observation of h→ɣɣ at cms using 2016 data at s=13 tev...observation of h→ɣɣ at cms using...
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Observation of H→ɣɣ at CMS using 2016 data at √s=13 TeV
Louie Corpe (Imperial College) on behalf of the CMS Collaboration.
Louie Corpe, Imperial College 1
31.08.16 Higgs Hunting 2016, Paris.
Young Scientists Forum - Part 1
Public analysis summary: CMS-PAS-HIG-16-020
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Introduction
Louie Corpe, Imperial College 2
• H→ɣɣ: key role in discovery of the Higgs.
• Clean final state: two highly energetic photons. However, low branching fraction (~0.2%) and large irreducible background.
• In a nutshell: Look for ‘bump’ on diphoton invariant mass (mɣɣ) spectrum.
• General strategy: categorise events by resolution and production topology (using additional objects in the event).
• This talk presents first results with 12.9 fb-1
of prompt data collected by CMS in 2016 at √s=13 TeV.
• Increased Higgs cross-section (XS): similar statistical sensitivity to Run 1 analysis.
Run 1 result:Sig+Bkg fit, all
categories summed
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BDT score of the photon ID1− 0.8− 0.6− 0.4− 0.2− 0 0.2 0.4 0.6 0.8 1
Even
ts210
310
410
510
610
710
810DataSimulation:
4 = 125 GeV)x10H
(mγγ→Htotal background+stat.uncert.γ-γ
-jetγjet-jet
DataSimulation:
4 = 125 GeV)x10H
(mγγ→Htotal background+stat.uncert.γ-γ
-jetγjet-jet
DataSimulation:
4 = 125 GeV)x10H
(mγγ→Htotal background+stat.uncert.γ-γ
-jetγjet-jet
DataSimulation:
4 = 125 GeV)x10H
(mγγ→Htotal background+stat.uncert.γ-γ
-jetγjet-jet
DataSimulation:
4 = 125 GeV)x10H
(mγγ→Htotal background+stat.uncert.γ-γ
-jetγjet-jet
DataSimulation:
4 = 125 GeV)x10H
(mγγ→Htotal background+stat.uncert.γ-γ
-jetγjet-jet
(13 TeV)-112.9 fbCMS Preliminary
Vertex ID and photon/diphoton ID
Louie Corpe, Imperial College 3
Vertex ID
Photon ID and diphoton pairs• Photon ID selects prompt photons against π0/
η→ɣɣ and electrons. • Multivariate approach combining shower shape
and isolation variables. • A further BDT is used to identify signal-like
diphoton pairs: kinematics, high photon ID scores, correct vertex probability and good mass resolution.
• Vertex assignment important for mɣɣ resolution. |zchosen- ztrue|<1 cm ⇒ angular contribution negligible wrt energy resolution.
• Vertex ID uses Multivariate approach (BDT):exploits tracks recoiling from ɣɣ system and conversion tracks. Estimate of vertex probability extracted for use in diphoton classification.
α
Eɣ1
Eɣ2
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γ γTransformed BDT0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Even
ts/0
.02
1
10
210
310
410
510
610
710 Datajet jet jetγγ γ
MC stat. uncert.
ggHVBFVHttH
Preliminary CMS (13TeV)-112.9 fb
Simulation background =125 GeVH
, mγγ→SM H
Event categorisation
Louie Corpe, Imperial College 4
• Events with additional objects characteristic of specific production modes are tagged, and remaining events are categorised using BDTɣɣ.
• TTH: look for hadronic or leptonic decays of tops quarks.
• VBF: Distinctive 2-jet + 2-photon signature, use BDTs to identify VBF jets and split VBF Tags by mass resolution.
• Inclusive categories split by mass resolution using BDTɣɣ output.
TTH Leptonic
TTH Hadronic
VBF Tag 0
Untagged 0
VBF Tag 1
Untagged 1
Untagged 2
Untagged 3
}}
}Target ttH (~0.5 pb)
Events categorised by top decay
Target VBF (~3.8 pb). Events categorised by sensitivity
Inclusive categories, mostly populated by ggH (~49 pb)
and VH (~2 pb). Events categorised by sensitivity using BDT.
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(GeV)Hm121 122 123 124 125 126 127 128 129
Acc
epta
nce
(%)
×Ef
ficie
ncy
36
38
40
42
44
Simulation Preliminary CMS TeV 13
γγ→H
A× εSignal model
syst. uncertaintyσ 1 ±
• Signal Model: For each category/process, fit sum of Gaussians to mɣɣ distribution, separately for:
• Vertex correctly identified: mass resolution dominated by energy resolution.
• Vertex incorrectly identified: mass resolution dominated by uncert. on vertex position.
• Smooth parametric model in each process/category. Interpolated between 7 mass points in the range 120-130 GeV.
• Background model: data-driven method. Sidebands used to determine background shape under signal peak in mɣɣ distribution.
• Treat choice of background function as discrete parameter in final minimisation.
Signal and Background Modelling
Louie Corpe, Imperial College 5
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
10
20
30
40
50
60
70
80
FWHM = 3.58 GeV
All Categoriesγγ→H
Simulation
modelParametric
= 1.88 GeVeffσ
13 TeVCMS Simulation Preliminary
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Diphoton mass spectrumAll categories summed
Louie Corpe, Imperial College 6
• Invariant mass spectrum. Background-only and signal-plus-background fits to the data are shown.
• Clear Higgs signal, visible by eye when background subtracted. Applying the weighting by sensitivity makes the peak even more obvious.
Even
ts /
GeV
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
DataS+B fitB component
σ1 ±σ2 ±
All categories=0.95µ=126.0 GeV, Hm --
Preliminary CMS TeV) (13-1 12.9 fbγγ→H
(GeV)γγm100 110 120 130 140 150 160 170 180
100−
0
100
200 B component subtracted
S/(S
+B) W
eigh
ted
Even
ts /
GeV
0
1000
2000
3000
4000
5000
DataS+B fitB component
σ1 ±σ2 ±
S/(S+B) weightedAll categories=0.95µ=126.0 GeV, Hm
--
Preliminary CMS TeV) (13-1 12.9 fbγγ→H
(GeV)γγm100 110 120 130 140 150 160 170 180
100−
0
100
200 B component subtracted
Unweighted Weighted
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P-value and signal strength
Louie Corpe, Imperial College 7
• We report an observation with significance 5.6σ where 6.2σ was expected for the SM Higgs boson at mH=125.09 GeV. The maximum significance of 6.1σ is observed at 126 GeV.
• Best fit signal strength (XS*BR) relative to SM, for profiled MH, is found to be:
(GeV)Hm116 118 120 122 124 126 128 130 132 134
Loca
l p-v
alue
10−10
9−10
8−10
7−10
6−10
5−10
4−10
3−10
2−10
1−10
1σ1 σ2
σ3
σ4
σ5
σ6
Observed
Expected
= 125.09 GeVHmExpected
Preliminary CMSγγ→H
(13TeV)-112.9 fb
µ0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5
ln L
∆-2
0
1
2
3
4
5
6
0.18−0.21+ = 0.95 µ
Preliminary CMSγγ→H
TeV) (13-112.9 fb
ProfiledHm
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Fiducial Cross-section measurement
Louie Corpe, Imperial College 8
(fb)fidσ30 40 50 60 70 80 90 100 110
ln L
∆-2
0
1
2
3
4
5
6
fb 22− 18+ = 69 fidσ
HXSWG YR4+ aMC@NLO
=125.09 GeVHm
Preliminary CMS
H, profiling mγγ→H
(13 TeV)-112.9 fb
(TeV)s7 8 9 10 11 12 13 14
(fb)
fid.
σ20
30
40
50
60
70
80
90
100Preliminary CMS
(13 TeV)-1 (8 TeV) + 12.9 fb-119.7 fb
γγ→H)Hbest-fit mData (
syst. uncertainty)=125.09 GeVHmSM (
- norm. LHC Higgs XSWG YR4MC@NLOA- acc.
• Measurement of fiducial cross section using different categorisation scheme.
• Consistency with SM observed.
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µ2− 0 2 4 6 8
-1.2+1.5 1.91
ttHµ
-0.8+0.9 1.61
VBFµ
-0.23+0.25 0.77
ggHµ
0.18−0.21+ = 0.95
combinedµ
ProfiledHm
σ 1±Combined
σ 1±Per category
SMµ=µ
Preliminary CMS
γγ→H
TeV) (13-1 12.9 fb
= 1VHµ
Production rate modifier
Louie Corpe, Imperial College 9
• Best fit signal strength split into bosonic and fermionic production modes:
• Also split the signal strength by individual production mode: consistent with SM.
ggH,ttHµ
0.5− 0 0.5 1 1.5 2 2.5 3
VBF,
VHµ
0
0.5
1
1.5
2
2.5
3
3.5
4Best Fit
SM
σ1
σ2
Preliminary CMSγγ→H
TeV) (13-112.9 fb
ProfiledHm
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Vκ0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
fκ
1−
0.5−
0
0.5
1
1.5
2
2.5
3 ) fκ, Vκq(
0
2
4
6
8
10
Best Fitσ1σ2
SM
Preliminary CMS TeV) (13-112.9 fb
γγ→H ProfiledHm
γκ0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
gκ0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2 ) gκ, γκq(
0
2
4
6
8
10
Best Fitσ1σ2
SM
Preliminary CMS TeV) (13-112.9 fb
γγ→H ProfiledHm
Coupling strength modifiers
Louie Corpe, Imperial College 10
• 𝞳ɣ, 𝞳g, 𝞳V, 𝞳f measure strength of Higgs coupling to particles relative to SM. For Higgs couplings via loops, an effective coupling is defined.
• Results consistent with SM expectation.
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Summary and Conclusions
Louie Corpe, Imperial College 11
• CMS has prepared its first results using the 2016 13 TeV dataset with 12.9 fb-1. Roughly equivalent to Run 1 dataset in terms of sensitivity.
• We report an observation of the Higgs boson with over 5σ significance in the diphoton decay channel.
• The measured signal strength is consistent with the SM expectation, with overall uncertainty of ~20%:
• Fiducial XS measurement performed - in line with SM expectation. • Consistency with SM when splitting signal strength into production modes. • Best-fit values of Higgs coupling strength modifiers for gluons, photons, vector
bosons and tops are found to be consistent with SM expectation. • Higgs physics: begin transitioning from discovery to precision
measurement era.
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BACKUP
Louie Corpe, Imperial College 12
BACKUP
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The CMS detector
HF Calorimeter
Hadron Calorimeter
Silicon Tracker
Preshower
Muon Detectors
EMCalorimeter
Louie Corpe, Imperial College 13
Solenoid Magnet 3.8T
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Vertex ID
Louie Corpe, Imperial College 14
• Inputs to the vertex ID BDT.
• ptasym
• ptbal
• sumpt2
• pull
• correct vertex (dZ<1cm)
• incorrect vertex (dZ >1cm)
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Photon ID
Louie Corpe, Imperial College 15
• Inp
• Distribution of BDTɣ ID score for signal and background. • Comparison of Distribution of BDTɣ ID score in data and MC using Z→ee events
where electrons are reconstructed as photons.
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Energy Reconstruction
Louie Corpe, Imperial College 16
• data vs MC comparison for invariant mass of Z→ee electrons reconstructed as photons.
• Events split into |η| and R9 categories. (R9 is the ratio of the amount of energy in a 3x3 array of ECAL crystals around the seed divided by the total energy in the supercluster. High R9 (>0.94) photons are likely to be unconverted, while Low R9 photons are likely to have undergone ɣ→e+e-).
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Diphoton MVA
Louie Corpe, Imperial College 17
• Distribution of BDTɣɣ score for signal and background. • Comparison of Distribution of BDTɣɣ score in data and MC using Z→ee events
where electrons are reconstructed as photons.
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Diphoton Selection andEvent Classification
Louie Corpe, Imperial College 18
• Diphotons split into categories, exploiting different S/B ratios and mass resolution => maximum sensitivity:
• TTH categories: make cuts on photon quality and requirements on bTags, Jets and absence/presence of leptons .
• VBF categories: use an MVA to identify VBF-like events with dijets. A further MVA using the diphoton and dijet MVAs as inputs is used to classify VBF events by sensitivity into VBFTags 0 and 1.
• Untagged categories: mostly populated by ggH, bring the largest contribution to analysis’ sensitivity. Category boundaries defined by Diphoton MVA.
• Event tagging sequence is defined as follows:
ttHLeptonic ttHHadronic VBF0-1 Untagged0-3
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Background Model Plots Unblinded
Louie Corpe, Imperial College 19
• Data and Signal + Background Fits shown, in the scenario where mH is profiled.
• Figures also show the Background-subtracted distributions.
• Uncertainty bands achieved by throwing toys from the post-Fit distributions and finding locations of relevant quantiles.
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Background Model Plots Unblinded
Louie Corpe, Imperial College 20
• Data and Signal + Background Fits shown, in the scenario where mH is profiled.
• Figures also show the Background-subtracted distributions.
• Uncertainty bands achieved by throwing toys from the post-Fit distributions and finding locations of relevant quantiles.
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Weighted S/S+B and P-Value
Louie Corpe, Imperial College 21
• Shown here is the total invariant mass distribution where we reweight using the factor S/(S+B) in a 1GeV window around the point.
Unweighted Weighted
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Signal Model
Louie Corpe, Imperial College 22
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Signal Model
Louie Corpe, Imperial College 23
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
02468
1012141618202224
FWHM = 5.11 GeV
Untagged 3γγ→H
Simulation
modelParametric
= 2.44 GeVeffσ
13 TeVCMS Simulation Preliminary
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
5
10
15
20
25
FWHM = 3.45 GeV
Untagged 2γγ→H
Simulation
modelParametric
= 1.70 GeVeffσ
13 TeVCMS Simulation Preliminary
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
2
4
6
8
10
12
14
16
18
20
FWHM = 2.83 GeV
Untagged 1γγ→H
Simulation
modelParametric
= 1.35 GeVeffσ
13 TeVCMS Simulation Preliminary
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2
FWHM = 2.42 GeV
Untagged 0γγ→H
Simulation
modelParametric
= 1.18 GeVeffσ
13 TeVCMS Simulation Preliminary
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Signal Model
Louie Corpe, Imperial College 24
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
FWHM = 2.84 GeV
TTH Hadronic Tagγγ→H
Simulation
modelParametric
= 1.39 GeVeffσ
13 TeVCMS Simulation Preliminary
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
FWHM = 3.17 GeV
TTH Leptonic Tagγγ→H
Simulation
modelParametric
= 1.61 GeVeffσ
13 TeVCMS Simulation Preliminary
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
0.2
0.4
0.6
0.8
1
1.2
FWHM = 3.12 GeV
VBF Tag 0γγ→H
Simulation
modelParametric
= 1.60 GeVeffσ
13 TeVCMS Simulation Preliminary
(GeV)γγm105 110 115 120 125 130 135 140
Even
ts /
( 0.5
GeV
)
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2
FWHM = 3.28 GeV
VBF Tag 1γγ→H
Simulation
modelParametric
= 1.71 GeVeffσ
13 TeVCMS Simulation Preliminary
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Fiducial XS measurement
Louie Corpe, Imperial College 25
(fb)fidσ30 40 50 60 70 80 90 100 110
ln L
∆-2
0
1
2
3
4
5
6
fb 22− 18+ = 69 fidσ
HXSWG YR4+ aMC@NLO
=125.09 GeVHm
Preliminary CMS
H, profiling mγγ→H
(13 TeV)-112.9 fb
(TeV)s7 8 9 10 11 12 13 14
(fb)
fid.
σ
20
30
40
50
60
70
80
90
100Preliminary CMS
(13 TeV)-1 (8 TeV) + 12.9 fb-119.7 fb
γγ→H)Hbest-fit mData (
syst. uncertainty)=125.09 GeVHmSM (
- norm. LHC Higgs XSWG YR4MC@NLOA- acc.
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μggH,ttH vs μVBF,VH Run1 vs Run2
Louie Corpe, Imperial College 26
ggH,ttHµ
0.5− 0 0.5 1 1.5 2 2.5 3VB
F,VH
µ0
0.5
1
1.5
2
2.5
3Best Fit
SM
σ1
σ2
Preliminary CMSγγ→H
TeV) (13-112.9 fb
ProfiledHm
Run 1
Figures shows with same axis ranges
Run 2
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𝞳g vs 𝞳ɣRun1 vs Run2
Louie Corpe, Imperial College 27
γκ0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2gκ
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2 ) gκ, γκq(
0
2
4
6
8
10
Best Fitσ1σ2
SM
Preliminary CMS TeV) (13-112.9 fb
γγ→H ProfiledHm
Run 1 Run 2
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𝞳g vs 𝞳ɣRun1 vs Run2
Louie Corpe, Imperial College 28
Run 1 Run 2
Vκ0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
fκ
1−
0.5−
0
0.5
1
1.5
2
2.5
3 ) fκ, Vκq(
0
2
4
6
8
10
Best Fitσ1σ2
SM
Preliminary CMS TeV) (13-112.9 fb
γγ→H ProfiledHm
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Analysis Flowchart
Louie Corpe, Imperial College 29
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Mass Measurement
Louie Corpe, Imperial College 30
• Observed best fit is at mH=126.0 GeV.• Obtained from prompt-reconstructed data. • Statistical uncertainty ~0.3 GeV. • Systematic uncertainty ~0.2-0.4 GeV. • Details of the systematic uncertainties on
the mass require further refinement and are still under study.
Even
ts /
GeV
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
DataS+B fitB component
σ1 ±σ2 ±
All categories=0.95µ=126.0 GeV, Hm --
Preliminary CMS TeV) (13-1 12.9 fbγγ→H
(GeV)γγm100 110 120 130 140 150 160 170 180
100−
0
100
200 B component subtracted