A model-independent assessment of the late-time dark energy density evolution
Rayff de Souza, Agripino Sousa-Neto, Javier E. Gonz\'alez, Jailson Alcaniz

TL;DR
This paper introduces a model-independent method using Gaussian Processes to reconstruct dark energy density evolution from recent cosmological data, challenging the need for phantom or evolving dark energy models.
Contribution
It proposes a novel, model-independent approach to reconstruct dark energy density directly from data, avoiding parametric biases inherent in traditional EoS parameterizations.
Findings
All models agree with the reconstruction within 95% confidence level.
Largest discrepancy observed for ΛCDM with DESY5 at low redshifts.
Current data do not provide statistically significant evidence for evolving or phantom dark energy.
Abstract
Combined measurements of Baryon Acoustic Oscillations (BAO) from the Dark Energy Spectroscopic Survey (DESI), the Cosmic Microwave Background (CMB) and Type Ia Supernovae (SN Ia), have recently challenged the -Cold Dark Matter (CDM) paradigm, indicating potential evidence for a dynamical dark energy component. These results are usually obtained in the context of the dark energy equation-of-state (EoS) parameterizations, generally implying in phantom-crossing at intermediate redshifts. However, a general mapping between these parameterizations that yields approximately the same background observables clouds the inference of the true nature of dark energy in the context of these parametric methods. In this work, we propose a model-independent reconstruction of the dark energy density, which is more directly constrained than its EoS, based on the Gaussian Process (GP)…
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Taxonomy
TopicsCosmology and Gravitation Theories · Gamma-ray bursts and supernovae · Particle physics theoretical and experimental studies
