Description and Performance of Track and Primary-Vertex Reconstruction With the Cms Tracker
Loading...
Date
Authors
Demir, Durmuş Ali
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
HYBRID
Green Open Access
Yes
OpenAIRE Downloads
133
OpenAIRE Views
124
Publicly Funded
Yes
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 t (t) over bar events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p(T) > 0.9GeV is 94% for pseudorapidities of vertical bar eta vertical bar < 0.9 and 85% for 0.9 < vertical bar eta vertical bar < 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 p(T) = 100GeV emitted at vertical bar eta vertical bar < 1.4, the resolutions are approximately 2.8% in p(T), and respectively, 10 m m and 30 mu m in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10-12 mu m 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.
Description
Keywords
Pattern recognition, Large detector-systems performance, High energy physics, Technology, Physics - Instrumentation and Detectors, large detector-systems performance, Performance of High Energy Physics Detector, Pattern recognition, cluster finding, calibration and fitting methods, Large detector-systems performance, Performance of High Energy Physics, Detectors, SILICON PIXEL SENSORS, PATTERN-RECOGNITION, SIMULATION, DETECTOR, DESIGN, EVENT, CHIP, 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, 570, p p: scattering, Design, track data analysis: efficiency, Chip, 610, FOS: Physical sciences, Silicon Pixel Sensors, 530, 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
Fields of Science
01 natural sciences, 0103 physical sciences
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
406
Volume
9
Issue
Start Page
End Page
PlumX Metrics
Citations
CrossRef : 216
Captures
Mendeley Readers : 290
Google Scholar™


