Component separation methods for the PLANCK mission
Leach S. M., Cardoso J., Baccigalupi C., Barreiro R. B., Betoule M., Bobin J., Bonaldi A., Delabrouille J., De Zotti G., Dickinson C., Eriksen H. K., Gonzalez-Nuevo J., Hansen F. K., Herranz D., Le Jeune M., Lopez-Caniego M., Martinez-Gonzalez E., Massardi M., Melin J., Miville-Dechêne M., Patanchon G., Prunet S., Ricciardi S., Salerno E., Sanz J. L., Stark J., Stivoli F., Stolyarov V., Stompor R., Vielva P.
Astrophysics Astronomy and Astrophysics Settore FIS/05 - Astronomia e Astrofisica FOS: Physical sciences Astrophysical image processing Space and Planetary Science Cosmic Microwave Background [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] Astrophysics (astro-ph) Diffuse component separation Methods: data analysis Cosmology: cosmic microwave background
Context. The planck satellite will map the full sky at nine frequencies from 30 to 857 GHz. The CMB intensity and polarization that are its prime targets are contaminated by foreground emission. Aims. The goal of this paper is to compare proposed methods for separating CMB from foregrounds based on their di?erent spectral and spatial characteristics, and to separate the foregrounds into "components" with di?erent physical origins (Galactic synchrotron, free-free and dust emissions; extra-galactic and far-IR point sources; Sunyaev-Zeldovich e?ect, etc.). Methods. A component separation challenge has been organised, based on a set of realistically complex simulations of sky emission. Several methods including those based on internal template subtraction, maximum entropy method, parametric method, spatial and harmonic cross correlation methods, and independent component analysis have been tested. Results. Di?erent methods proved to be e?ective in cleaning the CMB maps of foreground contamination, in reconstructing maps of di?use Galactic emissions, and in detecting point sources and thermal Sunyaev-Zeldovich signals. The power spectrum of the residuals is, on the largest scales, four orders of magnitude lower than the input Galaxy power spectrum at the foreground minimum. The CMB power spectrum was accurately recovered up to the sixth acoustic peak. The point source detection limit reaches 100 mJy, and about 2300 clusters are detected via the thermal SZ e?ect on two thirds of the sky.We have found that no single method performs best for all scientific objectives. Conclusions. We foresee that the final component separation pipeline for planck will involve a combination of methods and iterations between processing steps targeted at di?erent objectives such as di?use component separation, spectral estimation, and compact source extraction.
Source: Astronomy & astrophysics (Print) 491 (2008): 597–615. doi:10.1051/0004-6361:200810116
Publisher: EDP Sciences, Les Ulis , Francia
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@article{oai:it.cnr:prodotti:44157,
title = {Component separation methods for the PLANCK mission},
author = {Leach S. M. and Cardoso J. and Baccigalupi C. and Barreiro R. B. and Betoule M. and Bobin J. and Bonaldi A. and Delabrouille J. and De Zotti G. and Dickinson C. and Eriksen H. K. and Gonzalez-Nuevo J. and Hansen F. K. and Herranz D. and Le Jeune M. and Lopez-Caniego M. and Martinez-Gonzalez E. and Massardi M. and Melin J. and Miville-Dechêne M. and Patanchon G. and Prunet S. and Ricciardi S. and Salerno E. and Sanz J. L. and Stark J. and Stivoli F. and Stolyarov V. and Stompor R. and Vielva P.},
publisher = {EDP Sciences, Les Ulis , Francia},
doi = {10.1051/0004-6361:200810116 and 10.48550/arxiv.0805.0269},
journal = {Astronomy \& astrophysics (Print)},
volume = {491},
pages = {597–615},
year = {2008}
}
0000-0002-3433-3634
