Search for the Higgs boson produced in association with top quarks and decaying into bottom quarks with the ATLAS detector
Shunsuke Honda (High Energy Physics Laboratory)
- 1
2018/03/27
Search for the Higgs boson produced in association with top quarks - - PowerPoint PPT Presentation
Search for the Higgs boson produced in association with top quarks and decaying into bottom quarks with the ATLAS detector Shunsuke Honda (High Energy Physics Laboratory) 1 2018/03/27 Top Quarks and Higgs Bosons 2 Top Quark:
Search for the Higgs boson produced in association with top quarks and decaying into bottom quarks with the ATLAS detector
Shunsuke Honda (High Energy Physics Laboratory)
2018/03/27
Shunsuke Honda (U Tsukuba)
2018/03/27
Top Quarks and Higgs Bosons
Top Quark: Largest and unique mass value mtop = 173.3 GeV ~ v / √2 → Top-Yukawa coupling Yt ~ 1: a key parameter of the SM Yt probes BSM such as VLQ, SUSY, … The ttH production allows the direct measurement of top-Yukawa with significant sensitivities in LHC Run2.
g g H
g g t H t
Yt
Small cross sections, but distinct signatures in various decay channels in Higgs and ttbar Cross-section = 0.51 pb at 13TeV
11.6% VV,ττ 30.6% γγ 0.2% bb 57.6%
Shunsuke Honda (U Tsukuba)
2018/03/27
ttH(H→bb) Objects
e/μ
W→light-/c-jets
t t H
MET
b-jets
H→bb
W→ℓν
e/μ
t t H
MET
b-jets
H→bb
W→ℓν
e/μ
W→ℓν
ttH → 6jets(4b-jets), 1lepton, MET / 4jets(4b-jets), 2leptons, MET
Background sources: tt+jets (85-96% of total Bkgd.)
tt+bb: 4b-jets
→ same final states: irreducible
tt+cc: 2b-jets + 2c-jets / tt+light: 2b-jets + 2 light-jets
→ reducible BKG with b-jet identification (=> b-tagging)
(generated gluon instead of Higgs)
t
g
t
Shunsuke Honda (U Tsukuba)
2018/03/27
Flavor Tagging (b-tagging)
1 − 0.8 − 0.6 − 0.4 − 0.2 − 0.2 0.4 0.6 0.8 1
Arbitrary units
3 −
10
2 −
10
1 −
10 1 10
ATLAS Simulation Preliminary t = 13 TeV, t s
b jets c jets Light-flavour jets
5 4 3 2 1
mv2c10 BDT score primary vertex secondary vertex jet tracks
cτ~450 μm B-hadron decaying generated B-hadron
t t H
larger smaller
5 5 4 3 1 1
Shunsuke Honda (U Tsukuba)
2018/03/27
Region Definition
Single Lepton, ≥ 6 j SR1 SR2 SR3 CRt¯
t+b
CRt¯
t+≥1c
CRt¯
t+light
(3rd, 4th) jet b b b-tagging discriminant (5, 5) (5, 4) (5, 3) (5, 2) (4, 4) (4, 3) (4, 2) (3, 3) (3, 2) (2, 2) (5, 1) (4, 1) (3, 1) (2, 1) (1, 1) (1st, 2nd) jet b b b-tagging discriminant (5, 5) (5, 4) (4, 4) (5, 3) (4, 3) (3, 3)
t t H Using four highest btagging scores per event:
larger smaller
5 5 4 3 1 1
>30% of tt+≥1c >30% of tt+b
remaining bins:
>60% >45% >30%
Shunsuke Honda (U Tsukuba)
2018/03/27
Defined Regions
tt+light 5 j
CR
1c ≥ tt+ 5 j
CR
tt+b 5 j
CR
2 5 j
SR
1 5 j
SR
boosted
SR
tt+light 6 j ≥
CR
1c ≥ tt+ 6 j ≥
CR
tt+b 6 j ≥
CR
3 6 j ≥
SR
2 6 j ≥
SR
1 6 j ≥
SR B / S 0.01 0.02 0.03 0.04 0.05 B / S 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
12 regions for single-lepton channel (5jets, ≥6jets)
Shunsuke Honda (U Tsukuba)
2018/03/27
Multi-Variate Analysis: ttH and tt+bb Separation
Classification BDT output
1 − 0.8 − 0.6 − 0.4 − 0.2 − 0.2 0.4 0.6 0.8 1
Data / Pred.
0.5 0.75 1 1.25 1.5
Events / bin 50 100 150 200 250 300 350 400 450 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
1
6j ≥
SR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t
Reconstruction kinematics LH discriminant MEM discriminant
identify jet assignments for top/Higgs candidates using MVA algorithm uses Signal / Bkgd. probability via ME calculation uses various PDFs of masses/angles, considering missing object prob.
(reco BDT) [GeV]
Higgs bbm 50 100 150 200 250 300 350 Data / Pred.
0.5 0.75 1 1.25 1.5Events / 25 GeV 100 200 300 400 500 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
1 6j ≥SR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t Pre-Fit Bkgd.
Higgs mass MVA score
S/B ~ 0.23
S/B ~ 0.10
Advanced discriminants : Simple kinematic variables
ΔRbbmax.pT, mbbmin. ΔR, … b-tagging scores for each jet
tt+bb tt+bb
Shunsuke Honda (U Tsukuba)
2018/03/27
Results
SM H t t
σ /
H t t
σ = µ Best fit 1 − 1 2 3 4 5 6 Combined combined fit) µ (two- Single Lepton combined fit) µ (two- Dilepton
−0.24
1.02 + 1.05 −
(
0.54 + 0.52 − 0.87 + 0.91 −
) 0.95
0.65 + 0.62 −
(
0.31 + 0.31 − 0.57 + 0.54 −
) 0.84
0.64 + 0.61 −
(
0.29 + 0.29 − 0.57 + 0.54 −
)
ATLAS
= 13 TeV, 36.1 fb s = 125 GeV
H
m tot. stat.
tot (stat syst)
SM no signal
Observed (Expected) excess = 1.4σ (1.6σ) over SM bkgd.
determined with free-floating normalizations for tt+HF:
C R
1c ≥ tt+ 5jC R
tt+b 5jC R
2 5jS R
1 5jS R
boostedS R
tt+light 6j ≥C R
1c ≥ tt+ 6j ≥C R
tt+b 6j ≥C R
3 6j ≥S R
2 6j ≥S R
1 6j ≥S R Data / Pred.
0.5 0.75 1 1.25 1.5Events / bin 10
210
310
410
510
610
710
810 ATLAS
= 13 TeV, 36.1 fb s Single Lepton Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H t t
normalizations in all regions: consistent btw data and pred.
Run1:
SM H t t
σ /
H t t
σ = µ Best fit 1 − 1 2 3 4 5 6
1.5 ± 1.1 ( ±0.8 ±0.7)
tot (stat syst)
→40% improvements from Run1
Single-lepton regions
Shunsuke Honda (U Tsukuba)
2018/03/27
Systematic Uncertainties (15 Unc. with Largest Impacts on μ-value)
Less impacts from tt+cc , other Bkgd. modelings But still large impact by tt+bb modeling also in new results.
0.5 1
PDF (MSTW) b +b t t light-jet tagging 2 jet energy scale 3 renormalisation scale b +b t t reweighting
Ttop p c +c t t b-jet tagging 1 reweighting
Tp t t c +c t t light-jet tagging 1 jet energy scale 2 shower recoil scheme b +b t t +V cross section t t
bbscale choice m renormalisation b +b t t normalisation c +c t t jet energy scale 1 normalisation b +b t t
µ ∆
0.5 1 θ ∆ )/ θ
(
0.5 1 1.5
Pull µ Pre-fit Impact on µ Post-fit Impact onATLAS
=125 GeV
H, m
= 8 TeV, 20.3 fb s
θ Δ )/ θ
(
2 − 1.5 − 1 − 0.5 − 0.5 1 1.5 2
b-tagging: efficiency NP II : soft-term resolution
miss TE b-tagging: mis-tag (c) NP I b-tagging: efficiency NP I Wt: diagram subtr. vs. nominal +light: PS & hadronization t t Jet energy resolution: NP II 1c: ISR / FSR ≥ + t t 1b: shower recoil scheme ≥ + t t 5F vs. nominal
HERPA1c: S ≥ + t t 3b normalization ≥ 1b: tt+ ≥ tt+ H: cross section (QCD scale) t t Jet energy resolution: NP I 0.10 ± 1b) = 1.24 ≥ k(tt+ b-tagging: mis-tag (light) NP I H: PS & hadronization t t 1b: ISR / FSR ≥ + t t 1b: PS & hadronization ≥ + t t 4F vs. nominal
HERPA1b: S ≥ + t t 5F vs. nominal
HERPA1b: S ≥ + t t
µ Δ 1 − 0.5 − 0.5 1
: µ Pre-fit impact on θ Δ + θ = θ θ Δ
= θ : µ Post-fit impact on θ Δ + θ = θ θ Δ
= θ
ATLAS
= 13 TeV, 36.1 fb s
Run1 This result
more impact more impact
Shunsuke Honda (U Tsukuba)
2018/03/27
Comparison btw. ATLAS and CMS
Classification BDT output 1 − 0.8 − 0.6 − 0.4 − 0.2 − 0.2 0.4 0.6 0.8 1 Data / Pred.
0.5 0.75 1 1.25 1.5Events / bin 50 100 150 200 250 300 350 400 450 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
1 6j ≥SR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t
SM H t tσ /
H t tσ = µ Best fit 1 − 1 2 3 4 5 6 Combined combined fit) Single Lepton combined fit) Dilepton
−0.24
1.02 + 1.05 −
(
0.54 + 0.52 − 0.87 + 0.91 −
) 0.95
0.65 + 0.62 −
(
0.31 + 0.31 − 0.57 + 0.54 −
) 0.84
0.64 + 0.61 −
(
0.29 + 0.29 − 0.57 + 0.54 −
)
ATLAS
= 13 TeV, 36.1 fb s = 125 GeV
Hm tot. stat.
tot (stat syst)
most sensitive region
different treatments for tt+jets modeling but smaller unc. in CMS. good consistencies in all bins.
Result
~ same results in both analysis +0.24/-0.28 for CMS +0.46/-0.46 for ATLAS
Shunsuke Honda (U Tsukuba)
2018/03/27
The ttH production allows the direct measurement of top-Yukawa: largest and unique coupling value = a key for SM/BSM physics. Searched for ttH production with H->bb Key point: large systematic uncertainties in tt+jets modeling Run1 result: 1.4σ observed (1.1σ expected) Developed MVAs for optimized event categorization → μ=σttHobs/σttHSM = 0.8±0.6 : 1.4σ observed (1.6σ expected)
Shunsuke Honda (U Tsukuba)
2018/03/27
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
ttH Combination Results
Observed (Expected) excess = 4.2σ (3.8σ) over SM bkgd. : evidence for ttH production
Uncertainty Source ∆µ t¯ t modeling in H → b¯ b analysis +0.15 −0.14 t¯ tH modeling (cross section) +0.13 −0.06 Non-prompt light-lepton and fake τhad estimates +0.09 −0.09 Simulation statistics +0.08 −0.08 Jet energy scale and resolution +0.08 −0.07 t¯ tV modeling +0.07 −0.07 t¯ tH modeling (acceptance) +0.07 −0.04 Other non-Higgs boson backgrounds +0.06 −0.05 Other experimental uncertainties +0.05 −0.05 Luminosity +0.05 −0.04 Jet flavor tagging +0.03 −0.02 Modeling of other Higgs boson production modes +0.01 −0.01 Total systematic uncertainty +0.27 −0.23 Statistical uncertainty +0.19 −0.19 Total uncertainty +0.34 −0.30
2 − 2 4 6 8 10
=125 GeV
H
for m
H t t
µ Best-fit
H combined t t VV → H, H t t b b → H, H t t γ γ → H, H t t τ τ → H, H t t
0.6 − +0.6
1.5 ,
0.4 − +0.4 0.4 − +0.5
( )
0.6 − +0.6
0.8 ,
0.3 − +0.3 0.5 − +0.5
( )
0.6 − +0.7
0.6 ,
0.6 − +0.7 0.2 − +0.2
( )
1.0 − +1.2
1.5 ,
0.8 − +0.9 0.6 − +0.8
( )
0.3 − +0.3
1.2 ,
0.2 − +0.2 0.2 − +0.3
( )
( tot. ) ( stat. , syst. ) total stat.
ATLAS
=13 TeV, 36.1 fb s
SM no signal
Largest impact by tt+bb modeling also seen in combined result.
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
CMS Latest Results (H->bb)
Large different treatments for tt+jets modeling unc. from ATLAS.
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Region Definition in 5J
Single Lepton, 5 j SR1 SR2 CRt¯
t+b
CRt¯
t+≥1c
CRt¯
t+light
(3rd, 4th) jet b b b-tagging discriminant (5, 5) (5, 4) (5, 3) (5, 2) (4, 4) (4, 3) (4, 2) (3, 3) (3, 2) (2, 2) (5, 1) (4, 1) (3, 1) (2, 1) (1, 1) (1st, 2nd) jet b b b-tagging discriminant (5, 5) (5, 4) (4, 4) (5, 3) (4, 3) (3, 3)
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Region Definition in Dilepton Channel
Dilepton, 3 j CRt¯
t+≥1b
CRt¯
t+light
3rd jet b b b-tagging discriminant 5 4 3 2 1 (1st, 2nd) jet b b b-tagging discriminant (5, 5) (5, 4) (4, 4) (5, 3) (4, 3) (3, 3) Dilepton, ≥ 4 j SR1 SR2 SR3 CRt¯
t+≥1c
CRt¯
t+light
(3rd, 4th) jet b b b-tagging discriminant (5, 5) (5, 4) (5, 3) (5, 2) (4, 4) (4, 3) (4, 2) (3, 3) (3, 2) (2, 2) (5, 1) (4, 1) (3, 1) (2, 1) (1, 1) (1st, 2nd) jet b b b-tagging discriminant (5, 5) (5, 4) (4, 4) (5, 3) (4, 3) (3, 3)
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Defined Regions in Dilepton Channel
ATLAS = 13 TeV s Dilepton + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t
+light t t 3j
CR
1b ≥ + t t 3j
CR
+light t t 4j ≥
CR
1c ≥ + t t 4j ≥
CR
3 4j ≥
SR
2 4j ≥
SR
1 4j ≥
SR
tt+light 3 jCR
1b ≥ tt+ 3 jCR
tt+light 4 j ≥CR
1c ≥ tt+ 4 j ≥CR
3 4 j ≥SR
2 4 j ≥SR
1 4 j ≥SR Data / Pred.
0.5 0.75 1 1.25 1.5Events / bin 10
210
310
410
510
610
710 ATLAS
= 13 TeV, 36.1 fb s Dilepton Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H t t
t t + l i g h t 3jCR
1 b ≥ t t + 3jCR
t t + l i g h t 4j ≥CR
1 c ≥ t t + 4j ≥CR
3 4j ≥SR
2 4j ≥SR
1 4j ≥SR B / S 0.01 0.02 0.03 0.04 0.05 B / S 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 ATLAS
= 13 TeV, 36.1 fb s Dilepton
7 regions for single-lepton channel (5jets, ≥6jets)
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Higgs Mass
[GeV]
Higgs candidatem 50 100 150 200 250 300 350 Data / Pred.
0.5 0.75 1 1.25 1.5Events / 25 GeV 50 100 150 200 250 300 350 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
boostedSR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t Pre-Fit Bkgd. (reco BDT) [GeV]
Higgs bbm 50 100 150 200 250 300 350 Data / Pred.
0.5 0.75 1 1.25 1.5Events / 25 GeV 100 200 300 400 500 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
1 6j ≥SR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t Pre-Fit Bkgd. (reco BDT) [GeV]
Higgs bbm 50 100 150 200 250 300 350 Data / Pred.
0.5 0.75 1 1.25 1.5Events / 25 GeV 20 40 60 80 100 ATLAS
= 13 TeV, 36.1 fb s Dilepton
1 4j ≥SR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t Pre-Fit Bkgd.
32% 47%
efficiency for correctly Higgs reconstructed:
32% ≥6jets, SR1 ≥4jets, SR1 boosted
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Single-Lepton Plots
Pre-fit Post-fit
6jCR(ttc) 6jSR3 6jSR2 6jSR1
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Single-Lepton Plots
Pre-fit Post-fit
5jCR(ttc) 5jSR2 5jSR1 Boosted SR
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Dilepton Plots
Pre-fit Post-fit 4jSR3 4jSR2 4jSR1
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
tt+b tt+bb tt+B 3b tt+ Fraction of events
2 −
10
1 −
10 1 8
YTHIA
+P
OWHEG
P 4F
HERPA
S ATLAS Simulation tt + b tt + bb tt + B 3b ≥ tt + 8
YTHIA
+P
OWHEG
P 4F
HERPA
S 0.5 1 1.5 2
BackGround: Normalization Reweights on tt+≥1b
PowhegPythia8(5FS) reweighted to SherpaOL(4FS)
reweight
too big!!! → additional systematics : ±50% for tt+≥3b
t t t t t t t t
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
ttbar Modeling Systematic Unc.
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
S/B Sorted Plot
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
BDT Input Variables
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
Boosted Region
t t H ℓ ν
small jet (btagged@85%)
R=1.0 R=0.4 (btagged) R=0.4 (non-btagged) R=0.4 (btagged)
ReClustered Jet: using calibrated normal (small-R) jets to construct the large-R jet → High momentum Higgs(→bb) and top(→bjj) objects can be tagged!
R=0.4 (btagged) R=0.4 (btagged) R=1.0
Top tagged rcjet Higgs tagged rcjet BDT input variables
Backup
Shunsuke Honda (U Tsukuba)
2018/03/27
MEM and LHD
LHD
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Data / Pred.
0.5 0.75 1 1.25 1.5
Events / bin 50 100 150 200 250 300 350 400 450 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
1
6j ≥
SR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t Pre-Fit Bkgd.
D1
1 / (1 + exp(-MEM
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Data / Pred.
0.5 0.75 1 1.25 1.5
Events / bin 50 100 150 200 250 300 350 400 450 ATLAS
= 13 TeV, 36.1 fb s Single Lepton
1
6j ≥
SR Post-Fit Data H t t + light t t 1c ≥ + t t 1b ≥ + t t + V t t t Non-t Total unc. H (norm) t t Pre-Fit Bkgd.