Veranstaltungen

Machine Learning at the CMS experiment with selected examples

Invited presentation within the Particles Physics Seminar by Dr. Mehmet Özgür Sahin (Université Paris-Saclay) Machine learning (ML) algorithms are widely used in HEP experiments. Recent advancements in deep learning techniques contributed to the explosive growth of their applications. With the planned High Luminosity upgrade of the CERN Large Hadron Collider (LHC), the deep learning techniques will be even more prominent and are expected to be used in almost every step of readout and analysis of data collected by the Compact Muon Solenoid (CMS) detector. In this talk, examples of this wide variety of ML applications from data acquisition and reconstruction to end-to-end analyses will be presented. In addition, future applications being explored by the IRFU CMS group will be discussed. Kindly supported by the Bonn Global Cooperation Fund
Zeit
Donnerstag, 05.05.2022 10:15 Uhr - 11:00 Uhr
Veranstaltungstyp
Vortrag
Themengebiet
Physics, Informatics
Zielgruppen

Studierende

Wissenschaftler*innen

Sprachen
English
Ort
Konferenzraum II (PI 1.049), Physikalisches Institut, Nussallee 12, 53115 Bonn and via zoom (hybrid) for connection details contact the Dr. Lupberger
Raum
Konferenzraum II (PI 1.049)
Plätze
30
Reservierung
Nein
Veranstalter
Physikalisches Institut
Kontakt
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