search for narrow resonance decaying to muon pairs in 2.3 fb -1
DESCRIPTION
Search for Narrow Resonance Decaying to Muon Pairs in 2.3 fb -1. Ye Li on behalf of CDF Collaboration. University of Wisconsin-Madison. Motivation. Theory Driven Standard Model successful but incomplete Strong discovery potential in dimuon channel - PowerPoint PPT PresentationTRANSCRIPT
Search for Narrow Search for Narrow Resonance Decaying to Resonance Decaying to Muon Pairs in 2.3 fbMuon Pairs in 2.3 fb-1-1
Ye Lion behalf of CDF Collaboration
University of Wisconsin-Madison
APS April Meeting, St. Louis - 14 April 2008 2Ye Li
MotivationMotivation Theory Driven
Standard Model successful but incompleteStrong discovery potential in dimuon
channelNew models predict narrow neutral
resonance, e.g. • Additional U(1) symmetry: Z’ • Extra space-time dimension: Randall-Sundrum
gravitonFocus on Z’ → channel
APS April Meeting, St. Louis - 14 April 2008 3Ye Li
MotivationMotivation Experiment Driven
Last Tevatron dimuon resonance searches performed with integrated luminosity 200 pb-1
→ Our search: L ≈ 2.3 fb-1 of CDF Run II dataSignificant increase of sensitivity to
dielectron and diphoton channelsExcellent tracking resolution (Central Outer
Tracker, Drift Chamber)
APS April Meeting, St. Louis - 14 April 2008 4Ye Li
MethodologyMethodology Model Drell-Yan background and
signal resonance with PYTHIA + detector simulation
Use Z region for normalization Remove uncertainty on luminosityEasy accounting
APS April Meeting, St. Louis - 14 April 2008 5Ye Li
MethodologyMethodology Inverse Mass (1/m) Scan
Excellent angular resolution → negligibleHigh PT track curvature (~1/PT) resolution
constant → constant 1/m resonance width
1/m ≈ 0.16/TeV
CDF Run II Preliminary
APS April Meeting, St. Louis - 14 April 2008 6Ye Li
MethodologyMethodology Fit for NZ’ (number of Z’ candidate)
Calculate Binned Poisson likelihood L(NZ’;MZ’) for region 1/m < 10/TeV
Construct the narrowest possible interval in NZ’ at 95% C.L.
Scan for resonanceSignificance determined by Monte-Carlo
pseudo-experiments
APS April Meeting, St. Louis - 14 April 2008 7Ye Li
Dataset & SelectionDataset & Selection Dataset from high PT muon trigger Dimuon event selection
Two opposite-sign tight muonsAt least one muon passing the trigger
CDF Run II Preliminary
APS April Meeting, St. Louis - 14 April 2008 8Ye Li
EfficiencyEfficiency Mass dependence
Track and muon-hit cuts independent of mass
Momentum dependence Normalization of background expectation
• Only consider P dependence• No P dependence of trigger eff. for PT > 30 GeV
Separate the sample into signal and normalization (Z-pole) regions
APS April Meeting, St. Louis - 14 April 2008 9Ye Li
AcceptanceAcceptance Comparison of muon in W →
data vs. simulation for two muon detector regions
0.6 < || < 1.0 (CMX)
|| < 0.6 (CMUP)
CDF Run II Preliminary
APS April Meeting, St. Louis - 14 April 2008 10Ye Li
AcceptanceAcceptance Mass-dependent Acceptance
Larger mass → Lower boost → More central events → Larger acceptance
CDF Run II Preliminary
APS April Meeting, St. Louis - 14 April 2008 11Ye Li
BackgroundBackground Drell-Yan */Z →
PYTHIA + Simulation WW and tt-bar
PYTHIA + Simulation Cosmic Rays
Identified Cosmic-ray samples QCD Jets and Decays-in-Flight
Data
APS April Meeting, St. Louis - 14 April 2008 12Ye Li
Drell-YanDrell-Yan Dominant source for background Dominant source for systematic
uncertainty Mass spectrum affected by higher-
order correctionsCalculate up to next-to-next-to leading order
(NNLO) correction → k-factorDifferent Calculations give different k-
factorsAverage k-factor; Difference as uncertainty
APS April Meeting, St. Louis - 14 April 2008 13Ye Li
Signal ScanSignal Scan Pseudo-experiment: MZ’ = 250 GeV
Most likely distribution of NZ’
CDF Run II Preliminary
APS April Meeting, St. Louis - 14 April 2008 14Ye Li
Signal ScanSignal Scan Expected limits on NZ’ from 1000
pseudo-experiments on 50 Z’ masses
Data: to be implemented …!
CDF Run II Preliminary
APS April Meeting, St. Louis - 14 April 2008 15Ye Li
SummarySummary Use 1/m distribution for constant
resolution to search for Z’ Fitter and Simulation in place to study
signal acceptance and identification efficiency
Systematic uncertainties to be determined Signal scan performed on pseudo-
experiments Ready to unblind the data soon