The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

Vincenzi, M.; Brout, D.; Armstrong, P.; Popovic, B.; Taylor, G.; Acevedo, M.; Camilleri, R.; Chen, R.; Davis, T. M.; Lee, J.; Lidman, C.; Hinton, S. R.; Kelsey, L.; Kessler, R.; Möller, A.; Qu, H.; Sako, M.; Sanchez, B.; Scolnic, D.; Smith, M.; Sullivan, M.; Wiseman, P.; Asorey, J.; Bassett, B. A.; Carollo, D.; Carr, A.; Foley, R. J.; Frohmaier, C.; Galbany, L.; Glazebrook, K.; Graur, O.; Kovacs, E.; Kuehn, K.; Malik, U.; Nichol, R. C.; Rose, B.; Tucker, B. E.; Toy, M.; Tucker, D. L.; Yuan, F.; Abbott, T.M. C.; Aguena, M.; Alves, O.; Allam, S. S.; Andrade-Oliveira, F.; Annis, J.; Bacon, D.; Bechtol, K.; Bernstein, G. M.; Brooks, D.; Burke, D. L.; Carnero Rosell, A.; Carretero, J.; Castander, F. J.; Conselice, C.; da Costa, L. N.; Pereira, M.E. S.; Desai, S.; Diehl, H. T.; Doel, P.; Ferrero, I.; Flaugher, B.; Friedel, D.; Frieman, J.; García-Bellido, J.; Gatti, M.; Giannini, G.; Gruen, D.; Gruendl, R. A.; Hollowood, D. L.; Honscheid, K.; Huterer, D.; James, D. J.; Kuropatkin, N.; Lahav, O.; Lee, S.; Lin, H.; Marshall, J. L.; Mena-Fernández, J.; Menanteau, F.; Miquel, R.; Palmese, A.; Pieres, A.; Plazas Malagón, A. A.; Porredon, A.; Romer, A. K.; Roodman, A.; Sanchez, E.; Sanchez Cid, D.; Schubnell, M.; Sevilla-Noarbe, I.; Suchyta, E.; Swanson, M.E. C.; Tarle, G.; To, C.; Walker, A. R.; Weaverdyck, N.; Yamamoto, M.

doi:10.3847/1538-4357/ad5e6c

Title: The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

Journal Article · 24 October 2024 · The Astrophysical Journal

DOI: https://doi.org/10.3847/1538-4357/ad5e6c · OSTI ID:3007412

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^[3]; Popovic, B. ^[4]; Taylor, G. ^[3]; Acevedo, M. ^[5]; Camilleri, R. ^[6];

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Duke U.
Boston U.; Harvard-Smithsonian Ctr. Astrophys.
Australian Natl. U., Canberra
IP2I, Lyon
UPenn, Philadelphia
Queensland U.
ARC, Canberra; Australian Natl. U., Canberra (main); Australian Natl. U., Canberra
Portsmouth U., ICG
Chicago U., Astron. Astrophys. Ctr.; Chicago U., KICP
Swinburne U. Tech., Hawthorn
Marseille, CPPM
Southampton U.
Madrid U.
African Inst. Math. Sci., Cape Town; South African Astron. Observ.
Trieste Observ.
UC, Santa Cruz
Barcelona, IEEC
Argonne (main)
Macquarie Univ., NSW (Australia); Lowell Observatory, Flagstaff, AZ (United States)
U. Surrey (main)
Baylor U.; Duke U.
Fermilab
Cerro-Tololo InterAmerican Obs.
LIneA, Rio de Janeiro
U. Michigan, Ann Arbor
Wisconsin U., Madison
University Coll. London
KIPAC, Menlo Park; SLAC
IAC, La Laguna; LIneA, Rio de Janeiro; Laguna U., Tenerife
Barcelona, IFAE
Jodrell Bank; Nottingham U.
Hamburg Observ.
Indian Inst. Tech., Hyderabad
Inst. Theor. Astrophys., Oslo
NCSA, Urbana
Fermilab; Chicago U., KICP
Madrid, IFT
Barcelona, IFAE; Chicago U., KICP
Munich U.
NCSA, Urbana; Illinois U., Urbana, Astron. Dept.
Ohio State U., CCAPP; Ohio State U.
Harvard-Smithsonian Ctr. Astrophys.
Caltech, JPL
Texas A-M
LPSC, Grenoble
ICREA, Barcelona; Barcelona, Autonoma U.; Barcelona, IFAE
Carnegie Mellon U.
LIneA, Rio de Janeiro; Rio de Janeiro Observ.
Ruhr U., Bochum
Sussex U.
Madrid, CIEMAT
ORNL, Oak Ridge (main)
Ohio State U., CCAPP
U. Michigan, Ann Arbor; LBNL, Berkeley

We present the full Hubble diagram of photometrically classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts of 7000 host galaxies. Based on the light-curve quality, we select 1635 photometrically identified SNe Ia with spectroscopic redshift 0.10 < z < 1.13, which is the largest sample of supernovae from any single survey and increases the number of known z > 0.5 supernovae by a factor of 5. In a companion paper, we present cosmological results of the DES-SN sample combined with 194 spectroscopically classified SNe Ia at low redshift as an anchor for cosmological fits. Here we present extensive modeling of this combined sample and validate the entire analysis pipeline used to derive distances. We show that the statistical and systematic uncertainties on cosmological parameters are $${\sigma }_{{{\rm{\Omega }}}_{M},\mathrm{stat}+\mathrm{sys}}^{{\rm{\Lambda }}\mathrm{CDM}}=$$ 0.017 in a flat ΛCDM model, and $$({\sigma }_{{{\rm{\Omega }}}_{M}},{\sigma }_{w}{)}_{\mathrm{stat}+\mathrm{sys}}^{w\mathrm{CDM}}$$ = (0.082, 0.152) in a flat wCDM model. Combining the DES SN data with the highly complementary cosmic microwave background measurements by Planck Collaboration reduces by a factor of 4 uncertainties on cosmological parameters. In all cases, statistical uncertainties dominate over systematics. We show that uncertainties due to photometric classification make up less than 10% of the total systematic uncertainty budget. This result sets the stage for the next generation of SN cosmology surveys such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time.

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Research Organization:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: 89243024CSC000002; AC02-07CH11359; AC05-00OR22725; SC0009924; SC0019193

OSTI ID:: 3007412

Report Number(s):: FERMILAB-PUB--23-693-PPD

Journal Information:: The Astrophysical Journal, Journal Name: The Astrophysical Journal Journal Issue: 1 Vol. 975; ISSN 0004-637X; ISSN 1538-4357

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

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Host Galaxy Identification for Supernova Surveys Gupta, Ravi R.; Kuhlmann, Steve; Kovacs, Eve The Astronomical Journal, Vol. 152, Issue 6 https://doi.org/10.3847/0004-6256/152/6/154	journal	November 2016
The Carnegie Supernova Project. I. Third Photometry Data Release of Low-redshift Type Ia Supernovae and Other White Dwarf Explosions Krisciunas, Kevin; Contreras, Carlos; Burns, Christopher R. The Astronomical Journal, Vol. 154, Issue 5 https://doi.org/10.3847/1538-3881/aa8df0	journal	November 2017
Forward Global Photometric Calibration of the Dark Energy Survey Burke, D. L.; Rykoff, E. S.; Allam, S. The Astronomical Journal, Vol. 155, Issue 1 https://doi.org/10.3847/1538-3881/aa9f22	journal	December 2017
First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy Smith, M.; D’Andrea, C. B.; Sullivan, M. The Astronomical Journal, Vol. 160, Issue 6 https://doi.org/10.3847/1538-3881/abc01b	journal	November 2020
SCONE: Supernova Classification with a Convolutional Neural Network Qu, Helen; Sako, Masao; Möller, Anais The Astronomical Journal, Vol. 162, Issue 2 https://doi.org/10.3847/1538-3881/ac0824	journal	July 2021
Correcting Type Ia Supernova Distances for Selection Biases and Contamination in Photometrically Identified Samples Kessler, R.; Scolnic, D. The Astrophysical Journal, Vol. 836, Issue 1 https://doi.org/10.3847/1538-4357/836/1/56	journal	February 2017
Measuring the Properties of Dark Energy with Photometrically Classified Pan-STARRS Supernovae. I. Systematic Uncertainty from Core-collapse Supernova Contamination Jones, D. O.; Scolnic, D. M.; Riess, A. G. The Astrophysical Journal, Vol. 843, Issue 1 https://doi.org/10.3847/1538-4357/aa767b	journal	June 2017
Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at Redshift Two Smith, M.; Sullivan, M.; Nichol, R. C. The Astrophysical Journal, Vol. 854, Issue 1 https://doi.org/10.3847/1538-4357/aaa126	journal	February 2018
Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters Jones, D. O.; Scolnic, D. M.; Riess, A. G. The Astrophysical Journal, Vol. 857, Issue 1 https://doi.org/10.3847/1538-4357/aab6b1	journal	April 2018
The Complete Light-curve Sample of Spectroscopically Confirmed SNe Ia from Pan-STARRS1 and Cosmological Constraints from the Combined Pantheon Sample Scolnic, D. M.; Jones, D. O.; Rest, A. The Astrophysical Journal, Vol. 859, Issue 2 https://doi.org/10.3847/1538-4357/aab9bb	journal	May 2018
Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints Hounsell, R.; Scolnic, D.; Foley, R. J. The Astrophysical Journal, Vol. 867, Issue 1 https://doi.org/10.3847/1538-4357/aac08b	journal	October 2018
LSST: From Science Drivers to Reference Design and Anticipated Data Products Ivezić, Željko; Kahn, Steven M.; Tyson, J. Anthony The Astrophysical Journal, Vol. 873, Issue 2 https://doi.org/10.3847/1538-4357/ab042c	journal	March 2019
First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release Brout, D.; Sako, M.; Scolnic, D. The Astrophysical Journal, Vol. 874, Issue 1 https://doi.org/10.3847/1538-4357/ab06c1	journal	March 2019
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation Brout, D.; Scolnic, D.; Kessler, R. The Astrophysical Journal, Vol. 874, Issue 2 https://doi.org/10.3847/1538-4357/ab08a0	journal	April 2019
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope Jones, D. O.; Scolnic, D. M.; Foley, R. J. The Astrophysical Journal, Vol. 881, Issue 1 https://doi.org/10.3847/1538-4357/ab2bec	journal	August 2019
It’s Dust: Solving the Mysteries of the Intrinsic Scatter and Host-galaxy Dependence of Standardized Type Ia Supernova Brightnesses Brout, Dillon; Scolnic, Daniel The Astrophysical Journal, Vol. 909, Issue 1 https://doi.org/10.3847/1538-4357/abd69b	journal	March 2021
The Young Supernova Experiment: Survey Goals, Overview, and Operations Jones, D. O.; Foley, R. J.; Narayan, G. The Astrophysical Journal, Vol. 908, Issue 2 https://doi.org/10.3847/1538-4357/abd7f5	journal	February 2021
Improved Treatment of Host-galaxy Correlations in Cosmological Analyses with Type Ia Supernovae Popovic, Brodie; Brout, Dillon; Kessler, Richard The Astrophysical Journal, Vol. 913, Issue 1 https://doi.org/10.3847/1538-4357/abf14f	journal	May 2021
SALT3: An Improved Type Ia Supernova Model for Measuring Cosmic Distances Kenworthy, W. D.; Jones, D. O.; Dai, M. The Astrophysical Journal, Vol. 923, Issue 2 https://doi.org/10.3847/1538-4357/ac30d8	journal	December 2021
The Pantheon+ Analysis: Evaluating Peculiar Velocity Corrections in Cosmological Analyses with Nearby Type Ia Supernovae Peterson, Erik R.; Kenworthy, W. D’Arcy; Scolnic, Daniel The Astrophysical Journal, Vol. 938, Issue 2 https://doi.org/10.3847/1538-4357/ac4698	journal	October 2022
The Pantheon+ Analysis: The Full Data Set and Light-curve Release Scolnic, Dan; Brout, Dillon; Carr, Anthony The Astrophysical Journal, Vol. 938, Issue 2 https://doi.org/10.3847/1538-4357/ac8b7a	journal	October 2022
Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC Galaxies Chen, R.; Scolnic, D.; Rozo, E. The Astrophysical Journal, Vol. 938, Issue 1 https://doi.org/10.3847/1538-4357/ac8b82	journal	October 2022
The Pantheon+ Analysis: SuperCal-fragilistic Cross Calibration, Retrained SALT2 Light-curve Model, and Calibration Systematic Uncertainty Brout, Dillon; Taylor, Georgie; Scolnic, Dan The Astrophysical Journal, Vol. 938, Issue 2 https://doi.org/10.3847/1538-4357/ac8bcc	journal	October 2022
The Pantheon+ Analysis: Cosmological Constraints Brout, Dillon; Scolnic, Dan; Popovic, Brodie The Astrophysical Journal, Vol. 938, Issue 2 https://doi.org/10.3847/1538-4357/ac8e04	journal	October 2022
The Pantheon+ Analysis: Forward Modeling the Dust and Intrinsic Color Distributions of Type Ia Supernovae, and Quantifying Their Impact on Cosmological Inferences Popovic, Brodie; Brout, Dillon; Kessler, Richard The Astrophysical Journal, Vol. 945, Issue 1 https://doi.org/10.3847/1538-4357/aca273	journal	March 2023
The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae Qu, H.; Sako, M.; Vincenzi, M. The Astrophysical Journal, Vol. 964, Issue 2 https://doi.org/10.3847/1538-4357/ad251d	journal	March 2024
Revised Catalog of GALEX Ultraviolet Sources. I. The All-Sky Survey: GUVcat_AIS Bianchi, Luciana; Shiao, Bernie; Thilker, David The Astrophysical Journal Supplement Series, Vol. 230, Issue 2 https://doi.org/10.3847/1538-4365/aa7053	journal	June 2017
Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology Sevilla-Noarbe, I.; Bechtol, K.; Carrasco Kind, M. The Astrophysical Journal Supplement Series, Vol. 254, Issue 2 https://doi.org/10.3847/1538-4365/abeb66	journal	May 2021
The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae Aleo, P. D.; Malanchev, K.; Sharief, S. The Astrophysical Journal Supplement Series, Vol. 266, Issue 1 https://doi.org/10.3847/1538-4365/acbfba	journal	May 2023
Measuring type ia Supernova Populations of Stretch and Color and Predicting Distance Biases Scolnic, D.; Kessler, R. The Astrophysical Journal, Vol. 822, Issue 2 https://doi.org/10.3847/2041-8205/822/2/L35	journal	May 2016
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters Abbott, T. M. C.; Allam, S.; Andersen, P. The Astrophysical Journal, Vol. 872, Issue 2 https://doi.org/10.3847/2041-8213/ab04fa	journal	February 2019
Supernova Siblings: Assessing the Consistency of Properties of Type Ia Supernovae that Share the Same Parent Galaxies Scolnic, D.; Smith, M.; Massiah, A. The Astrophysical Journal, Vol. 896, Issue 1 https://doi.org/10.3847/2041-8213/ab8735	journal	June 2020
Binning is Sinning (Supernova Version): The Impact of Self-calibration in Cosmological Analyses with Type Ia Supernovae Brout, Dillon; Hinton, Samuel R.; Scolnic, Dan The Astrophysical Journal Letters, Vol. 912, Issue 2 https://doi.org/10.3847/2041-8213/abf4db	journal	May 2021
Binning is Sinning: Redemption for Hubble Diagram Using Photometrically Classified Type Ia Supernovae Kessler, R.; Vincenzi, M.; Armstrong, P. The Astrophysical Journal Letters, Vol. 952, Issue 1 https://doi.org/10.3847/2041-8213/ace34d	journal	July 2023

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