Bayesian blind component separation for Cosmic Microwave Background observations

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.

15 pages, 5 figures, to appear in the Proceedings of the MAXENT 2001 international workshop

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