The Dark Energy Survey: Cosmology Results With 1500 New High-redshift
Type Ia Supernovae Using The Full 5-year Dataset
DES Collaboration,T. M. C. Abbott,M. Acevedo,M. Aguena,A. Alarcon,S. Allam,O. Alves,A. Amon,F. Andrade-Oliveira,J. Annis,P. Armstrong,J. Asorey,S. Avila,D. Bacon,B. A. Bassett,K. Bechtol,P. H. Bernardinelli,G. M. Bernstein,E. Bertin,J. Blazek,S. Bocquet,D. Brooks,D. Brout,E. Buckley-Geer,D. L. Burke,H. Camacho,R. Camilleri,A. Campos,A. Carnero Rosell,D. Carollo,A. Carr,J. Carretero,F. J. Castander,R. Cawthon,C. Chang,R. Chen,A. Choi,C. Conselice,M. Costanzi,L. N. da Costa,M. Crocce,T. M. Davis,D. L. DePoy,S. Desai,H. T. Diehl,M. Dixon,S. Dodelson,P. Doel,C. Doux,A. Drlica-Wagner,J. Elvin-Poole,S. Everett,I. Ferrero,A. Ferté,B. Flaugher,R. J. Foley,P. Fosalba,D. Friedel,J. Frieman,C. Frohmaier,L. Galbany,J. García-Bellido,M. Gatti,E. Gaztanaga,G. Giannini,K. Glazebrook,O. Graur,D. Gruen,R. A. Gruendl,G. Gutierrez,W. G. Hartley,K. Herner,S. R. Hinton,D. L. Hollowood,K. Honscheid,D. Huterer,B. Jain,D. J. James,N. Jeffrey,L. Kelsey,S. Kent,R. Kessler,A. G. Kim,R. P. Kirshner,E. Kovacs,K. Kuehn,O. Lahav,J. Lee,S. Lee,G. F. Lewis,T. S. Li,C. Lidman,H. Lin,J. L. Marshall,P. Martini,J. Mena-Fernández,F. Menanteau,R. Miquel,J. J. Mohr,J. Mould,J. Muir,A. Möller,E. Neilsen,R. C. Nichol,P. Nugent,R. L. C. Ogando,A. Palmese,Y. -C. Pan,M. Paterno,W. J. Percival,M. E. S. Pereira,A. Pieres,A. A. Plazas Malagón,B. Popovic,A. Porredon,J. Prat,H. Qu,M. Raveri,M. Rodríguez-Monroy,A. K. Romer,A. Roodman,B. Rose,M. Sako,E. Sanchez,D. Sanchez Cid,M. Schubnell,D. Scolnic,I. Sevilla-Noarbe,P. Shah,J. Allyn. Smith,M. Smith,M. Soares-Santos,E. Suchyta,M. Sullivan,N. Suntzeff,M. E. C. Swanson,B. O. Sánchez,G. Tarle,G. Taylor,D. Thomas,C. To,M. Toy,M. A. Troxel,B. E. Tucker,D. L. Tucker,S. A. Uddin,M. Vincenzi,A. R. Walker,N. Weaverdyck,R. H. Wechsler,J. Weller,W. Wester,P. Wiseman,M. Yamamoto,F. Yuan,B. Zhang,Y. Zhang
arxiv（2024）
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摘要
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更多
