Dependent component analysis for cosmology: a case study

Authors:
Ercan E. Kuruoglu
Affiliations:
Instituto di Scienze e Tecnologie dell'Informazione, Italian National Council of Research, Pisa, Italy
Venue:
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Year:
2010

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Abstract

In this paper, we discuss various dependent component analysis approaches available in the literature and study their performances on the problem of separation of dependent cosmological sources from multichannel microwave radiation maps of the sky. Realisticaly simulated cosmological radiation maps are utilised in the simulations which demonstrate the superior performance obtained by tree-dependent component analysis and correlated component analysis methods when compared to classical ICA.