Exploring generalized Starobinsky Model of Inflation: Observational Constraints
Saisandri Saini, Akhilesh Nautiyal

TL;DR
This paper investigates a generalized Starobinsky inflation model with power-law corrections, using observational data to constrain model parameters and confirm its viability within current cosmological bounds.
Contribution
The study introduces a generalized $f(R)$ inflation model with power-law corrections and provides observational constraints on its parameters using Planck, BICEP3, and BAO data.
Findings
Constraints on $eta$ and $M$ parameters from observational data.
Scalar spectral index $n_s$ and tensor-to-scalar ratio $r$ within Planck bounds.
Deviations from the original Starobinsky model are observationally viable.
Abstract
We examine the power-law Starobinsky model, a generalized version of the Starobinsky inflation model, characterized by a power-law correction to Einstein gravity. Employing the formalism, the scalar and tensor power spectra were numerically computed as functions of the dimensionless parameters and . A Markov Chain Monte Carlo (MCMC) analysis was conducted using Planck-2018, BICEP3 and BAO observational data, yielding precise constraints on . and . The derived scalar spectral index and tensor-to-scalar ratio lie within the bounds set by Planck observations. We analyse a general reheating scenario while keeping the number of e-folds during inflation, , fixed. The analysis confirms that deviations from the…
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Taxonomy
TopicsEconomic theories and models · Economic Theory and Policy
