Diagnosing holographic type dark energy models with the Statefinder hierarchy, composite null diagnostic and $w-w'$ pair
Ze Zhao, Shuang Wang

TL;DR
This paper evaluates various holographic dark energy models using multiple diagnostic tools to determine their distinguishability, finding that the $ ext{Lambda}$HDE model can be effectively separated from others with these methods.
Contribution
It applies the Statefinder hierarchy, composite null diagnostic, and $w-w'$ analysis to differentiate holographic dark energy models, highlighting the effectiveness of these tools especially for $ ext{Lambda}$HDE.
Findings
$S_4^{(1)}$ shows larger differences than $S_3^{(1)}$ in diagnostics.
CND has a stronger ability to distinguish models than the Statefinder hierarchy.
$ ext{Lambda}$HDE can be easily distinguished from other models using these diagnostics.
Abstract
The main purpose of this work is to distinguish various holographic type dark energy (DE) models, including the HDE, HDE, NADE and RDE model, by using various diagnostic tools. The first diagnostic tool is the Statefinder hierarchy, in which the evolution of Statefinder hierarchy parmeter and are studied. The second is composite null diagnostic (CND), in which the trajectories of and are investigated, where is the fractional growth parameter. The last is analysis, where is the equation of state for DE and the prime denotes derivative with respect to . In the analysis we consider two cases: varying current fractional DE density and varying DE model parameter . We find that: (1) Both the Statefinder hierarchy and the CND have qualitative impact on…
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Taxonomy
TopicsBlack Holes and Theoretical Physics · Cosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena
