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Performing track reconstruction at the ALICE TPC using a fast Hough Transform method

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Abstract

The Hough Transform algorithm is a popular image analysis method that is widely used to perform global pattern recognition in images through the identification of local patterns in a suitably chosen parameter space. The algorithm can also be used to perform track reconstruction; to estimate the trajectory of individual particles when passed through the active elements of a detector volume. This paper presents a fast reconstruction method for the Time Projection Chamber (TPC) of the ALICE experiment at LHC. The method, that combines a linear Hough Transform algorithm with a fast filling of the Hough Transform parameter space, is developed within AliceO2, the new computing framework of ALICE for RUN3.

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Authors and Affiliations

  1. European Laboratory for Particle Physics, CERN, 1211, Geneve 23, Switzerland

    Charalampos S. Kouzinopoulos & Peter Hristov

Authors
  1. Charalampos S. Kouzinopoulos
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  2. Peter Hristov
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Correspondence to Charalampos S. Kouzinopoulos or Peter Hristov.

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Kouzinopoulos, C.S., Hristov, P. Performing track reconstruction at the ALICE TPC using a fast Hough Transform method. Phys. Part. Nuclei Lett. 13, 654–658 (2016). https://doi.org/10.1134/S1547477116050137

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  • DOI: https://doi.org/10.1134/S1547477116050137

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