Speaker
Prof.
Daniele Bonacorsi
(University of Bologna)
Description
Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase.
Primary authors
A Repečka
(Univ. Vilnius)
Christian Contreras
(DESY)
Daniele Abercrombie
(MIT)
Prof.
Daniele Bonacorsi
(University of Bologna)
Jean Roch Vlimant
(Caltech)
K Kančys
(Univ. Vilnius)
Luca Giommi
(Univ. Bologna)
Mr
Tommaso Diotalevi
(Univ. Bologna)
Valentin Kuznetsov
(Univ. Cornell)
Z Matonis
(Univ. Vilnius)
