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A New Estimator for Phase Statistics

Authors :
Munshi, D.
Takahashi, R.
McEwen, J. D.
Kitching, T. D.
Bouchet, F. R.
Munshi, D.
Takahashi, R.
McEwen, J. D.
Kitching, T. D.
Bouchet, F. R.
Publication Year :
2021

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.<br />Comment: 18 pages, 7 figures

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1363552650
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1088.1475-7516.2022.05.006