Ponente
Descripción
The High-Luminosity Large Hadron Collider (HL-LHC) will deliver unprecedented collision rates, demanding ultra-fast trigger systems capable of selecting the most interesting events in real time. In the CMS experiment, one of the challenges is identifying rare and unconventional signatures that standard trigger algorithms often miss, such as muon showers: localized bursts of detector activity produced when highly energetic muons interact with detector material, or potentially when exotic long-lived particles decay inside the detector. These effects can confuse conventional reconstruction algorithms, reducing the efficiency for detecting high-momentum muons and possible new-physics signatures. In this edition of the ICTEA Days, I present the current status of the development of new strategies for the CMS Level-1 muon trigger capable of identifying muon-shower signatures directly from low-level detector information within the strict latency constraints of FPGA-based hardware operating at MHz event rates. Our studies demonstrate efficient muon-shower tagging while maintaining acceptable trigger rates, opening the possibility of improving sensitivity to high-momentum muons and long-lived particle signatures already at the earliest stage of data acquisition.