JOURNAL ARTICLE

The impact of f(Q,T) gravity on Barrow holographic dark energy: A cosmological analysis.

  • Published In: International Journal of Geometric Methods in Modern Physics, 2025, v. 22, n. 11. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Myrzakulov, N.; Shekh, S. H.; Pradhan, Anirudh; Ghaderi, K. 3 of 3

Abstract

In this paper, we explore a new version of dark energy called Barrow holographic dark energy within the framework modified gravity called f (Q , T) gravity by adopting the simple homogeneous, isotropic, and spatially flat Friedmann–Robertson–Walker (FRW) model of the universe. Our goal is to understand how the universe evolved over time. To do this, we use parameterizetion of Hubble's parameter method. We then use a powerful tool called Monte-Carlo Markov Chain to find the best values for the constants in our formula. We do this by comparing our formula to actual data from observations of the universe. Once we have the best values for the constants, we calculate other important parameters that describe the universe's evolution. These include: Deceleration parameter which measures how quickly the expansion is slowing down. We found q 0 = − 0. 6 0 1 − 0. 0 1 3 1 + 0. 0 1 3 1 . Equation of state parameter measures the properties of dark energy. We find ω 0 = − 0. 7 0 1 8 − 0. 0 1 0 1 + 0. 0 1 0 1 . We also study the stability and energy conditions along with the state-finder and O m (z) -parameter of our model to ensure it is consistent with our understanding of the universe. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Geometric Methods in Modern Physics. 2025/09, Vol. 22, Issue 11, p1
  • Document Type:Article
  • Subject Area:Astronomy and Astrophysics
  • Publication Date:2025
  • ISSN:0219-8878
  • DOI:10.1142/S0219887825500793
  • Accession Number:188605713
  • Copyright Statement:Copyright of International Journal of Geometric Methods in Modern Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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