Journal Article

Correlated component analysis for diffuse component separation with error estimation on simulated <i>Planck</i> polarization data

S. Ricciardi, A. Bonaldi, P. Natoli, G. Polenta, C. Baccigalupi, E. Salerno, K. Kayabol, L. Bedini and G. De Zotti

in Monthly Notices of the Royal Astronomical Society

Published on behalf of The Royal Astronomical Society

Volume 406, issue 3, pages 1644-1658
Published in print August 2010 | ISSN: 0035-8711
Published online August 2010 | e-ISSN: 1365-2966 | DOI: http://dx.doi.org/10.1111/j.1365-2966.2010.16819.x
Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data

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We present a data analysis pipeline for cosmic microwave background (CMB) polarization experiments, running from multifrequency maps to the power spectra. We focus mainly on component separation and, for the first time, we work out the covariance matrix accounting for errors associated with the separation itself. This allows us to propagate such errors and evaluate their contributions to the uncertainties on the final products. The pipeline is optimized for intermediate and small scales, but could be easily extended to lower multipoles. We exploit realistic simulations of the sky, tailored for the Planck mission. The component separation is achieved by exploiting the correlated component analysis in the harmonic domain, which we demonstrate to be superior to the real-space application. We present two techniques to estimate the uncertainties on the spectral parameters of the separated components. The component separation errors are then propagated by means of Monte Carlo simulations to obtain the corresponding contributions to uncertainties on the component maps and on the CMB power spectra. For the Planck polarization case they are found to be subdominant compared to noise.

Keywords: polarization; methods: data analysis; methods: statistical; cosmic background radiation; cosmology: observations; submillimetre: diffuse background

Journal Article.  9588 words.  Illustrated.

Subjects: Astronomy and Astrophysics

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