• Citer

A new Kalman Filter as Track Fitting Algorithm for the Level-1 Trigger for the CMS GEM Upgrade

par Lenzi, Thomas
Référence Belgian Physical Society magazine, 2-2014
Publication Publié, 2014-07-11

Article révisé par les pairs

• Détails
• Contenu

Résumé :

In the upcoming years, with the upgrades of the Large Hadron Collider (LHC) to higher luminosities, the Compact Muon Solenoid (CMS) will be subject to increasing fluxes of particles, especially in the detectors closer to the beam pipe. To consolidate the muon spectrometer of CMS and increase redundancy, the CMS GEM collaboration proposes to instrument the muon forward regions with Triple-Gas Electron Multiplier (GEM) detectors. This technology has proven to remain efficient under high fluxes and meets the timing and spatial resolution requirements of CMS. This article presents the results yielded by a new track reconstruction algorithm, namely an hybrid Runge-Kutta-Kalman filter, designed for the first selection stage of CMS for Triple-GEM detectors. A comparative analysis is performed between the results obtained with Triple-GEM detectors and those given by the current system in order to quantify the improvements made to the CMS muon spectrometer and to the CMS trigger system.