-
Eliska Greplova (TU Delft)30/01/2024, 10:00
-
Francesco Maria Velotti (CERN)31/01/2024, 09:00
Most of limitations to fully exploit the CERN injector complex comes from problems that have a rather known formalism, but usually, due to interplay of many other factors make the analytical or numerical solutions almost impossible. In this context, machine learning is playing a key role allowing us to produce empirical models to estimate the accelerator behaviour to the desired accuracy for...
Go to contribution page -
Jonas Koehler (Microsoft Research)31/01/2024, 09:30
-
Gregor Kasieczka (Hamburg University (DE))01/02/2024, 14:00
Choose timezone
Your profile timezone: