On Minimally-Parametric Primordial Power Spectrum Reconstruction and the Evidence for a Red Tilt
Licia Verde (ICE-Barcelona/Princeton), Hiranya V. Peiris (Cambridge/U., Chicago)

TL;DR
This paper uses a minimally-parametric smoothing spline method to reconstruct the primordial power spectrum from cosmological data, providing evidence for a power law with a red tilt and ruling out significant deviations or features.
Contribution
It introduces a flexible, minimally-parametric approach to reconstruct the primordial power spectrum, assessing its shape without assuming a specific parametric form.
Findings
Supports a power law primordial spectrum with a red tilt
Finds no significant deviations or features in the spectrum
Smooth variations are not degenerate with other cosmological parameters
Abstract
The latest cosmological data seem to indicate a significant deviation from scale invariance of the primordial power spectrum when parameterized either by a power law or by a spectral index with non-zero "running". This deviation, by itself, serves as a powerful tool to discriminate among theories for the origin of cosmological structures such as inflationary models. Here, we use a minimally-parametric smoothing spline technique to reconstruct the shape of the primordial power spectrum. This technique is well-suited to search for smooth features in the primordial power spectrum such as deviations from scale invariance or a running spectral index, although it would recover sharp features of high statistical significance. We use the WMAP 3 year results in combination with data from a suite of higher resolution CMB experiments (including the latest ACBAR 2008 release), as well as…
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