2015
DOI: 10.1051/0004-6361/201526001
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Polarized cosmic microwave background map recovery with sparse component separation

Abstract: The polarization modes of the cosmological microwave background are an invaluable source of information for cosmology and a unique window to probe the energy scale of inflation. Extracting this information from microwave surveys requires distinguishing between foreground emissions and the cosmological signal, which means solving a component separation problem. Component separation techniques have been widely studied for the recovery of cosmic microwave background (CMB) temperature anisotropies, but very rarely… Show more

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Cited by 3 publications
(5 citation statements)
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“…We use a cleaned CMB temperature map constructed from a joint analysis of the nine-year WMAP [31] and Planck full mission [2] full-sky temperature maps [30]. 4 The CMB is separated from other components in the microwave sky using "local-generalized morphological component analysis" (LGMCA), a technique relying on the sparse distribution of non-CMB foregrounds in the wavelet domain.…”
Section: Example: Measurement Using Wmap Planck and Wisementioning
confidence: 99%
See 2 more Smart Citations
“…We use a cleaned CMB temperature map constructed from a joint analysis of the nine-year WMAP [31] and Planck full mission [2] full-sky temperature maps [30]. 4 The CMB is separated from other components in the microwave sky using "local-generalized morphological component analysis" (LGMCA), a technique relying on the sparse distribution of non-CMB foregrounds in the wavelet domain.…”
Section: Example: Measurement Using Wmap Planck and Wisementioning
confidence: 99%
“…4 The CMB is separated from other components in the microwave sky using "local-generalized morphological component analysis" (LGMCA), a technique relying on the sparse distribution of non-CMB foregrounds in the wavelet domain. We refer the reader to [30,52] for a thorough description of this component separation technique and characterization of the resulting maps. The method reconstructs a full-sky CMB map with minimal dust contamination and essentially zero contamination from the thermal SZ (tSZ) effect, which is explicitly projected out in the map construction (unlike in, e.g., the official Planck SEVEM, NILC, or SMICA component-separated CMB maps, which all possess significant tSZ residuals).…”
Section: Example: Measurement Using Wmap Planck and Wisementioning
confidence: 99%
See 1 more Smart Citation
“…While GMCA could outperform a few other extraction techniques, it yielded similar results to NILC. Over the years, refinements have been made to improve its performance (Bobin et al 2015;Wagner-Carena et al 2020). One could also do parametric modeling of the components, which has largely been done with the Commander algorithm (Eriksen et al 2008;Galloway et al 2023).…”
Section: Introductionmentioning
confidence: 99%
“…Wavelets on the sphere (Starck et al 2015) are now standard tools in astronomy and have been widely used for purposes such as FERMI-LAT data analysis (Schmitt et al 2010;McDermott et al 2016), the recovery of CMB and polarized CMB maps (Bobin et al 2015(Bobin et al , 2016, string detection (McEwen et al 2017), point source removal in CMB data (Sureau et al 2014), the detection of CMB anomalies (Naidoo et al 2017;Rassat et al 2014), or stellar turbulent convection studies (Bessolaz & Brun 2011). While wavelets are well suited for representing isotropic components in an image, they are far from optimal for analyzing anisotropic features such as filamentary structures.…”
Section: Introductionmentioning
confidence: 99%