The Dark Energy Survey Supernova Program: Light Curves and 5 Yr Data Release

Abstract We present griz photometric light curves for the full 5 yr of the Dark Energy Survey Supernova (DES-SN) program, obtained with both forced point-spread function photometry on difference images ( DiffImg ) performed during survey operations, and scene modelling photometry (SMP) on search images processed after the survey. This release contains 31,636 DiffImg and 19,706 high-quality SMP light curves, the latter of which contain 1635 photometrically classified SNe that pass cosmology quality cuts. This sample spans the largest redshift ( z ) range ever covered by a single SN survey (0.1 < z < 1.13) and is the largest single sample from a single instrument of SNe ever used for cosmological constraints. We describe in detail the improvements made to obtain the final DES-SN photometry and provide a comparison to what was used in the 3 yr DES-SN spectroscopically confirmed Type Ia SN sample. We also include a comparative analysis of the performance of the SMP photometry with respect to the real-time DiffImg forced photometry and find that SMP photometry is more precise, more accurate, and less sensitive to the host-galaxy surface brightness anomaly. The public release of the light curves and ancillary data can be found at github.com/des-science/DES-SN5YR and doi: 10.5281/zenodo.12720777 .

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Publication Details

Journal
The Astrophysical Journal
Published
2024-10-21
DOI
https://doi.org/10.3847/1538-4357/ad739a
Citations
39
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
12.93

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article

The Dark Energy Survey Supernova Program: Light Curves and 5 Yr Data Release

A. Pieres, B. Sánchez, O. Lahav, Benjamin Rose et al.
39 citations
The Astrophysical Journal
Gamma-ray bursts and supernovae
12.93
article

The Dark Energy Survey Supernova Program: Light Curves and 5 Yr Data Release

A. Pieres, B. Sánchez, O. Lahav, Benjamin Rose, S. Everett, I. Ferrero, S. R. Hinton, J. Myles, D. Brooks, A. Möller, L. Galbany, M. Gatti, J. Carretero, J. García-Bellido, D. Scolnic, S. Allam, J. L. Marshall, R. A. Gruendl, L. N. da Costa, M. R. Smith, G. Giannini, J. Annis, R Chen, P. Armstrong, E. Kovacs, R. Keßler, J. Frieman, Karl Glazebrook, Francisco Javier Castander, Santiago Avila, Kathy Romer, A. A. Plazas, Gregory Tarlé, S. González–Gaitán, E. Suchyta, A. Porredon, Brad E. Tucker, O. Alves, P. Wiseman, A. R. Walker, Helen Qu, P Shah, N. Weaverdyck, D. J. James, A. Palmese, Gaston Gutierrez, J. Asorey, D. Sanchez Cid, D. Carollo, Eusebio Sanchez, Dillon Brout, J. Mena-Fernández, M. Šako, Geraint F. Lewis, A. Carnero Rosell, ENRIQUE GAZTAÑAGA, K. Honscheid, R. Camilleri, K. Kuehn, J. García-Bellido, David Bacon, M. Vincenzi, S. Lee, T. M. Davis, R. L. C. Ogando, K. Herner, M. Acevedo, R. Miquel, M. E. S. Pereira, Christopher E. Lidman, H. T. Diehl, S. Desai, M. Aguena, D. L. Tucker, I. Sevilla-Noarbe, M. Toy, B. Flaugher, B Popovic, D. L. Burke, M. Sullivan, R. C. Nichol, Javier Mauricio Duarte, H. Lin, M. E. C. Swanson, J Lee, T. M. C. Abbott, V. Vikram, L. Kelsey
article en
39 citations

Abstract

Abstract We present griz photometric light curves for the full 5 yr of the Dark Energy Survey Supernova (DES-SN) program, obtained with both forced point-spread function photometry on difference images ( DiffImg ) performed during survey operations, and scene modelling photometry (SMP) on search images processed after the survey. This release contains 31,636 DiffImg and 19,706 high-quality SMP light curves, the latter of which contain 1635 photometrically classified SNe that pass cosmology quality cuts. This sample spans the largest redshift ( z ) range ever covered by a single SN survey (0.1 < z < 1.13) and is the largest single sample from a single instrument of SNe ever used for cosmological constraints. We describe in detail the improvements made to obtain the final DES-SN photometry and provide a comparison to what was used in the 3 yr DES-SN spectroscopically confirmed Type Ia SN sample. We also include a comparative analysis of the performance of the SMP photometry with respect to the real-time DiffImg forced photometry and find that SMP photometry is more precise, more accurate, and less sensitive to the host-galaxy surface brightness anomaly. The public release of the light curves and ancillary data can be found at github.com/des-science/DES-SN5YR and doi: 10.5281/zenodo.12720777 .

The Astrophysical JournalVol. 975(1)
Université Claude Bernard Lyon 1 (FR), Boston University (US), Australian National University (AU), Institució Catalana de Recerca i Estudis Avançats (ES), Universidad Complutense de Madrid (ES), Argonne National Laboratory (US), Oak Ridge National Laboratory (US), Centre National de la Recherche Scientifique (FR), The University of Sydney (AU), Fermi National Accelerator Laboratory (US), Institute of Space Sciences (ES), Jet Propulsion Laboratory (US), University of Lisbon (PT), Lawrence Berkeley National Laboratory (US), Baylor University (US), University of Illinois Urbana-Champaign (US), Universität Hamburg (DE), University of Sussex (GB), The University of Queensland (AU), Duke University (US), University of Oslo (NO), Institute for High Energy Physics (ES), Princeton University (US), Aix-Marseille Université (FR), University of Michigan (US), Lowell Observatory (US), Trieste Astronomical Observatory (IT), Mitchell Institute (US), SLAC National Accelerator Laboratory (US), Australian Astronomical Observatory (AU), University of Surrey (GB), University of Chicago (US), Valongo Observatory (BR), Institut d'Estudis Espacials de Catalunya (ES), Kavli Institute for Particle Astrophysics and Cosmology (US), Center for Astrophysics Harvard & Smithsonian (US), National Observatory (BR), Instituto de Astrofísica de Canarias (ES), National Center for Supercomputing Applications (US), Cerro Tololo Inter-American Observatory (CL), Laboratoire de Physique Subatomique et de Cosmologie (FR), Laboratório Interinstitucional de e-Astronomia (BR), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), University of Southampton (GB), University College London (GB), The Ohio State University (US), Swinburne University of Technology (AU), University of Portsmouth (GB), Universidad Autónoma de Madrid (ES), Indian Institute of Technology Hyderabad (IN), Lancaster University (GB), Carnegie Mellon University (US), University of Pennsylvania (US), Ruhr University Bochum (DE), Texas A&M University (US), University of California, Berkeley (US), Stanford University (US), Macquarie University (AU)
National Science Foundation, U.S. Department of Energy, National Energy Research Scientific Computing Center, Instituto Nacional de Ciência e Tecnologia de Estudos do Espaço, University of Illinois at Urbana-Champaign, Science and Technology Facilities Council, European Research Council
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Openalex Percentile: Top 1%
Gamma-ray bursts and supernovae
12.93
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