The best inflationary models after Planck

By Jérôme Martin, C. Ringeval, Roberto Trotta, V. Vennin. 2013

344 citations recorded by the source corpus.

We compute the Bayesian evidence and complexity of 193 slow-roll single-field models of inflation using the Planck 2013 Cosmic Microwave Background data, with the aim of establishing which models are favoured from a Bayesian perspective. Our calculations employ a new numerical pipeline interfacing an inflationary effective likelihood with the slow-roll library ASPIC and the nested sampling algorithm MultiNest. The models considered represent a complete and systematic scan of the entire landscape of inflationary scenarios proposed so far. Our analysis singles out the most probable models (from an Occam's razor point of view) that are compatible with Planck data, while ruling out with very strong evidence 34% of the models considered. We identify 26% of the models that are favoured by the Bayesian evidence, corresponding to 15 different potential shapes. If the Bayesian complexity is included in the analysis, only 9% of the models are preferred, corresponding to only 9 different potential shapes. These shapes are all of the plateau type.

Subfields: Astronomy and Astrophysics, Finance, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/1ff599d154729d297417793a9719774739770aa7

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In Astronomy and Astrophysics

  1. D. Baumann
  2. S. Vagnozzi
  3. M. Zaldarriaga
  4. L. Senatore
  5. Xingang Chen
  6. Volker Springel
  7. E. Komatsu
  8. Simon D. M. White

In Finance

  1. E. Shellard
  2. J. Fergusson
  3. M. Liguori
  4. D. Baumann
  5. Andrei Linde
  6. V. Vennin
  7. John C. Hill
  8. V. Poulin

In Nuclear and High Energy Physics

  1. S. Vagnozzi
  2. D. Baumann
  3. Xingang Chen
  4. Andrei Linde
  5. Simon D. M. White
  6. E. di Valentino
  7. V. Poulin
  8. Volker Springel

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