
TL;DR
This paper explores models of inflation producing oscillatory primordial bispectra and proposes a method using mode expansion to detect and reconstruct these spectra from data, enabling observational constraints.
Contribution
It introduces a mode expansion approach to reconstruct oscillatory bispectra from data, facilitating the testing of inflation models with complex bispectral features.
Findings
Mode expansion can effectively reconstruct oscillatory bispectra.
The method enables potential observational constraints on inflation models.
It provides a framework for detecting complex primordial non-Gaussianities.
Abstract
There exist several models of inflation that produce primordial bispectra that contain a large number of oscillations. In this paper we discuss these models, and aim at finding a method of detecting such bispectra in the data. We explain how the recently proposed method of mode expansion of bispectra might be able to reconstruct these spectra from separable basis functions. Extracting these basis functions from the data might then lead to observational constraints on these models.
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.
