h → zz → a promising new channel for high higgs mass sara bolognesi – torino infn and...
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H → ZZ →
A promising new channel for high Higgs mass
Sara Bolognesi – Torino INFN and University
Higgs meeting 23 Sept. 2008 – CMS Week
Introduction
≈10×BR(H→ZZ→4), same final state of H→WW→
Analysis code/workflow similar to H→VV• re-use the code (MET corrections)
• use the skimmed sample of H→WW
(CMSSW_1_6_9)
Results up to preselection already shown inHiggs meeting on 9th May:
• resolution and efficiency on signal
• signal and background kinematic
• definition of preselection cuts
High background:
• inclusive ZZ ≈ 15 pb (Pythia)
• inclusive WW ≈ 114 pb (Pythia)
• ttbar ≈ 840 pb (MC@NLO)• Z→ ≈ 830 pb (Pythia) • Z+jets ≈ 5777 pb (Alpgen Chowder)
• ttbar+jets ≈ 836.5 pb (Alpgen Chowder)• W+jets ≈ 58155 pb (Alpgen Chowder)
compared also with
New channel ( × BR ≈ 50 fb) along the line of H→VV:
http://indico.cern.ch/materialDisplay.py?contribId=3&materialId=slides&confId=32886
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Analysis workflow HLT: 1 or 2 muons isolated or not
Skimming: at least 2 global muons with pT > 20, 10 GeV and ||<2.4
Preselection: • exactly two muons with opposite charge
• 80 GeV < M() < 100 GeV
• MET > 25 GeV after Type 1 and 2 corrections (i.e. Jet Energy Scale and muons corrections)
Selection cuts studied:
• Central Jet Veto or Track Counting Veto
• muon isolation and impact parameter cut
• kinematic selection
Final distributions to search signal excess
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(no Higgs mass peak → alternative variable like (ll) in H→WW→ll)
Event yields after preselection
(9.54 ± 0.03)%
(0.203 ± 0.004)%
(1.40 ± 0.03)%
(0.071 ± 0.003)%
(49.7 ± 0.3)%
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Track counting veto
Similar results from Central Jet Veto with calorimetric jets
VBF events in signal (20% for mh500) have 2 jets
sign > √back
gain in significance
• supposed to be at high • but in highly boosted events (43% of events has pZ
H>200GeV) one jet can be central(only is boost invariant)
No CUT on TCV
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UE activity increases with hard scattering energy scale
• bigger for high mass signal
Muon isolation
Good rejection against W+jets and tt+jets
2 1.5cone cone cone
T T Ttracks ECAL HCAL
p E E in cone (R=0.3) around the second muon (with lower pT)
Very low signal rejection: • VBF jets far away from muons (high (jet-))
• UE recoils with respect to Higgs
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Muon tranverse impact parameter
no gain in significance
Same efficiency on signal and Z+jets (which is 97% of the background after preselection)
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i.e. |d0/(d0)| < cut
Kinematic
• Signal kinematic dependent on Higgs mass: low mass similar to background
• No samples available for optimization of the cuts as a function of the Higgs mass(however premature at this stage)
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All these variables are correlated → not so powerful!
Kinematic: pT()/MET
• scalar Higgs (isotropic H→ZZ decay) → pT()/MET ≈ pTZ1/pT
Z2 ≈ 1 for any mass
Strong rejection (47%) of Z+jets: • high Z pT (Z recoling w.r.t. jets and UE)
• low MET because no neutrinos
• difference between mh200 and mh500 due to MET measurement error
→ related with hard scattering scale (i.e. Higgs mass)→ related with UE
Good behaviour on signal:
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Results (1 fb-1)
150-250 GeV
signal 200
signal 500
Z+jets
tt+jets
W+jets
WW
ZZ
significance
MH200: likelihood from kinematic variables → significance 0.2
MH500: 12.5 fb-1 (35 fb-1) for Higgs evidence (discovery)
events (1 fb-1)
Higgs transverse mass • includes all the previous kinematic variables• simple dependence on the Higgs mass
to be used as final reference distribution to search for signal excess
> 400 GeV
22.4 ± 0.2
24003 ± 165
202 ± 7
33 ± 7
51 ± 3
78 ± 3
--- 4.96 ± 0.08
31 ± 5
0.6 ± 0.4
0
0.4 ± 0.2
2.6 ± 0.5
---
0.143 ± 0.001 0.85 ± 0.06
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Systematics
• MET: 5% from Z/W comparison* → propagated into analysis 2%
• Muon efficiency (trigger, reconstruction, isolation):measured from single Z data* with negligible uncertainty
• Muon momentum scalemeasured and calibrated from single Z data* → residual systematics due to magnetic field and misalignement is negligible (<1% on Z xsec)
• Jet energy scale and jet reconstruction efficiencyno impact (no CJV used)
Systematics on background yield (luminosity, PDF, NLO) can be avoided with background normalization from data
Experimental systematics
* Towards a measurements of the inclusive W→ and Z→ cross sections in pp collisions at √s = 14 TeV CMS AN 2007/031, PAS 2007/002
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Z+jets normalization
Control region: all analysis cuts but MET<25 GeV
has negligible uncertainty: • pollution from other processes 0.02%
• statistical uncertainty 0.2% with 1fb-1
MC extrapolation dominated by MET uncertainty →
3% final uncertainty on Z+jets yield in signal region
signal regionsignal region control region
control regionMC
dataMC
BB B
B
control regiondataB
signal region
control regionMC
MC
B
B2% in each region
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ZZ normalization No region where ZZ dominates because Z always overwhelming
→ use single Z process as reference
control region: all analysis cuts on muons, MET not considered
Extrapolation to signal region (= control region + MET related cuts)
dominated by MET uncertainty
→ 4% on
control region dataMC
ZZ ZZZZ Z MC
Z Z
N N
uncertainty negligible:main effects (muon trigger, reco, iso efficiency), which are however small, mostly cancel out
MCZZMCZ
main effect (PDF) mostly cancel out uncertainty negligible:ZZ
Z
uncertainty very small:• 0.2% pollution from other processes
• 0.15% statistical uncertainty with 1fb-1
dataZN
signal regionsignal region control region
control regionMC
ZZ ZZMC
NN N
N signal region
MCN
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Conclusion
15.5 fb-1 (43 fb-1) needed for Higgs evidence (discovery) with mass 500 GeV.
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Sources signal MH500 background
luminosity
MET modeling
normalization
MC statistics
Total
10%
10%
0.3%
---
1.6%
14.2% 15.4%
2%
---
15%
---
3% CLB 22.34%
0.76
Open issues Too small MC background samples available: background MC statistics is the main systematics
Samples with different Higgs mass needed to assess the discovery power for different masses (possibly optimizing cut VS mass)
Z inclusive pT (and MET in Z+jets events) must be measured from data to tune MC!!
MC level Z pT (after HLT+skimming) reco Higgs transverse mass(after full analysis selection)
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Back-up
Higgs transverse mass
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Two possible definitions:
• using only muon info
• using also MET ≈ pT() (energy and direction: px,py)
2 22T TM Z p M
2 22 2 2 2 2
1 2,T T T T TM Z Z p M p M p p
2 22 2 2 2 2
1 2,T T T T TM Z Z p M p M p p
mh200 mh500
MH200 likelihood
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Signal reconstruction resolution
Z → : pT resolution
M() resolution
mean = 0.12%
std.dev. = 1.6%
mean = 0.19%
std.dev. = 1.3%
• resolution: gaussian with underestimated mean (recoMET < genMET)
+ not gaussian queue with recoMET > genMET
• importance of the JES and muon corrections
Z → (MET):
MET
MET resolution
= -10%
= 33%
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Signal VS backgroundsAfter HLT (all muon paths) and skimming (at least 2 mu with pT > 20, 10 GeV and ||<2.4)
M()
signalZ → ttbar inclusiveZZ inclusiveWW inclusive
All histograms normalized to 1
biggest muon pT
2° muon pT
MET (i.e. Z pT)
number of muons
charge of muons
important for Zbb e ZW
HLT, skimming, preselection efficiency on signal
HLT: all muon paths
Skimming: at least muons with pT > 20, 10 GeV and ||<2.4
exactly two muons with opposite charge muon pT > 20, 40 GeV 80 GeV < M() < 100 GeV corrected MET > 25 GeV
Preselection:
acceptance and reco eff. for each 86.0 ± 0.1 %
HLT 91.5 ± 0.2 %
HLT + skimming 71.5 ± 0.3 %HLT+skim
accept×accept( )96.7 ± 0.3 %
HLT + skimming + preselection
40.1 ± 0.3 %
HLT+skim+presel HLT+skim
( )56.1 ± 0.3 %
Signal efficiencies:
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Background yield
0.05 0.05 0.1
(only poissonian error = √N)
Additional cuts needed to increase the significance
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(CJV, mu isolation and IP, kinematic cuts)
Main backgrounds Z→ and ttbar
preselection cuts efficiency (after HLT+skim)Significance:
signalZ → ttbar inclusiveZZ inclusiveWW inclusive
0.06
isolation efficiency
reconstruction efficiency
trigger (L1×HLT) efficiency
Muon efficiencies from tag & probe
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MET systematics
Muon scale calibration
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