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Measuring L0 and L1 trigger efficiencies with “DATA”. L0: Hadronic channels: Take  -triggered events How often did hadron trigger trigger? Muon channels: Vice versa L1: Consider L1 global variable from B-tracks Look at events that passed due to non-B tracks. L0 hadron.

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measuring l0 and l1 trigger efficiencies with data
Measuring L0 and L1 trigger efficiencies with “DATA”
  • L0:
    • Hadronic channels:
      • Take -triggered events
      • How often did hadron trigger trigger?
    • Muon channels:
      • Vice versa
  • L1:
    • Consider L1 global variable from B-tracks
      • Look at events that passed due to non-B tracks

N.Tuning

l0 hadron
L0 hadron
  • 200k Bh+h- events
  • Use MC:
    • 47.0 +/- 0.1% pass L0 h
  • Use “DATA”
    • 54.1 +/- 0.5% pass L0 h, if events passed L0 .
  •  L0 hadron and L0  NOT independent!
    • L0  selects hard events

N.Tuning

l0 muon
L0 muon
  • Similar story for the L0  efficiency
    • Hadron selected events have higher L0  efficiency.

N.Tuning

l1 tracks
L1 tracks
  • ‘Updated’ plot
    • Bug: did not take into account the oscillations B0d-K+ intoB0dK-+
  • L1:
    • 60.2% =2 tracks from signal B
    • 22.9%1 track from other B
    • 16.9% =1 signal B-track, 1 non-B track
    • 0.6% =2 non-B tracks

N.Tuning

tagging efficiency
Tagging efficiency
  • “Triggered on other B” means now:
    • >1 track from other B, and NOT from signal B.

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l1 efficiency
L1 efficiency
  • Consider sample where the (signal) B-tracks could have triggered
  • Measure L1 trigger efficiency:
    • Take sample that could have triggered on non-B tracks (5.4%)
    • Measure how often (signal) B-tracks passed L1.
  • Assumptions:
    • Offline analysis uses only events where B-tracks could have triggered
    • 2 B-tracks and 2 non-B tracks are independent
      • Almost true… : Out of all L1 rejected events, 0.4% would have passed with B-tracks

N.Tuning

conclusions
Conclusions
  • Extracting L0 efficiency is not as easy as I thought…
    • Maybe need random events?
  • First try to extract L1 efficiency
    • 2% (abs) statistical uncertainty on data of ~0.1 year

N.Tuning