Published April 26, 2024 | Version v1
Journal article

Energy extraction via magnetic reconnection in Konoplya-Rezzolla-Zhidenko parametrized black holes

  • 1. Institute for Theoretical Physics and Cosmology, Zhejiang University of Technology, Hangzhou 310032, China and United Center for Gravitational Wave Physics, Zhejiang University of Technology, Hangzhou 310032, China

Description

Recently, Comisso and Asenjo proposed a novel mechanism for harnessing energy from black holes through magnetic reconnection. Our study focuses on exploring the utilization of this mechanism on Konoplya-Rezzolla-Zhidenko (KRZ) parametrized black holes to assess the impact of deformation parameters on energy extraction. Among the various parameters, {δ1,δ2} are identified as the most important factors affecting the physics under consideration. The influence of these two parameters on the ergoregion, circular geodesics in the equatorial plane, and energy extraction from the KRZ black holes through magnetic reconnection is carefully analyzed. Results indicate that deviations from the Kerr metric have a notable influence on the energy extraction process. Particularly, energy extraction is enhanced with more negative δ1 or more positive δ2 within the range constrained by current astronomical observations, resulting in significantly higher maximum power and efficiency compared to the Kerr model. Moreover, when δ2 is sufficiently negative, extracting energy through this mechanism becomes increasingly challenging, necessitating an exceptionally high black hole spin.

Additional details

Identifiers

DOI
10.1103/PhysRevD.109.084066;
arXiv
arXiv:2402.15050;
Crossref Funder ID
10.13039/501100001809;

Publishing Information

Journal Title
Physical Review D
Journal Volume
109
Journal Issue
8
Journal Page Range
13 pgs.
ISSN
1089-4918

Optional Information

Copyright
© 2024 American Physical Society
Contract/Grant/Project number
12075207
Notes
Contact Email: sjzhang@zjut.edu.cn; Record automatically processed
Funding organization
National Natural Science Foundation of China