Bluebeam, Keystone & Miniskirt and Trigger Efficiency Study

1. Bluebeam, Keystone & Miniskirt and Trigger Efficiency Study Ye Li Physics Graduate Student UW - Madison

2. Updated datasets • Datasets: • bhmubd • bhmubh • bhmubi • bhmubj • bmubbd • bmubbh • bmubbi • Bmubbj • Not much gain by loosening cuts

5. The three histograms are: • no trigger required • total entries: 104145 • CMUP18 or CMX18 on • total entries: 101893 • CMUP18, CMX18 or L3BMU on • total entries: 102287 • Still fewer than 1% additional events in the entire bhmubd~bj + bmubbd~bj datasets

6. Trigger Path: BMU9_L1_BMU10_BSU_P11 • Entries: 1897

7. The above: bhmubd + bmubbd • The bottom: bhmubh + bmubbh

8. The above: bhmubi + bmubbi • The bottom: bhmubj + bmubbj

9. Bluebeam, Miniskirt and Keystone

10. Total entries: 104145 • No Bluebeam: 102841 • No Miniskirt: 96510 • No Keystone: 102252 • Without all three regions: 93365 • Gain from bluebeam, miniskirt and keystone regions ~12% • Gain most from Miniskirt ~8%

11. Trigger Efficiency for B M K regions • Use Z-muon events with run number >186598

12. Trigger Efficiency Summary • 1. Z Muons, with one leg as CMUP muon, passing CMUP18 trigger, and the other as Miniskirt or Keystone muon; CMX18 trigger efficiency: • Miniskirt (total: 2663) trigger efficiency: 1653/2663 = 0.620728+-0.00940244 • Keystone (total: 752) trigger efficiency: 569/752 = 0.756649+-0.0156479 • 2. Z Muons, with one leg as CMX muon, passing CMX18 trigger, and the other as Miniskirt or Keystone muon; CMUP18 trigger efficiency: • Bluebeam (total: 91) trigger efficiency: 91/91 = 1+-0 (calculation not valid here)

13. Trigger Efficiency Summary • 3. Z Muons, with one leg as CMUP muon, having no trigger requirement and the other as Miniskirt or Keystone Muon; CMX18 trigger efficiency: • Miniskirt (total: 2667) trigger efficiency: 1657/2667 = 621297+-0.00939263 • Keystone (total: 753) trigger efficiency: 570/753 = 0.756972+-0.0156304 • 4. Z Muons, with both legs as CMUP muons, passing CMUP18 trigger, and one or both are Bluebeam muons; Entries: 333

14. Next Step • Use MC Z->mumu datasets: ze1s6m, ze1s9m, ze0sbm, ze0scm, ze0sdm, ze0sem; • Study the efficiency of Muon identification using MC data (plotting its Pt distribution), and focus mainly on E_em and E_had cuts; • Study MC fake events by our own simulation. Use present MC datasets to implement the detector geometry information on our generated events.

15. Thanks!