Development and Study of Different Muon Track Reconstruction Algorithms for the Level-1 Trigger for the CMS Muon Upgrade with GEM Detectors

TL;DR

This paper compares three muon track reconstruction algorithms using Triple-GEM detectors in CMS, demonstrating improvements in efficiency and accuracy for high-luminosity LHC conditions through simulation studies.

Contribution

It introduces and evaluates three novel algorithms for muon track reconstruction with Triple-GEM detectors in CMS, enhancing trigger performance at high particle fluxes.

Findings

Kalman filter algorithms outperform Least Squares fit in accuracy

Triple-GEM detectors provide higher efficiency under high flux

Significant improvements in muon trigger precision

Abstract

In the upcoming years, with the upgrade of the LHC to higher luminosities, CMS will be subject to an increasing flux of particles, especially in its most forward region, at | \eta | > 1.6. To consolidate the muon spectrometer of CMS and increase redundancy, the CMS GEM collaboration proposes to instrument the 1.6 < | \eta | < 2.1 region, originally foreseen to be equipped with RPC, with Triple-GEM detectors. This technology has proven to remain efficient under high fluxes and meets the requirements of CMS. This work, using simulations, studies three track reconstruction algorithms intended to be installed in the first selection stage of CMS for Triple-GEM detectors: a Least Squares fit, a standard Kalman filter, and a modified Kalman filter. A comparative analysis is performed between the results obtained with Triple-GEM detectors and those yielded by the actual system in order to quantity the improvements made to the CMS muon spectrometer and to the CMS trigger system.