DESI 2024: Reconstructing Dark Energy using Crossing Statistics with DESI DR1 BAO data
JCAP10(2024)048 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-SN...
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Journal Article |
Language: | English |
Published: |
25-10-2024
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Subjects: | |
Online Access: | Get full text |
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Summary: | JCAP10(2024)048 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 $z\gtrsim 1$, at varying
significance depending on the 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
$H_0r_d$ from our model-agnostic analysis, independent of the pre-recombination
physics. |
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DOI: | 10.48550/arxiv.2405.04216 |