Webinar Overview:

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?

Download facilitator’s slides.

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:

BH PIRE Science Channel on YouTube