JOURNAL ARTICLE
Impact of charge on stellar configuration coupled to dark energy.
Published In: International Journal of Geometric Methods in Modern Physics, 2025, v. 22, n. 13. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ditta, Allah; Sohail, Hira; Mahmood, Irfan; Ashraf, Asifa; Mahmood, Asif 3 of 3
Abstract
Dark energy is a potential solution to prevent the gravitational collapse of compact objects into singularities, as it influences the accelerated expansion of the universe and may interact with astrophysical objects of significant compactness [1]. In this paper, we explore the interplay between general relativity and dark energy in charged compact star objects under the Karmarkar condition. Using the metric potential ansatz to solve the Einstein–Maxwell equations with a dark energy equation of state parameterized by b e t a , we derive various physical parameters. These parameters, calculated via the Israel–Darmois junction conditions, are graphically represented as functions of radius for four observational data sets of stars (Her X-1, SMC X-1, LMC X-4, Cen X-3). Our model introduces a singularity-free, stable charged dark energy star, providing a viable alternative to black holes. Key findings include the satisfaction of energy conditions, stability criteria, and force equilibrium within the star. The results indicate that our model is consistent with real astronomical data and may have significant implications for future research in general relativity and modified gravity theories. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Geometric Methods in Modern Physics. 2025/11, Vol. 22, Issue 13, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2025
- ISSN:0219-8878
- DOI:10.1142/S0219887825501129
- Accession Number:188886223
- 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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