80 likes | 198 Views
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.
E N D
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 • 200k Bh+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 • Similar story for the L0 efficiency • Hadron selected events have higher L0 efficiency. N.Tuning
L1 tracks • ‘Updated’ plot • Bug: did not take into account the oscillations B0d-K+ intoB0dK-+ • 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 • “Triggered on other B” means now: • >1 track from other B, and NOT from signal B. N.Tuning
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
B++K0Sand B0d-K+ • . N.Tuning
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