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arxiv: astro-ph/0702198 · v2 · submitted 2007-02-07 · 🌌 astro-ph

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Diffuse source separation in CMB observations

J. Delabrouille , J.-F. Cardoso
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classification 🌌 astro-ph
keywords separationcomponentdiffuseobservationsversionapplicationbackgroundcontains
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We review issues and methods for diffuse component separation in the context of Cosmic Microwave Background observations. The revised version contains a paragraph on FastICA and its application to CMB component separation, which was missing in the first version.

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  1. BROOM: a python package for model-independent analysis of microwave astronomical data

    astro-ph.CO 2026-04 unverdicted novelty 4.0

    BROOM is a Python package that applies ILC and GILC techniques for model-independent separation of CMB, SZ, and foreground signals in microwave data along with diagnostic and simulation utilities.