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19932026
most citedPlanck 2015 results. XIII. Cosmological parameters

10.6k citations · 65.7k across the 300 of their papers we have counts for

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7 papers · 1 filter

astro-ph2006★ 29 cited

CMB signal in WMAP 3yr data with FastICA

D. Maino, S. Donzelli, A. J. Banday +2

We present an application of the fast Independent Component Analysis (FastICA) to the WMAP 3yr data with the goal of extracting the CMB signal. We evaluate the confidence of our re…

astro-ph2006★ 84 cited

Bianchi Type VII_h Models and the WMAP 3-year Data

T. R. Jaffe, A. J. Banday, H. K. Eriksen +2

Context. A specific example of Bianchi Type VIIh models, i.e. those including universal rotation (vorticity) and differential expansion (shear), has been shown in Jaffe et al. (200…

astro-ph2006★ 78 cited

A re-analysis of the three-year WMAP temperature power spectrum and likelihood

H. K. Eriksen, Greg Huey, R. Saha +11

We analyze the three-year WMAP temperature anisotropy data seeking to confirm the power spectrum and likelihoods published by the WMAP team. We apply five independent implementatio…

astro-ph2006★ 7 cited

Bayesian foreground analysis with CMB data

H. K. Eriksen, C. Dickinson, C. R. Lawrence +6

The quality of CMB observations has improved dramatically in the last few years, and will continue to do so in the coming decade. Over a wide range of angular scales, the uncertain…

astro-ph2006★ 79 cited

Fast and Efficient Template Fitting of Deterministic Anisotropic Cosmological Models Applied to WMAP Data

T. R. Jaffe, A. J. Banday, H. K. Eriksen +2

We explore methods of fitting templates to cosmic microwave background (CMB) data, and in particular demonstrate the application of the total convolver algorithm as a fast method o…

astro-ph2006★ 56 cited

Foreground Subtraction of Cosmic Microwave Background Maps using WI-FIT (Wavelet based hIgh resolution Fitting of Internal Templates)

F. K. Hansen, A. J. Banday, H. K. Eriksen +2

We present a new approach to foreground removal for Cosmic Microwave Background (CMB) maps. Rather than relying on prior knowledge about the foreground components, we first extract…