Fast and precise map-making for massively multi-detector CMB experiments
D. Sutton, J.A. Zuntz, P.G. Ferreira, M.L. Brown, H.K. Eriksen, B.R., Johnson, A. Kusaka, S.K. Naess, I.K. Wehus

TL;DR
This paper compares destriping and filtering methods for fast, precise map-making in large-scale CMB experiments, demonstrating destriping's advantages in reducing spurious B-mode signals and improving primordial B-mode detection.
Contribution
It introduces an optimized destriping algorithm for massive multi-detector CMB data, showing its effectiveness over filtering in B-mode power spectrum estimation.
Findings
Destriping outperforms filtering in estimating large-scale E and B-mode spectra.
Filtering introduces spurious B-mode power via EB mixing, affecting detection significance.
Destriping is computationally feasible and integrates well with existing analysis pipelines.
Abstract
Future cosmic microwave background (CMB) polarisation experiments aim to measure an unprecedentedly small signal - the primordial gravity wave component of the polarisation field B-mode. To achieve this, they will analyse huge datasets, involving years worth of time-ordered data (TOD) from massively multi-detector focal planes. This creates the need for fast and precise methods to complement the M-L approach in analysis pipelines. In this paper, we investigate fast map-making methods as applied to long duration, massively multi-detector, ground-based experiments, in the context of the search for B-modes. We focus on two alternative map-making approaches: destriping and TOD filtering, comparing their performance on simulated multi-detector polarisation data. We have written an optimised, parallel destriping code, the DEStriping CARTographer DESCART, that is generalised for massive focal…
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