A new diagnostic for the null test of dynamical dark energy in light of DESI 2024 and other BAO data
Bikash R. Dinda

TL;DR
This paper introduces new null diagnostics for testing dynamical dark energy using BAO data, including DESI 2024, and finds no strong evidence for deviations from the standard $\\Lambda$CDM model.
Contribution
It proposes novel diagnostics for null tests of dynamical dark energy that are independent of dark energy parametrizations and applies them to recent BAO and CMB data.
Findings
No strong evidence for dynamical dark energy.
Evidence weakens when excluding deviations at redshift 0.51.
Results are consistent across different BAO datasets.
Abstract
We introduce a new diagnostic for the null tests of dynamical dark energy alongside two other combined equivalent diagnostics. These diagnostics are useful, especially when we include anisotropic baryon acoustic oscillation (BAO) data in an analysis, to quantify the deviations from the standard CDM model. We also consider another diagnostic for isotropic BAO observations. These null tests are independent of any late-time dark energy model or parametrization. With these diagnostics, we study the evidence for dynamical dark energy in light of Dark Energy Spectroscopic Instrument (DESI) 2024 data combined with cosmic microwave background (CMB) observations of the Planck 2018 mission and local measurements. We find no strong evidence for dynamical dark energy. The exclusion of the individual deviations at the effective redshift 0.51 of the DESI 2024 data makes the evidence…
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Taxonomy
TopicsStatistical and numerical algorithms · Solar and Space Plasma Dynamics · Astronomical Observations and Instrumentation
