Entropy based Model Independent Diagnostic to Discriminate Dark Energy
Tanisha Joshi

TL;DR
This paper introduces an entropy-based diagnostic method to differentiate constant and dynamical dark energy models by analyzing entropy patterns over cosmic time, offering a new tool for understanding cosmic acceleration.
Contribution
It presents a novel entropy measure derived from cosmic expansion history to distinguish dark energy models, advancing the methodology in cosmological diagnostics.
Findings
Entropy patterns differ significantly between dark energy models
The method effectively discriminates between constant and dynamical dark energy
Provides insights into the physics driving cosmic acceleration
Abstract
We propose utilizing entropy as a diagnostic tool to distinguish between constant and dynamical dark energy models. Entropy, a measure of the system's disorder or information content, captures the complexity and evolution of the universe. By analyzing the entropy measure over cosmic time, we can uncover distinct patterns and trends that differentiate constant and dynamical dark energy scenarios. By analyzing the entropy measure over cosmic time, we reveal distinctive patterns and trends that differentiate constant dark energy, such as the cosmological constant, from dynamical dark energy scenarios. Our findings demonstrate the effectiveness of entropy as a powerful tool to distinguish between these two classes of dark energy models, providing valuable insights into the nature of cosmic acceleration and advancing our understanding of the fundamental physics driving the universe's…
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.
Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Complex Systems and Time Series Analysis
