Tracker Software Review: Meeting 2¶

May 26, 2017: 1400 BST¶

Agenda¶

1. Introduction - K. Long
2. Actions from previous meeting
   1. Compare data/MC efficiencies for 8681
   2. In adding unused spacepoint, show the distribution of distance of unused s.p & its correlation with #pe
   3. Low pt: Consider doing a straight track fit first and pass to Kalman if it passes chi2/other requirements
   4. Generate list of uncertainties and show what has been done so far (alignment, scattering, energy loss, field uniformity, etc)
   5. Check dead channel & noise handling in MC
3. Pattern recognition update: A. Dobbs tracker-recon-status.pdf, p-value, 8681, CR p-value.pdf
4. Kalman & track fitting overview: C. Hunt Track_fit_overview.pdf
5. Next Steps for review
6. AoB

Additional documentation¶

• Tracker Software Paper: attachment:"https://micewww.pp.rl.ac.uk/attachments/download/8741/MICE-Tracker-Software-Publication.pdf"

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Minutes from previous meeting (April 27, 2017)¶

• Attendance: KL, PK, DR, CR, DC, AD, MU, EO, AB

• Algorithm:
  DC: In determining #turns, do we have enough information to tell if there could be > 1 rotation between stations? Has such a restriction been imposed — can it be imposed — in selecting “ideal events”?

• Efficiency:
  DC: Does MC show the same pattern of lower TKD efficiency?
  — are dead channels and noise handled correctly in the MC?
  MU: Noise smearing added by Heidt; AD notes it’s not part of standard production
  KL: we don’t want to rely on the MC for this unless we really have to
  Action: Check dead channel & noise handling in MC
  Action: Check MC of this run 8681 & compare efficiencies with data

• Sources of error:
  CR: Need a list of sources of uncertainty: alignment, scattering, energy loss, field uniformity, etc and present what studies have been done — Action

• Unused spacepoints:
  DC: In adding unused spacepoint, show the distribution of distance of unused s.p & its correlation with #pe — Action

• Pt singularity:
  AB, DC: why not just run straight track fit 1st, if it satisfies chi2, then send to Kalman instead of trying to do a helical?
  Q: can Kalman reconstruct a helical from the straight?
  CH: Think so, if seeded properly.
  Action: This should be studied

Dial-in information¶

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

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