| Title: |
The Dark Energy Survey: Cosmology Results with ∼1500 New High-redshift Type Ia Supernovae Using the Full 5 yr Data Set |
| Authors: |
Abbott, DES Collaboration TMC; Acevedo, M; Aguena, M; Alarcon, A; Allam, S; Alves, O; Amon, A; Andrade-Oliveira, F; Annis, J; Armstrong, P; Asorey, J; Avila, S; Bacon, D; Bassett, BA; Bechtol, K; Bernardinelli, PH; Bernstein, GM; Bertin, E; Blazek, J; Bocquet, S; Brooks, D; Brout, D; Buckley-Geer, E; Burke, DL; Camacho, H; Camilleri, R; Campos, A; Rosell, A Carnero; Carollo, D; Carr, A; Carretero, J; Castander, FJ; Cawthon, R; Chang, C; Chen, R; Choi, A; Conselice, C; Costanzi, M; da Costa, LN; Crocce, M; Davis, TM; DePoy, DL; Desai, S; Diehl, HT; Dixon, M; Dodelson, S; Doel, P; Doux, C; Drlica-Wagner, A; Elvin-Poole, J; Everett, S; Ferrero, I; Ferté, A; Flaugher, B; Foley, RJ; Fosalba, P; Friedel, D; Frieman, J; Frohmaier, C; Galbany, L; García-Bellido, J; Gatti, M; Gaztanaga, E; Giannini, G; Glazebrook, K; Graur, O; Gruen, D; Gruendl, RA; Gutierrez, G; Hartley, WG; Herner, K; Hinton, SR; Hollowood, DL; Honscheid, K; Huterer, D; Jain, B; James, DJ; Jeffrey, N; Kasai, E; Kelsey, L; Kent, S; Kessler, R; Kim, AG; Kirshner, RP; Kovacs, E; Kuehn, K; Lahav, O; Lee, J; Lee, S; Lewis, GF; Li, TS; Lidman, C; Lin, H; Malik, U; Marshall, JL; Martini, P; Mena-Fernández, J; Menanteau, F; Miquel, R; Mohr, JJ |
| Source: |
The Astrophysical Journal Letters, vol 973, iss 1 |
| Publisher Information: |
eScholarship, University of California |
| Publication Year: |
2024 |
| Collection: |
University of California: eScholarship |
| Subject Terms: |
5107 Particle and High Energy Physics (for-2020); 51 Physical Sciences (for-2020); 0201 Astronomical and Space Sciences (for); Astronomy & Astrophysics (science-metrix); 5101 Astronomical sciences (for-2020); 5109 Space sciences (for-2020) |
| Description: |
We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during the full 5 yr of the Dark Energy Survey (DES) SN program. In contrast to most previous cosmological samples, in which SNe are classified based on their spectra, we classify the DES SNe using a machine learning algorithm applied to their light curves in four photometric bands. Spectroscopic redshifts are acquired from a dedicated follow-up survey of the host galaxies. After accounting for the likelihood of each SN being an SN Ia, we find 1635 DES SNe in the redshift range 0.10 < z < 1.13 that pass quality selection criteria sufficient to constrain cosmological parameters. This quintuples the number of high-quality z > 0.5 SNe compared to the previous leading compilation of Pantheon+ and results in the tightest cosmological constraints achieved by any SN data set to date. To derive cosmological constraints, we combine the DES SN data with a high-quality external low-redshift sample consisting of 194 SNe Ia spanning 0.025 < z < 0.10. Using SN data alone and including systematic uncertainties, we find ΩM = 0.352 ± 0.017 in flat ΛCDM. SN data alone now require acceleration (q 0 < 0 in ΛCDM) with over 5σ confidence. We find (ΩM,w)=(0.264−0.096+0.074,−0.80−0.16+0.14) in flat wCDM. For flat w 0 w a CDM, we find (ΩM,w0,wa)=(0.495−0.043+0.033,−0.36−0.30+0.36,−8.8−4.5+3.7) , consistent with a constant equation of state to within ∼2σ. Including Planck cosmic microwave background, Sloan Digital Sky Survey baryon acoustic oscillation, and DES 3 × 2pt data gives (ΩM, w) = (0.321 ± 0.007, −0.941 ± 0.026). In all cases, dark energy is consistent with a cosmological constant to within ∼2σ. Systematic errors on cosmological parameters are subdominant compared to statistical errors; these results thus pave the way for future photometrically classified SN analyses. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
unknown |
| Relation: |
qt498713kh; https://escholarship.org/uc/item/498713kh; https://escholarship.org/content/qt498713kh/qt498713kh.pdf |
| DOI: |
10.3847/2041-8213/ad6f9f |
| Availability: |
https://escholarship.org/uc/item/498713kh; https://escholarship.org/content/qt498713kh/qt498713kh.pdf; https://doi.org/10.3847/2041-8213/ad6f9f |
| Rights: |
CC-BY |
| Accession Number: |
edsbas.4E78A5B8 |
| Database: |
BASE |