesian Analysis of Inflation: Parameter Estimation for Single Field Models
Michael J. Mortonson (CCAPP/Ohio State), Hiranya V. Peiris (Cambridge,, UCL), Richard Easther (Yale)

TL;DR
This paper introduces ModeCode, a new computational tool for analyzing single field inflation models using current and future astrophysical data, enabling precise parameter estimation without slow roll approximation.
Contribution
ModeCode is a publicly available, numerically solving code for inflationary spectra, integrated with CAMB and CosmoMC, facilitating improved model constraints and future Bayesian comparisons.
Findings
Current data provide weak constraints on post-inflationary physics.
ModeCode's errors are negligible for Planck-level data.
Planck will significantly tighten inflationary model constraints.
Abstract
Future astrophysical datasets promise to strengthen constraints on models of inflation, and extracting these constraints requires methods and tools commensurate with the quality of the data. In this paper we describe ModeCode, a new, publicly available code that computes the primordial scalar and tensor power spectra for single field inflationary models. ModeCode solves the inflationary mode equations numerically, avoiding the slow roll approximation. It is interfaced with CAMB and CosmoMC to compute cosmic microwave background angular power spectra and perform likelihood analysis and parameter estimation. ModeCode is easily extendable to additional models of inflation, and future updates will include Bayesian model comparison. Errors from ModeCode contribute negligibly to the error budget for analyses of data from Planck or other next generation experiments. We constrain representative…
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