| Title: |
First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy |
| Authors: |
Smith, M; D’Andrea, CB; Sullivan, M; Möller, A; Nichol, RC; Thomas, RC; Kim, AG; Sako, M; Castander, FJ; Filippenko, AV; Foley, RJ; Galbany, L; González-Gaitán, S; Kasai, E; Kirshner, RP; Lidman, C; Scolnic, D; Brout, D; Davis, TM; Gupta, RR; Hinton, SR; Kessler, R; Lasker, J; Macaulay, E; Wolf, RC; Zhang, B; Asorey, J; Avelino, A; Bassett, BA; Calcino, J; Carollo, D; Casas, R; Challis, P; Childress, M; Clocchiatti, A; Crawford, S; Frohmaier, C; Glazebrook, K; Goldstein, DA; Graham, ML; Hoormann, JK; Kuehn, K; Lewis, GF; Mandel, KS; Morganson, E; Muthukrishna, D; Nugent, P; Pan, Y-C; Pursiainen, M; Sharp, R; Sommer, NE; Swann, E; Thomas, BP; Tucker, BE; Uddin, SA; Wiseman, P; Zheng, W; Abbott, TMC; Annis, J; Avila, S; Bechtol, K; Bernstein, GM; Bertin, E; Brooks, D; Burke, DL; Rosell, A Carnero; Kind, M Carrasco; Carretero, J; Cunha, CE; da Costa, LN; Davis, C; De Vicente, J; Diehl, HT; Eifler, TF; Estrada, J; Frieman, J; García-Bellido, J; Gaztanaga, E; Gerdes, DW; Gruen, D; Gruendl, RA; Gschwend, J; Gutierrez, G; Hartley, WG; Hollowood, DL; Honscheid, K; Hoyle, B; James, DJ; Johnson, MWG; Johnson, MD; Kuropatkin, N; Li, TS; Lima, M; Maia, MAG; March, M; Marshall, JL; Martini, P; Menanteau, F; Miller, CJ; Miquel, R |
| Source: |
The Astronomical Journal, vol 160, iss 6 |
| Publisher Information: |
eScholarship, University of California |
| Publication Year: |
2020 |
| Collection: |
University of California: eScholarship |
| Subject Terms: |
5101 Astronomical Sciences (for-2020); 51 Physical Sciences (for-2020); 7 Affordable and Clean Energy (sdg); Type Ia supernovae; Supernovae; Cosmology; Cosmological parameters; Observational cosmology; Sky surveys; 0201 Astronomical and Space Sciences (for); Astronomy & Astrophysics (science-metrix); 5107 Particle and high energy physics (for-2020) |
| Description: |
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 redshift-dependent 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. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
unknown |
| Relation: |
qt8dn0h822; https://escholarship.org/uc/item/8dn0h822; https://escholarship.org/content/qt8dn0h822/qt8dn0h822.pdf |
| DOI: |
10.3847/1538-3881/abc01b |
| Availability: |
https://escholarship.org/uc/item/8dn0h822; https://escholarship.org/content/qt8dn0h822/qt8dn0h822.pdf; https://doi.org/10.3847/1538-3881/abc01b |
| Rights: |
public |
| Accession Number: |
edsbas.69B5FE44 |
| Database: |
BASE |