Extraction of the angular power spectrum produced by inflation from observations of experiments such as Simons Observatory

TL;DR

This paper presents a novel method to isolate the inflation-produced Gaussian component of the CMB power spectrum from observational data, effectively separating it from non-Gaussian foreground signals without producing a clean map.

Contribution

The approach uniquely extracts the inflation-related Gaussian power spectrum directly from observations, bypassing the need for foreground cleaning or map reconstruction.

Findings

Successfully separates Gaussian inflation signals from foregrounds

Enables direct analysis of inflationary features in the power spectrum

Improves accuracy of inflation parameter estimation

Abstract

We demonstrate an approach that allows separating two-point correlations created by a Gaussian random field from correlations created by cosmic foregrounds such as polarized dust emission, gravitational lensing and other non-Gaussian signals. The result of traditional approaches should typically be a 'foreground-cleaned' two-dimensional CMB map of the anisotropy or polarization. Our method does not create a clean map, but extracts the part of the two-point correlations, or equivalently the part of the power spectrum, which is due only to the Gaussian component of the observed signal produced by inflation.