Scalar quadratic maximum likelihood estimators for the CMB cross power spectrum

Abstract

Estimating the cross-correlation power spectra of cosmic microwave background (CMB), in particular, the T B and EB spectra, is important for testing parity symmetry in cosmology and diagnosing insidious instruments systematics. The Quadratic Maximum Likelihood (QML) estimator provides the optimal estimates of power spectra, but it is computationally very expensive. The hybrid pseudo-Cl estimator is computationally fast but performs poorly on large scales. As a natural extension of previous work (Chen et al. 2021), in this article, we present a new unbiased estimator based on the Smith-Zaldarriaga (SZ) approach of E-B separation and scalar QML approach to reconstruct the cross-correlation power spectrum, called QML-SZ estimator. Our new estimator relies on the ability to construct scalar maps, which allows us to use a scalar QML estimator to obtain the cross-correlation power spectrum. By reducing the pixel number and algorithm complexity, the computational cost is nearly one order of magnitude smaller and the running time is nearly two orders of magnitude faster in the test situations.

14 pages, 9 figures. ApJS in press. Comments are welcome. arXiv admin note: text overlap with arXiv:2104.07408

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Cited by in corpus (5)

• Performance forecasts for the primordial gravitational wave detection pipelines for AliCPT-1
• Testing parity symmetry of gravity with gravitational waves
• Polarized primordial gravitational waves in spatial covariant gravities
• Polarized gravitational waves in the parity violating scalar-nonmetricity theory
• Forecast of foreground cleaning strategies for AliCPT-1