Component separation for Cosmic Microwave Background data: a blind approach based on spectral diversity

Abstract

We present a blind multi-detector multi-component spectral matching method for all sky observations of the cosmic microwave background, working on the spherical harmonics basis. The method allows to estimate on a set of observation maps the power spectra of various components present in CMB data, their contribution levels in each detector and the noise levels. The method accounts for the instrumental effect of beam convolution. We have implemented the method on all sky Planck simulations containing five components and white noise, including beam smoothing effects.

6 pages, 3 figures, extended version of a paper presented at the PSIP03 conference, Grenoble, January 2003

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Cited by in corpus (2)

• Separation of correlated astrophysical sources using multiple-lag data covariance matrices
• Imaging the first light: experimental challenges and future perspectives in the observation of the Cosmic Microwave Background Anisotropy