Cosmological model with a parametrization of the hubble parameter in f(R,T) theory of gravity

This study investigates the cosmological implications of the [Formula: see text] gravity model. [Formula: see text] gravity is a modification of General Relativity (GR) that introduces a coupling between the Ricci scalar R and the trace of the energy–momentum tensor T. This work provides a comprehensive analysis of the model’s predictions using updated observational data, including uncorrelated Baryon Acoustic Oscillations and Cosmic Chronometers. By employing the Markov Chain Monte Carlo technique, we constrain the model parameters, demonstrating their compatibility with current observational datasets. Our findings reveal that the model naturally extends the [Formula: see text]CDM model, with the parameter [Formula: see text] from [Formula: see text] gravity quantifying deviations from GR. Additionally, we provide a critical discussion on the challenges and limitations of the [Formula: see text] framework, addressing issues such as observational constraints, systematic uncertainties and model dependencies. This work not only refines parameter constraints for [Formula: see text] gravity, but also bridges the gap between theoretical predictions and observational tests, offering a powerful framework for exploring deviations from GR in a cosmological context.

Authors

Institutions

Publication Details

Journal
International Journal of Modern Physics A
Published
2025-03-14
DOI
https://doi.org/10.1142/s0217751x25500484
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cosmological model with a parametrization of the hubble parameter in f(R,T) theory of gravity

Değer Sofuoğlu, Aroonkumar Beesham, Priti Mishra, Bhupendra Kumar Shukla et al.
International Journal of Modern Physics A
Geophysics and Gravity Measurements
article

Cosmological model with a parametrization of the hubble parameter in f(R,T) theory of gravity

Değer Sofuoğlu, Aroonkumar Beesham, Priti Mishra, Bhupendra Kumar Shukla, Rashmi Dubey
article en

Abstract

This study investigates the cosmological implications of the [Formula: see text] gravity model. [Formula: see text] gravity is a modification of General Relativity (GR) that introduces a coupling between the Ricci scalar R and the trace of the energy–momentum tensor T. This work provides a comprehensive analysis of the model’s predictions using updated observational data, including uncorrelated Baryon Acoustic Oscillations and Cosmic Chronometers. By employing the Markov Chain Monte Carlo technique, we constrain the model parameters, demonstrating their compatibility with current observational datasets. Our findings reveal that the model naturally extends the [Formula: see text]CDM model, with the parameter [Formula: see text] from [Formula: see text] gravity quantifying deviations from GR. Additionally, we provide a critical discussion on the challenges and limitations of the [Formula: see text] framework, addressing issues such as observational constraints, systematic uncertainties and model dependencies. This work not only refines parameter constraints for [Formula: see text] gravity, but also bridges the gap between theoretical predictions and observational tests, offering a powerful framework for exploring deviations from GR in a cosmological context.

International Journal of Modern Physics AVol. 40(17)
University of Zululand (ZA), Government of Uttar Pradesh (IN), Shyam Shah Medical College (IN), Fatih University (TR), Istanbul University (TR)
Openalex Percentile: Top 94%
Geophysics and Gravity Measurements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.