• DocumentCode
    469618
  • Title

    The GigaFitter for fast track fitting based on FPGA DSP arrays

  • Author

    Amerio, S. ; Bettini, M. ; Catastini, P. ; Ciocci, M.A. ; Cortiana, G. ; Crescioli, F. ; Dell´Orso, M. ; Donini, J. ; Giannetti, P. ; Greco, V. ; Lucchesi, D. ; Nicoletto, M. ; Griso, S. Pagan ; Piendibene, M. ; Sartori, L. ; Scribano, A. ; Squillacioti,

  • Author_Institution
    Padova Univ., Padova
  • Volume
    3
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    2115
  • Lastpage
    2117
  • Abstract
    The silicon-vertex-trigger (SVT) at CDF is made of two pipelined processors: the associative-memory, AM, finding low precision tracks (roads) and the track-fitter, TF, refining the track quality with high-precision fits. We describe a next generation track fitter, the GigaFitter, that performs more than a fit per nanosecond. This device is based on modern FPGA technology, rich of powerful DSP arrays, to reduce the track parameter reconstruction to few clock cycles and to perform many fits in parallel. The reduction to virtually zero of the time necessary for the fit is the goal to be achieved in order to maximize the computing power for high resolution tracking at very high rate. The GigaFitter will enhance the SVT capabilities during the high luminosity CDF final data taking and could be used in future experiments as well.
  • Keywords
    field programmable gate arrays; high energy physics instrumentation computing; nuclear electronics; position sensitive particle detectors; silicon radiation detectors; FPGA DSP arrays; GigaFitter; associative-memory processor; fast track fitting; high luminosity CDF data taking; silicon vertex trigger; track-fitter processor; Clocks; Digital signal processing; Digital signal processing chips; Field programmable gate arrays; Hardware; Linear approximation; Logic; Nuclear and plasma sciences; Roads; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4436571
  • Filename
    4436571