<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

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

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2021 Germany, Germany, Italy Publisher:IOP PublishingJournal:Journal of Instrumentation, volume 16, page P12026 (eissn: 1748-0221,

Authors: Abbas, M.; Abbrescia, M.; Abdalla, H.; Abdelalim, A.; AbuZeid, S.; Agapitos, A.; Ahmad, A.; +191 Authors

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.; Benussi, L.; Bhatnagar, V.; Bianco, M.; Bianco, S.; Black, K.; Borgonovi, L.; Bouhali, O.; Bozzato, D.; Braghieri, A.; Braibant, S.; Butalla, S.; Calzaferri, S.; Caponero, M.; Cassese, F.; Castaneda, A.; Cavallo, N.; Chauhan, S.; Colaleo, A.; CondeÂ ; Garcia, A.; Dalchenko, M.; DeÂ ; Iorio, A.; DeÂ ; Lentdecker, G.; DellÂ ; Olio, D.; DeÂ ; Robertis, G.; Dharmaratna, W.; Dildick, S.; Dorney, B.; Erbacher, R.; Fabozzi, F.; Fallavollita, F.; Ferraro, A.; Fiorina, D.; Fontanesi, E.; Franco, M.; Galloni, C.; Gancarcik, D.; Giacomelli, P.; Gigli, S.; Gilmore, J.; Gola, M.; Gruchala, M.; Gutierrez, A.; Hadjiiska, R.; Hakkarainen, T.; Hauser, J.; Hoepfner, K.; Hohlmann, M.; Hoorani, H.; Huang, T.; Iaydjiev, P.; Irshad, A.; Iorio, A.; Ivone, F.; Jang, W.; Jaramillo, J.; Jha, V.; Juodagalvis, A.; Juska, E.; Kailasapathy, B.; Kamon, T.; Kang, Y.; Karchin, P.; Kaur, A.; Kaur, H.; Keller, H.; Kim, H.; Kim, J.; Kim, S.; Ko, B.; Kumar, A.; Kumar, S.; Kumawat, H.; Kurochkin, I.; Lacalamita, N.; Lee, J.; Levin, A.; Li, Q.; Licciulli, F.; Lista, L.; Liyanage, K.; Loddo, F.; Luhach, M.; Maggi, M.; Maghrbi, Y.; Majumdar, N.; Malagalage, K.; Malhotra, S.; Mallows, S.; Martiradonna, S.; Mccoll, N.; McLean, C.; Merlin, J.; Misheva, M.; Mishra, D.; Mocellin, G.; Moureaux, L.; Muhammad, A.; Muhammad, S.; Mukhopadhyay, S.; Naimuddin, M.; Netrakanti, P.; Nuzzo, S.; Oliveira, R.; Pant, L.; Paolucci, P.; Park, I.; Passamonti, L.; Passeggio, G.; Peck, A.; Pellecchia, A.; Perera, N.; Petre, L.; Petrow, H.; Piccolo, D.; Pierluigi, D.; Raffone, G.; Rahmani, M.; Ramirez, F.; Ranieri, A.; Rashevski, G.; Regnery, B.; Ressegotti, M.; Riabchikova, A.; Riccardi, C.; Rodozov, M.; Romano, E.; Roskas, C.; Rossi, B.; Rout, P.; Roy, D.; Ruiz, J.; Russo, A.; Safonov, A.; Sahota, A.; Saltzberg, D.; Saviano, G.; Shah, A.; Sharma, A.; Sharma, R.; Sheokand, T.; Shopova, M.; Simone, F.; Singh, J.; Sonnadara, U.; Starling, E.; Stone, B.; Sturdy, J.; Sultanov, G.; Szillasi, Z.; Teague, D.; Teyssier, D.; Tuuva, T.; Tytgat, M.; Vai, I.; Vanegas, N.; Venditti, R.; Verwilligen, P.; Vetens, W.; Virdi, A.; Vitulo, P.; Wajid, A.; Wang, D.; Wang, K.; Watson, I.; Wickramage, N.; Wickramarathna, D.; Yang, S.; Yang, Y.; Yang, U.; Yongho, J.; Yoon, I.; You, Z.; Yu, I.; Zaleski, S.;

doi: 10.1088/1748-0221/16/12/p12026 , 10.5445/ir/1000142416 , 10.18154/rwth-2022-03059

handle: 11568/1274948 , 11589/257304 , 11563/158853 , 11571/1477349

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

- Summary
- Subjects
- Related research
  (1)
- Metrics

Abstract

Abstract 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 ×1034 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 104 MeV for neutrons, 10-3 to 104 MeV for γ's, 10-2 to 104 MeV for e±, and 10-1 to 104 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%. This simulation framework can be used to obtain a reliable estimate of the background rates expected at the High Luminosity LHC.

Countries

Germany, Germany, Italy

Related Organizations

Bhabha Atomic Research Centre
India
Alma Mater Studiorum University of Bologna
Italy
University of Delhi
India
Université Libre de Bruxelles
Belgium
Academy of Scientific Research and Technology
Egypt

View all View all

Keywords

MICROPIC, micromegas, Detector modelling and simulations II (electric fields, mhsp, etc.), detector modelling and simulations II (electric fields, Micropattern gaseous detectors (MSGC, GEM, THGEM, RETHGEM, MHSP, MICROPIC, MICROMEGAS, InGrid, etc), rethgem, info:eu-repo/classification/ddc/530, info:eu-repo/classification/ddc/610, Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc), GEM, Interaction of radiation with matter, CMS, Physics, ddc:530, micropic, Settore FIS/01 - Fisica Sperimentale, interaction of photons with matter, Detector modelling and simulations II (electric fields, charge transport, multiplication and induction, pulse formation, electron emission, etc), interaction of hadrons with matter, MICROMEGAS, MHSP, GEANT, numerical calculations: Monte Carlo, p p: scattering, pulse formation, gem, Detector modelling and simulations I (interaction of radiation with matter, energy spectrum, 610, 530, programming, FLUKA, Micropattern gaseous detectors (MSGC, Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc.); interaction of radiation with matter; micropattern gaseous detectors (msgc, gem, thgem, rethgem, mhsp, micropic, micromegas, ingrid, etc.); detector modelling and simulations II (electric fields, charge transport, multiplication and induction, pulse formation, electron emission, etc.), etc), multiplication and induction, background, interaction of radiation with matter, Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc); Interaction of radiation with matter; Micropattern gaseous detectors (MSGC, GEM, THGEM, RETHGEM, MHSP, MICROPIC, MICROMEGAS, InGrid, etc); Detector modelling and simulations II (electric fields, charge transport, multiplication and induction, pulse formation, electron emission, etc), InGrid, RETHGEM, charge transport, thgem, electron emission, gas electron multiplier, ingrid, THGEM, micropattern gaseous detectors (msgc

1 Research products, page 1 of 1

Modeling the triple-GEM detector response to background particles for the CMS Experiment
2021IsAmongTopNSimilarDocuments

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average