http://www.cnr.it/ontology/cnr/individuo/prodotto/ID161265
Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data (Rapporti tecnici/preprint/working paper)
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- Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data (Rapporti tecnici/preprint/working paper) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Ricciardi S.; Bonaldi A.; Natoli P.; Polenta G.; Baccigalupi C.; Salerno E.; Kayabol K.; Bedini L.; De Zotti G. (literal)
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- Monthly Notices of the Royal Astronomical Society. Preprint, 2010. (literal)
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- ABSTRACT: We present a data analysis pipeline for CMB polarization experiments, running from multi-frequency 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 to 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, that we demonstrate to be superior to the real-space application (Bonaldi et al. 2006). 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 ob (literal)
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- INAF-IASF, INAF-OAPD, Dipartimento di Fisica, Università di Roma Tor Vergata, ASI Science Data Center, SISSA Trieste, CNR-ISTI, Pisa (literal)
- Titolo
- Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data (literal)
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