293 citations · 1.2k across the 21 of their papers we have counts for
21 papers
Membrane Models as a Means of Propulsion in General Relativity: Super-Luminal Warp-Drive that Satisfies the Weak Energy Condition
Greg Huey
Presented are toy-models for sub-luminal and super-luminal warp-drives in 3+1 dimensions. The models are constructed in a chimeric manner - as different bulk space-times separated…
Planck 2013 results. XII. Component separation
Planck Collaboration, P. A. R. Ade, N. Aghanim +252
Planck has produced detailed all-sky observations over nine frequency bands between 30 and 857 GHz. These observations allow robust reconstruction of the primordial cosmic microwav…
Bayesian analysis of white noise levels in the 5-year WMAP data
N. E. Groeneboom, H. K. Eriksen, K. Gorski +3
We develop a new Bayesian method for estimating white noise levels in CMB sky maps, and apply this algorithm to the 5-year WMAP data. We assume that the amplitude of the noise RMS…
Bayesian component separation and CMB estimation for the 5-year WMAP temperature data
C. Dickinson, H. K. Eriksen, A. J. Banday +6
A well-tested and validated Gibbs sampling code, that performs component separation and CMB power spectrum estimation, was applied to the {\it WMAP} 5-yr data. Using a simple model…
CMB likelihood approximation by a Gaussianized Blackwell-Rao estimator
Ø. Rudjord, N. E. Groeneboom, H. K. Eriksen +3
We introduce a new CMB temperature likelihood approximation called the Gaussianized Blackwell-Rao (GBR) estimator. This estimator is derived by transforming the observed marginal p…
A Markov Chain Monte Carlo Algorithm for analysis of low signal-to-noise CMB data
J. B. Jewell, H. K. Eriksen, B. D. Wandelt +3
We present a new Monte Carlo Markov Chain algorithm for CMB analysis in the low signal-to-noise regime. This method builds on and complements the previously described CMB Gibbs sam…