WMAP 9-year CMB estimation using sparsity

Abstract

Recovering the Cosmic Microwave Background (CMB) from WMAP data requires galactic foreground emissions to be accurately separated out. Most component separation techniques rely on second order statistics such as Internal Linear Combination (ILC) techniques. In this paper, we present a new WMAP 9-year CMB map, with 15 arcmin resolution, which is reconstructed using a recently introduced sparse component separation technique, coined Local Generalized Morphological Component Analysis (LGMCA). LGMCA emphasizes on the sparsity of the components to be retrieved in the wavelet domain. We show that although derived from a radically different separation criterion ({i.e. sparsity), the LGMCA-WMAP 9 map and its power spectrum are fully consistent with their more recent estimates from WMAP 9.

Submitted to A&A (revised)

References in corpus (4)

• The pre-launch Planck Sky Model: a model of sky emission at submillimetre to centimetre wavelengths
• Wavelets, ridgelets and curvelets on the sphere
• Sparse component separation for accurate CMB map estimation
• Sparsity and the Bayesian Perspective

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