Scale-dependent non-Gaussianity and the CMB Power Asymmetry
Christian T. Byrnes, Ewan R. M. Tarrant

TL;DR
This paper proposes a new way to parametrize the scale dependence of non-Gaussianity in the CMB, addressing limitations of previous models and exploring implications for observed power asymmetry.
Contribution
It introduces an alternative parametrisation for $f_{NL}$ that remains valid when it changes sign, motivated by the self-interacting curvaton scenario, and applies it to CMB power asymmetry analysis.
Findings
Strong scale dependence of $f_{NL}$ can lead to large $g_{NL}$ and quadrupolar asymmetry.
Model regimes with significant scale dependence are constrained by observations.
The new parametrisation improves modeling of non-Gaussianity across scales.
Abstract
We introduce an alternative parametrisation for the scale dependence of the non-linearity parameter in quasi-local models of non-Gaussianity. Our parametrisation remains valid when changes sign, unlike the commonly adopted power law ansatz . We motivate our alternative parametrisation by appealing to the self-interacting curvaton scenario, and as an application, we apply it to the CMB power asymmetry. Explaining the power asymmetry requires a strongly scale dependent non-Gaussianity. We show that regimes of model parameter space where is strongly scale dependent are typically associated with a large and quadrupolar power asymmetry, which can be ruled out by existing observational constraints.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
