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Tracker Software Review: Meeting 5

Wednesday, August 2, 1500 BST (0900 CDT)

Agenda

  1. Introduction - K. Long
  2. Actions from previous meetings
    1. AD: Compare data/MC efficiencies for 8681
    2. CR: Generate list of uncertainties and show what has been done so far (alignment, scattering, energy loss, field uniformity, etc).
    3. PK: Check dead channel & noise handling in MC.
    4. AD: pattern recognition/efficiency:
      1. Study “10%” of missing 5-point tracks; where in the p.r. does the missing point get rejected?
      2. Scan events in which 5-point tracks are rejected
      3. Remove requirement for one hit per station in data and study performance. Also, study multi-track MC
      4. Plot Chi2 distributions etc. on log scale (to emphasize tails)
      5. Optimize Chi2 cut for “MINUIT” variant
      6. Understand reasons for shape of hits-per-station histogram
      7. With KL, review s-z algorithm
    5. CH: track fit:
      1. Repeat study that was done to investigate whether field integration (e.g. using Runge Kutta) is required to compensate for magnetic field non-uniformity
      2. Make study of magnetic-field alignment with a view to establishing whether the present algorithm is sufficiently insensitive to reasonable assumptions of maximum field-misalignment
      3. Check Highland and Bethe against what is implemented in GEANT
        1. agree very well. simulated indiv structures, stations, good agreement
      4. Study p-value: split up contributions to p-value shape using MC and study shape in data, e.g. is there an error in the resolution per plane, handling of MCS, handing of energy loss, magnetic field, …
  1. Report on actions: Pattern recognition: A. Dobbs
  2. Report on actions: Track fit: C. Hunt
  3. Next Steps for review
  4. AoB

Dial-in information

http://mice.iit.edu/phonebridge.html


Attendance: KL, CR, PK, AD, CH, MU, DR

Notes:

Actions removed:
  • Study “10%” of missing 5-point tracks; where in the p.r. does the missing point get rejected?
  • Scan events in which 5-point tracks are rejected
  • It may be necessary to revisit those again after fit optimizations are complete
  • Remove requirement for one hit per station in data and study performance. Also, study multi-track MC
    • AD reported that relaxing the requirement had little effect on performance
    • Multi-track MC study is blocked since the MC does not simulate multiple triggers
  • Plot Chi2 distributions etc. on log scale (to emphasize tails)
    • Done

Actions generated

  1. Show distributions with sign per station per tracker
  2. Show individual residual distributions to understand details - is the station 1 distribution a binning artifact or a constraint from the fit?
  3. run analysis in MC and compare with data (8681)

Updated by Rajaram, Durga almost 6 years ago · 9 revisions