Cosmic Microwave Background: Joint WMAP/Planck CMB Map Recovery

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Cosmic Microwave Background: Joint WMAP/Planck CMB Map Recovery


The LGMCA method has been used to reconstruct the Cosmic Microwave Background (CMB) image from WMAP 9 year and Planck-PR2 data. Based on the sparse modeling of signals , the LCS component separation method is well-suited for the extraction of foreground emissions. A joint WMAP9 year and Planck PR2 CMB has been reconstructed produce a very high quality CMB map, especially on the galactic center where it is the most difficult due to the strong foreground emissions of our Galaxy. This LGMCA CMB map estimate exhibits appealing characteristics for astrophysical and cosmological applications: i) it is a full sky map that did not require any inpainting or interpolation post-processing, ii) foreground contamination is showed to be very low even on the galactic center, iii) it does not exhibit any detectable trace of thermal SZ contamination. Furthermore,  following the principle of reproducible research, LCS provides the codes to reproduce the LGMCA map, which makes it the only reproducible CMB map.


Reference 1: J. Bobin, F. Sureau, P. Paykari, A. Rassat, S. Basak and J.-L. Starck, "WMAP 9-year CMB estimation using sparsity", Astronomy and Astrophysics , 553, L4, pp 10, 2013.
Reference 2: J. Bobin, F. Sureau and J.-L. Starck, "CMB reconstruction from the WMAP and Planck PR2 data", Astronomy and Astrophysics, 591, id.A50, 12 pp, 2016.

Press release: http://jstarck.free.fr/Defis_CEA_CMB_March2015.pdf

Web: http://www.cosmostat.org/research-topics/cmb

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Author: Samuel Farrens

I have been a postdoctoral researcher at CEA Saclay since October 2015. I am currently working on the DEDALE project and the Euclid mission with Jean-Luc Starck.

My background is in optical detection of clusters of galaxies and photometric redshift estimation. I am now branching out into the field of PSF estimation using sparse signal processing techniques.

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