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A novel CMB polarization likelihood package for large angular scales built from combined WMAP and Planck LFI legacy maps
Ist Teil von
Astronomy and astrophysics (Berlin), 2020-12, Vol.644, p.A32
Ort / Verlag
Heidelberg: EDP Sciences
Erscheinungsjahr
2020
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
We present a cosmic microwave background (CMB) large-scale polarization dataset obtained by combining
Wilkinson
Microwave Anisotropy Probe (WMAP) in the
K
,
Q
, and
V
bands with the
Planck
70 GHz maps. We employed the legacy frequency maps released by the WMAP and
Planck
collaborations and performed our own Galactic foreground mitigation technique, relying on
Planck
353 GHz for polarized dust and on
Planck
30 GHz and WMAP K for polarized synchrotron. We derived a single, optimally noise-weighted, low residual foreground map and the accompanying noise covariance matrix. These are shown through
χ
2
analysis to be robust over an ample collection of Galactic masks. We used this dataset, along with the
Planck
legacy
Commander
temperature solution, to build a pixel-based low-resolution CMB likelihood package, whose robustness we tested extensively with the aid of simulations, finding an excellent level of consistency. Using this likelihood package alone, we are able to constrain the optical depth to reionization,
τ
= 0.069
−0.012
+0.011
at 68% confidence level, on 54% of the sky. Adding the
Planck
high-ℓ temperature and polarization legacy likelihood, the
Planck
lensing likelihood, and BAO observations, we find
τ
= 0.0714
−0.0096
+0.0087
in a full ΛCDM exploration. The latter bounds are slightly less constraining than those obtained by employing the
Planck
High Frequency Instrument’s (HFI) CMB data for large-angle polarization, which only include EE correlations. Our bounds are based on a largely independent dataset that includes TE correlations. They are generally compatible with
Planck
HFI, but lean towards slightly higher values for
τ
. We have made the low-resolution
Planck
and WMAP joint dataset publicly available, along with the accompanying likelihood code.