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Research PaperResearchia:202605.13024

Constraining Dark Energy Dynamics in Curved Spacetime with Current Observations

D. Revanth Kumar

Abstract

We investigate a dark energy (DE) equation of state (EoS) parametrization in a curved spacetime using current observations. We constrain the model parameters by using observational Hubble data from Cosmic Chronometer (CC), Pantheon Plus SH0ES (PPS), and DESI BAO DR2, along with their reconstructed datasets using an Artificial Neural Network (ANN). The parameter $α$ is constrained as $α\approx 0.35 (\approx 0.56)$ from original (reconstructed) data. This means reconstruction pushes the model towa...

Submitted: May 13, 2026Subjects: Physics; Physics

Description / Details

We investigate a dark energy (DE) equation of state (EoS) parametrization in a curved spacetime using current observations. We constrain the model parameters by using observational Hubble data from Cosmic Chronometer (CC), Pantheon Plus SH0ES (PPS), and DESI BAO DR2, along with their reconstructed datasets using an Artificial Neural Network (ANN). The parameter αα is constrained as α0.35(0.56)α\approx 0.35 (\approx 0.56) from original (reconstructed) data. This means reconstruction pushes the model toward a significant deviation from the standard ΛΛCDM framework. We find that the curvature parameter Ωk0=0.068±0.029Ω_{k0} = 0.068 \pm 0.029 at 68% CL with original data, suggests a slightly open universe, whereas with the reconstruction method, Ωk0=0.131±0.032Ω_{k0} = -0.131 \pm 0.032 at 68% CL suggests a closed universe. This shift in the mean value indicates that the reconstruction method is highly sensitive to curvature. We perform statistical model comparison criteria, namely, AIC and BIC to assess the reliability of our framework.


Source: arXiv:2605.10965v1 - http://arxiv.org/abs/2605.10965v1 PDF: https://arxiv.org/pdf/2605.10965v1 Original Link: http://arxiv.org/abs/2605.10965v1

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Date:
May 13, 2026
Topic:
Physics
Area:
Physics
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