Dark Energy Survey Year 6 results: cell-based coadds and <scp>metadetection</scp> weak lensing shape catalogue

ABSTRACT We present the metadetection weak lensing galaxy shape catalogue from the 6-yr Dark Energy Survey (DES Y6) imaging data. This data set 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 M etadetection 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 $\sigma _{\rm e} = 0.29$. We carry out a suite of validation tests on the catalogue, including testing for point spread function (PSF) leakage, testing for the impact of PSF modelling 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 to estimate the overall multiplicative shear bias of our shear measurement pipeline. We find no detectable multiplicative bias at the roughly half-per cent level, with $m = (3.4 \pm 6.1) \times 10^{-3}$, at $3\sigma$ uncertainty. This is the first time both cell-based coaddition and M etadetection algorithms are applied to observational data, paving the way to the Stage-IV weak lensing surveys.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-09-30
DOI
https://doi.org/10.1093/mnras/staf1661
Citations
2
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
5.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dark Energy Survey Year 6 results: cell-based coadds and metadetection weak lensing shape catalogue

A. Roodman, J. Muir, S. R. Hinton, D. Brooks et al.
2 citations
Monthly Notices of the Royal Astronomical Society
Dark Matter and Cosmic Phenomena
5.61
article

Dark Energy Survey Year 6 results: cell-based coadds and metadetection weak lensing shape catalogue

A. Roodman, J. Muir, S. R. Hinton, D. Brooks, M. Gatti, J. García-Bellido, V. Scarpine, L. N. da Costa, M. R. Smith, M. R. Becker, A Drlica-Wagner, D. Gruen, J. L. Marshall, S. Mau, Gregory Tarlé, G. Giannini, J. Prat, A. Amon, M Rodriguez-Monroy, A. Porredon, P. Wiseman, E Gaztanaga, G. M. Bernstein, D Huterer, Theo Schutt, K Honscheid, E. Krause, Scott Dodelson, T. M. C. Abbott, D. Sanchez Cid, K. Bechtol, M. Tabbutt, Eusebio Sanchez, G. Gutierrez, J. Mena-Fernández, M. Soares-Santos, Marco Raveri, Amy S. K. Tong, R. A. Gruendl, F. Menanteau, J. J. Mohr, A. Ferté, Dhayaa Anbajagane, Mike Jarvis, T. M. Davis, R. L. C. Ogando, K. Herner, J Myles, A. Choi, C. L. Chang, H T Diehl, A. Alarcon, F. Andrade-Oliveira, C. Doux, M. Costanzi, Y Zhang, M. Yamamoto, W. G. Hartley, A A Plazas Malagón, N. Weaverdyck, M. A. Troxel, R Miquel, A Pieres, K. Kuehn, B. Flaugher, A. Carnero Rosell, E. S. Rykoff, S Samuroff, O. Lahav, M. Crocce, B Yanny, J. Frieman, P Doel, M. Aguena, I Sevilla-Noarbe, M. Lima, S Desai, V. Vikram, J Blazek, E. Sheldon, J Carretero, D L Hollowood, J. De Vicente, Erica Huff, P Fosalba, E. Suchyta
article en
2 citations

Abstract

ABSTRACT We present the metadetection weak lensing galaxy shape catalogue from the 6-yr Dark Energy Survey (DES Y6) imaging data. This data set 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 M etadetection 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 $\sigma _{\rm e} = 0.29$. We carry out a suite of validation tests on the catalogue, including testing for point spread function (PSF) leakage, testing for the impact of PSF modelling 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 to estimate the overall multiplicative shear bias of our shear measurement pipeline. We find no detectable multiplicative bias at the roughly half-per cent level, with $m = (3.4 \pm 6.1) \times 10^{-3}$, at $3\sigma$ uncertainty. This is the first time both cell-based coaddition and M etadetection algorithms are applied to observational data, paving the way to the Stage-IV weak lensing surveys.

Monthly Notices of the Royal Astronomical SocietyVol. 543(4)
University of Geneva (CH), Institució Catalana de Recerca i Estudis Avançats (ES), Argonne National Laboratory (US), Oak Ridge National Laboratory (US), Northeastern University (US), Centre National de la Recherche Scientifique (FR), Goddard Space Flight Center (US), Fermi National Accelerator Laboratory (US), Institute of Space Sciences (ES), Jet Propulsion Laboratory (US), University of Wisconsin–Madison (US), University of Arizona (US), Lawrence Berkeley National Laboratory (US), University of Illinois Urbana-Champaign (US), Universidad de La Laguna (ES), Stockholm University (SE), The University of Queensland (AU), Duke University (US), Universidade de São Paulo (BR), Perimeter Institute (CA), Institute for High Energy Physics (ES), Brookhaven National Laboratory (US), Princeton University (US), University of Zurich (CH), University of Michigan (US), Lowell Observatory (US), Trieste Astronomical Observatory (IT), Mitchell Institute (US), SLAC National Accelerator Laboratory (US), Australian Astronomical Observatory (AU), CEA Grenoble (FR), Central University of Kerala (IN), University of Chicago (US), Valongo Observatory (BR), Max Planck Institute for Extraterrestrial Physics (DE), Institut d'Estudis Espacials de Catalunya (ES), Kavli Institute for Particle Astrophysics and Cosmology (US), Institute of Space Sciences (ES), National Observatory (BR), Istituto Nazionale di Fisica Nucleare, Sezione di Genova (IT), Instituto de Astrofísica de Canarias (ES), Institut National de Physique Nucléaire et de Physique des Particules (FR), National Center for Supercomputing Applications (US), Astronomical Institute of the Slovak Academy of Sciences (SK), Cerro Tololo Inter-American Observatory (CL), Laboratoire de Physique Subatomique et de Cosmologie (FR), NSF NOIRLab (US), Laboratório Interinstitucional de e-Astronomia (BR), Institute for Fundamental Physics of the Universe (IT), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), University of Southampton (GB), Institute of Science and Technology, University College London (GB), The Ohio State University (US), University of Portsmouth (GB), University of Cincinnati (US), Universidad Autónoma de Madrid (ES), Indian Institute of Technology Hyderabad (IN), Lancaster University (GB), University of Pennsylvania (US), Ludwig-Maximilians-Universität München (DE), KTH Royal Institute of Technology (SE), Université Grenoble Alpes (FR), Ruhr University Bochum (DE), Texas A&M University (US), University of California, Berkeley (US), Stanford University (US), Macquarie University (AU)
Openalex Percentile: Top 5%
Dark Matter and Cosmic Phenomena
5.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.