CMS RPC tracker muon reconstruction

Goh, J.; Kim, M.S.; Ban, Y.; Cai, J.; Li, Q.; Liu, S.; Qian, S. J.; Wang, D.; Xu, Z.; Zhang, F.; Choi, Y.; Kim, Dongjae; Choi, S.; Hong, B.; Kang, J. W.; Kang, Min Ho; Kwon, Jang Hyuk; Lee, K.S.; Lee, S.K.; Park, S.K.; Pant, L. M.; Mohanty, A. K.; Chudasama, R.; Singh, J. B.; Bhatnagar, V.; Mehta, A.; Kumar, R.; Cauwenbergh, S.; Costantini, S.; Cimmino, A.; Crucy, S.; Fagot, A.; Garcı́a, G.; Ocampo, A.; Poyraz, D.; Salva, S.; Thyssen, F.; Tytgat, M.; Zaganidis, N.; Doninck, W. Van; Cabrera, A.; Chaparro, Luıs F.; Gomez, J. P.; Gómez, B.; Sanabria, J. C.; Ávila, C.; Ahmad, A.; Muhammad, S.; Shoaib, M.; Hoorani, H. R.; Awan, I.; Ali, I.; Ahmed, W.; Asghar, M. I.; Shahzad, H.; Sayed, A.; Ibrahim, A.; Ali, S.; Ali, Rahbar; Radi, A.; Elkafrawy, T.; Sharma, A.; Colafranceschi, S.; Abbrescia, M.; Calabria, C.; Colaleo, A.; Iaselli, G.; Loddo, F.; Maggi, M.; Nuzzo, S.; Pugliese, G.; Radogna, R.; Venditti, R.; Verwilligen, P.; Benussi, L.; Bianco, S.; Piccolo, D.; Paolucci, P.; Buontempo, S.; Cavallo, N.; Merola, M.; Fabozzi, F.; Iorio, O. M.; Braghieri, A.; Montagna, P.; Riccardi, C.; Salvini, P.; Vitulo, P.; Vai, I.; Magnani, A.; Dimitrov, A.; Litov, L.; Pavlov, B.; Petkov, P.; Aleksandrov, A.; Genchev, V.; Iaydjiev, P.; Rodozov, M.; Sultanov, G.; Vutova, M.; Stoykova, S.; Hadjiiska, R.; Ibarguen, H. Salazar; Morales, M. I. Pedraza; Bernardino, S. Carpinteyro; Bagaturia, I.; Tsamalaidze, Z.; Crotty, I.

doi:10.1088/1748-0221/9/10/c10027

Cited by 2 publications

(2 citation statements)

References 5 publications

(6 reference statements)

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“…To obtain the position of the muon trajectory in the RPC layers, the muon track is extrapolated using either the track parameters or the direction of the track segment from the closest other subdetector in the muon system. During the Run 2 data-taking periods, the analysis used both methods: the track [118] and segment [85] extrapolation.…”

Section: Rpc System Longevitymentioning

confidence: 99%

Development of the CMS detector for the CERN LHC Run 3

Hayrapetyan,

Tumasyan,

Adam

et al. 2024

J. Inst.

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Since the initial data taking of the CERN LHC, the CMS experiment has undergone substantial upgrades and improvements. This paper discusses the CMS detector as it is configured for the third data-taking period of the CERN LHC, Run 3, which started in 2022. The entire silicon pixel tracking detector was replaced. A new powering system for the superconducting solenoid was installed. The electronics of the hadron calorimeter was upgraded. All the muon electronic systems were upgraded, and new muon detector stations were added, including a gas electron multiplier detector. The precision proton spectrometer was upgraded. The dedicated luminosity detectors and the beam loss monitor were refurbished. Substantial improvements to the trigger, data acquisition, software, and computing systems were also implemented, including a new hybrid CPU/GPU farm for the high-level trigger.

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Section: Rpc System Longevitymentioning

confidence: 99%

Development of the CMS detector for the CERN LHC Run 3

Hayrapetyan,

Tumasyan,

Adam

et al. 2024

J. Inst.

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“…The tracker muons are reconstructed by propagating tracker tracks to find the matched segments in the muon system along its trajectory, considering the magnetic field and geometrical effects. Similarly, the RPCMuon [4] is reconstructed with the same algorithm, but requiring RPC hits for the muon identification. The results of extrapolation to RPC rolls are stored in the reconstructed muon object.…”

Section: Extrapolation Algorithmsmentioning

confidence: 99%

CMS RPC efficiency measurement using the tag-and-probe method

Goh¹,

Fagot²,

Gul³

et al. 2019

J. Inst.

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We measure the efficiency of CMS Resistive Plate Chamber (RPC) detectors in protonproton collisions at the centre-of-mass energy of 13 TeV using the tag-and-probe method. A muon from a Z 0 boson decay is selected as a probe of efficiency measurement, reconstructed using the CMS inner tracker and the rest of CMS muon systems. The overall efficiency of CMS RPC chambers during the 2016-2017 collision runs is measured to be more than 96% for the nominal RPC chambers. K : Performance of High Energy Physics Detectors; Resistive-plate chambers 3 Efficiency measurement using the tag-and-probe method 2 4 Conclusion 3

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CMS RPC tracker muon reconstruction

Cited by 2 publications

References 5 publications

Development of the CMS detector for the CERN LHC Run 3

Development of the CMS detector for the CERN LHC Run 3

CMS RPC efficiency measurement using the tag-and-probe method

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