Component separation methods for the PLANCK mission

  title={Component separation methods for the PLANCK mission},
  author={Samuel M. Leach and J I Cardoso and Carlo Baccigalupi and Rita Bel{\'e}n Barreiro and Marc Betoule and J{\'e}r{\^o}me Bobin and Anna Bonaldi and Jacques Delabrouille and G. de Zotti and Calum Dickinson and Hans Kristian Eriksen and J. Gonzalez-Nuevo and Frode Hansen and Diego Herranz and Maude Le Jeune and Marcos L{\'o}pez-Caniego and Enrique Martinez-Gonzalez and Marcella Massardi and J R Melin and M.-A. Miville-Desch{\^e}nes and Guillaume Patanchon and Simon Prunet and S T Ricciardi and Emma Salerno and Jos{\'e} Luis Sanz and J R Starck and F. Stivoli and Vasily Stolyarov and Radek Stompor and Patricio Vielva},
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 emissi on. Aims. The goal of this paper is to compare proposed methods for sepa ating CMB from foregrounds based on their di fferent spectral and spatial characteristics, and to separate the foregroun ds into ‘components’ of di fferent physical origin (Galactic synchrotron, freefree and dust emissions; extra… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS


Publications referenced by this paper.
Showing 1-3 of 3 references

Correlated Component Analysis (CCA) CCA (Bedini et al. 2005) is a semi-blind approach that relies on the second-order statistics of the data to estimate the mi

  • A nts.
  • 2005

Fourier modes on flat patches of the sky and by Stolyarov et al

  • Hobson
  • 1998

Similar Papers

Loading similar papers…