Impact of a newly parametrized deceleration parameter on the accelerating universe and the reconstruction of f(Q) non-metric gravity models by Devaraja Mallesha Naik, N. S. Kavya, L. Sudharani, V. Venkatesha

“…Constrained by a combined dataset of 31 cosmic chronometers (CC) data points, 26 non-correlated baryonic acoustic oscillations (BAO) points, and 1701 Pantheon $$+$$ + data points from supernovae type Ia (SNeIa), we determine the model parameters using a Markov Chain Monte Carlo (MCMC) method. …”
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Probing accelerating cosmos via reconstructed Hubble parameter and its influence on f(T) gravity models by L. Sudharani, N.S. Kavya, Devaraja Mallesha Naik, V. Venkatesha

“…The analysis incorporates a comprehensive dataset consisting of 34 cosmic chronometers (CC) data points, 40 non-correlated baryonic acoustic oscillations (BAO) points, and 1701 updated Pantheon+ supernovae type Ia (SNeIa) data points. The study investigates various aspects of the model's behavior, such as the transition from deceleration to acceleration, and the evolution of jerk and snap parameters. …”
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Model-independent cosmological insights from three newly reconstructed deceleration parameters with observational data by Devaraja Mallesha Naik, N.S. Kavya, L. Sudharani, V. Venkatesha

“…We constrained the model parameters using a Markov Chain Monte Carlo (MCMC) method by utilizing a combined dataset of 31 cosmic chronometers (CC) data points, 26 non-correlated baryonic acoustic oscillations (BAO) points, and recently updated 1701 Pantheon+ data points from supernovae type Ia (SNeIa). …”
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