• DocumentCode
    986485
  • Title

    FutureDAQ for CBM: on-line event selection

  • Author

    Essel, H.G.

  • Author_Institution
    Gesellschaft fur Schwerionenforschung mbH, Darmstadt, Germany
  • Volume
    53
  • Issue
    3
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    677
  • Lastpage
    681
  • Abstract
    At the upcoming new Facility for Antiproton and Ion Research FAIR at GSI the Compressed Baryonic Matter experiment CBM requires a new architecture of front-end electronics, data acquisition, and event processing. The detector systems of CBM are a Silicon Tracker System (STS), RICH detectors, a TRD, RPCs, and an electromagnetic calorimeter. The envisioned interaction rate of 10 MHz will produce a data rate of up to 1 TByte/s. Because of the complexity and variability of trigger decisions no common trigger will be applied. Instead, the front-end electronics of all detectors will be self-triggered and marked by time stamps. The full data rate must be switched through a high speed network fabric into a computational network with configurable processing resources for event building and filtering. The decision for selecting candidate events requires tracking, primary vertex reconstruction, and secondary vertex finding in the STS at the full interaction rate. The essential performance factor is now computational throughput rather than decision latency, which results in a much better utilization of the processing resources especially in the case of heavy ion collisions with strongly varying multiplicities. The development of key components is supported by the FutureDAQ project of the European Union (FP6 I3HP JRA1).
  • Keywords
    Cherenkov counters; data acquisition; high energy physics instrumentation computing; ionisation chambers; nuclear electronics; particle calorimetry; position sensitive particle detectors; silicon radiation detectors; transition radiation detectors; trigger circuits; FAIR; FutureDAQ project; GSI; RICH detectors; RPCs; STS; Silicon Tracker System; TRD; compressed baryonic matter experiment; computational network; computational throughput; configurable processing resources; data acquisition; detector systems; electromagnetic calorimeter; envisioned interaction rate; essential performance factor; event processing; front-end electronics; heavy ion collisions; high speed network fabric; primary vertex reconstruction; secondary vertex finding; self-triggered detector; strongly varying multiplicities; time stamps; trigger decisions complexity; trigger decisions variability; Computer networks; Data acquisition; Delay; Detectors; Fabrics; Filtering; High-speed networks; Silicon; Sociotechnical systems; Throughput; Data acquisition; multiprocessor interconnection; triggering;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2006.873533
  • Filename
    1644924