JOURNAL ARTICLE
Physically viable strange quark star models in modified teleparallel gravity.
Published In: International Journal of Geometric Methods in Modern Physics, 2024, v. 21, n. 2. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Saleem, Rabia; Zubair, M.; Aslam, M. Israr; Karamat, Faisal 3 of 3
Abstract
The aim of this paper is to develop the isotropic and anisotropic quark stars configurations in the context of f (T ,) gravity in the static spherically symmetric background. To explore the combined effects of torsion scalar T and the trace of energy–momentum tensor (EMT) on relativistic astrophysics, we use diagonal as well as non-diagonal tetrad fields. By considering the conformal Killing vectors along with the MIT bag model, the interior solutions of the field equations corresponding to the linear f (T ,) = α T (r) + β (r) + ϕ model (in which α , β are the constants and ϕ indicates the cosmological constant) are calculated. The feasibility of the obtained solutions is confirmed by implementing several physical tests. The model parameters are constrained subject to the existence and stability of the quark star models. We formulate the energy constraints, stability equations, mass function, compactness and redshift factor, and present the graphical analysis of all physical quantities. It is found that the derived solutions for both diagonal and non-diagonal tetrad exhibit well-behaved profiles in the framework of modified teleparallel gravity. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Geometric Methods in Modern Physics. 2024/02, Vol. 21, Issue 2, p1
- Document Type:Article
- Subject Area:Astronomy and Astrophysics
- Publication Date:2024
- ISSN:0219-8878
- DOI:10.1142/S0219887824500440
- Accession Number:176107775
- 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.