J/A+A/591/A50 CMB intensity map from WMAP and Planck PR2 data (Bobin+, 2016)
Cosmic microwave background reconstruction from WMAP and Planck PR2 data.
Bobin J., Sureau F., Starck J.-L.
<Astron. Astrophys. 591, A50 (2016)>
=2016A&A...591A..50B 2016A&A...591A..50B (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Energy distributions
Keywords: cosmic background radiation - methods: data analysis
Abstract:
We describe a new estimate of the cosmic microwave background (CMB)
intensity map reconstructed by a joint analysis of the full Planck
2015 data (PR2) and nine years of WMAP data. The proposed map provides
more than a mere update of the CMB map introduced in a previous paper
since it benefits from an improvement of the component separation
method L-GMCA (Local-Generalized Morphological Component Analysis),
which facilitates efficient separation of correlated components. Based
on the most recent CMB data, we further confirm previous results
showing that the proposed CMB map estimate exhibits appealing
characteristics for astrophysical and cosmological applications: i) it
is a full-sky map as it did not require any inpainting or
interpolation postprocessing, ii) foreground contamination is very low
even on the galactic center, and iii) the map does not exhibit any
detectable trace of thermal SZ contamination. We show that its power
spectrum is in good agreement with the Planck PR2 official theoretical
best-fit power spectrum. Finally, following the principle of
reproducible research, we provide the codes to reproduce the L-GMCA,
which makes it the only reproducible CMB map.
Description:
This paper presents a novel estimation of the CMB map reconstructed
from the Planck 2015 data (PR2) and the WMAP nine-year data (Bennett
et al., 2013ApJS..208...20B 2013ApJS..208...20B), which updates the CMB map we published
in (Bobin et al., 2014A&A...563A.105B 2014A&A...563A.105B). This new map is based on the
sparse component separation method L-GMCA (Bobin et al.,
2013A&A...550A..73B 2013A&A...550A..73B). Additionally, the map benefits from the latest
advances in this field (Bobin et al., 2015, IEEE Transactions on
Signal Processing, 63, 1199), which allows us to accurately
discriminate between correlated components. In this update to our
previous work, we show that this new map presents significant
improvements with respect to the available CMB map estimates.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
list.dat 160 2 List of fits files
fits/* . 2 Individual fits files
CODES_v2.0.zip 512 1362504 All codes needed to reproduce the CMB and
noise maps
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Byte-by-byte Description of file: list.dat
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Bytes Format Units Label Explanations
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1- 5 I5 --- Nx Number of rows
7- 12 I6 Kibyte size Size of FITS file
14- 36 A23 --- FileName Name of FITS file, in subdirectory fits
38-160 A123 --- Title Title of the FITS file
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Acknowledgements:
Jerome Bobin, jbobin(at)cea.fr
(End) Patricia Vannier [CDS] 12-May-2016