Bayesian blind component separation for Cosmic Microwave Background observations
H. Snoussi, G. Patanchon, J. F. Macias-Perez, A. Mohammad-Djafari, J. Delabrouille
Abstract
We present a technique for the blind separation of components in CMB data. The method uses a spectral EM algorithm which recovers simultaneously component templates, their emission law as a function of wavelength, and noise levels. We test the method on Planck HFI simulated observations featuring 3 astrophysical components.
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