DESI 2024: reconstructing dark energy using crossing statistics with DESI DR1 BAO data

Abstract We implement Crossing Statistics to reconstruct in a model-agnostic manner the expansion history of the universe and properties of dark energy, using DESI Data Release 1 (DR1) BAO data in combination with one of three different supernova compilations (PantheonPlus, Union3, and DES-SN5YR) and Planck CMB observations. Our results hint towards an evolving and emergent dark energy behaviour, with negligible presence of dark energy at z ≳ 1, at varying significance depending on data sets combined. In all these reconstructions, the cosmological constant lies outside the 95% confidence intervals for some redshift ranges. This dark energy behaviour, reconstructed using Crossing Statistics, is in agreement…

• NS
  National Science Foundation

  Awards: AST-0950945, DE-AC02-05CH11231, 0950945
• UD
  U.S. Department of Energy

  Awards: -AC02-05CH11231, 05CH11231, AC02-05CH11231, DE-AC02, DE-AC02-05CH11231, DE-AC02-
• GA
  Gordon and Betty Moore Foundation
• NR
  National Research Foundation
• KA
  Korea Astronomy and Space Science Institute
• NR
  National Research Foundation of Korea

  Award: 2021M3F7A1082056
• MD
  Ministerio de Ciencia e Innovación
• CÀ
  Commissariat à l'Énergie Atomique et aux Énergies Alternatives
• OO
  Office of Science

  Awards: AC02-05CH11231, -AC02-05CH11231, DE-AC02
• SA
  Science and Technology Facilities Council

  Award: ST/W001225/1
• DO
  Division of Astronomical Sciences

  Award: AST-0950945