Speaker
Description
The CMS experiment at the CERN Large Hadron Collider (LHC) is preparing to upgrade its muon detection system by installing new chambers based on Gas Electron Multiplier (GEM) technology, a type of Micro-Pattern Gas Detector (MPGD). The design of an MPGD varies based on experimental requirements, but studying each detector parameter in situ can be costly and impractical. Additionally, the large scale of such experiments presents challenges in designing and producing large-area gas detectors while maintaining optimal performance. To address these challenges, Monte Carlo simulations play a crucial role in evaluating detector performance, aiding in measurement interpretation, and optimizing detector design and parameters. Garfield++ is an open-source Monte Carlo toolkit specifically designed for detailed particle detector simulations, including ionization processes in gases and semiconductors. This software package integrates multiple standalone programs, each dedicated to a specific aspect of the simulation. The final results are analyzed using ROOT. In this study, we present an analysis of key performance parameters of the CMS Triple-GEM detectors using Garfield++. We simulate signal induction and examine the resulting signal shapes to gain insights into detector behavior and performance.
| Experiment context, if any | CMS experiment |
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