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. © 2010 The Authors. Journal compilation

Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data / Ricciardi, S.; Bonaldi, A.; Natoli, P.; Polenta, G.; Baccigalupi, Carlo; Salerno, E.; Kayabol, K.; Bedini, L.; De Zotti, Gianfranco. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - 406:3(2010), pp. 1644-1658. [10.1111/j.1365-2966.2010.16819.x]

Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data

Baccigalupi, Carlo;De Zotti, Gianfranco
2010-01-01

Abstract

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. © 2010 The Authors. Journal compilation
2010
406
3
1644
1658
Ricciardi, S.; Bonaldi, A.; Natoli, P.; Polenta, G.; Baccigalupi, Carlo; Salerno, E.; Kayabol, K.; Bedini, L.; De Zotti, Gianfranco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/12818
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