The Dark Energy Survey: cosmology results with ~1500 new high-redshift type Ia supernovae using the full 5-year dataset
The Dark Energy Survey: cosmology results with ~1500 new high-redshift type Ia supernovae using the full 5-year dataset
We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contrast to most previous cosmological samples, in which SN 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 a SN Ia, we find 1635 DES SN in the redshift range $0.100.5$ 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 supernova data with a high-quality external low-redshift sample consisting of 194 SNe Ia spanning $0.025
astro-ph.CO
Frohmaier, C.
e752dabb-bbdc-430d-ac86-861ea58d0e1b
Kelsey, L.
e468815b-9246-4e0f-a6d5-b037765590e4
Smith, M.
8bdc74e1-a37b-434d-ae75-82763109bf7a
Sullivan, M.
2f31f9fa-8e79-4b35-98e2-0cb38f503850
Toy, M.
5ef48181-2bd7-4207-9215-9764f4184aba
Vincenzi, M.
a15a3563-56f2-4692-b192-36b745e67d0b
Wiseman, P.
865f95f8-2200-46a8-bd5e-3ee30bb44072
5 January 2024
Frohmaier, C.
e752dabb-bbdc-430d-ac86-861ea58d0e1b
Kelsey, L.
e468815b-9246-4e0f-a6d5-b037765590e4
Smith, M.
8bdc74e1-a37b-434d-ae75-82763109bf7a
Sullivan, M.
2f31f9fa-8e79-4b35-98e2-0cb38f503850
Toy, M.
5ef48181-2bd7-4207-9215-9764f4184aba
Vincenzi, M.
a15a3563-56f2-4692-b192-36b745e67d0b
Wiseman, P.
865f95f8-2200-46a8-bd5e-3ee30bb44072
[Unknown type: UNSPECIFIED]
Abstract
We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contrast to most previous cosmological samples, in which SN 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 a SN Ia, we find 1635 DES SN in the redshift range $0.100.5$ 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 supernova data with a high-quality external low-redshift sample consisting of 194 SNe Ia spanning $0.025
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2401.02929v2
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2401.02929v3
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Accepted/In Press date: 5 January 2024
e-pub ahead of print date: 5 January 2024
Published date: 5 January 2024
Additional Information:
22 pages, 12 figures; Accepted by ApJL 29 March 2024; v3 updates to accepted version and includes links to data
Keywords:
astro-ph.CO
Identifiers
Local EPrints ID: 487416
URI: http://eprints.soton.ac.uk/id/eprint/487416
PURE UUID: 0e04cd4f-690e-4ead-adca-79a676f9d667
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Date deposited: 20 Feb 2024 12:47
Last modified: 16 Nov 2024 03:00
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Contributors
Author:
L. Kelsey
Author:
M. Toy
Corporate Author: DES Collaboration
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