Standard Model Higgs Searches at D - PowerPoint PPT Presentation

1 / 43
About This Presentation
Title:

Standard Model Higgs Searches at D

Description:

Higgs in the Standard Model. Mass of elementary particles ... Liquid Argon-Uranium | | 4. Excellent linearity and resolution. Muon detector. Low punch throughs ... – PowerPoint PPT presentation

Number of Views:40
Avg rating:3.0/5.0
Slides: 44
Provided by: Suy2
Category:

less

Transcript and Presenter's Notes

Title: Standard Model Higgs Searches at D


1
Standard Model Higgs Searches at DØ
  • Suyong Choi
  • SKKU, Korea
  • for DØ Collaboration

2
Particles of the Standard Model
  • Higgs in the Standard Model
  • Mass of elementary particles coupling to
    massive particles stronger
  • Electro-weak symmetry breaking

3
Limits on MH
  • Current limits
  • Direct searches at LEP MH gt 114 GeV _at_ 95 CL
  • Fits to electroweak dataMH lt 160 GeV _at_ 95 CL
  • MH lt190 GeV if direct search result included
  • ? Light Higgs favored
  • Tevatron
  • Direct Searches rule out or find evidence
  • Precision mt and MW measurements

MH8736-27 GeV
4
SM Higgs Production at the Tevatron
  • Though Higgs production copious, not all channels
    are accessible
  • gg?H
  • Useful for MHgt140 GeV
  • H?WW?llnn
  • Background WW
  • qq?W/ZH
  • MHlt140 GeV
  • WH?lnbb
  • ZH?llbb, nnbb
  • Background Wbb, Zbb, top

pb
  • Sensitivity studies have shown that all channels
    must be studied, CDF D0 combination is essential

5
Tevatron Collider Status
  • Excellent performance
  • Steady increase in instantaneous luminosity
  • gt85 data collecting efficiency

4.3 fb-1
3.7 fb-1
Results presented today are based on 1.0 2.3
fb-1 of data
6
W Associated Production WH???bb
  • Sensitive for MHlt140 GeV
  • Large ? x Br

b jets
Two b-jets form a resonance
b jets
7
WH Search
  • Single and double b-tagged jet samples are
    analyzed separately and optimized

193 observed 204 ? 31 expected 2.3 WH
expected
Expected signal x 10
8
Neural Network Selection
  • Variables for ANN
  • pT of two jets
  • Opening angle of jets
  • Dijet system pT and mass
  • pT (lepton ??)
  • Observation in agreement with background only
    hypothesis

9
WH Search Results
  • No excess observed ? Set limits on cross section
    x Br
  • Limits obtained by fitting the NN output
  • ST and DT treated as independent channels
  • Systematics

Expected limits
10
WH Search Results
11
(No Transcript)
12
Z Associated Production ZH???-bb
  • Clean
  • Small cross section x Br
  • MHlt140 GeV

b jets
b jets
13
Neural Network Analysis
  • No significant excess
  • Set limits on ? x Br
  • NN output distributions
  • Systematic errors and correlations considered
  • Systematics
  • Background error 28
  • Signal eff. error 8

14
Higgs Limits from ZH???-bb Analysis
15
ZH???bb
  • Advantage of large branching fraction of Z???
  • MET 2 jets cannot reconstruct Z explicitly
  • Large multijet background
  • Recovers leptonic decays of WH and ZH, where
    leptons were not reconstructed explicitly

16
Missing ET jets
  • Data 2.1 fb-1
  • MET gt 50 GeV
  • Jets
  • 2 or 3 jets, pTgt20 GeV
  • 2 leading jets should not be back-to-back
  • Wjets and multijets dominant
  • Multijet background due to mismeasured jet ET

signal x 500
17
Multivariate Analysis
  • Boosted decision tree result using 26 variables
    after b-tagging

18
ZH???bb Search Result
  • Systematic uncertainties
  • Limits
  • best limit in W/ZH

19
H?WW????-?
  • Important for mHgt140 GeV
  • Final state 2 leptons MET
  • Cannot reconstruct MH
  • Data 2.3 fb-1
  • 1.1 (IIa data) 1.2(IIb data)
  • ee, em, ??
  • Selection
  • 2 oppositely charged leptons
  • Large MET
  • Di-lepton mass
  • min( MT(e), MT(m) )
  • ????
  • H T
  • ? reduce Z, Wjets, tt-bar
  • Analysis optimized for each MH

Signal
1.1fb-1
20
NN Analysis
  • Preselection
  • After final selection

21
H?WW
  • Systematic uncertainty
  • Combine distributions from different channels
  • Statistical uncertainty Correlated systematics
  • Factor 2.4 away from SM For MH160 GeV

22
Other SM Higgs Searches
  • WH?WWW
  • 3 lepton final state
  • Recovers sensitivity MH 140 GeV
  • H ? ??
  • Not a discovery channel at the Tevatron
  • Analysis with less model dependence

23
Combined DØ SM Higgs Results
  • Correlations of systematic errors taken into
    account

24
Combined CDF and DØ Results
Factor 1.1 away!
25
Prospects for MHlt140 GeV
  • We achieved 1.7 factor improvement in sensitivity
    since 2005
  • not including gains due to lumi
  • We expect additional x2 gain in sensitivity
  • Optimized b-tagging with inner silicon Layer 0
  • semileptonic b-tags
  • dijet mass resolution
  • lepton efficiencies
  • refined multivariate analyses

26
Prospects for MHgt140 GeV
  • We achieved 1.7 factor improvement in sensitivity
    since 2005 (not including gains due to lumi)
  • We expect additional x1.4 gain in sensitivity
  • lepton efficiencies
  • multivariate analyses

27
Expected Higgs Sensitivity in 2009/2010
  • Assuming 2 experiments

2010 2009
2009
28
Summary
  • We searched for Standard Model Higgs boson in all
    the sensitive channels using the DØ data
  • Results in agreement with expected backgrounds
  • In 2008, we may be able to exclude new MH range
    beyond that of LEP
  • CDFD0 results combined
  • Many improvements expected to raise sensitivity
    in a broad range of MH - most exciting years to
    come!

29
Standard Model Higgs Searches
  • WH
  • ZH
  • H?WW

30
The DØ Detector
  • Tracking
  • Precision silicon vertex detector
  • Scintillating fiber tracker
  • 2T B-field
  • Calorimetry
  • Liquid Argon-Uranium
  • ?lt4
  • Excellent linearity and resolution
  • Muon detector
  • Low punch throughs
  • 1.8T toroidal B-field
  • Trying to exploiting full capabilities

31
Search for WH???bb
  • Data 1.7 fb-1 with e and ?
  • Event preselection
  • lepton pTgt15 GeV
  • Missing ET ETgt20 GeV
  • 2 Jets pTgt20 GeV
  • hlt2.5
  • Veto on
  • Additional high pT track
  • 4th jet
  • Background is well understood

32
Tevatron _at_ Fermilab
  • _at_ ?s1.96 TeV
  • Circumference 6 km
  • The only place to directly look for Higgs and
    supersymmetric particles until LHC

33
b-jet Tagging
  • D0 developed sophisticated Neural Network based
    algorithm
  • Lifetime of a b hadron is quite long (a few mm)
  • Superb efficiency
  • Samples and performance derived from data
  • Fakes are due to finite resolutions of the
    tracking detector
  • Detector view
  • Decay length
  • Impact parameter
  • Measurement errors

Primary vertex
Secondary vertices
34
Neural Network Analysis
  • After final selection
  • Neural network used to maximize sensitivity
  • pT of leptons
  • m??
  • ????
  • MET
  • angles between MET and leptons
  • minimum transverse mass

35
Search for H?WW ????-?
  • Important channel for mHgt140 GeV
  • Final state2 leptons MET
  • Explicit mass cannot be reconstructed
  • Signal / background separation by exploiting
    event topology differences
  • WW decays from a spin 0 particle
  • leptons prefer to decay in the same direction

36
Combined SM Higgs Results
  • Use as inputs the discriminant outputs from each
    analysis

37
Kinematic Distributions of b-jets
38
b-tagging in ZH???-bb
  • Use both single and double-tagged events
  • S/B are different
  • Single tag
  • ?b45, ?j0.5

39
b-tagging in ZH???-bb
  • Double tag
  • ?b72, ?j6 per jet

40
Neural Network Analysis
  • 9 kinematic variables used
  • 10k signal events and 100k background events
  • NN architecture optimized to yield best
    significance

41
MET b-jets
40340 events
439 events
  • Asymmetric b-tagging requirements on the two
    hadronic jets
  • maximizes sensitivity

42
Standard Model Higgs Decays
  • Higgs prefers to decay to massive particle
    kinematically allowed
  • bb for MH lt 140 GeV
  • WW for MHgt 140 GeV

43
ZH???-bb Selection
  • Data 1.1 fb-1
  • Dileptons
  • pTgt15 (10) GeV for e (?)
  • In well-instrumented region of the detector and
    isolated
  • 70 GeV lt M?? lt 110 GeV
  • Jets
  • pTgt15 GeV and ?lt2.5
  • b-tagging
  • After dileptonjets selection before b-tag
Write a Comment
User Comments (0)
About PowerShow.com