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.
ROMA: a map-making algorithm for polarised CMB data sets
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
We present ROMA, a parallel code to produce joint optimal temperature and polarisation maps out of multidetector CMB observations. ROMA is a fast, accurate and robust implementation of the iterative generalised least squares approach to map-making. We benchmark ROMA on realistic simulated data from the last, polarisation sensitive, flight of BOOMERanG.
fields
astro-ph.IM 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.