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Hit and Tracking

Hit and Tracking. Data set used: Pythia p+p Hijing b<3 simulations Usually, absolute value of efficiency is too ideal … comparisons between current code & IT From loose to tight cuts Look at midrapidity (|eta|<0.5) mainly Accepted MC tracks == 10 MC Hits at least

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Hit and Tracking

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  1. Hit and Tracking • Data set used: • Pythia p+p • Hijing b<3 simulations • Usually, absolute value of efficiency is too ideal • … comparisons between current code & IT • From loose to tight cuts • Look at midrapidity (|eta|<0.5) mainly • Accepted MC tracks == 10 MC Hits at least • Reconstructed track cuts: • Fit Points >= 10, no dca cut (3 cm for primaries) • Fit Points >=10, dca < 1 cm • Fit Points >= 24, dca < 1cm

  2. Fit Points, Last Review • Current Tracker • Integrated Tracker, Sep 02 Loose cuts: All mult, |eta|<1.5, dca<3, Fit Pts>9

  3. Fit Points, Low Multiplicity Cuts: |dca<1, Fit Pts>=10

  4. Fit Points, Now Cuts: Central Hijing Global dca<1, Fit Pts>=10 Integral normalized to 1

  5. Fit Points, Now Cuts: Central Hijing, |eta|<1.5, Global dca<1, Fit Pts>=24

  6. “Efficiency” vs Multiplicity, last review Here, efficiency is: All Matched Tracks All MC Tracks (even MC tracks Not in acceptance) So, absolute scale Much worse than True efficiency. • Current Tracker • Integrated Tracker

  7. “Efficiency” vs Multiplicity, Pions Here, efficiency is: Matched Tracks Thrown MC Tracks (even MC tracks Not in acceptance) So, really Effic*accept. Pythia, p+p Hijing, AuAu b<3 fm

  8. “Efficiency” vs Multiplicity, Kaons Here, efficiency is: Matched Tracks Thrown MC Tracks (even MC tracks Not in acceptance) So, really Effic*accept.

  9. “Efficiency” vs Multiplicity, Protons Here, efficiency is: Matched Tracks Thrown MC Tracks (even MC tracks Not in acceptance) So, really Effic*accept.

  10. Efficiency vs pT, last review Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses • Current Tracker • Integrated Tracker

  11. Efficiency vs pT, Low Mult, loose cuts Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses At low multiplicity Things look OK…

  12. Efficiency vs pT, High Mult, loose cuts Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses

  13. Efficiency vs pT, High Mult, tighter dca Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses

  14. … and tighter fit points Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses Cuts like those used in identified spectra papers

  15. Efficiency vs eta, tight cuts Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses Cuts like those used in identified spectra papers

  16. Data Comparison, ITTF/TPT yields Here, Zhangbu used: Fit Points >= 15 For the highest multiplicity, Sti finds ~80% of the tracks found by the old tracker.

  17. Data Comparison, ITTF/TPT yields Here, Zhangbu used: Fit Points >= 15 The ~80% improves as h approaches 1 (but then decreases)

  18. Snapshot and Areas to improve • Shape of distributions are similar to current tracker • Mean Fit Points shows similar trends with multiplicity, pt and eta • Shape at low fit points shows no bump from the large eta • Efficiency is still low comparted to current tracker • New tracker shows stronger multiplicity dependence • Large eta tracking needs tuning (see also Andrew’s talk)

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