Articolo in rivista, 2010, ENG, 10.1111/j.1365-2966.2010.16819.x

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

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

INAF/IASF, Sezione di Bologna, Bologna, Italy; INAF, Osservatorio Astronomico di Padova, Padova, Italy; Dipartimento di Fisica -INFN, Universita di Roma Tor Vergata, Roma, Italy; ASI Science Data Center, Frascati, Italy - INAF, Osservatorio Astronomico di Roma, Italy; SISSA, Trieste, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; INAF, Osservatorio Astronomico di Padova, Padova, Italy - SISSA, Trieste, Italy

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.

Monthly notices of the Royal Astronomical Society (Print) 406 (3), pp. 1644–1658

Keywords

Polarization, Data analysis, Statistical signal processing, Cosmic background radiation

CNR authors

Kayabol Koray, Bedini Luigi, Salerno Emanuele

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 44395

Year: 2010

Type: Articolo in rivista

Last update: 2018-01-26 13:36:58.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

DOI: 10.1111/j.1365-2966.2010.16819.x

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:44395

DOI: 10.1111/j.1365-2966.2010.16819.x

ISI Web of Science (WOS): 000280669200014

Scopus: 2-s2.0-77955264869