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Tracking in a High Rate Environment

  • Gordana Medin
Conference paper
  • 370 Downloads
Part of the Lecture Notes in Physics book series (LNP, volume 616)

Abstract

HERA-B, a fixed target experiment to study heavy flavour production in proton-nucleon interactions at HERA, has to cope with high particle densities. The reconstruction program for the main tracking system consisting of drift and microstrip gas chambers requires an efficient pattern recognition method. The method should be robust enough with respect to large occupancies and tracking detector imperfections like dead, inefficient and noisy channels. In this paper we present different track finding algorithms.

Keywords

Cellular Automaton Vertex Detector Pattern Recognition Algorithm Track Reconstruction Beam Pipe 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    R. Mankel, Hera-b note 97-082, ranger-a Pattern Recognition Algorithm for the HERA-B Main Tracking System Google Scholar
  2. 2.
    I. Abt, D. Emeliyanov, I. Gorbounov and I. Kisel, Cellular Automaton and Kalman Filter Based Track Search in the Pattern Tracker of the HERA-B (submitted to NIM A)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Gordana Medin
    • 1
  1. 1.Humboldt University in BerlinBerlin

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