Bayesian analysis of $\alpha$-Starobinsky model with Planck, ACT and DESI data
Karim Carrion, Francisco X. Linares Cede\~no, Gabriel Germ\'an, Juan Carlos Hidalgo

TL;DR
This paper introduces a Bayesian analysis method for the $oldsymbol{ extalpha}$-Starobinsky inflationary model using multiple cosmological datasets, directly constraining primordial observables to improve accuracy and assess model viability.
Contribution
It develops an alternative sampling approach that directly constrains primordial observables, avoiding slow-roll approximation errors, and applies it to evaluate the $oldsymbol{ extalpha}$-Starobinsky model with current data.
Findings
Pure Starobinsky model requires >60 e-folds of inflation.
Allowing $oldsymbol{ extalpha}$>1 fits data better.
ACT DR6 lensing data has minimal impact on constraints.
Abstract
We present a joint Bayesian analysis to impose constraints on the generalized -Starobinsky inflationary model using the high-precision cosmological datasets: Planck, CMB lensing from ACT DR6, and Baryon Acoustic Oscillations (BAO) from DESI DR2. For the parameter inference, we introduce an alternative sampling approach. Rather than imposing priors on the cosmological parameters of the inflationary potential , we place priors directly on the primordial physical observables through using analytical slow-roll consistency relations, our pipeline internally maps these sampled observables to the corresponding -Starobinsky parameters. These values are then passed to a modified version of , which solves the exact inflationary dynamics fully numerically. This pipeline ensures that the final reported posteriors for the…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
