Barrel muon track reconstruction at CMS level-1 trigger using deep learning

The CMS Level-1 (L1) Trigger executes rapid (under 3 microseconds) reconstruction using FPGA logic on a subset of detector data at the 40 MHz bunch-crossing rate, selecting approximately 100 kHz of the most interesting events for full readout and processing in the software filter farm. The L1 Scouting system introduces a novel data-taking paradigm, capturing L1 information at the full 40 MHz rate, enabling analyses with minimal selection bias and greater flexibility for studying rare or unexpected phenomena.

This project uses machine learning techniques to implement a robust real-time data quality and system integrity monitoring solution, ensuring precise oversight of FPGA operations within L1 Scouting. The integration of these methods supports efficient and reliable operation of the system, enabling detailed physics analyses under high-luminosity conditions.