TY - JOUR
T1 - The Dark Energy Survey
T2 - Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset
AU - DES Collaboration
AU - Collaboration, The Dark Energy Survey
AU - Abbott, T. M. C.
AU - Acevedo, M.
AU - Aguena, M.
AU - Alarcon, A.
AU - Allam, S.
AU - Alves, O.
AU - Amon, A.
AU - Andrade-Oliveira, F.
AU - Annis, J.
AU - Armstrong, P.
AU - Asorey, J.
AU - Avila, S.
AU - Bacon, D.
AU - Bassett, B.
AU - Bechtol, K.
AU - Bernardinelli, P. H.
AU - Bernstein, G. M.
AU - Bertin, E.
AU - Blazek, J.
AU - Bocquet, S.
AU - Brooks, D.
AU - Brout, D.
AU - Buckley-Geer, E.
AU - Burke, D. L.
AU - Camacho, H.
AU - Camilleri, R.
AU - Campos, A.
AU - Rosell, A. Carnero
AU - Carollo, D.
AU - Carr, A.
AU - Carretero, J.
AU - Castander, F. J.
AU - Cawthon, R.
AU - Chang, C.
AU - Chen, R.
AU - Choi, A.
AU - Conselice, C.
AU - Costanzi, M.
AU - Costa, L. N. da
AU - Crocce, M.
AU - Frohmaier, C.
AU - Gaztanaga, E.
AU - Graur, O.
AU - Kelsey, L.
AU - Li, T. S.
AU - Nichol, R. C.
AU - Percival, W. J.
AU - Thomas, D.
AU - Vincenzi, M.
N1 - 22 pages, 12 figures; Submitted to ApJ; companion paper Vincenzi et al. on consecutive arxiv number
PY - 2024/10/1
Y1 - 2024/10/1
N2 - 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 (q0 < 0 in ΛCDM) with over 5σ confidence. We find (W= - )( ) - + - + M, 0.264 , 0.80 w 0.096 0.074 0.16 0.14 in flat wCDM. For flat w0waCDM, we find (W = -- )( ) - + - + - + M 0 , , 0.495 , 0.36 , 8.8 w wa 0.043 0.033 0.30 0.36 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.
AB - 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 (q0 < 0 in ΛCDM) with over 5σ confidence. We find (W= - )( ) - + - + M, 0.264 , 0.80 w 0.096 0.074 0.16 0.14 in flat wCDM. For flat w0waCDM, we find (W = -- )( ) - + - + - + M 0 , , 0.495 , 0.36 , 8.8 w wa 0.043 0.033 0.30 0.36 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.
KW - astro-ph.CO
KW - UKRI
KW - MRC
KW - MR/T01881X/1
KW - STFC
U2 - 10.3847/2041-8213/ad6f9f
DO - 10.3847/2041-8213/ad6f9f
M3 - Article
SN - 2041-8205
VL - 973
JO - Astrophysical Journal Letters
JF - Astrophysical Journal Letters
IS - 1
M1 - L14
ER -