CMB-PAInT: An inpainting tool for the cosmic microwave background
arxiv(2024)
摘要
The presence of astrophysical emissions in microwave observations forces us
to perform component separation to extract the Cosmic Microwave Background
(CMB) signal. However, even in the most optimistic cases, there are still
strongly contaminated regions, such as the Galactic plane or those with
emission from extragalactic point sources, which require the use of a mask.
Since many CMB analyses, especially the ones working in harmonic space, need
the whole sky map, it is crucial to develop a reliable inpainting algorithm
that replaces the values of the excluded pixels by others statistically
compatible with the rest of the sky. This is especially important when working
with Q and U sky maps in order to obtain E- and B-mode maps which are
free from E-to-B leakage. In this work we study a method based on Gaussian
Constrained Realizations (GCR), that can deal with both intensity and
polarization. Several tests have been performed to asses the validation of the
method, including the study of the one-dimensional probability distribution
function (1-PDF), E- and B-mode map reconstruction, and power spectra
estimation. We have considered two scenarios for the input simulation: one case
with only CMB signal and a second one including also Planck PR4 semi-realistic
noise. Even if we are limited to low resolution maps, N_side = 64
if T, Q and U are considered, we believe that this is a useful approach
to be applied to future missions such as LiteBIRD, where the target are the
largest scales.
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