A New $Om(z)$ Diagnostic of Dark Energy in General Relativity Theory

Abstract

In this paper, we propose a new parametrization of dark energy based on the $Om(z)$ diagnostic tool behavior. For this purpose, we investigate a functional form of the $Om(z)$ that predicts the popular dark energy dynamical models, namely phantom and quintessence. We also found the famous cosmological constant for specified values of the model's parameters. We employed the Markov Chain Monte Carlo approach to constrain the cosmological model using Hubble, Pantheon samples, and BAO datasets. Finally, we used observational constraints to investigate the characteristics of dark energy evolution and compare our findings to cosmological predictions.

The European Physical Journal C accepted version

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Cited by in corpus (10)

• A new diagnostic for the null test of dynamical dark energy in light of DESI 2024 and other BAO data
• A comprehensive parametrization approach for the Hubble parameter in scalar field dark energy models
• Observational constraints on a generalized equation of state model
• Exploring cosmological evolution and constraints in $f(T)$ teleparallel gravity
• Cosmological constraints on time-varying cosmological terms: A study of FLRW universe models with $\Lambda (t)$CDM cosmology
• Bulk viscous matter in $f(T)$ gravity: A path to cosmic acceleration
• Signature flips in time-varying $\Lambda (t)$ cosmological models with observational data
• A new parametrization of Hubble function and Hubble tension
• Cosmic expansion beyond $\Lambda$CDM: Investigating power-law and logarithmic corrections
• Dynamical Dark Energy Signatures from a New Transition $Om(z)$ Parametrization in Flat FLRW Cosmology