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We present a novel dynamical dark energy model within the frameworks of both Einstein gravity and Horava-Lifshitz gravity. Utilizing a new parametrization of the dark energy equation of state (z), we derive solutions to the field equations. By employing recent cosmological datasets, such as cosmic chronometer datasets, Type Ia Supernovae datasets, Baryonic Oscillation datasets, and the recent Hubble constant value measured by the Hubble Space Telescope and the SH0ES Team as an additional prior. We validate our model and determine optimal parameter values. Furthermore, we analyze the evolution of the Universe by showing the redshift dependence plots of key cosmological parameters through graphical representations. We also perform diagnostic analyses to compare our model with the standard model. Using the Akaike Information Criterion (AIC), we compare the three models and find that all of them are supported by the current data, making it impossible to discard any of them. Our model aligns well with recent observations and unveils intriguing features of the Universe, particularly the late-time behavior of the Universe.
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Ujjal Debnath
Institute of Engineering Science
Himanshu Chaudhary
Khazar University
Niyaz Uddin Molla
Institute of Engineering Science
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Debnath et al. (Fri,) studied this question.
synapsesocial.com/papers/68e68aacb6db6435876123d8 — DOI: https://doi.org/10.48550/arxiv.2405.15874