Component separation with flexible models. Application to the separation of astrophysical emissions

Abstract

This paper offers a new point of view on component separation, based on a model of additive components which enjoys a much greater flexibility than more traditional linear component models. This flexibility is needed to process the complex full-sky observations of the CMB expected from the Planck space mission, for which it was developed, but it may also be useful in any context where accurate component separation is needed.

20 pages, 9 figures. Submitted to a special issue of IEEE-JSTSP on Signal processing for astronomy and space research

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• Likelihood methods for CMB experiments
• North-South non-Gaussian asymmetry in PLANCK CMB maps
• SILC: a new Planck Internal Linear Combination CMB temperature map using directional wavelets
• Spin-SILC: CMB polarisation component separation with spin wavelets
• Semi-blind Bayesian inference of CMB map and power spectrum
• Hemispherical Power Asymmetry in intensity and polarization for Planck PR4 data
• Linearized iterative least-squares (LIL): A parameter fitting algorithm for component separation in multifrequency CMB experiments such as Planck
• Needlet thresholding methods in component separation
• Impact of Galactic dust non-Gaussianity on searches for B-modes from inflation
• Foreground removal with ILC methods for AliCPT-1
• CMB-PAInT: An inpainting tool for the cosmic microwave background
• Reconstructing simulated CMB polarization power spectra with the Analytical Blind Separation method