POMME is a new estimator that marginalizes signals varying slower than the HWP rotation timescale to produce unbiased CMB polarisation maps with near-optimal noise in the presence of strong contaminants.
Destriping of Polarized Data in a CMB Mission with a Circular Scanning Strategy
1 Pith paper cite this work. Polarity classification is still indexing.
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abstract
A major problem in Cosmic Microwave Background (CMB) anisotropy mapping, especially in a total-power mode, is the presence of low-frequency noise in the data streams. If unproperly processed, such low-frequency noise leads to striping in the maps. To deal with this problem, solutions have already been found for mapping the CMB temperature fluctuations but no solution has yet been proposed for the measurement of CMB polarization. Complications arise due to the scan-dependent orientation of the measured polarization. In this paper, we investigate a method for building temperature and polarization maps with minimal striping effects in the case of a circular scanning strategy mission such as the Planck mission.
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2026 1verdicts
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Robust CMB polarisation mapmaking with a rotating half-wave plate
POMME is a new estimator that marginalizes signals varying slower than the HWP rotation timescale to produce unbiased CMB polarisation maps with near-optimal noise in the presence of strong contaminants.