Part 3 of the Astrophysics Empowered by the EHT Webinar Series
This session will cover general relativistic ray tracing (GRRT), a numerical technique for computing physically accurate black hole images from fluid/plasma models of black hole accretion flows.
Facilitator answers questions from attendees including:
-How can Machine Learning lend to creating simulations?
-What GPU computing powers are needed to efficiently compute the ray tracing?
-Question from a poet: is a vacuum real or is it a concept?
Facilitator: CK Chan, University of Arizona
Air date: Tuesday, October 27, 2020
This session is part of a monthly series. Subscribe and watch past webinars here: