TL;DR
This paper introduces two new computationally efficient quadratic maximum likelihood estimators for the CMB B-mode power spectrum, achieving similar accuracy to traditional methods but with significantly reduced computational costs.
Contribution
The authors develop two novel QML methods utilizing SZ and TC approaches for pure B-mode map construction, reducing computational complexity while maintaining estimator optimality.
Findings
QML-SZ and QML-TC estimators have similar error bars to standard QML.
Computational cost is nearly ten times lower than traditional QML.
Methods are validated through simulations of space-based and ground-based observations.
Abstract
Constructing a fast and efficient estimator for the B-mode power spectrum of cosmic microwave background (CMB) is of critical importance for CMB science. For a general CMB survey, the Quadratic Maximum Likelihood (QML) estimator for CMB polarization has been proved to be the optimal estimator with minimal uncertainties, but it is computationally very expensive. In this article, we propose two new QML methods for B-mode power spectrum estimation. We use the Smith-Zaldarriaga approach to prepare pure-B mode map, and E-mode recycling method to obtain a leakage free B-mode map. We then use the scalar QML estimator to analyze the scalar pure-B map (QML-SZ) or B-mode map (QML-TC). The QML-SZ and QML-TC estimators have similar error bars as the standard QML estimators but their computational cost is nearly one order of magnitude smaller. The basic idea is that one can construct the pure B-mode…
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