A CVAE trained on simulated ringdown waveforms produces posterior estimates of remnant black hole parameters that match Bayesian inference, including overtones and a braneworld tidal charge parameter.
An Introduction to Extra Dimensions
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abstract
Models that involve extra dimensions have introduced completely new ways of looking up on old problems in theoretical physics. The aim of the present notes is to provide a brief introduction to the many uses that extra dimensions have found over the last few years, mainly following an effective field theory point of view. Most parts of the discussion are devoted to models with flat extra dimensions, covering both theoretical and phenomenological aspects. We also discuss some of the new ideas for model building where extra dimensions may play a role, including symmetry breaking by diverse new and old mechanisms. Some interesting applications of these ideas are discussed over the notes, including models for neutrino masses and proton stability. The last part of this review addresses some aspects of warped extra dimensions, and graviton localization.
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Black Hole Spectroscopy with Conditional Variational Autoencoder
A CVAE trained on simulated ringdown waveforms produces posterior estimates of remnant black hole parameters that match Bayesian inference, including overtones and a braneworld tidal charge parameter.