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@INPROCEEDINGS{Alicke:245580,
      author       = {Alicke, Anna and Stockmanns, Tobias and Ritman, James},
      title        = {{T}rack {F}inding for the {PANDA} {D}etector {B}ased on
                      {H}ough {T}ransformations},
      journal      = {The European physical journal / Web of Conferences},
      volume       = {251},
      issn         = {2100-014X},
      address      = {Les Ulis},
      publisher    = {EDP Sciences},
      reportid     = {GSI-2021-01273},
      pages        = {04002},
      year         = {2021},
      note         = {This is an open access article distributed under the terms
                      of the Creative Commons Attribution License 4.0
                      (http://creativecommons.org/licenses/by/4.0/).},
      abstract     = {The PANDA experiment at FAIR (Facility for Antiproton and
                      Ion Research) in Darmstadt is currently under construction.
                      In order to reduce the amount of data collected during
                      operation, it is essential to find as many true tracks as
                      possible and to be able to distinguish them from false
                      tracks. Part of the preparation for the experiment is the
                      development of a fast online track finder. This work
                      presents an online track finding algorithm based on Hough
                      transformations, which is comparable in quality and
                      performance to the currently best offline track finder in
                      PANDA. In contrast to most track finders the algorithm can
                      handle the challenge of extended hits delivered by PANDA’s
                      central Straw Tube Tracker and thus benefit from its precise
                      spatial resolution. Furthermore, optimization methods are
                      presented that improved the ghost ratio as well as the speed
                      of the algorithm by 70 $\%.$ Due to further development
                      potential in terms of track finding for secondary particles
                      and speed optimization on GPUs, this algorithm promises to
                      exceed the quality and speed of other track finders
                      developed for PANDA.},
      month         = {May},
      date          = {2021-05-17},
      organization  = {25th International Conference on
                       Computing in High Energy and Nuclear
                       Physics (CHEP 2021), Virtual Event
                       hosted by CERN (USA), 17 May 2021 - 21
                       May 2021},
      cin          = {FFN / PANDA@FAIR},
      ddc          = {530},
      cid          = {I:(DE-Ds200)FFN-20210302OR452 /
                      I:(DE-Ds200)Coll-FAIR-PANDA},
      pnm          = {612 - Cosmic Matter in the Laboratory (POF4-612)},
      pid          = {G:(DE-HGF)POF4-612},
      experiment   = {$EXP:(DE-Ds200)Experiment_without_proposal_number-20200803$},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      UT           = {WOS:001329391600157},
      doi          = {10.1051/epjconf/202125104002},
      url          = {https://repository.gsi.de/record/245580},
}