Influence of Generalized Ghost Dark Energy on Wormhole Geometry
Abstract
This article presents a wormhole solution constructed from a generalized ghost dark energy (GGDE) source in general relativity. At first, a brief review of GGDE is presented along with the necessary mathematical frameworks. We employed the Markov Chain Monte Carlo (MCMC) technique to constrain the free parameters of the model using the CC+BAO, Pantheon+, and their combined datasets. Furthermore, the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used to statistically assess the model's performance and determine its level of acceptance. Next, the basics of wormhole geometries along with the thin-shell formalism are explained in detail. After that, three different wormhole solutions associated with three different choices of the redshift function are presented ,and their various geometric properties as well as energy conditions are studied graphically. Finally, the stability of these thin--shell structures is examined analytically as well as graphically by studying the associated effective potential.
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BibTeX
@misc{paramanik2026influence,
title = {{Influence of Generalized Ghost Dark Energy on Wormhole Geometry}},
author = {Soubhik Paramanik and Anamika Kotal and Ujjal Debnath},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.00029},
eprint = {2609.00029},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.00029},
}
RIS
TY - UNPB
TI - Influence of Generalized Ghost Dark Energy on Wormhole Geometry
AU - Soubhik Paramanik
AU - Anamika Kotal
AU - Ujjal Debnath
PY - 2026
DA - 2026/09/01
PB - arXiv
DO - 10.48550/arxiv.2609.00029
UR - https://arxiv.org/abs/2609.00029
AB - This article presents a wormhole solution constructed from a generalized ghost dark energy (GGDE) source in general relativity. At first, a brief review of GGDE is presented along with the necessary mathematical frameworks. We employed the Markov Chain Monte Carlo (MCMC) technique to constrain the free parameters of the model using the CC+BAO, Pantheon^+, and their combined datasets. Furthermore, the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used to statistically assess the model's performance and determine its level of acceptance. Next, the basics of wormhole geometries along with the thin-shell formalism are explained in detail. After that, three different wormhole solutions associated with three different choices of the redshift function are presented ,and their various geometric properties as well as energy conditions are studied graphically. Finally, the stability of these thin--shell structures is examined analytically as well as graphically by studying the associated effective potential.
ER -