Galaxy-Point Spread Function correlations as a probe of weak-lensing systematics with UNIONS data
Sacha Guerrini, Martin Kilbinger, Hubert Leterme, Axel Guinot, Jingwei Wang, Fabian Hervas Peters, Hendrik Hildebrandt, Michael J. Hudson, and Alan McConnachie

TL;DR
This paper introduces a fast, semi-analytical method to estimate PSF-related systematics in weak lensing surveys, validated on UNIONS data, aiding future cosmic shear analyses.
Contribution
It presents a new analytical covariance estimation for $ au$-statistics, enabling rapid assessment of PSF systematics and validation of PSF models in weak lensing.
Findings
Analytical covariance matches simulation-based results.
Method reduces computation time for systematic evaluation.
Parameter degeneracies can be mitigated with redefined $ au$-statistics.
Abstract
Weak gravitational lensing requires precise measurements of galaxy shapes and therefore an accurate knowledge of the PSF model. The latter can be a source of systematics that affect the shear two-point correlation function. A key stake of weak lensing analysis is to forecast the systematics due to the PSF. Correlation functions of galaxies and the PSF, the so-called - and -statistics, are used to evaluate the level of systematics coming from the PSF model and PSF corrections, and contributing to the two-point correlation function used to perform cosmological inference. Our goal is to introduce a fast and simple method to estimate this level of systematics and assess its agreement with state-of-the-art approaches. We introduce a new way to estimate the covariance matrix of the -statistics using analytical expressions. The covariance allows us to estimate parameters…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
