Bibcode
Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Brondolin, E.; Dragicevic, M.; Erö, J.; Flechl, M.; Friedl, M.; Frühwirth, R.; Ghete, V. M.; Hartl, C.; Hörmann, N.; Hrubec, J.; Jeitler, M.; König, A.; Krätschmer, I.; Liko, D.; Matsushita, T.; Mikulec, I.; Rabady, D.; Rad, N.; Rahbaran, B.; Rohringer, H.; Schieck, J.; Strauss, J.; Waltenberger, W.; Wulz, C.-E.; Dvornikov, O.; Makarenko, V.; Mossolov, V.; Suarez Gonzalez, J.; Zykunov, V.; Shumeiko, N.; Alderweireldt, S.; De Wolf, E. A.; Janssen, X.; Lauwers, J.; Van De Klundert, M.; Van Haevermaet, H.; Van Mechelen, P.; Van Remortel, N.; Van Spilbeeck, A.; Abu Zeid, S.; Blekman, F.; D'Hondt, J.; Daci, N.; De Bruyn, I.; Deroover, K.; Lowette, S.; Moortgat, S.; Moreels, L.; Olbrechts, A.; Python, Q.; Skovpen, K.; Tavernier, S.; Van Doninck, W.; Van Mulders, P.; Van Parijs, I.; Brun, H.; Clerbaux, B.; De Lentdecker, G.; Delannoy, H.; Fasanella, G.; Favart, L.; Goldouzian, R.; Grebenyuk, A.; Karapostoli, G.; Lenzi, T.; Léonard, A.; Luetic, J.; Maerschalk, T.; Marinov, A.; Randle-conde, A.; Seva, T.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Yonamine, R.; Zenoni, F.; Zhang, F.; Cornelis, T.; Dobur, D.; Fagot, A.; Gul, M.; Khvastunov, I.; Poyraz, D.; Salva, S.; Schöfbeck, R.; Tytgat, M.; Van Driessche, W.; Yazgan, E.; Zaganidis, N.; Bakhshiansohi, H.; Bondu, O.; Brochet, S.; Bruno, G.; Caudron, A. et al.
Referencia bibliográfica
Journal of Instrumentation, Volume 12, Issue 10, pp. P10003 (2017).
Fecha de publicación:
10
2017
Número de citas
1000
Número de citas referidas
621
Descripción
The CMS apparatus was identified, a few years before the start of the
LHC operation at CERN, to feature properties well suited to
particle-flow (PF) reconstruction: a highly-segmented tracker, a
fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter,
a strong magnetic field, and an excellent muon spectrometer. A
fully-fledged PF reconstruction algorithm tuned to the CMS detector was
therefore developed and has been consistently used in physics analyses
for the first time at a hadron collider. For each collision, the
comprehensive list of final-state particles identified and reconstructed
by the algorithm provides a global event description that leads to
unprecedented CMS performance for jet and hadronic τ decay
reconstruction, missing transverse momentum determination, and electron
and muon identification. This approach also allows particles from pileup
interactions to be identified and enables efficient pileup mitigation
methods. The data collected by CMS at a centre-of-mass energy of 8\TeV
show excellent agreement with the simulation and confirm the superior PF
performance at least up to an average of 20 pileup interactions.