Precision Predictions for the Primordial Power Spectra of Scalar Potential Models of Inflation

TL;DR

This paper introduces a new numerical method and an improved analytic approximation for calculating primordial scalar and tensor power spectra in inflation models, surpassing traditional slow roll approaches in accuracy and applicability.

Contribution

The authors develop a novel numerical technique and an analytic approximation that accurately evaluate primordial spectra, capturing higher-order effects beyond slow roll expansions.

Findings

New numerical method for primordial spectra evaluation

Analytic approximation surpassing slow roll accuracy

Enhanced connection between spectra and inflation history

Abstract

We exploit a new numerical technique for evaluating the tree order contributions to the primordial scalar and tensor power spectra for scalar potential models of inflation. Among other things we use the formalism to develop a good analytic approximation which goes beyond generalized slow roll expansions in that (1) it is not contaminated by the physically irrelevant phase, (2) its 0th order term is exact for constant first slow roll parameter, and (3) the correction is multiplicative rather than additive. These features allow our formalism to capture at first order, effects which are higher order in other expansions. Although this accuracy is not necessary to compare current data with any specific model, our method has a number of applications owing to the simpler representation it provides for the connection between the power spectra and the expansion history of a general model.