Observational constraints on a logarithmic scalar field dark energy model and black hole mass evolution in the Universe
Dan Wang, M. Koussour, Adnan Malik, N. Myrzakulov, and G. Mustafa

TL;DR
This paper introduces a new logarithmic scalar field dark energy model constrained by observational data, and explores black hole mass evolution in a universe with matter and dark energy.
Contribution
It proposes a novel logarithmic parametrization for dark energy density and constrains it using multiple observational data sets, also analyzing black hole mass evolution.
Findings
Transition redshift z_tr ≈ 0.79 with observational consistency
Current deceleration parameter q_0 ≈ -0.43
Black hole mass increases initially then stabilizes in dark energy dominance
Abstract
We propose a logarithmic parametrization form of energy density for the scalar field dark energy in the framework of the standard theory of gravity, which supports the necessary transition from the decelerated to the accelerated behavior of the Universe. The model under consideration is constrained by available observational data, including cosmic chronometers data-sets (CC), Baryonic Acoustic Oscillation (BAO) data-sets, and Supernovae (SN) data-sets, consisting of only two parameters and . The combined ++ data-sets yields a transition redshift of , where the model exhibits signature-flipping and is consistent with recent observations. For the combined data-sets, the present value of the deceleration parameter is calculated to be . Furthermore, the analysis yields constraints on both the parameter…
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Taxonomy
TopicsCosmology and Gravitation Theories · Computational Physics and Python Applications · Geophysics and Gravity Measurements
