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Benchmarking LHC background particle simulation with the CMS triple-GEM detector

Abbas, M.; Abbrescia, M.; Abdalla, H.; Abdelalim, A.; AbuZeid, S.; Agapitos, A.; Ahmad, A.; Ahmed, A.; Ahmed, W.; Aimè, C.; Aruta, C.; Asghar, I.; Aspell, P.; Avila, C.; Azhgirey, I.; Babbar, J.; Ban, Y.; Band, R.; Bansal, S.; ... mehr


In 2018, a system of large-size triple-GEM demonstrator chambers was installed in the CMS experiment at CERN's Large Hadron Collider (LHC). The demonstrator's design mimicks that of the final detector, installed for Run-3. A successful Monte Carlo (MC) simulation of the collision-induced background hit rate in this system in proton-proton collisions at 13 TeV is presented. The MC predictions are compared to CMS measurements recorded at an instantaneous luminosity of 1.5 ×10$^{34}$ cm$^{-2}$ s$^{-1}$. The simulation framework uses a combination of the FLUKA and GEANT4 packages. FLUKA simulates the radiation environment around the GE1/1 chambers. The particle flux by FLUKA covers energy spectra ranging from 10$^{-11}$ to 10$^{4}$ MeV for neutrons, 10$^{-3}$ to 10$^{4}$ MeV for γ's, 10$^{-2}$ to 10$^{4}$ MeV for e$^{±}$, and 10$^{-1}$ to 10$^{4}$ MeV for charged hadrons. GEANT4 provides an estimate of the detector response (sensitivity) based on an accurate description of the detector geometry, the material composition, and the interaction of particles with the detector layers. The detector hit rate, as obtained from the simulation using FLUKA and GEANT4, is estimated as a function of the perpendicular distance from the beam line and agrees with data within the assigned uncertainties in the range 13.7-14.5%. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000142416
Veröffentlicht am 27.01.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1748-0221
KITopen-ID: 1000142416
Erschienen in Journal of Instrumentation
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 16
Heft 12
Seiten Art.-Nr.: P12026
Nachgewiesen in Web of Science
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