| Title: |
First cosmology results using supernovae ia from the dark energy survey: Survey overview, performance, and supernova spectroscopy |
| Authors: |
Australian Astronomical Observatory; Comisión Nacional de Investigación Científica y Tecnológica (Chile); University of California; National Aeronautics and Space Administration (US); W. M. Keck Foundation; Smithsonian Institution; University of Arizona; South African Astronomical Observatory; European Commission; Google; University of Southampton; Department of Energy (US); National Science Foundation (US); National Energy Research Scientific Computing Center (US); Gordon and Betty Moore Foundation; Heising Simons Foundation; David and Lucile Packard Foundation; Agencia Nacional de Investigación y Desarrollo (Chile); Ministerio de Educación y Ciencia (España); Science and Technology Facilities Council (UK); Higher Education Funding Council for England; University of Illinois; University of Chicago; The Ohio State University; Texas A&M University; Financiadora de Estudos e Projetos (Brasil); Ministério da Ciência, Tecnologia e Inovação (Brasil); Deutsches Krebsforschungszentrum; University of Cambridge; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (España); University College London; University of Edinburgh; CSIC - Instituto de Ciencias del Espacio (ICE); Ministerio de Ciencia e Innovación (España); University of Pennsylvania; University of Portsmouth; Stanford University; University of Sussex; Smith, Mathew; Castander, Francisco J.; Casas, Ricard; Gaztañaga, Enrique; Serrano, Santiago; Wester, W.; Dark Energy Sruvey Collaboration |
| Publisher Information: |
IOP Publishing 2020-11-18 |
| Document Type: |
Electronic Resource |
| Abstract: |
We present details on the observing strategy, data-processing techniques, and spectroscopic targeting algorithms for the first three years of operation for the Dark Energy Survey Supernova Program (DES-SN). This five-year program using the Dark Energy Camera mounted on the 4 m Blanco telescope in Chile was designed to discover and follow supernovae (SNe) Ia over a wide redshift range (0.05 < z < 1.2) to measure the equation-of-state parameter of dark energy. We describe the SN program in full: Strategy, observations, data reduction, spectroscopic follow-up observations, and classification. From three seasons of data, we have discovered 12,015 likely SNe, 308 of which have been spectroscopically confirmed, including 251 SNe Ia over a redshift range of 0.017 < z < 0.85. We determine the effective spectroscopic selection function for our sample and use it to investigate the redshiftdependent bias on the distance moduli of SNe Ia we have classified. The data presented here are used for the first cosmology analysis by DES-SN ("DES-SN3YR"), the results of which are given in Dark Energy Survey Collaboration et al. The 489 spectra that are used to define the DES-SN3YR sample are publicly available at https://des.ncsa.illinois.edu/releases/sn. |
| Index Terms: |
Type Ia supernovae; Supernovae; Cosmology; Cosmological parameters; Observational cosmology; Sky surveys; artículo |
| URL: |
http://hdl.handle.net/10261/230521; http://doi.org/10.3847/1538-3881/abc01b; http://doi.org/10.3847/1538-3881/abc01b; Sí; MICIN/ICTI2017-2020/ESP2017-89838; MICIN/ICTI2017-2020/PGC2018-094773; MICIN/ICTI2017-2020/PGC2018-102021; info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2016-0588; info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2016-0597; info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2015-0509; info:eu-repo/grantAgreement/EC/H2020/759194; info:eu-repo/grantAgreement/EC/H2020/839090; info:eu-repo/grantAgreement/EC/FP7/240672; info:eu-repo/grantAgreement/EC/FP7/291329; info:eu-repo/grantAgreement/EC/FP7/306478; info:eu-repo/grantAgreement/EC/FP7/615929 |
| Availability: |
Open access content. Open access content; closedAccess |
| Other Numbers: |
CTK oai:digital.csic.es:10261/230521; Astronomical Journal 160: 267 (2020); 10.3847/1538-3881/abc01b; 1286563908 |
| Contributing Source: |
CSIC; From OAIster®, provided by the OCLC Cooperative. |
| Accession Number: |
edsoai.on1286563908 |
| Database: |
OAIster |