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C. Armitage-Caplan

Researcher at University of Oxford

Publications -  47
Citations -  22743

C. Armitage-Caplan is an academic researcher from University of Oxford. The author has contributed to research in topics: Planck & Cosmic microwave background. The author has an hindex of 41, co-authored 47 publications receiving 21522 citations.

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Planck 2013 results. XVI. Cosmological parameters

Peter A. R. Ade, +327 more
TL;DR: In this paper, the authors present the first cosmological results based on Planck measurements of the cosmic microwave background (CMB) temperature and lensing-potential power spectra, which are extremely well described by the standard spatially-flat six-parameter ΛCDM cosmology with a power-law spectrum of adiabatic scalar perturbations.
Journal ArticleDOI

Planck 2013 results. XVI. Cosmological parameters

Peter A. R. Ade, +262 more
TL;DR: In this paper, the authors present the first results based on Planck measurements of the CMB temperature and lensing-potential power spectra, which are extremely well described by the standard spatially-flat six-parameter LCDM cosmology.
Journal ArticleDOI

Planck 2013 Results. XXIV. Constraints on primordial non-Gaussianity

Peter A. R. Ade, +238 more
TL;DR: In this paper, the Planck nominal mission cosmic microwave background (CMB) maps yield unprecedented constraints on primordial non-Gaussianity (NG) using three optimal bispectrum estimators, separable template-fitting (KSW), binned, and modal.
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Planck 2013 results. XXIX. The Planck catalogue of Sunyaev-Zeldovich sources

Peter A. R. Ade, +329 more
TL;DR: In this article, the authors describe the all-sky Planck catalogue of clusters and cluster candidates derived from Sunyaev-Zeldovich (SZ) effect detections using the first 15.5 months of Planck satellite observations.
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Planck 2013 results. XV. CMB power spectra and likelihood

Peter A. R. Ade, +258 more
TL;DR: In this article, the Planck likelihood is used to derive the CMB power spectrum over three decades in l, covering 2 = 50, and employ a correlated Gaussian likelihood approximation based on angular cross-spectra derived from the 100, 143 and 217 GHz channels.