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UID:0-1879@hmc.edu
DTSTART;TZID=America/Los_Angeles:20261204T110000
DTEND;TZID=America/Los_Angeles:20261204T120000
DTSTAMP:20261113T231510Z
URL:https://www.hmc.edu/calendar/events/cs-colloquium-images-of-the-hidden
 -universe-katie-bouman-caltech/
SUMMARY:CS Colloquium: “Images of the Hidden Universe\,” Katie Bouman\,
  Caltech
DESCRIPTION:At the heart of our Milky Way galaxy lies a supermassive black 
 hole called Sagittarius A* that is evolving on the timescale of mere minut
 es. Computer scientist Katie Bouman will present the methods and procedure
 s used to produce the first images of Sagittarius A* as well as discuss fu
 ture directions we are taking to leverage machine learning to sharpen our 
 view of the black hole\, including mapping its evolving environment in 3D.
 \n\nIt has been theorized for decades that a black hole will leave a "shad
 ow" on a background of hot gas. However\, due to its small size\, traditio
 nal imaging approaches require an Earth-sized radio telescope. In this tal
 k\, Bouman discusses techniques developed to photograph a black hole using
  the Event Horizon Telescope\, a network of telescopes scattered across th
 e globe. Recovering an image from this data requires solving an ill-posed 
 inverse problem which necessitates the use of image priors to reduce the s
 pace of possible solutions. Although we have learned a lot from these init
 ial images already\, remaining scientific questions motivate us to improve
  this computational telescope to see black hole phenomena still invisible 
 to us. She will discuss approaches developed to incorporate data-driven di
 ffusion model priors into the imaging process to sharpen the view of the b
 lack hole and understand the sensitivity of the image to different underly
 ing assumptions. Additionally\, she will discuss how her team has develope
 d techniques that allow them to extract the evolving structure of our own 
 Milky Way’s black hole over the course of a night. She will introduce Or
 bital Black Hole Tomography\, which integrates known physics with a neural
  representation to map evolving flaring emission around the black hole in 
 3D for the first time.\nSpeaker\nKatherine L. (Katie) Bouman is a professo
 r in the Computing and Mathematical Sciences\, Electrical Engineering and 
 Astronomy departments at the California Institute of Technology. Her work 
 combines ideas from signal processing\, computer vision\, machine learning
  and physics to find and exploit hidden signals for scientific discovery. 
 Before joining Caltech\, she was a postdoctoral fellow in the Harvard-Smit
 hsonian Center for Astrophysics. She received her PhD in the Computer Scie
 nce and Artificial Intelligence Laboratory (CSAIL) at MIT in EECS\, and he
 r bachelor's degree in electrical engineering from the University of Michi
 gan. She is a Rosenberg Scholar\, Heritage Medical Research Institute Inve
 stigator\, recipient of the Royal Photographic Society Progress Medal\, El
 ectronic Imaging Scientist of the Year Award\, Sloan Fellowship\, Universi
 ty of Michigan Outstanding Recent Alumni Award and co-recipient of the Bre
 akthrough Prize in Fundamental Physics. As part of the Event Horizon Teles
 cope Collaboration\, she co-led the Imaging Working Group and acted as coo
 rdinator for papers concerning the first imaging of the M87* and Sagittari
 us A* black holes.
CATEGORIES:Faculty,Staff,Students
LOCATION:Galileo Hall\, 240 Platt Blvd.\, Claremont\, CA\, 91711\, United S
 tates
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