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.
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References
R. Mankel, Hera-b note 97-082, ranger-a Pattern Recognition Algorithm for the HERA-B Main Tracking System
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)
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© 2003 Springer-Verlag Berlin Heidelberg
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Medin, G. (2003). Tracking in a High Rate Environment. In: Trampetić, J., Wess, J. (eds) Particle Physics in the New Millennium. Lecture Notes in Physics, vol 616. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36539-7_37
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DOI: https://doi.org/10.1007/3-540-36539-7_37
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00711-1
Online ISBN: 978-3-540-36539-6
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