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Article Dans Une Revue Journal of Instrumentation Année : 2014

Description and performance of track and primary-vertex reconstruction with the CMS tracker

S. Chatrchyan
  • Fonction : Auteur
P. Busson
R. Granier de Cassagnac
C. Mironov
P. Paganini
J.-L. Agram
C. Collard
E. Conte
P. van Hove
D. Contardo
M. Gouzevitch
M. Lethuillier
V. Sordini
P. Verdier

Résumé

A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For ttbar events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of pt > 0.9 GeV is 94% for pseudorapidities of abs(eta) < 0.9 and 85% for 0.9 < abs(eta) < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of pt = 100 GeV emitted at abs(eta) < 1.4, the resolutions are approximately 2.8% in pt, and respectively, 10 microns and 30 microns in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10-12 microns in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung.

Dates et versions

in2p3-00996805 , version 1 (27-05-2014)

Identifiants

Citer

S. Chatrchyan, S. Baffioni, F. Beaudette, P. Busson, C. Charlot, et al.. Description and performance of track and primary-vertex reconstruction with the CMS tracker. Journal of Instrumentation, 2014, 9, pp.P10009. ⟨10.1088/1748-0221/9/10/P10009⟩. ⟨in2p3-00996805⟩
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