Effect of Mask Regions on Weak Lensing Statistics
Masato Shirasaki, Naoki Yoshida, Takashi Hamana

TL;DR
This study investigates how sky masks influence weak lensing statistics, particularly Minkowski Functionals, and demonstrates that accounting for mask effects is crucial for accurate cosmological parameter estimation.
Contribution
It provides a detailed analysis of mask impacts on weak lensing Minkowski Functionals using simulations and real data, highlighting the importance of correcting for mask effects in cosmological studies.
Findings
Masks increase convergence field variance and bias Minkowski Functionals.
Mask effects mainly reduce the effective survey area, degrading signal-to-noise ratio.
Observed lensing MFs are consistent with the standard LambdaCDM model when mask effects are included.
Abstract
Sky masking is unavoidable in wide-field weak lensing observations. We study how masks affect the measurement of statistics of matter distribution probed by weak gravitational lensing. We first use 1000 cosmological ray-tracing simulations to examine in detail the impact of masked regions on the weak lensing Minkowski Functionals (MFs). We consider actual sky masks used for a Subaru Suprime-Cam imaging survey. The masks increase the variance of the convergence field and the expected values of the MFs are biased. The bias then affects the non-Gaussian signals induced by the gravitational growth of structure. We then explore how masks affect cosmological parameter estimation. We calculate the cumulative signal-to-noise ratio S/N for masked maps to study the information content of lensing MFs. We show that the degradation of S/N for masked maps is mainly determined by the effective survey…
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