Back to Search Start Over

First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation

Authors :
Samuel Hinton
Antonella Palmese
K. Kuehn
G. Gutierrez
Vinu Vikram
M. A. G. Maia
Bonnie Zhang
Daniel B. Thomas
Felipe Menanteau
R. G. Sharp
Marcos Lima
B. Flaugher
Daniel Muthukrishna
Geraint F. Lewis
Alexei V. Filippenko
M. N. K. Smith
Alex Drlica-Wagner
P. Challis
J. Calcino
David J. James
Jacobo Asorey
R. C. Smith
A. G. Kim
A. Clocchiatti
A. Roodman
P. Fosalba
K. Honscheid
T. Jeltema
Michael Schubnell
C. B. D'Andrea
S. E. Kuhlmann
V. Scarpine
Daniel Scolnic
Per Kragh Andersen
Karl Glazebrook
Josh Frieman
E. S. Rykoff
J. Annis
P. E. Nugent
W. C. Wester
P. Martini
Douglas L. Tucker
Y.-H. Zhang
Lluís Galbany
David J. Brooks
Kaisey S. Mandel
Ben Hoyle
Carlos E. Cunha
Edward Macaulay
Vivian Miranda
Bruce A. Bassett
Elisabeth Krause
R. P. Kirshner
G. Tarle
Ryan J. Foley
Jennifer L. Marshall
C. L. Davis
O. Lahav
A. Carnero Rosell
S. Desai
E. Kasai
Ramon Miquel
D. J. Brout
Tianjun Li
D. L. Burke
J. Carretero
Daniel Gruen
H. T. Diehl
Tamara M. Davis
J. P. Marriner
Darren L. DePoy
Matt J. Jarvis
R. R. Gupta
Juan Garcia-Bellido
T. F. Eifler
W. G. Hartley
F. J. Castander
S. Allam
Robert A. Gruendl
A. A. Plazas
Daniela Carollo
T. M. C. Abbott
Gary Bernstein
E. Morganson
Arturo Avelino
E. Suchyta
N. E. Sommer
B. E. Tucker
Enrique J. Fernández
E. J. Sanchez
C. Lidman
P. Doel
M. Sako
C. J. Miller
E. Swann
D. L. Hollowood
S. Serrano
M. E. C. Swanson
M. J. Childress
Richard Kessler
Anais Möller
E. Bertin
Troxel
I. Sevilla-Noarbe
L. N. da Costa
Flavia Sobreira
Salcedo Romero de Ávila
Juan Estrada
Alistair R. Walker
R. C. Thomas
Marcelle Soares-Santos
M. March
Basilio X. Santiago
Mark Sullivan
J. De Vicente
M. Carrasco Kind
Robert C. Nichol
S. A. Uddin
J. Lasker
R. L. C. Ogando
Keith Bechtol
J. K. Hoormann
A. K. Romer
Peter Brown
Yen-Chen Pan
Source :
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP, Dark Energy Survey Collaboration, D'Andrea, C B, Macaulay, E, Nichol, R C, Swann, E, Avila, S & Thomas, D 2019, ' First cosmology results using SNe Ia from the Dark Energy Survey : analysis, systematic uncertainties, and validation ', The Astrophysical Journal, vol. 874, no. 2, 150 . https://doi.org/10.3847/1538-4357/ab08a0, Brout, D; Scolnic, D; Kessler, R; D’Andrea, CB; Davis, TM; Gupta, RR; et al.(2019). First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation. The Astrophysical Journal, 874(2), 150-150. doi: 10.3847/1538-4357/ab08a0. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0f29389p
Publication Year :
2019

Abstract

© 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.

Details

ISSN :
0004637X
Database :
OpenAIRE
Journal :
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP, Dark Energy Survey Collaboration, D'Andrea, C B, Macaulay, E, Nichol, R C, Swann, E, Avila, S & Thomas, D 2019, ' First cosmology results using SNe Ia from the Dark Energy Survey : analysis, systematic uncertainties, and validation ', The Astrophysical Journal, vol. 874, no. 2, 150 . https://doi.org/10.3847/1538-4357/ab08a0, Brout, D; Scolnic, D; Kessler, R; D’Andrea, CB; Davis, TM; Gupta, RR; et al.(2019). First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation. The Astrophysical Journal, 874(2), 150-150. doi: 10.3847/1538-4357/ab08a0. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0f29389p
Accession number :
edsair.doi.dedup.....2d7767a27268b7634ce9decd9b401121