Predicting the Properties of Coalescing Black Holes with Deep Neural Networks

Leïla Haegel Astroparticles and Cosmology Laboratory, University of Paris Postdoctoral Researcher Abstract: Black holes in binary systems orbit around each other and get closer as the system loses energy by emitting gravitational waves, before eventually coalescing into a remnant black hole. The properties of the remnant black hole can be determined during the numerical computation of the gravitational waves emitted in the last stage of the coalescence. Numerical resolution of the Einstein Equations during