Statefinder Parameters for Tachyon Dark Energy Model
Ying Shao, Yuanxing Gui

TL;DR
This paper analyzes the statefinder parameters for tachyon dark energy models, revealing unique trajectories that pass through the LCDM fixed point, distinguishing it from other dark energy models.
Contribution
It introduces the statefinder diagnostic for tachyon dark energy and identifies stable attractor solutions with distinctive evolutionary trajectories.
Findings
Trajectories pass through the LCDM fixed point
Two stable attractor solutions exist
Distinctive statefinder evolution compared to other models
Abstract
In this paper we study the statefinder parameters for the tachyon dark energy model. There are two kinds of stable attractor solutions in this model. The statefinder diagrams characterize the properties of the tachyon dark energy model. Our results show that the evolving trajectories of the attractor solutions lie in the total region and pass through the LCDM fixed point, which is different from other dark energy model.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
