This talk will present the methods and procedures used to produce the first image of a black hole from the Event Horizon Telescope, as well as discuss future developments for black hole imaging. Imaging the environment around a black hole's event horizon helps to answer a number of important scientific questions, both on the nature of black holes and the validity of general relativity. In this talk, I discuss techniques developed to photograph a black hole using the Event Horizon Telescope, a network of telescopes scattered across the globe. Imaging a black hole's structure with this computational telescope required us to reconstruct images from sparse measurements, heavily corrupted by atmospheric error. The talk will also discuss future developments, including new imaging techniques for uncertainty quantification and how we are developing machine learning approaches to help design future telescope arrays.
Check back for webinar information.