Reconstructing cosmic evolution with a density parametrization
Ritika Nagpal, Shibesh Kumar Jas Pacif, Abhishek Parida

TL;DR
This paper introduces a density parametrization approach to model cosmic evolution, demonstrating a smooth transition from deceleration to acceleration, constrained by observational data, and predicting a future big crunch scenario.
Contribution
It presents a novel density parametrization scheme for dark energy models, constrained by multiple datasets, and compares its predictions with the standard $ ext{Lambda}$CDM model.
Findings
Shows a smooth transition from decelerating to accelerating universe
Predicts a future big crunch collapse
Provides best-fit cosmological parameters from observational data
Abstract
The current paper provides a comprehensive examination of a dark energy cosmological model in the classical regime, in which a generic scalar field is regarded as a dark energy source. Einstein's field equations are solved in model independent way i.e. using a scheme of cosmological parametrization. A parametrization of the density parameter as a function of the cosmic scale factor has been investigated in this line. The result is noteworthy because it shows a smooth transition from a decelerating to an accelerating phase in the recent past. The model parameters involved in the functional form of the parametrization approach utilized here were constrained using certain external datasets. The updated Hubble datasets containing 57 datapoints, 1048 points of recently compiled Pantheon datasets, and also the Baryon Acoustic Oscillation (BAO) datasets are used here to determine the…
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