Probing the Dynamics of Gaussian Dark Energy Equation of State Using DESI BAO
Saddam Hussain, Simran Arora, Anzhong Wang, Ben Rose

TL;DR
This paper reconstructs the dark energy equation of state using DESI BAO data, proposing a new BellDE model that avoids phantom behavior at high redshifts and fits observational data well.
Contribution
It introduces the BellDE model, a Gaussian-like EoS form that remains within physical bounds and better captures the dynamical evolution of dark energy.
Findings
BellDE avoids phantom behavior at high redshifts.
BellDE exhibits a transient phantom phase around redshift 0.5.
BellDE provides a better fit in the redshift range 0.5-1.
Abstract
We present an updated reconstruction of the DE equation of state (EoS), , employing the newly released DESI DR2 Baryon Acoustic Oscillation data. This analysis constrains the cosmological scenarios influenced by different models through the joint examination of a range of recently available cosmological probes, specifically the Pantheon+ sample and the DESY5 sample of Type Ia Supernovae, baryon acoustic oscillations, Hubble parameter measurements derived from cosmic chronometers, and cosmic microwave background distance priors based on the Planck 2018 data. Furthermore, we provide a concise perspective on the dynamical evolution of all models (CPL, PADE, GEDE, GDE, BellDE) and their interrelations. A Bayesian inference procedure is adopted to estimate the models parameters that yield the best fit to the data. The EoS remains within the phantom regime at higher redshifts, while…
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Taxonomy
TopicsCosmology and Gravitation Theories · Geophysics and Gravity Measurements · Astronomy and Astrophysical Research
