English

Bayesian Analysis of a Generalized Starobinsky Model with Reheating Constraints

Cosmology and Nongalactic Astrophysics 2023-12-19 v1

Abstract

We study a generalization of the the Starobinsky model adding a term of the form R2pR^{2p} to the Einstien-Hilbert action. We take the power pp as a parameter of the model and explore the constraints from CMB plus BAO data through a Bayesian analysis, thus exploring a range of values for the exponent parameter. We incorporate a reheating phase to the model through the background matter content (equation of state) and the duration of this period (number of ee-foldings of reheating). We find that incorporating information from reheating imposes constraints on cosmological quantities, more stringent than the case of no reheating when tested with the Planck+BAO data. The inferred value of the exponent parameter is statistically consistent with p=1p=1, favoring the original Starobinsky potential. Moreover, we report tighter constraints on pp and the number of ee-folds in comparison with previous works. The obtained values for other inflationary observational parameters, such as the scalar spectral index nsn_s and the scalar amplitude of perturbations AsA_s, are consistent with prior measurements. Finally we present the alternative use of consistency relations in order to simplify the parameter space and test the generalized Starobinsky potential even more efficiently.

Keywords

Cite

@article{arxiv.2312.10924,
  title  = {Bayesian Analysis of a Generalized Starobinsky Model with Reheating Constraints},
  author = {Francisco X. Linares Cedeño and Gabriel Germán and Juan Carlos Hidalgo},
  journal= {arXiv preprint arXiv:2312.10924},
  year   = {2023}
}

Comments

12 pages, 3 figures

R2 v1 2026-06-28T13:54:14.150Z