Speaker
Artur Lobanov
(Universität Hamburg)
Description
Particle colliders such as the LHC produce data at an unprecedented rate and volume. To overcome bandwidth constraints, event filtering systems are employed, with the first stage usually implemented in hardware using FPGAs. We present the studies on real-time event filtering using machine learning for the Level-1 Trigger of the CMS experiment.
Primary authors
Artur Lobanov
(Universität Hamburg)
Finn Jonathan Labe
(Universität Hamburg)
Gregor Kasieczka
(UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
Johannes Haller
(UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
Karim El-Morabit
(UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
Sven Martin Bollweg
(UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
