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Track identification in high energy physics

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3 Author(s)
D. Primor ; Sch. of Electr. Eng., Tel Aviv Univ. ; G. Mikenberg ; H. Messer

The new particle accelerators and detectors create a challenging processing environment, characterized by huge mass of recorded data of which only small part is of scientific interest. This paper addresses the problem of muon track identification in a cathode strip chamber (CSC), which is a part of the ATLAS detector. We suggest a new "detect-before-estimate" approach, which first detect the particle and then estimate its hit locations. In a presence of high background noise, this approach can significantly save computing time. We use a modification of the Hough transform and we show that using the appropriate transform parameters, the line detection performance is sufficiently close to the theoretical detection performance, based on a statistical model specially developed for this problem

Published in:

IEEE/SP 13th Workshop on Statistical Signal Processing, 2005

Date of Conference:

17-20 July 2005