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Title: First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation [First Cosmology Results Using Type IA Supernovae from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation]

Journal Article · · The Astrophysical Journal (Online)
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© 2019. The American Astronomical Society. All rights reserved.. We present the analysis underpinning the measurement of cosmological parameters from 207 spectroscopically classified SNe Ia from the first 3 years of the Dark Energy Survey Supernova Program (DES-SN), spanning a redshift range of 0.017 < z < 0.849. We combine the DES-SN sample with an external sample of 122 low-redshift (z < 0.1) SNe Ia, resulting in a "DES-SN3YR" sample of 329 SNe Ia. Our cosmological analyses are blinded: after combining our DES-SN3YR distances with constraints from the Cosmic Microwave Background, our uncertainties in the measurement of the dark energy equation-of-state parameter, w, are 0.042 (stat) and 0.059 (stat+syst) at 68% confidence. We provide a detailed systematic uncertainty budget, which has nearly equal contributions from photometric calibration, astrophysical bias corrections, and instrumental bias corrections. We also include several new sources of systematic uncertainty. While our sample is less than one-third the size of the Pantheon sample, our constraints on w are only larger by 1.4×, showing the impact of the DES-SN Ia light-curve quality. We find that the traditional stretch and color standardization parameters of the DES-SNe Ia are in agreement with earlier SN Ia samples such as Pan-STARRS1 and the Supernova Legacy Survey. However, we find smaller intrinsic scatter about the Hubble diagram (0.077 mag). Interestingly, we find no evidence for a Hubble residual step (0.007 ± 0.018 mag) as a function of host-galaxy mass for the DES subset, in 2.4σ tension with previous measurements. We also present novel validation methods of our sample using simulated SNe Ia inserted in DECam images and using large catalog-level simulations to test for biases in our analysis pipelines.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
AC02-07CH11359; SC0019193; AC02-05CH11231; AC02-76SF00515; AC05-00OR22725
OSTI ID:
1487398
Alternate ID(s):
OSTI ID: 1526592; OSTI ID: 1527092; OSTI ID: 1531226; OSTI ID: 1727377
Report Number(s):
arXiv:1811.02377; FERMILAB-PUB-18-541-AE; 1702374
Journal Information:
The Astrophysical Journal (Online), Vol. 874, Issue 2; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 52 works
Citation information provided by
Web of Science

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Review of Particle Physics text January 2012
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Determining the Type, Redshift, and Age of a Supernova Spectrum text January 2007
The Sloan Digital Sky Survey-II: Photometry and Supernova Ia Light Curves from the 2005 data text January 2009
The Carnegie Supernova Project: First Photometry Data Release of Low-Redshift Type Ia Supernovae text January 2009
Hubble Residuals of Nearby Type Ia Supernovae Are Correlated with Host Galaxy Masses text January 2009
Real-time Analysis and Selection Biases in the Supernova Legacy Survey text January 2010
SNLS3: Constraints on Dark Energy Combining the Supernova Legacy Survey Three Year Data with Other Probes text January 2011
Improved Constraints on Type Ia Supernova Host Galaxy Properties using Multi-Wavelength Photometry and their Correlations with Supernova Properties text January 2011
Spectroscopic Properties of Star-Forming Host Galaxies and Type Ia Supernova Hubble Residuals in a Nearly Unbiased Sample text January 2011
Supernova Simulations and Strategies For the Dark Energy Survey text January 2011
CfA4: Light Curves for 94 Type Ia Supernovae text January 2012
Host Galaxies of Type Ia Supernovae from the Nearby Supernova Factory text January 2013
Systematic Uncertainties Associated with the Cosmological Analysis of the First Pan-STARRS1 Type Ia Supernova Sample text January 2013
The Data Release of the Sloan Digital Sky Survey-II Supernova Survey text January 2014
Ages of Type Ia Supernovae Over Cosmic Time text January 2014
Planck 2015 results. XIII. Cosmological parameters text January 2015
Local gravitational redshifts can bias cosmological measurements text January 2015
Automated Transient Identification in the Dark Energy Survey text January 2015
UNITY: Confronting Supernova Cosmology's Statistical and Systematic Uncertainties in a Unified Bayesian Framework text January 2015
SDSS-II Supernova Survey: An Analysis of the Largest Sample of Type Ia Supernovae and Correlations with Host-Galaxy Spectral Properties text January 2016
The need for accurate redshifts in supernova cosmology text January 2016
Forward Global Photometric Calibration of the Dark Energy Survey text January 2017
The Foundation Supernova Survey: Motivation, Design, Implementation, and First Data Release text January 2017
Photometric redshifts from evolutionary synthesis with PEGASE: the code ZPEG and the z=0 age constraint text January 2002
Cosmological parameters from CMB and other data: a Monte-Carlo approach text January 2002
Stellar population synthesis at the resolution of 2003 text January 2003
Observational Constraints on the Nature of the Dark Energy: First Cosmological Results from the ESSENCE Supernova Survey text January 2007
Correcting for the Effects of Interstellar Extinction text January 1998

Cited By (16)

Observational properties of thermonuclear supernovae journal August 2019
Constraints on H 0 from WMAP and BAO Measurements journal July 2019
Strong gravitational lensing of explosive transients journal November 2019
Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) journal July 2019
Significant luminosity differences of two twin Type Ia supernovae journal November 2019
First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant journal April 2019
An accelerating cosmological model from a parametrization of Hubble parameter journal October 2019
Steve: A Hierarchical Bayesian Model for Supernova Cosmology journal April 2019
Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared journal December 2019
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope journal August 2019
Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared text January 2019
Models and simulations for the photometric lsst astronomical time series classification challenge (Plasticc) text January 2019
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope text January 2018
Type Ia Supernovae are Excellent Standard Candles in the Near-Infrared text January 2019
Strong gravitational lensing of explosive transients text January 2019
An Accelerating Cosmological Model from a Parametrization of Hubble Parameter text January 2019

Linked Research (1)

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