1 / 8

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. L0 hadron.

woods
Télécharger la présentation

Measuring L0 and L1 trigger efficiencies with “DATA”

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 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

  2. 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

  3. L0 muon • Similar story for the L0  efficiency • Hadron selected events have higher L0  efficiency. N.Tuning

  4. 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

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

  6. 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

  7. B++K0Sand B0d-K+ • . N.Tuning

  8. 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

More Related