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Another Approach to Track Reconstruction: Cluster Analysis

Wigner Research Centre for Physics, 1525 Budapest, Hungary
Universe 2019, 5(5), 105; https://doi.org/10.3390/universe5050105
Received: 19 March 2019 / Revised: 26 April 2019 / Accepted: 3 May 2019 / Published: 6 May 2019
(This article belongs to the Special Issue The Zimányi School and Analytic Hydrodynamics in High Energy Physics)
A novel combination of data analysis techniques is introduced for the reconstruction of primary charged particles and of daughters of photon conversions, created in high energy collisions. Instead of performing a classical trajectory building or an image transformation, efficient use of both local and global information is undertaken while keeping competing choices open. The measured hits in silicon-based tracking detectors are clustered with the help of a k-medians clustering. It proceeds by alternating between the hit-to-track assignment and the track-fit update steps, until convergence. The clustering is complemented with the possibility of adding new track hypotheses or removing unnecessary ones. A simplified model of a silicon tracker is employed to test the performance of the proposed method, showing good efficiency and purity characteristics. View Full-Text
Keywords: charged particle tracking; silicon trackers; cluster analysis charged particle tracking; silicon trackers; cluster analysis
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Siklér, F. Another Approach to Track Reconstruction: Cluster Analysis. Universe 2019, 5, 105.

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