Persistent and serious challenge to the $\Lambda$CDM throne: Evidence for dynamical dark energy rising from combinations of different types of datasets
Mustapha Ishak, Leonel Medina-Varela

TL;DR
This study combines multiple cosmological datasets to provide strong evidence (up to 4.4 sigma) favoring dynamical dark energy over the cosmological constant, challenging the standard $ ext{Lambda}$CDM model.
Contribution
It demonstrates that various dataset combinations consistently favor a dynamical dark energy model with a time-varying equation of state over $ ext{Lambda}$CDM, with high statistical significance.
Findings
Dataset combinations favor $w_0 w_a$CDM over $ ext{Lambda}$CDM with up to 4.4$\sigma$ significance.
The pattern persists across different dataset exclusions, indicating robustness.
High-confidence evidence supports dynamical dark energy as a serious challenge to $ ext{Lambda}$CDM.
Abstract
We derive multiple constraints on dark energy and compare dynamical dark energy models with a time-varying equation of state (CDM) versus a cosmological constant model (CDM). We use Baryon Acoustic Oscillation (BAO) from DESI and DES, Cosmic Microwave Background from Planck with and without lensing from Planck and ACT (noted CMBL and CMB, respectively), supernova (SN), and cross-correlations between galaxy positions and galaxy lensing from DES. First, we use pairs or trios of datasets where we exclude one type of dataset each time and categorize them as ``NO SN", ``NO CMB" and ``NO BAO" combinations. In all cases, we find that the combinations favor the CDM model over CDM, with significance ranging from 2.3 to 3.3. For example, DESI+DESY6BAO+CMB yields 3.2 without SN, DESI+DESY6BAO+DESY5SN yields 3.3 without CMB, and…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Computational Physics and Python Applications
