Dark Energy Survey Year 6 Results: Cell-based Coadds and Metadetection Weak Lensing Shape Catalogue

We present the Metadetection weak lensing galaxy shape catalogue from the six-year Dark Energy Survey (DES Y6) imaging data. This dataset is the final release from DES, spanning 4422 deg$^2$ of the southern sky. We describe how the catalogue was constructed, including the two new major processing steps, cell-based image coaddition and shear measurements with Metadetection. The DES Y6 Metadetection weak lensing shape catalogue consists of 151,922,791 galaxies detected over riz bands, with an effective number density of $n_{\rm eff}$ =8.22 galaxies per arcmin$^2$ and shape noise of $σ_e$ = 0.29. We carry out a suite of validation tests on the catalogue, including testing for PSF leakage, testing for the impact of PSF modeling errors, and testing the correlation of the shear measurements with galaxy, PSF, and survey properties. In addition to demonstrating that our catalogue is robust for weak lensing science, we use the DES Y6 image simulation suite (Mau, Becker et al. 2025) to estimate the overall multiplicative shear bias of our shear measurement pipeline. We find no detectable multiplicative bias at the roughly half-percent level, with m = (3.4 $\pm$ 6.1) x $10^{-3}$, at 3$σ$ uncertainty. This is the first time both cell-based coaddition and Metadetection algorithms are applied to observational data, paving the way to the Stage-IV weak lensing surveys.

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Journal
DIGITAL.CSIC (Spanish National Research Council (CSIC))
Published
2025-01-10
DOI
https://doi.org/10.48550/arxiv.2501.05665
Citations
3
Primary Topic
CCD and CMOS Imaging Sensors
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article
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article

Dark Energy Survey Year 6 Results: Cell-based Coadds and Metadetection Weak Lensing Shape Catalogue

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3 citations
DIGITAL.CSIC (Spanish National Research Council (CSIC))
CCD and CMOS Imaging Sensors
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Dark Energy Survey Year 6 Results: Cell-based Coadds and Metadetection Weak Lensing Shape Catalogue

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article en
3 citations

Abstract

We present the Metadetection weak lensing galaxy shape catalogue from the six-year Dark Energy Survey (DES Y6) imaging data. This dataset is the final release from DES, spanning 4422 deg$^2$ of the southern sky. We describe how the catalogue was constructed, including the two new major processing steps, cell-based image coaddition and shear measurements with Metadetection. The DES Y6 Metadetection weak lensing shape catalogue consists of 151,922,791 galaxies detected over riz bands, with an effective number density of $n_{\rm eff}$ =8.22 galaxies per arcmin$^2$ and shape noise of $σ_e$ = 0.29. We carry out a suite of validation tests on the catalogue, including testing for PSF leakage, testing for the impact of PSF modeling errors, and testing the correlation of the shear measurements with galaxy, PSF, and survey properties. In addition to demonstrating that our catalogue is robust for weak lensing science, we use the DES Y6 image simulation suite (Mau, Becker et al. 2025) to estimate the overall multiplicative shear bias of our shear measurement pipeline. We find no detectable multiplicative bias at the roughly half-percent level, with m = (3.4 $\pm$ 6.1) x $10^{-3}$, at 3$σ$ uncertainty. This is the first time both cell-based coaddition and Metadetection algorithms are applied to observational data, paving the way to the Stage-IV weak lensing surveys.

DIGITAL.CSIC (Spanish National Research Council (CSIC))
Institució Catalana de Recerca i Estudis Avançats (ES), Nordic Institute for Theoretical Physics (SE), California Institute of Technology (US), Universitat Autònoma de Barcelona (ES), Argonne National Laboratory (US), Oak Ridge National Laboratory (US), University of Wisconsin System (US), Fermi National Accelerator Laboratory (US), University of Trieste (IT), Universidad de La Laguna (ES), The University of Queensland (AU), Urbana University (US), Perimeter Institute (CA), University of California, Santa Cruz (US), Institute for High Energy Physics (ES), Princeton University (US), University of Michigan (US), Lowell Observatory (US), Trieste Astronomical Observatory (IT), The Ohio State University at Lima (US), Mount Stromlo Observatory (AU), California University of Pennsylvania (US), Valongo Observatory (BR), Institut d'Estudis Espacials de Catalunya (ES), Kavli Institute for Particle Astrophysics and Cosmology (US), Electronics for Imaging (United States) (US), Genoa (Brazil) (BR), Menlo School (US), Institut Català de Ciències del Clima (ES), Michigan United (US), Astrobiology Center (JP), California Consortium of Addiction Programs and Professionals (US), Unidades Centrales Científico-Técnicas (ES), Istituto Nazionale di Fisica Nucleare, Sezione di Genova (IT), Institut für Urheber- und Medienrecht (DE), Laboratoire de Physique Subatomique et de Cosmologie (FR), Laboratório Interinstitucional de e-Astronomia (BR), Institute for Fundamental Physics of the Universe (IT), Campbell Collaboration (NO), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), State Library of Ohio (US), University of Southampton (GB), University College London (GB), University of Portsmouth (GB), Indian Institute of Technology Hyderabad (IN), Ruhr University Bochum (DE), Netherlands Institute for Radio Astronomy (NL), Brookhaven College (US)
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