The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

M. Vincenzi; M. Sullivan; O. Graur; D. Brout; T. M. Davis; C. Frohmaier; L. Galbany; C. P. Gutierrez; S. R. Hinton; R. Hounsell; L. Kelsey; R. Kessler; E. Kovacs; S. Kuhlmann; J. Lasker; C. Lidman; A. Moller; R. C. Nichol; M. Sako; D. Scolnic; M. Smith; E. Swann; P. Wiseman; J. Asorey; G. F. Lewis; R. Sharp; B. E. Tucker; M. Aguena; S. Allam; S. Avila; E. Bertin; D. Brooks; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; A. Choi; M. Costanzi; L. N. da Costa; M. E. S. Pereira; J. De Vicente; S. Desai; H. T. Diehl; P. Doel; S. Everett; Ferrero; P. Fosalba; J. Frieman; J. Garcia-Bellido; E. Gaztanaga; D. W. Gerdes; D. Gruen; R. A. Gruendl; G. Gutierrez; D. L. Hollowood; K. Honscheid; B. Hoyle; D. J. James; K. Kuehn; N. Kuropatkin; M. A. G. Maia; P. Martini; F. Menanteau; R. Miquel; R. Morgan; A. Palmese; F. Paz-Chinchon; A. A. Plazas; A. K. Romer; E. Sanchez; Scarpine; S. Serrano; Sevilla-Noarbe; M. Soares-Santos; E. Suchyta; G. Tarle; D. Thomas; C. To; T. N. Varga; A. R. Walker; R. D. Wilkinson; DES Collaboration

doi:10.1093/mnras/stab1353

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The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

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The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

M. Vincenzi, M. Sullivan, O. Graur, D. Brout, T. M. Davis, C. Frohmaier, L. Galbany, C. P. Gutierrez, S. R. Hinton, R. Hounsell, …

Monthly notices of the Royal Astronomical Society, Vol.505(2), pp.2819-2839

01/08/2021

DOI: https://doi.org/10.1093/mnras/stab1353

Abstract

Astronomy & Astrophysics

Science & Technology

Physical Sciences

The analysis of current and future cosmological surveys of Type Ia supernovae (SNe Ia) at high redshift depends on the accurate photometric classification of the SN events detected. Generating realistic simulations of photometric SN surveys constitutes an essential step for training and testing photometric classification algorithms, and for correcting biases introduced by selection effects and contamination arising from core-collapse SNe in the photometric SN Ia samples. We use published SN time-series spectrophotometric templates, rates, luminosity functions, and empirical relationships between SNe and their host galaxies to construct a framework for simulating photometric SN surveys. We present this framework in the context of the Dark Energy Survey (DES) 5-yr photometric SN sample, comparing our simulations of DES with the observed DES transient populations. We demonstrate excellent agreement in many distributions, including Hubble residuals, between our simulations and data. We estimate the core collapse fraction expected in the DES SN sample after selection requirements are applied and before photometric classification. After testing different modelling choices and astrophysical assumptions underlying our simulation, we find that the predicted contamination varies from 7.2 to 11.7 per cent, with an average of 8.8 per cent and an r.m.s. of 1.1 per cent. Our simulations are the first to reproduce the observed photometric SN and host galaxy properties in high-redshift surveys without fine-tuning the input parameters. The simulation methods presented here will be a critical component of the cosmology analysis of the DES photometric SN Ia sample: correcting for biases arising from contamination, and evaluating the associated systematic uncertainty.

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Title: The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination
Creators: M. Vincenzi - University of Portsmouth
M. Sullivan - University of Southampton
O. Graur - University of Portsmouth
D. Brout - Center for Astrophysics Harvard & Smithsonian
T. M. Davis - University of Queensland
C. Frohmaier - University of Portsmouth
L. Galbany - University of Pittsburgh
C. P. Gutierrez - University of Southampton
S. R. Hinton - University of Queensland
R. Hounsell - University of Maryland, Baltimore County
L. Kelsey - University of Southampton
R. Kessler - University of Chicago
E. Kovacs - Argonne National Laboratory
S. Kuhlmann - Argonne National Laboratory
J. Lasker - University of Chicago
C. Lidman - Australian National University
A. Moller - Clermont Université
R. C. Nichol - University of Portsmouth
M. Sako - University of Pennsylvania
D. Scolnic - Duke University
M. Smith - University of Southampton
E. Swann - University of Portsmouth
P. Wiseman - University of Southampton
J. Asorey - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
G. F. Lewis - University of Sydney
R. Sharp - Australian National University
B. E. Tucker - Australian National University
M. Aguena - Laboratório Interinstitucional de e-Astronomia
S. Allam - Fermi National Accelerator Laboratory
S. Avila - Autonomous University of Madrid
E. Bertin - Institut d'Astrophysique de Paris
D. Brooks - University College London
D. L. Burke - SLAC National Accelerator Laboratory
A. Carnero Rosell - Inst Astrofis Canarias, E-38205 Tenerife, Spain
M. Carrasco Kind - Univ Illinois, Dept Astron, 1002 W Green St, Urbana, IL 61801 USA
J. Carretero - Institute for High Energy Physics
F. J. Castander - Institute of Space Sciences
A. Choi - The Ohio State University
M. Costanzi - Trieste Astronomical Observatory
L. N. da Costa - Laboratório Interinstitucional de e-Astronomia
M. E. S. Pereira - University of Michigan–Ann Arbor
J. De Vicente - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
S. Desai - Indian Institute of Technology Hyderabad
H. T. Diehl - Fermi National Accelerator Laboratory
P. Doel - University College London
S. Everett - Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA
Ferrero - University of Oslo
P. Fosalba - Institute of Space Sciences
J. Frieman - University of Chicago
J. Garcia-Bellido - Autonomous University of Madrid
E. Gaztanaga - Institute of Space Sciences
D. W. Gerdes - University of Michigan–Ann Arbor
D. Gruen - Kavli Institute for Particle Astrophysics and Cosmology
R. A. Gruendl - University of Illinois Urbana-Champaign
G. Gutierrez - Fermi National Accelerator Laboratory
D. L. Hollowood - Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA
K. Honscheid - The Ohio State University
B. Hoyle - Ludwig-Maximilians-Universität München
D. J. James - Center for Astrophysics Harvard & Smithsonian
K. Kuehn - Australian Astronomical Observatory
N. Kuropatkin - Fermi National Accelerator Laboratory
M. A. G. Maia - Laboratório Interinstitucional de e-Astronomia
P. Martini - The Ohio State University
F. Menanteau - National Center for Supercomputing Applications
R. Miquel - Institute for High Energy Physics
R. Morgan - University of Wisconsin–Madison
A. Palmese - Fermi National Accelerator Laboratory
F. Paz-Chinchon - University of Cambridge
A. A. Plazas - Princeton University
A. K. Romer - University of Sussex
E. Sanchez - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
Scarpine - Fermi National Accelerator Laboratory
S. Serrano - Institute of Space Sciences
Sevilla-Noarbe - Ctr Invest Energet Medioambientales & Tecnol CIEM, Madrid 28040, Spain
M. Soares-Santos - University of Michigan–Ann Arbor
E. Suchyta - Oak Ridge National Laboratory
G. Tarle - University of Michigan–Ann Arbor
D. Thomas - University of Portsmouth
C. To - Kavli Institute for Particle Astrophysics and Cosmology
T. N. Varga - Max Planck Institute for Extraterrestrial Physics
A. R. Walker - Cerro Tololo Inter-American Observatory
R. D. Wilkinson - University of Sussex
DES Collaboration
Publication Details: Monthly notices of the Royal Astronomical Society, Vol.505(2), pp.2819-2839
Publisher: Oxford Univ Press
Number of pages: 21
Date published: 01/08/2021
Grant note: A/2013B/012 / AAT U.S. Department of Energy; United States Department of Energy (DOE) Fundacao Carlos Chagas Filho de Amparo `a Pesquisa do Estado do Rio de Janeiro; Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ) ST/P006760/1 / Science and Technology Facilities Council through the DISCnet Centre for Doctoral Training Kavli Institute of Cosmological Physics at the University of Chicago 615929 / EU/FP7ERC grant; European Research Council (ERC) Ministry of Science and Education of Spain; Spanish Government Collaborating Institutions in the Dark Energy Survey ST/R000506/1 / STFC; UK Research & Innovation (UKRI); Science & Technology Facilities Council (STFC) 80GSFC17M0002; NNH15ZDA001N-WFIRST / NASA; National Aeronautics & Space Administration (NASA) DE-AC02-07CH11359 / Fermi Research Alliance, LLC Deutsche Forschungsgemeinschaft; German Research Foundation (DFG) PGC2018-095317B-C21 / European Funds for Regional Development (FEDER); European Union (EU) U.S. National Science Foundation; National Science Foundation (NSF) AST-1138766; AST-1536171 / National Science Foundation; National Science Foundation (NSF) 839090; ESP2017-89838; PGC2018-094773; PGC2018-102021; SEV-2016-0588; SEV-20160597; MDM-2015-0509 / European Union; European Union (EU) Office of Science, Office of High Energy Physics DE-FOA0001781 / DOE; United States Department of Energy (DOE) Financiadora de Estudos e Projetos; Financiadora de Inovacao e Pesquisa (Finep) FP7/2007-2013 / European Research Council under the European Union's Seventh Framework Program; European Research Council (ERC) Center for Cosmology and Astro-Particle Physics at the Ohio State University; Ohio State University Higher Education Funding Council for England; UK Research & Innovation (UKRI); Higher Education Funding Council for England (HEFCE) 240672; 291329; 306478 / ERC; European Research Council (ERC) Science and Technology Facilities Council of the United Kingdom; UK Research & Innovation (UKRI); Science & Technology Facilities Council (STFC) Conselho Nacional de Desenvolvimento Cientifico e Tecnologico and the Ministerio da Ciencia, Tecnologia e Inovacao Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University 465376/2014-2 / Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) do e-Universo (CNPq); Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ); Fundacao de Apoio a Pesquisa do Distrito Federal (FAPDF)
Identifiers: 99820329102346
Academic Unit: FEPS Central Faculty Admin
Language: English
Resource Type: Journal article

The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

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