Testing black holes with cosmological constant in Einstein-bumblebee gravity through the black hole shadow using EHT data and deflection angle
Reggie C. Pantig, Shubham Kala, Ali \"Ovg\"un, Nikko John Leo S. Lobos

TL;DR
This paper investigates black hole solutions in Einstein-Bumblebee gravity with a cosmological constant, analyzing thermodynamics, shadows, and deflection angles, revealing measurable deviations from general relativity that could be tested with EHT data.
Contribution
It introduces the impact of Lorentz-violating parameters and the cosmological constant on black hole properties, including thermodynamics, shadows, and lensing, extending Einstein-Bumblebee gravity analysis.
Findings
Lorentz-violating parameters alter black hole thermodynamics and phase transitions.
Black hole shadow profiles depend on the bumblebee parameter and cosmological constant, showing measurable deviations from GR.
Deflection angles are modified by Lorentz violation and cosmological constant, affecting gravitational lensing predictions.
Abstract
This study probes spacetime solutions within Einstein-Bumblebee gravity, a modified gravitational framework incorporating spontaneous Lorentz symmetry violation through a vector field mechanism. By introducing a cosmological constant into this model, the research scrutinizes thermodynamic properties of black holes in both anti-de Sitter (AdS) and de Sitter (dS) geometries. The investigation demonstrates how Lorentz-violating parameters alter foundational thermodynamic principles, including revisions to the first law of black hole mechanics and shifts in critical phenomena during phase transitions. Notably, the bumblebee coupling parameter emerges as a critical factor governing horizon structure and thermal emission characteristics, with pronounced deviations from general relativity (GR) predictions observed as this parameter increases. The analysis extends to observational signatures by…
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Taxonomy
TopicsRelativity and Gravitational Theory · Cosmology and Gravitation Theories · Computational Physics and Python Applications
