The Effect of Features on the Functional Form of the Scalar Power Spectrum

TL;DR

This paper investigates how features in single-scalar inflation models influence the scalar power spectrum's functional form, using a novel formalism based on the evolution of the mode functions' norm-squared.

Contribution

It introduces a new formalism for analyzing the scalar power spectrum by evolving the norm-squared of scalar mode functions, enhancing understanding of features' effects.

Findings

Demonstrates the impact of features on the power spectrum's shape

Provides a new computational approach for inflationary models with features

Offers insights into anomalies in cosmological data

Abstract

We study how the scalar power spectrum of single-scalar inflation depends functionally on models with features which have been proposed to explain anomalies in the data. We exploit a new formalism based on evolving the norm-squared of the scalar mode functions, rather than the mode functions themselves.