Constraints on Multicomponent Dark Energy from Cosmological Observations
Ke Wang, Lu Chen

TL;DR
This study investigates multicomponent dark energy models using cosmological data, finding limited evidence for multiple components and favoring simpler models with fewer components.
Contribution
It introduces a numerical framework for constraining multicomponent dark energy models from observational data, extending previous analyses beyond single-component assumptions.
Findings
Small n models are slightly favored by data.
No clear evidence supports multiple dark energy components.
Larger n models increase fit statistics and overlap of parameters.
Abstract
Dark energy (DE) plays an important role in the expansion history of our universe. But we only got limited knowledge about its nature and properties after decades of study.In most numerical researches, DE is usually considered as a dynamical whole. Actually, multicomponent DE models can also explain the accelerating expansion of our universe, which is accepted theoretically but lack of numerical researches. We try to study the multicomponent DE models from observation by constructing CDM models. The total energy density of DE is separated into () parts equally and every part has a constant EOS (). We modify the Friedmann equation and the parameterized post-Friedmann description of DE, then put constraints on s from Planck 2018 TT,TE,EElowElensing, BAO data and PANTHEON samples. The multicomponent DE models are favoured if any CDM model…
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