Chapters
- Cosmic background and astrophysical foregrounds
- Spherical signal representations: pixels, harmonic modes, wavelets
- Optimal filtering, template fitting, the ILC and its many guises
- Blind methods for CMB extraction
- The parametric Bayesian approach
Abstract
The
scientific exploitation of CMB data hinges on our ability to extract
the CMB signal from the observations delivered by our
instruments. Indeed, the cosmological background is contaminated
by the emission of several astrophysical foregrounds (Galactic dust,
synchrotron, CIB, radio point sources, etc...). These lectures
review the various ideas and methods which have been implemented in the
Planck collaboration for separating the signal components, focusing on
CMB extraction and emphasizing the statistical aspects of this critical
task.
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Bibliography
- Articles
- "Component
separation methods for the Planck mission", Astronomy and Astrophysics, 2008, http://arxiv.org/abs/0805.0269
- "Planck 2013 results. XII. Component separation", Astronomy and Astrophysics, http://arxiv.org/abs/1303.5072
- "Planck
2015 results. IX. Diffuse component separation: CMB maps", Astronomy
and Astrophysics, 10.1051/0004-6361/201525936, arXiv:1502.05956
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