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Tracker Software Review: Meeting 3

Monday, June 19, 1500 BST (0900 CDT)

Agenda

  1. Introduction - K. Long
  2. Actions from previous meeting
    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 emphasise tails)
      5. Optimise Chi2 cut for “MINUIT” variant
      6. Recover reasons for shape of hits-per-station histogram
      7. Plot NPE, pull etc. by station (done, but not presented)
      8. Investigate reason for hits recovered on track being peaked up at “zero” distance from the track in both variants of the r-phi fit. Investigate reason for double peak in MINUIT variant
      9. Reproduce VB mechanical angular momentum plot and demonstrate the issue observed (loss of tracks with zero canonical angular momentum) using MAUS 2.7
      10. Demonstrate using VB selection etc. that the effect is absent in the MINUIT variant of MAUS 2.9
      11. With KL, review s-z algorithm
    5. CH: track fit:
      1. With CR/DR, establish reasons for differences between p-value in versions 2.8.5 and 2.9.0
      2. Check Highland and Bethe against what is implemented in GEANT
      3. 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, …
      4. Repeat study that was done to investigate whether field integration (e.g. using Runge Kutta) is required to compensate for magnetic field non-uniformity
      5. 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. Report on actions: Pattern recognition: A. Dobbs
  4. Report on actions: Track fit: C. Hunt
  5. Next Steps for review
  6. AoB

Additional documentation


Minutes & Actions from previous meeting (May 26, 2017)


Dial-in information

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


Updated by Rajaram, Durga almost 6 years ago · 10 revisions