DESI 2024: Reconstructing Dark Energy using Crossing Statistics with DESI DR1 BAO data
arxiv(2024)
摘要
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 with results from the conventional w_0–w_a
dark energy equation of state parametrization reported in the DESI Key
cosmology paper. Our results add an extensive class of model-agnostic
reconstructions with acceptable fits to the data, including models where cosmic
acceleration slows down at low redshifts. We also report constraints on from our model-agnostic analysis, independent of the pre-recombination physics.
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