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The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

M. VincenziDillon BroutP. ArmstrongB. PopovicIP2I Lyon - Institut de Physique des 2 Infinis de Lyon (Campus LyonTech-la Doua Bâtiment Paul DIRAC 4 Rue Enrico Fermi 69622 Villeurbanne Cedex - France)Gail TaylorM. AcevedoR. CamilleriR ChenT. M. DavisJ LeeC. LidmanS. R. HintonL KelseyR. KesslerA. MöllerHelen QuM. SakoB. SánchezCPPM - Centre de Physique des Particules de Marseille (163, avenue de Luminy - Case 902 - 13288 Marseille cedex 09 - France)D. ScolnicM. SmithM. SullivanP. WisemanJ. AsoreyBruce A. BassettD. CarolloAnthony CarrR. J. FoleyC. FrohmaierL. GalbanyKarl GlazebrookOr GraurE. KovacsK. KuehnU MalikR. C. NicholBenjamin RoseB. TuckerM. ToyD. L. TuckerF. YuanT. M. C. AbbottM. AguenaO. AlvesS. AllamF. Andrade-OliveiraJ. AnnisD. BaconK. BechtolG. M. BernsteinDavid BrooksD. L. BurkeA. Carnero RosellJ. CarreteroF. J. CastanderC. ConseliceL. N. da CostaM. E. S. PereiraS. DesaiH. T. DiehlPeter DoelI. FerreroB. FlaugherD. N. FriedelJ. FriemanJ. García-BellidoM. GattiG. GianniniD. GruenR. A. GruendlD.L HollowoodK. HonscheidDragan HutererD. J. JamesN. KuropatkinO. LahavS. LeeH. LinJ. L. MarshallJ. Mena-FernándezLPSC - Laboratoire de Physique Subatomique et de Cosmologie (53 avenue des Martyrs - 38026 Grenoble Cedex - France)F. MenanteauR. MiquelA. PalmeseA. PieresA. A. Plazas MalagónA. PorredonKathy RomerA. RoodmanE. SánchezD. Sanchez CidM. SchubnellI Sevilla-NoarbeE. SuchytaM. E. C. SwansonG. TarléC. ToA. R. WalkerN. WeaverdyckM. Yamamoto
2024en
ABI

Аннотация

Abstract We present the full Hubble diagram of photometrically classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts of 7000 host galaxies. Based on the light-curve quality, we select 1635 photometrically identified SNe Ia with spectroscopic redshift 0.10 &lt; z &lt; 1.13, which is the largest sample of supernovae from any single survey and increases the number of known z &gt; 0.5 supernovae by a factor of 5. In a companion paper, we present cosmological results of the DES-SN sample combined with 194 spectroscopically classified SNe Ia at low redshift as an anchor for cosmological fits. Here we present extensive modeling of this combined sample and validate the entire analysis pipeline used to derive distances. We show that the statistical and systematic uncertainties on cosmological parameters are <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msubsup> <mml:mrow> <mml:mi>σ</mml:mi> </mml:mrow> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant="normal">Ω</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> </mml:msub> <mml:mo>,</mml:mo> <mml:mi>stat</mml:mi> <mml:mo>+</mml:mo> <mml:mi>sys</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">Λ</mml:mi> <mml:mi>CDM</mml:mi> </mml:mrow> </mml:msubsup> <mml:mo>=</mml:mo> </mml:math> 0.017 in a flat ΛCDM model, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mo stretchy="false">(</mml:mo> <mml:msub> <mml:mrow> <mml:mi>σ</mml:mi> </mml:mrow> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant="normal">Ω</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mrow> <mml:mi>σ</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>w</mml:mi> </mml:mrow> </mml:msub> <mml:msubsup> <mml:mrow> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> <mml:mrow> <mml:mi>stat</mml:mi> <mml:mo>+</mml:mo> <mml:mi>sys</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>w</mml:mi> <mml:mi>CDM</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> = (0.082, 0.152) in a flat w CDM model. Combining the DES SN data with the highly complementary cosmic microwave background measurements by Planck Collaboration reduces by a factor of 4 uncertainties on cosmological parameters. In all cases, statistical uncertainties dominate over systematics. We show that uncertainties due to photometric classification make up less than 10% of the total systematic uncertainty budget. This result sets the stage for the next generation of SN cosmology surveys such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time.

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