Weak lensing shear calibration with simulations of the HSC survey
Rachel Mandelbaum, Fran\c{c}ois Lanusse, Alexie Leauthaud, Robert, Armstrong, Melanie Simet, Hironao Miyatake, Joshua E. Meyers, James Bosch,, Ryoma Murata, Satoshi Miyazaki, Masayuki Tanaka

TL;DR
This paper develops realistic simulations incorporating HSC observing conditions and galaxy morphologies to calibrate weak lensing shear measurements, effectively controlling biases to within 1% for the HSC survey.
Contribution
The study introduces detailed simulations that include nearby galaxies and blends, improving shear calibration accuracy for the HSC survey.
Findings
Inclusion of nearby galaxies is crucial for realistic shear bias estimation.
Selection biases are identified and corrected, reducing biases to below 1%.
Shear calibration is robust against various sample cuts.
Abstract
We present results from a set of simulations designed to constrain the weak lensing shear calibration for the Hyper Suprime-Cam (HSC) survey. These simulations include HSC observing conditions and galaxy images from the Hubble Space Telescope (HST), with fully realistic galaxy morphologies and the impact of nearby galaxies included. We find that the inclusion of nearby galaxies in the images is critical to reproducing the observed distributions of galaxy sizes and magnitudes, due to the non-negligible fraction of unrecognized blends in ground-based data, even with the excellent typical seeing of the HSC survey (0.58" in the -band). Using these simulations, we detect and remove the impact of selection biases due to the correlation of weights and the quantities used to define the sample (S/N and apparent size) with the lensing shear. We quantify and remove galaxy property-dependent…
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