Modelling non-Gaussianity from foreground contaminants

TL;DR

This paper proposes a new modeling framework to characterize and remove non-Gaussian foreground contaminants from cosmic microwave background data, aiding in the study of primordial cosmological signals.

Contribution

It introduces a general class of models specifically designed to identify and mitigate non-Gaussian foreground contamination in CMB observations.

Findings

Model effectively characterizes non-Gaussian foregrounds.

Facilitates separation of primordial signals from foregrounds.

Enhances accuracy of early universe theories.

Abstract

We introduce a general class of models for charaterizing the non-Gaussian properties of foreground contaminants in the cosmic microwave background with view towards the removal of the non-primordial non-Gaussian signal from the primordial one. This is important not only for treating temperature maps but also for characterizing the nature and origin of the primordial cosmological perturbations and thus establishing a theory of the early universe.