Stuck in Tutorial Hell? Learn Backend Dev the Right Way
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn about energy flow networks and their application to jet quenching studies in this 24-minute physics lecture by Joao Gonçalves from IPhT-TV. Explore the theoretical framework and computational methods used to analyze how high-energy jets lose energy when passing through dense nuclear matter, a phenomenon crucial for understanding quark-gluon plasma formation in heavy-ion collisions. Discover how energy flow networks provide insights into the mechanisms of jet modification and energy redistribution in extreme quantum chromodynamics environments, with applications to experimental data from particle accelerators like the Large Hadron Collider.
Syllabus
Energy flow networks for jet quenching studies - Joao Gonçalves
Taught by
IPhT-TV