# Bayesian inflationary reconstructions from Planck 2018 data

## TL;DR

This paper uses Bayesian methods to reconstruct the primordial power spectrum from Planck 2018 data, revealing potential oscillatory features and confirming the consistency of the standard power-law model across most scales.

## Contribution

It introduces three non-parametric Bayesian reconstruction techniques for primordial spectra, highlighting potential oscillatory features and robustness of cosmological parameters.

## Key findings

- Hints of oscillatory features in primordial spectrum at certain scales
- No significant deviations from power-law spectrum across most scales
- Reconstruction methods are consistent with standard cosmological parameters

## Abstract

We present three non-parametric Bayesian primordial reconstructions using Planck 2018 polarization data: linear spline primordial power spectrum reconstructions, cubic spline inflationary potential reconstructions and sharp-featured primordial power spectrum reconstructions. All three methods conditionally show hints of an oscillatory feature in the primordial power spectrum in the multipole range $\ell\sim20$ to $\ell\sim50$, which is to some extent preserved upon marginalization. We find no evidence for deviations from a pure power law across a broad observable window ($50\lesssim\ell\lesssim2000$), but find that parameterizations are preferred which are able to account for lack of resolution at large angular scales due to cosmic variance, and at small angular scales due to Planck instrument noise. Furthermore, the late-time cosmological parameters are unperturbed by these extensions to the primordial power spectrum. This work is intended to provide a background and give more details of the Bayesian primordial reconstruction work found in the Planck 2018 papers.