Articolo in rivista, 2004, ENG, 10.1111/j.1365-2966.2004.08168.x

Extracting cosmic microwave background polarization from satellite astrophysical maps

Baccigalupi C.; Perrotta F.; De Zotti G.; Smoot G.F.; Burigana C.; Maino D.; Bedini L.; Salerno E.

SISSA Trieste, INFN, LBNL Berkeley; SISSA Trieste, INFN, LBNL Berkeley; INAF, SISSA; LBNL Berkeley; ITeSRE-CNR, Bologna, Italy; INAF, Dipartimento di Fisica, Universita di Milano; IEI, CNR, Pisa (ISTI, CNR, Pisa); IEI, CNR, Pisa (ISTI, CNR, Pisa)

We present the application of the fast independent component analysis (FASTICA) technique for blind component separation to polarized astrophysical emission. We study how the cosmic microwave background (CMB) polarized signal, consisting of E and B modes, can be extracted from maps affected by substantial contamination from diffuse galactic foreground emission and instrumental noise. We implement Monte Carlo chains varying the CMB and noise realizations in order to assess the average capabilities of the algorithm and their variance. We perform the analysis of all-sky maps simulated according to the Planck satellite capabilities, modelling the sky signal as a superposition of teh CMB and of the existing simulated polarization templates of galactic synchrotron. Our results indicate that teh angular power spectrum of CMB E mode can be recovered an all scales up to l=1000, corresponding to the fourth acoustic oscillation, while the B-mode power spectrum can be detected, up to its turnover al l=100, if the ratio of tensor to scalar contributions to the temperature quadrupole exceeds 30 percent. The power spectrum of the cross-correlation between total intensity and polarization, TE, can be recovered up to l=1200, corresponding to the seventh TE acoustic oscillation.

Monthly notices of the Royal Astronomical Society (Print) 354 (1), pp. 55–70

Keywords

methods: data analysis, techniques: image processing, cosmic microwave

CNR authors

Burigana Carlo, Bedini Luigi, Salerno Emanuele

CNR institutes

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

ID: 43757

Year: 2004

Type: Articolo in rivista

Creation: 2009-06-16 00:00:00.000

Last update: 2018-02-13 12:58:18.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

DOI: 10.1111/j.1365-2966.2004.08168.x

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:43757

DOI: 10.1111/j.1365-2966.2004.08168.x

ISI Web of Science (WOS): 000224242100008

Scopus: 2-s2.0-7544223669