Summary of Parallel Session on

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Summary of Parallel Session on Offline Data
Processing J. Urheim Sunday, July 14 2002

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Initial Goals of Processing

• Work out the technical aspects
• FNAL batch farms, set up infrastructure (A.
  Sousa, H. Rubin)
• Offline software performance, robustness
• Provide output that is useful for collaborators
• Try to process all events, minimal filtering
• Set up to do nearly real-time processing for
  quick turnaround
• Output should be useful for further development
  of reconstruction ? should contain raw data
  candidates
• Output should be useful for higher-level data
  analysis ?output ntuple(s)?

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The MINOS Farm Processing Infrastructure A.
Sousa
Work done in collaboration with Howie, Liz and
Jon.

Overview

• Develop an infrastructure for the MINOS
  Production Data Processing
• Automate the Production Data Processing setting
  up for two modes of operation
• Run through the full data sample
• Run on data files as they become available
• System to be setup using the Fermilab Fixed
  Target Farm (fnsfo) NuMi, KTeV,
  HyperCP(E871)...

http//mixcoatl.phy.tufts.edu/asousa/production/pr
oduction.html
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The MINOS Farm Processing Infrastructure A.
Sousa


The Farm Processing Block Diagram
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Benchmarking of Reconsn s/w R. Lee

• It is possible to keep up with data taking
• Both R. Lee Indiana are currently doing this.
• Has led to some performance improvments
• But will slow down when B field turns on

some benchmarking results from Roy
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Calibration Components J. Musser

• Offline Framework ?
• Timing Calibration ?
• T0
• Timewalk
• Charge Calibration
• Drift Point
• Non-Linearity
• Inter-Strip Calibration/Response Flattening ?
• Inter-Detector (Stopping muons)
• CalDet Energy Calibration
• Alignment

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CalDet Data Processing

• CalDet requirements differ
• Main goal is to put data in form so as to reduce
  overhead on additional offline event
  reconstruction.
• ? triggering, applicatn of calibrations, etc.
• Benchmarks from Mike Kordosky

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Questions Issues

• What to run?
• DigitListModule - yes!
• DeMuxCosmicsModule - yes!
• TrackSR et al. - yes!
• BubbleSpeak - yes!
• what else ?
• Which candidates do we write out ?
• Do we write out an ntuple ?
• Do we do any filtering ?
• non-snarl records ?
• events with fewer than N planes with hits ? N
  ?
• Multiple output streams ?
• Event classification i.e., stopping muons, fully
  contained events, multiple muons, etc

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Effort needed !

• Offline Monitoring process(es)
• for quality control of reconstruction,
  calibration etc
• Event statistics ? go into event header
  record?
• what else ?
• Loose event classification software
• Good projects for graduate students/postdocs