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
Link To Document :
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