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arXiv · 2109.08047

A New Estimator for Phase Statistics

D. Munshi·R. Takahashi·J. D. McEwen·T. D. Kitching·F. R. Bouchet
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Abstract

We introduce a novel statistic to probe the statistics of phases of Fourier modes in two-dimensions (2D) for weak lensing convergence field $\kappa$. This statistic contains completely independent information compared to that contained in observed power spectrum. We compare our results against state-of-the-art numerical simulations as a function of source redshift and find good agreement with theoretical predictions. We show that our estimator can achieve better signal-to-noise compared to the commonly employed statistics known as the line correlation function (LCF). Being a two-point statistics, our estimator is also easy to implement in the presence of complicated noise and mask, and can also be generalised to higher-order. While applying this estimator for the study of lensed CMB maps, we show that it is important to include post-Born corrections in the study of statistics of phase.

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D. Munshi, R. Takahashi, J. D. McEwen, T. D. Kitching, F. R. Bouchet. 2021-09-16. A New Estimator for Phase Statistics. https://doi.org/10.1088/1475-7516/2022/05/006

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