DAQ 100 - (Jeff Landgraf) - PowerPoint PPT Presentation

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DAQ 100 - (Jeff Landgraf)

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Smaller RMS distance from global track to hits. More short tracks (more track splitting) ... Responsibility for evaluation of the cluster finder should ... – PowerPoint PPT presentation

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Title: DAQ 100 - (Jeff Landgraf)


1
DAQ 100 - (Jeff Landgraf)
  • Only write clusters to .daq files
  • Remove some current bottlenecks in DAQ
  • - Cluster finder optimization
  • - Formatting optimization / bypass
  • - Formatting buffer management

This Gives us
  • 5-fold reduction in data size
  • High instantaneous rates approaching
  • 100 Hz (Min Bias 50MB/sec)
  • 50 Hz (Central 100MB/sec)
  • Better dead time management
  • Last year 20 Hz MinBias ? 80-100 dead
  • This year 20 Hz MinBias ? 20 dead
  • Full buffered use of the 30 MB/sec (2.7 TB/day)
    HPSS link
  • Could approach 1.3 million Central/day
  • 5 million MinBias/day

Last years record 2.0 TB 210,000
Central events
2
  • STATUS
  • DAQ technical bottlenecks
  • Cluster finder optimization (done)
  • Formatting optimization / bypass (done)
  • Formatting / cluster buffer management (done)
  • Second myrinet card on BB (done)
  • Study Disks on BB (done / not implemented)
  • Clustering / interface issues
  • Cluster finder ? Offline Chain (done)
  • Cluster finder physics evaluation
    (ongoing)
  • Gain Corrections and T0 corrections need to be
    done online
  • Mechanism inside DAQ exists
  • Need procedures for the corrections
    (august)
  • (Automated manual)
  • Need procedures for monitoring them
  • (Automated in EVP Shift requirements)
  • Offline chain needs to be aware of correction
    status

3
Comparison between DAQ / TCL
cluster finders
/t3 (daq) /t4 (tcl)
nEvents 9123 9123
nReconstructed 9011 9120
nVtx 5243 5310
nGlobal 6.28E6 6.46E6
nPrimary 2.54E6 2.54E6
4
DAQ cluster finder gets
  • More events with large number of primary tracks
  • Fewer events with large number of global tracks

5
DAQ Cluster finder gets
  • Smaller RMS distance from global track to hits
  • More short tracks (more track splitting)
  • Better peak for long tracks

Why? Consistent with wide distribution of
tracking cuts in tcl
6
2-Hit Resolution (Fabrice Retiere)
7
Track Splitting (Mercedes Noriega)
8
Track Merging (Mercedes Noriega)
9
Correlation Functions (Mercedes Noriega)
3D correlation functions
10
  • Summary
  • We should be able to turn on clusters for next
    run.
  • Initial studies on the quality of the clusters
    are promising
  • Responsibility for evaluation of the cluster
    finder should
  • be (and is) moving to the physics groups
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