Reconstructing primordial power spectrum using Planck and SDSS-III measurements
Xin Wang, Gong-Bo Zhao

TL;DR
This paper introduces a Bayesian method for reconstructing the primordial power spectrum from multiple cosmological data sets, revealing deviations from scale invariance and suggesting possible features on large scales.
Contribution
A new model-independent Bayesian approach for primordial power spectrum reconstruction applied to diverse cosmological data sets.
Findings
Scale-invariant spectrum strongly disfavored
Suppressed power on horizon scales supported by data
Mild evidence for a modulation on specific scales
Abstract
We develop an accurate and efficient Bayesian method to reconstruct the primordial power spectrum in a model-independent way, and apply it to the latest cosmic microwave background measurement from Planck mission, and the large scale structure observation of SDSS-III BOSS (CMASS) sample, combined with the type Ia supernovae sample (SNLS 3-year) and the measurements of baryon acoustic oscillations from SDSS-II, 6dF, and WiggleZ survey. We confirm that the scale-invariant primordial power spectrum is strongly disfavored, and a model with suppressed power on horizon scales is supported by current data. We also find that a modulation on scales is mildly preferred at confidence level, whose origin needs further investigation.
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Taxonomy
TopicsCosmology and Gravitation Theories · Radio Astronomy Observations and Technology · Dark Matter and Cosmic Phenomena
