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Erschienen in:
2017 | OriginalPaper | Buchkapitel
On Extracting the Cosmic Microwave Background from Multi-channel Measurements
verfasst von : Jean-François Cardoso
Erschienen in: Latent Variable Analysis and Signal Separation
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Abstract
Extracting a sky map of the Cosmic Microwave Background (CMB) from multi-channel measurements can be seen as a component separation problem in a special context: only one component is of interest (the CMB) and its column in the mixing matrix and its probability distribution are known with high accuracy. The purpose of this paper is not to present a new algorithm but rather to discuss, on a purely theoretical basis, the impact of the statistical modeling of the components in a simple case. To do so, we analyze a model of noise-free CMB observations contaminated by coherent components. We show that the maximum likelihood estimate of the CMB in this model does not depend of the model of the contamination.