Lensing in the Blue III: Weak Lensing Shape Catalogs of 30 Merging Galaxy Clusters
Sayan Saha, Jacqueline E. McCleary, Spencer W. Everett, Maya Amit, Georgios N. Vassilakis, Emaad Paracha, Leo W.H. Fung, Steven J. Benton, William C. Jones, Gavin Leroy, Eric M. Huff, Richard Massey, Thuy Vy T. Luu, Ajay S. Gill, Mohamed M. Shaaban, Philippe Voyer

TL;DR
This paper presents a weak gravitational lensing dataset of 30 merging galaxy clusters obtained from the balloon-borne SuperBIT telescope, demonstrating high-quality shape measurements and calibration techniques in near-space conditions.
Contribution
It introduces a novel weak-lensing shape catalog from SuperBIT, showcasing calibration and validation methods for unbiased shear measurements in a balloon-borne observational platform.
Findings
Achieved near diffraction-limited imaging above 98% of Earth's atmosphere.
Calibrated galaxy shapes with metacalibration for unbiased weak-lensing analysis.
Estimated shear bias of (1.1 ± 7.8)% using realistic simulations.
Abstract
We present the weak gravitational lensing dataset from the Super-pressure Balloon-Borne Imaging Telescope (SuperBIT), which imaged 30 galaxy clusters during its 45 night flight in April to May 2023. SuperBIT is a first-of-its-kind balloon-borne imaging telescope that achieved near diffraction-limited observations in near-space conditions above 98% of the Earth's atmosphere. We use the metacalibration algorithm to obtain calibrated galaxy shapes for our target clusters and several calibration fields, enabling unbiased reconstruction of the weak-lensing signal. We employ several diagnostics throughout the pipeline, including assessments of point-spread function (PSF) modeling residuals and their impact on weak-lensing measurements, as well as tests for correlations between galaxy shapes and measured galaxy and PSF properties. To assess the multiplicative shear bias of the pipeline, we…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Radio Astronomy Observations and Technology
