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Invited Keynote Presentation
in
Workshop: Machine Learning for Astrophysics

Capturing the First Portrait of Our Milky Way's Black Hole & Beyond

Katherine Bouman


Abstract:

This talk will present the methods and procedures used to produce the first image of Sagittarius A* -- the black hole at the heart of the Milky Way galaxy. It has been theorized for decades that a black hole will leave a "shadow" on a background of hot gas. Taking a picture of this black hole shadow could help to address a number of important scientific questions, both on the nature of black holes and the validity of general relativity. Unfortunately, due to its small size, traditional imaging approaches require an Earth-sized radio telescope. In this talk, I discuss techniques we have developed to photograph the M87* and Sagittarius A* black holes using the Event Horizon Telescope, a network of telescopes scattered across the globe. Imaging Sagittarius A* proved even more challenging than M87, due to the time-variability and interstellar scattering that had to be accounted for. I will summarize how the data from the 2017 observations were imaged and highlight the challenges that had to be addressed in order to capture an image of Sagittarius A, including newly developed methods we used to characterize the morphology and uncertainty. Although we have learned a lot from these images already, remaining scientific questions motivate us to improve this computational telescope to see black hole phenomena still invisible to us. This talk will also discuss how we are developing techniques that will allow us to extract the evolving structure of our own Milky Way's black hole over the course of a night in the future, perhaps even in three dimensions.

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