English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We develop a method to reconstruct the primordial power spectrum, P(k), usingboth temperature and polarisation data from the joint analysis of a number ofCosmic Microwave Background (CMB) observations. The method is an extension ofthe Richardson-Lucy algorithm, first applied in this context by Shafieloo &Souradeep. We show how the inclusion of polarisation measurements can decreasethe uncertainty in the reconstructed power spectrum. In particular, thepolarisation data can constrain oscillations in the spectrum more effectivelythan total intensity only measurements. We apply the estimator to a compilationof current CMB results. The reconstructed spectrum is consistent with thebest-fit power spectrum although we find evidence for a `dip' in the power onscales k ~ 0.002 Mpc^-1. This feature appears to be associated with the WMAPpower in the region 18 < l < 26 which is consistently below best--fit models.We also forecast the reconstruction for a simulated, Planck-like surveyincluding sample variance limited polarisation data.

Reconstruction of the Primordial Power Spectrum using Temperature and Polarisation Data from Multiple Experiments