The dark energy survey 5-yr photometrically identified type Ia supernovae

A. Möller; M. Smith; M. Sako; M. Sullivan; M. Vincenzi; P. Wiseman; P. Armstrong; J. Asorey; D. Brout; D. Carollo; T. M. Davis; C. Frohmaier; L. Galbany; K. Glazebrook; L. Kelsey; R. Kessler; G. F. Lewis; C. Lidman; U. Malik; D. Scolnic; R. C. Nichol; B. E. Tucker; T. M. C. Abbott; M. Aguena; S. Allam; J. Annis; E. Bertin; S. Bocquet; D. Brooks; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; C. Conselice; M. Costanzi; M. Crocce; L. N. da Costa; J. De Vicente; H. T. Diehl; S. Desai; P. Doel; S. Everett; I. Ferrero; D. A. Finley; B. Flaugher; D. Friedel; J. Frieman; J. García-Bellido; D. W. Gerdes; D. Gruen; R. A. Gruendl; J. Gschwend; G. Gutierrez; K. Herner; S. R. Hinton; D. L. Hollowood; K. Honscheid; D. J. James; K. Kuehn; N. Kuropatkin; O. Lahav; M. March; J. L. Marshall; F. Menanteau; R. Miquel; R. Morgan; A. Palmese; F. Paz-Chinchón; A. Pieres; A. A. Plazas Malagón; A. K. Romer; A. Roodman; E. Sanchez; V. Scarpine; M. Schubnell; S. Serrano; I. Sevilla-Noarbe; E. Suchyta; G. Tarle; D. Thomas; C. To; T. N. Varga

doi:10.1093/mnras/stac1691

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The dark energy survey 5-yr photometrically identified type Ia supernovae

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The dark energy survey 5-yr photometrically identified type Ia supernovae

A. Möller, M. Smith, M. Sako, M. Sullivan, M. Vincenzi, P. Wiseman, P. Armstrong, J. Asorey, D. Brout, D. Carollo, …

Monthly notices of the Royal Astronomical Society, Vol.514(4), pp.5159-5177

07/07/2022

DOI: https://doi.org/10.1093/mnras/stac1691

Abstract

ABSTRACT As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multiband light curves and host galaxy redshifts. For this analysis, we use the photometric classification framework SuperNNovatrained on realistic DES-like simulations. For reliable classification, we process the DES SN programme (DES-SN) data and introduce improvements to the classifier architecture, obtaining classification accuracies of more than 98 per cent on simulations. This is the first SN classification to make use of ensemble methods, resulting in more robust samples. Using photometry, host galaxy redshifts, and a classification probability requirement, we identify 1863 SNe Ia from which we select 1484 cosmology-grade SNe Ia spanning the redshift range of 0.07 < z < 1.14. We find good agreement between the light-curve properties of the photometrically selected sample and simulations. Additionally, we create similar SN Ia samples using two types of Bayesian Neural Network classifiers that provide uncertainties on the classification probabilities. We test the feasibility of using these uncertainties as indicators for out-of-distribution candidates and model confidence. Finally, we discuss the implications of photometric samples and classification methods for future surveys such as Vera C. Rubin Observatory Legacy Survey of Space and Time.

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Title: The dark energy survey 5-yr photometrically identified type Ia supernovae
Creators: A. Möller - Swinburne University of Technology
M. Smith - University of Southampton
M. Sako - University of Pennsylvania
M. Sullivan - University of Southampton
M. Vincenzi - University of Portsmouth
P. Wiseman - University of Southampton
P. Armstrong - Australian National University
J. Asorey - Korea Astronomy and Space Science Institute
D. Brout - University of Pennsylvania
D. Carollo - Osservatorio Astrofisico di Torino
T. M. Davis - University of Queensland
C. Frohmaier - University of Portsmouth
L. Galbany - University of Pittsburgh
K. Glazebrook - Swinburne University of Technology
L. Kelsey - University of Portsmouth
R. Kessler - University of Chicago
G. F. Lewis - University of Sydney
C. Lidman - ACT
U. Malik - Australian National University
D. Scolnic - Duke University
R. C. Nichol - University of Surrey, School of Maths and Physics
B. E. Tucker - Supreme Council Of Health
T. M. C. Abbott - Cerro Tololo Inter-American Observatory
M. Aguena - Laboratório Interinstitucional de e-Astronomia
S. Allam - Fermi National Accelerator Laboratory
J. Annis - Fermi National Accelerator Laboratory
E. Bertin - Institut d'Astrophysique de Paris
S. Bocquet - Ludwig-Maximilians-Universität München
D. Brooks - University College London
D. L. Burke - Stanford University
A. Carnero Rosell - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
M. Carrasco Kind - University of Illinois Urbana-Champaign
J. Carretero - Barcelona Institute for Science and Technology
F. J. Castander - Capita
C. Conselice - University of Manchester
M. Costanzi - University of Trieste
M. Crocce - Capita
L. N. da Costa - Laboratório Interinstitucional de e-Astronomia
J. De Vicente - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
H. T. Diehl - Fermi National Accelerator Laboratory
S. Desai - Indian Institute of Technology Hyderabad
P. Doel - University College London
S. Everett - Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
I. Ferrero - University of Oslo
D. A. Finley - Fermi National Accelerator Laboratory
B. Flaugher - Fermi National Accelerator Laboratory
D. Friedel - National Center for Supercomputing Applications
J. Frieman - Fermi National Accelerator Laboratory
J. García-Bellido - Autonomous University of Madrid
D. W. Gerdes - University of Michigan–Ann Arbor
D. Gruen - Ludwig-Maximilians-Universität München
R. A. Gruendl - University of Illinois Urbana-Champaign
J. Gschwend - Laboratório Interinstitucional de e-Astronomia
G. Gutierrez - Fermi National Accelerator Laboratory
K. Herner - Fermi National Accelerator Laboratory
S. R. Hinton - University of Queensland
D. L. Hollowood - Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
K. Honscheid - The Ohio State University
D. J. James - Harvard University
K. Kuehn - Macquarie University
N. Kuropatkin - Fermi National Accelerator Laboratory
O. Lahav - University College London
M. March - University of Pennsylvania
J. L. Marshall - Texas A&M University
F. Menanteau - Clark Art Institute
R. Miquel - Universidade Aberta
R. Morgan - University of Wisconsin–Madison
A. Palmese - Fermi National Accelerator Laboratory
F. Paz-Chinchón - University of Cambridge
A. Pieres - Laboratório Interinstitucional de e-Astronomia
A. A. Plazas Malagón - Princeton University
A. K. Romer - University of Sussex
A. Roodman - Kavli Institute for Particle Astrophysics and Cosmology
E. Sanchez - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
V. Scarpine - Fermi National Accelerator Laboratory
M. Schubnell - University of Michigan–Ann Arbor
S. Serrano - Institut d'Estudis Espacials de Catalunya
I. Sevilla-Noarbe - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
E. Suchyta - Oak Ridge National Laboratory
G. Tarle - University of Michigan–Ann Arbor
D. Thomas - University of Houston
C. To - Stanford University
T. N. Varga - Max Planck Institute for Extraterrestrial Physics
Publication Details: Monthly notices of the Royal Astronomical Society, Vol.514(4), pp.5159-5177
Publisher: Oxford University Press
Date published: 07/07/2022
Grants: 240672, European Research Council (Belgium, Brussels) - ERC
291329, European Research Council (Belgium, Brussels) - ERC
306478, European Research Council (Belgium, Brussels) - ERC
CNPq grant, 465376/2014-2, Institutos Nacionais de Ciência e Tecnologia (Brazil, Brasília) - INCT
Grant note: Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This work was completed in part with Midway resources provided by the University of Chicago’s Research Computing Center. This work makes use of data acquired at the Anglo-Australian Telescope, under program A/2013B/012. We acknowledge the traditional owners of the land on which the AAT stands, the Gamilaraay people, and pay our respects to elders past and present. MS is funded by the European Reearch Council (ERC) under the European Union’s Horizon 2020 Research and Innovation program (grant agreement no 759194 - USNAC). LG acknowledges financial support from the Spanish Ministerio de Ciencia e Innovación (MCIN), the Agencia Estatal de Investigación (AEI) 10.13039/501100011033, and the European Social Fund (ESF) ‘Investing in your future under the 2019 Ramón y Cajal program RYC2019-027683-I and the PID2020-115253GA-I00 HOSTFLOWS project, and from Centro Superior de Investigaciones Científicas (CSIC) under the PIE project 20215AT016. LK thanks the UKRI Future Leaders Fellowship for support through the grant MR/T01881X/1.
Identifiers: 99783707002346
Academic Unit: School of Maths and Physics; FEPS Central Faculty Admin
Language: English
Resource Type: Journal article

The dark energy survey 5-yr photometrically identified type Ia supernovae

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