An overview of what current data can (and cannot yet) say about evolving dark energy
William Giar\`e, Tariq Mahassen, Eleonora Di Valentino, Supriya Pan

TL;DR
This review assesses the robustness of evidence for dynamical dark energy using multiple cosmological datasets, revealing that some data combinations weaken the DDE preference while others support it, highlighting current limitations.
Contribution
It systematically evaluates the statistical significance of dynamical dark energy signals across diverse data combinations and clarifies what current observations can and cannot reveal about DDE.
Findings
Including PantheonPlus SN and SDSS BAO weakens DDE evidence.
Excluding DESI-BAO, some data combinations support DDE.
Current data provide limited and sometimes conflicting insights into DDE.
Abstract
Recent measurements of Baryon Acoustic Oscillations (BAO) and distance moduli from Type Ia supernovae suggest a preference for Dynamical Dark Energy (DDE) scenarios characterized by a time-varying equation of state (EoS). This focused review assesses its robustness across independent measurements and surveys. Using the Chevallier-Polarski-Linder (CPL) parametrization to describe the evolution of the DE EoS, we analyze over 35 dataset combinations, incorporating Planck Cosmic Microwave Background (CMB) anisotropies, three independent Type Ia supernova (SN) catalogs (PantheonPlus, Union3, DESY5), BAO measurements from DESI and SDSS, and expansion rate measurements inferred from the relative ages of massive, passively evolving galaxies at early cosmic times known as Cosmic Chronometers (CC). This review has two main objectives: first, to evaluate the statistical significance of the…
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Taxonomy
TopicsCosmology and Gravitation Theories · Dark Matter and Cosmic Phenomena · Computational Physics and Python Applications
