Predicting the properties of black-hole merger remnants with deep neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Classical and Quantum Gravity"
DOI: 10.1088/1361-6382/ab905c
Abstract: We present the first estimation of the mass and spin magnitude of Kerr black holes resulting from the coalescence of binary black holes using a deep neural network. The network is trained on a dataset… read more here.
Keywords: deep neural; black holes; network; mass spin ... See more keywords
How to measure a black hole’s mass, spin, and direction of spin axis in the Kerr lens effect 1: Test case with simple source emission near a black hole
Sign Up to like & getrecommendations! Published in 2017 at "Progress of Theoretical and Experimental Physics"
DOI: 10.1093/ptep/ptx060
Abstract: ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .… read more here.
Keywords: mass spin; source; black hole; spin direction ... See more keywords
Constraints on Mass, Spin and Magnetic Field of Microquasar H 1743-322 from Observations of QPOs
Sign Up to like & getrecommendations! Published in 2018 at "Physics of Atomic Nuclei"
DOI: 10.1134/s1063778818020187
Abstract: The study of quasi-periodic oscillations (QPOs) of X-ray flux observed in many microquasars can provide a powerful tool for testing of the phenomena occurring in strong gravity regime. QPOs phenomena can be well related to… read more here.
Keywords: magnetic field; microquasar 1743; 1743 322; mass spin ... See more keywords