bluebeam, keystone & miniskirt and trigger efficiency study

Bluebeam, Keystone & Miniskirt and Trigger Efficiency Study

Ye LiPhysics Graduate Student

UW - Madison

Updated datasets• Datasets:

– bhmubd– bhmubh– bhmubi– bhmubj– bmubbd– bmubbh– bmubbi– Bmubbj

• Not much gain by loosening cuts

• 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

• Trigger Path: BMU9_L1_BMU10_BSU_P11

• Entries: 1897

• The above: bhmubd + bmubbd

• The bottom: bhmubh + bmubbh

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

Bluebeam, Miniskirt and Keystone

• 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%

Trigger Efficiency for B M K regions

• Use Z-muon events with run number >186598

Trigger Efficiency Summary• 1. Z Muons, with one leg as CMUP muon, passi

ng 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 = 0.7

56649+-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 (c

alculation not valid here)

Trigger Efficiency Summary• 3. Z Muons, with one leg as CMUP muon, havin

g no trigger requirement and the other as Miniskirt or Keystone Muon; CMX18 trigger efficiency:– Miniskirt (total: 2667) trigger efficiency: 1657/2667 = 6

21297+-0.00939263– Keystone (total: 753) trigger efficiency: 570/753 = 0.7

56972+-0.0156304

• 4. Z Muons, with both legs as CMUP muons, passing CMUP18 trigger, and one or both are Bluebeam muons; Entries: 333

Next Step• Use MC Z->mumu datasets: ze1s6m, ze1

s9m, 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.

• Thanks!