Deep learning black hole metrics from shear viscosity
Sign Up to like & getrecommendations! Published in 2020 at "Physical Review D"
DOI: 10.1103/physrevd.102.101902
Abstract: Based on AdS/CFT correspondence, we build a deep neural network to learn black hole metrics from the complex frequency-dependent shear viscosity. The network architecture provides a discretized representation of the holographic renormalization group flow of… read more here.
Keywords: hole metrics; deep learning; shear viscosity; black hole ... See more keywords
Characterizing black hole metrics in quadratic gravity
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.101501
Abstract: The recent discovery of non-Schwarzschild black hole spacetimes has opened new directions of research in higher-derivative gravitational theories. However, despite intense analytical and numerical efforts, the link with the linearized theory is still poorly understood.… read more here.
Keywords: hole metrics; black hole; metrics quadratic; characterizing black ... See more keywords