Constraints on Energy Momentum Squared Gravity from cosmic chronometers and Supernovae Type Ia data
Chayan Ranjit (Egra S.S.B. College), Prabir Rudra (Asutosh College),, Sujata Kundu (Narula Instt. of Tech.)

TL;DR
This paper uses cosmic chronometers, supernovae, BAO, and CMB data to constrain the parameters of an energy momentum squared gravity model, analyzing its cosmological implications and comparing with recent observational datasets.
Contribution
It provides the first comprehensive observational constraints on the energy momentum squared gravity model using multiple cosmological data sets.
Findings
Model parameters are tightly constrained at various confidence levels.
The analysis shows compatibility of the model with observational data.
Adding dust to the cosmological fluid yields density parameters consistent with observations.
Abstract
In this work we perform an observational data analysis on the energy momentum squared gravity model. Possible solutions for matter density are obtained from the model and their cosmological implications are studied. Some recent observational data is used to constrain model parameters using statistical techniques. We have used the cosmic chronometer and SNe Type-Ia Riess (292) data-sets in our study. Along with the data-sets we have also used baryon acoustic oscillation (BAO) peak parameter and cosmic microwave background (CMB) peak parameter to obtain bounds on the model parameters. Joint analysis of the data with the above mentioned parameters have been performed to obtain better results. For the statistical analysis we have used the minimization technique of the statistic. Using this tool we have constrained the free parameters of the model. Confidence contours…
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