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Efficient optimal non-Gaussian CMB estimators with polarisation

1 Pith paper cite this work. Polarity classification is still indexing.

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abstract

In this paper we demonstrate an efficient method for including both CMB temperature and polarisation data in optimal non-Gaussian estimators. The method relies on orthogonalising the multipoles of the temperature and polarisation maps and results in a reduction by a factor of over 3 the terms required to calculate the estimator. The method is illustrated with the modal method applied to bispectrum estimation via the CMB with the trispectrum included as an appendix. However, the method is quite general and can be applied to any optimal bispectrum or trispectrum estimator including the KSW, binned and wavelet approaches. It would also be applicable to any situation where multiple data sets with known correlations are being considered.

fields

astro-ph.CO 1

years

2025 1

verdicts

UNVERDICTED 1

representative citing papers

Non-Gaussianity in SMICA

astro-ph.CO · 2025-11-27 · unverdicted · novelty 7.0

New SMICA formalism and binned bispectrum estimator jointly recover power spectra, spectral parameters, foreground 3-point correlators, and primordial non-Gaussianity constraints from multi-frequency polarization maps tested on LiteBIRD simulations.

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  • Non-Gaussianity in SMICA astro-ph.CO · 2025-11-27 · unverdicted · none · ref 36 · internal anchor

    New SMICA formalism and binned bispectrum estimator jointly recover power spectra, spectral parameters, foreground 3-point correlators, and primordial non-Gaussianity constraints from multi-frequency polarization maps tested on LiteBIRD simulations.