Publication: Description and performance of track and primary-vertex reconstruction with the CMS tracker
Loading...
Date
Advisor
Department
Journal Title
Journal ISSN
Volume Title
Publisher
IOP Publishing
Type
Abstract
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.
Replaced with published version. Added journal reference and DOI
Replaced with published version. Added journal reference and DOI
Description
Journal or Series
Journal of Instrumentation
ISSN
ISBN
Rights
OPEN
Keywords
Technology, Physics - Instrumentation and Detectors, large detector-systems performance, Performance of High Energy Physics Detector, Large detector systems - performance, Particle physics, Large hadron collider, CMS, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), Large detectorsystems performance, Pattern recognition, cluster finding, calibration and fitting methods, Performance of High Energy Physics Detectors, Instrumentation, Mathematical Physics, Design, cluster finding, ING-INF/01 - Elettronica, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], scattering [p p], tracking detector, momentum resolution, info:eu-repo/classification/ddc/530, Instruments & Instrumentation, Instrumentation, Mathematical Physics, info:eu-repo/classification/ddc/610, Large detector-systems performance, Performance of high energy physics detectors, CHIP, Pattern recognition, cluster finding, calibration and fitting methods, CMS, Physics, ddc:530, Detectors, Instrumentation and Detectors (physics.ins-det), calibration and fitting methods, primary [vertex], calibration and fitting method, Performance of High Energy Physics Detectors, Large detector-systems performance, Pattern recognition, cluster finding, calibration and fitting methods, Pattern recognition, cluster finding, calibration and fitting methods, Large detectorsystems performance, Performance of High Energy Physics Detectors, charged particle: trajectory, Simulation, Particle physics, vertex: primary, efficiency [track data analysis], SIGN, Particle Physics - Experiment, Simulation, performance, p p: scattering, Design, track data analysis: efficiency, Chip, FOS: Physical sciences, Silicon Pixel Sensors, programming, Fisica delle particelle, pattern recognition, cluster finding, calibration and fitting methods, Large detector-systems performance, Performance of High Energy Physics Detectors, Large detectorsystems performance, Pattern recognition, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Detector, spatial resolution, Pattern-recognition, Event, Calibration and fitting methods, Science & Technology, trajectory [charged particle], pattern recognition, Cluster finding, Silicon pixel sensors, Detector, Large detectorsystems performance, Pattern recognition, cluster finding, calibration and fitting methods, Performance of High Energy Physics Detectors, Instrumentation, Mathematical Physics, performance of High Energy Physics Detectors, trigger, Large hadron collider, LHC, CMS, Pattern recognition, Large detectorsystems performance, Pattern recognition, cluster finding, calibration and fitting methods, Performance of High Energy Physics Detectors, Performance of High Energy Physics, Physics and Astronomy, Event, pattern recognition, cluster finding, calibration, Pattern recognition, Cluster finding, Calibration and fitting methods, Large detector-systems performance, Performance of High Energy Physics Detectors, QC Physics / fizika, performance and high energy physics detector, PATTERN-RECOGNITION, Performance of High Energy Physics Detectors