28th Conference on Computing in High Energy and Nuclear Physics (CHEP 2026)

Enhancing the ME0 Level-1 Trigger in the CMS Experiment Using Machine Learning

Not scheduled

1m

Chulalongkorn University

Poster Presentation Track 2 - Online and real-time computing Poster

Speaker

Woohyeon Heo (University of Seoul, Department of Physics (KR))

Description

The ME0 Gas Electron Multiplier (GEM) detector systems will be installed for the phase-2 upgrade of the Compact Muon Solenoid (CMS) experiment in the Large Hadron Collider (LHC). The ME0 detectors, located in each endcap of the muon system, are the only muon detectors that cover the range 2.4 < |eta| < 2.8. Due to the high background environment, keeping the trigger rate low while maintaining high efficiency is challenging. This study investigates improvements to the ME0 Level-1 trigger algorithm through machine learning aimed at lowering trigger rates without reducing efficiency.