Speaker
Description
High energy collisions in LHC produce an enormous number of particles and consequently a large quantity of electronic signals, which is a challenge for the The Compact Muon Solenoid (CMS). The increasing instantaneous luminosity of the LHC, i.e. HL-LHC, will be in the order of 2 x 10^34 cm^(-2)s^(-1). In that context, the CMS Level-1 (L1) trigger system rapidly processes raw information of the detector to efficiently select events containing interesting physics signatures. This raw information is named trigger primitives (TPs), which summarize detector hits into preliminary muon candidates. The Drift Tube (DT) system has a crucial role in providing spatial and temporal measurements for muon detection in the CMS barrel region |eta| < 1.2. In the DT system, the TPs are built through an algorithm named Analytical Method (AM). In AM, the final step, the timing information from Resistive Plate Chambers (RPCs), with superior timing resolution, is incorporated forming the so-called DT+RPC super-primitives. But the calculation used by the DT system is limited to evaluate the correct TP efficiency when the RPC system is working and the DT system is offline. To solve this problem, a collection in the simulation whose contents are RPC hits that can be related to muon from collisions can be used to check the correct RPC impact in TP efficiency. In addition, a proposal correction for RPC only segments is made by combining the two RPC layers, at the first and second stations (MB1 and MB2), to evaluate the reconstructed RPC time information correctly. Using simulated collision data with high pile-up conditions (average of 200 interactions per event), we demonstrate that these improvements offer robust performance enhancements for the CMS trigger system with the presence of the RPC system, ensuring more reliable identification and reconstruction of muon events in high-luminosity environments.