WMAP 9-year CMB estimation using sparsity

Understand

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.