• DocumentCode
    1554267
  • Title

    Online track processor for the CDF upgrade

  • Author

    Ciobanu, C. ; Gerstenslager, J. ; Hoftiezer, J. ; Hughes, R. ; Johnson, M. ; Koehn, P. ; Neu, C. ; Sanchez, C. ; Winer, B.L. ; Freeman, J. ; Holm, S. ; Lewis, J.D. ; Shaw, T. ; Wesson, T. ; Bloom, K. ; Gerdes, D. ; Dawson, J.W. ; Haberichter, W.N.

  • Author_Institution
    Ohio State Univ., Columbus, OH, USA
  • Volume
    46
  • Issue
    4
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    933
  • Lastpage
    939
  • Abstract
    A trigger track processor is being designed for the CDF upgrade. This processor identifies high momentum (PT>1.5 GeV/c) charged tracks in the new central outer tracking chamber for CDF II. The track processor is called the eXtremely Fast Tracker (XFT). The XFT design is highly parallel to handle the input fate of 183 Gbits/sec and output rate of 44 Gbits/sec. The processor is pipelined and reports the results for a new event every 132 ns. The processor uses three stages, hit classification, segment finding, and segment linking. The pattern recognition algorithms for the three stages are implemented in programmable logic devices (PLDs) which allow for in-situ modification of the algorithm at any time. The PLDs reside on three different types of modules. Prototypes of each of these modules have been designed and built, and are presently undergoing testing. An overview of the track processor and results of testing are presented
  • Keywords
    drift chambers; nuclear electronics; pattern recognition; programmable logic devices; trigger circuits; CDF upgrade; central outer tracking chamber; hit classification; in-situ modification; online track processor; pattern recognition algorithms; programmable logic devices; segment finding; segment linking; trigger track processor; Councils; Detectors; Joining processes; Laboratories; Mesons; Pattern recognition; Physics; Process design; Programmable logic devices; Testing;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.790707
  • Filename
    790707