Lensing in the Blue. III. Weak-lensing Shape Catalogs of 30 Merging Galaxy Clusters

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 2023 April–May. 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 analyze a parallel set of simulated images that incorporate the real observing conditions from the flight, including measured SuperBIT PSFs, observed sky backgrounds, and detector noise, yielding a bias of (1.54% ± 6.00%).

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Publication Details

Journal
The Astrophysical Journal
Published
2026-10-28
DOI
https://doi.org/10.3847/1538-4357/aea6a5
Citations
1
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
3.08
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article

Lensing in the Blue. III. Weak-lensing Shape Catalogs of 30 Merging Galaxy Clusters

Susan F. Redmond, Mohamed M. Shaaban, Jürgen Schmoll, William C. Jones et al.
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The Astrophysical Journal
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article

Lensing in the Blue. III. Weak-lensing Shape Catalogs of 30 Merging Galaxy Clusters

Susan F. Redmond, Mohamed M. Shaaban, Jürgen Schmoll, William C. Jones, Bradley Holder, Luis Javier Romualdez, Sut-Ieng Tam, Andrew Robertson, Jason S.-Y. Leung, Mathilde Jauzac, Paul Clark, Steven J. Benton, Matthew Craigie, Giulia Cerini, Ajay Gill, Maya Amit, David J. Lagattuta, Christopher John Damaren, David Harvey, Anthony M. Brown, T. F. Eifler, Jason D. Rhodes, A Z Vitorelli, Johanna M. Nagy, A. Zenteno, Ellen Sirks, Jacqueline McCleary, Emaad Paracha, Georgios N. Vassilakis, Gavin Leroy, Lun Li, Eric Habjan, Thuy Vy T. Luu, Spencer Everett, Leo W H Fung, Richard Massey, Eric M. Huff, Philippe Voyer, Sayan Saha, John W. Hartley, C. Barth Netterfield
article en
1 citations

Abstract

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 2023 April–May. 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 analyze a parallel set of simulated images that incorporate the real observing conditions from the flight, including measured SuperBIT PSFs, observed sky backgrounds, and detector noise, yielding a bias of (1.54% ± 6.00%).

The Astrophysical JournalVol. 1011(1)
Worcester Polytechnic Institute (US), California Institute of Technology (US), Herzberg Institute of Astrophysics (CA), Northeastern University (US), University of Arizona (US), National Yang Ming Chiao Tung University (TW), University of Toronto (CA), Durham University (GB), Princeton University (US), University of Cambridge (GB), Cerro Tololo Inter-American Observatory (CL), NSF NOIRLab (US), National Research Council Canada (CA), Imperial College London (GB), École Polytechnique Fédérale de Lausanne (CH), New York University (US), Case Western Reserve University (US), Universidad Autónoma de Madrid (ES)
Openalex Percentile: Top 10%
Galaxies: Formation, Evolution, Phenomena
3.08
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