Controlling weak-lensing shear biases from undetected galaxies in the era of Stage IV Surveys
Lisa M Voigt

TL;DR
This paper investigates how undetected faint galaxies contaminate weak-lensing shear measurements in Stage IV surveys, quantifying biases and providing calibration guidance for future cosmological analyses.
Contribution
It introduces a noise-bias-free machine-learning method to assess faint galaxy impacts and identifies key properties affecting shear biases in Euclid-like surveys.
Findings
Faint galaxy blends induce a shear bias of -0.008, exceeding Euclid's requirements.
Calibration simulations must include galaxies as faint as magnitude 27 within 1 arcsec.
Biases depend on faint galaxy density, brightness variation, and alignments, guiding calibration strategies.
Abstract
Gravitational lensing of background galaxies by intervening matter is a powerful probe of the cosmological model. In the era of Stage IV surveys, contamination from galaxies below the detection threshold has emerged as a significant source of bias. Adopting a noise-bias-free machine-learning method to estimate shear, we quantify the impact of faint galaxies for a Euclid-like survey. In our baseline simulations, faint blends induce a multiplicative shear bias of -0.008, well above Euclid's requirement. Similar to previous studies, we find that calibration simulations must include neighbouring galaxies to AB apparent magnitudes as faint as 27.0 (+2.1, -0.9) and within approximately 1.0 (+0.2, -0.2) arcsec of each bright sample galaxy (BSG; the galaxy for which shear is measured). By varying faint galaxy properties, we identify which ones significantly affect shear biases and quantify how…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
