Bayesian analysis of inflation: Parameter estimation for single field models

Michael J. Mortonson, Hiranya V. Peiris, and Richard Easther
Phys. Rev. D 83, 043505 – Published 7 February 2011

Abstract

Future astrophysical data sets 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 single-field models (ϕn with n=2/3, 1, 2, and 4, natural inflation, and “hilltop” inflation) using current data, and provide forecasts for Planck. From current data, we obtain weak but nontrivial limits on the post-inflationary physics, which is a significant source of uncertainty in the predictions of inflationary models, while we find that Planck will dramatically improve these constraints. In particular, Planck will link the inflationary dynamics with the post-inflationary growth of the horizon, and thus begin to probe the “primordial dark ages” between TeV and grand unified theory scale energies.

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  • Received 26 July 2010

DOI:https://doi.org/10.1103/PhysRevD.83.043505

© 2011 American Physical Society

Authors & Affiliations

Michael J. Mortonson1,*, Hiranya V. Peiris2,3,†, and Richard Easther4,‡

  • 1Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, Ohio 43210, USA
  • 2Institute of Astronomy and Kavli Institute for Cosmology, University of Cambridge, Cambridge CB3 0HA, United Kingdom
  • 3Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
  • 4Department of Physics, Yale University, New Haven, Connecticut 06520, USA

  • *mmortonson@mps.ohio-state.edu
  • h.peiris@ucl.ac.uk
  • richard.easther@yale.edu

See Also

Bayesian analysis of inflation. II. Model selection and constraints on reheating

Richard Easther and Hiranya V. Peiris
Phys. Rev. D 85, 103533 (2012)

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Vol. 83, Iss. 4 — 15 February 2011

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