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CMB data analysis and sparsity

Abstract : The statistical analysis of the soon to come Planck satellite CMB data will help set tighter bounds on major cosmological parameters. On the way, a number of practical difficulties need to be tackled, notably that several other astrophysical sources emit radiation in the frequency range of CMB observations. Some level of residual contributions, most significantly in the galactic region and at the locations of strong radio point sources will unavoidably contaminate the estimated spherical CMB map. Masking out these regions is common practice but the gaps in the data need proper handling. In order to restore the stationarity of a partly incomplete CMB map and thus lower the impact of the gaps on non-local statistical tests, we developed an inpainting algorithm on the sphere based on a sparse representation of the data, to fill in and interpolate across the masked regions.
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Submitted on : Monday, April 28, 2008 - 3:47:04 PM
Last modification on : Saturday, September 19, 2020 - 4:52:19 AM

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P. Abrial, Y. Moudden, Jean-Luc Starck, Jalal M. Fadili, J. Delabrouille, et al.. CMB data analysis and sparsity. Statistical Methodology, Elsevier, 2008, 5, pp.289-298. ⟨10.1016/j.stamet.2007.11.005⟩. ⟨in2p3-00276150⟩



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