Information
Analysers:
- Janos Karancsi - PhD student (ATOMKI & UNIDEB, Debrecen, HU)
- Viktor veszpremi - PhD (Wigner, Budapest, HU)
- Petar Maksimovic - Prof. PhD (Johns Hopkins University, Baltimore, US)
- Brandon Chiarito - Student (Johns Hopkins University, Baltimore, US)
Links:
For a lot of results we share a common elog with the JHU group:
JHU elog
Twikis:
Useful info:
Papers, Notes:
Links |
Date |
Author |
Title |
Comment |
arXiv:physics/0308063 |
2003 |
G. Punzi |
Sensitivity of searches for new signals and its optimization |
CMS PAS JME-09-001 |
2009 |
CMS |
A Cambridge-Aachen (C-A) based Jet Algorithm for boosted top-jet tagging |
arXiv:1011.2268 |
2010 |
J. Thaler, K. V. Tilburg |
Identifying Boosted Objects with N-subjettiness |
tau variables (N-sj.), Mistag rates, tagging efficiencies |
arXiv:1006.2833 |
2010 |
T. Plehn et. al |
Stop Reconstruction with Tagged Tops |
CMS-PAS-B2G-12-006 (Twiki ) |
2013 |
CMS |
Search for Anomalous Top Quark Pair Production in the Boosted All-Hadronic Final State |
Mistag rate of top tagging algo, Multijet bkg estimation |
CMS-PAS-B2G-12-006 (Twiki ) |
2013 |
CMS |
Search for ttbar resonances in semileptonic final state |
2D cut for semi-leptonic top |
CMS-PAS-JME-13-007 |
2014 february |
CMS |
Boosted Top Jet Tagging at CMS |
SUS-14-007 (Approval ) |
2015 |
Razor group |
Search for SUSY with boosted W's using the razor variables |
Presentations:
- Top Tagging at 13 TeV
- JMAR Meeting, March 11, 2015
- Update on Differential tt Cross Section with Boosted Tops
- Top Cross Section Meeting, July 24, 2014
- Jet Substructure Hands-on Advanced Tutorial Session
- LPC, June 18-19, 2014
- Physics performance and potentials of boosted topologies
- CMS Physics week, February 24, 2014
- QCD-Multijet Background Modelling Using The ABCD Method
- ttH meeting, February 28, 2013
- Background Estimation Methods (ABCD - slide 8)
Important results
Links to latest results
Object/Event selections
Object definitions
All objects come from
MiniAOD slimmed Pat collections:
MiniAOD objects
Jets
Anti-kt algorithm jets with cone size: R=0.8,
B2G baseline cuts:
- pT > 100 GeV /c
- | eta | < 4
Electrons
gedGsfElectrons with cuts (
B2G baseline: pT > 30
GeV /c, |eta | < 2.5):
- pT > 35 GeV /c
- | eta | < 2.5
Muons
muons with cuts (
B2G baseline: pT > 30
GeV /c, |eta | < 2.5)
- pT > 45 GeV /c
- | eta | < 2.1
- tight ID
MET
type1 PF MET
Event Selection
Exactly 2 AK8 Jets with cuts (loose hadronic top selection):
- pT > 400 GeV /c
- tau3 / tau2 < 0.75
- Pruned Mass > 140 Gev/c^2
Signal selection cuts (See below)
- R (Razor variable) - Recipe
- Calculated for jets with | eta | < 3
- H_T,all = Sum ( AK8Jet pT ) + Sum ( Lepton pT ) + MET
- DPhi = | DeltaPhi ( top_had1, top_had2 ) |
Signal Selection
Cut flow chart
Best cuts using Smin maximisation script - New
- 2 Hadronic tops
- Loose lepton veto
Maximum Smin, for all combination of cuts:
Best cut |
T5ttttDeg 4bodydec mGo1300 |
T5ttttDeg 3bodydec mGo1300 |
QCD_HT |
QCD_Pt bcToE |
TTBar |
GJets_HT |
WJets_HT |
T_tW |
TToLep_s_t |
ZJets_HT |
DYJets_HT |
All bg |
Smin = Eff./(5/2+sqrt(B)) |
No cut |
16.46 |
16.81 |
13569.47 |
44965.06 |
5257.04 |
194.89 |
35.20 |
49.68 |
1.72 |
6.81 |
4.32 |
64084.20 |
0.00391 |
HTall>2550 |
4.64 |
4.20 |
374.39 |
0.00 |
312.57 |
10.38 |
3.48 |
3.57 |
0.00 |
0.74 |
0.29 |
705.42 |
0.00861 |
DPhi<1.6 |
3.09 |
3.06 |
54.46 |
0.00 |
158.98 |
1.30 |
0.25 |
2.15 |
0.00 |
0.15 |
0.05 |
217.34 |
0.01055 |
R>0.44 |
7.99 |
7.36 |
0.00 |
0.00 |
2.69 |
0.00 |
0.35 |
0.00 |
0.00 |
0.14 |
0.03 |
3.22 |
0.10194 |
DPhi<2.7 && HTall>2100 |
7.64 |
6.74 |
197.41 |
0.00 |
301.79 |
5.53 |
1.77 |
2.86 |
0.00 |
0.47 |
0.18 |
510.00 |
0.01598 |
R>0.44 && HTall>1200 |
7.98 |
7.36 |
0.00 |
0.00 |
2.69 |
0.00 |
0.35 |
0.00 |
0.00 |
0.14 |
0.03 |
3.22 |
0.10194 |
R>0.35 && DPhi<2.8 |
10.02 |
9.84 |
0.00 |
0.00 |
0.00 |
0.05 |
0.61 |
0.00 |
0.00 |
0.32 |
0.02 |
1.00 |
0.16734 |
R>0.32 && DPhi<2.8 && HTall>1450 |
10.51 |
10.18 |
0.00 |
0.00 |
0.00 |
0.05 |
0.66 |
0.00 |
0.00 |
0.36 |
0.01 |
1.08 |
0.17126 |
Using cuts:
Manual cuts are ( R > 0.4 && DPhi < 2.8 && HTall > 0 )
Background Estimation
Signal selection cuts:
- 2 Hadronic tops
- Loose lepton veto
- R > 0.4
- DPhi < 2.8
Introducing the method
ABCD Method:
- Define NTop<2 sideband, where the sideband is defined as 2 loose top-like jets:
- Has at least 2 AK8 jets with pt > 400, prunedMass > 100
- Sideband cut: NTopHad < 2
- Measure event yields in the R<0.4 sideband both for A) NTop<2 and C) NTop==2
- Fit NTop<2 sideband (A, B) with an exponential decay curve: exp(const + x * slope)
- Extract fit parameters and their error: const, slope
- Scale function by the event yield ratio C/A to get Signal region prediction: D
Recipe to plot very similar distributions by hand (for leading and subleading jets):
root -l
TChain c("c");
c.Add("/data/gridout/jkarancs/SusyAnalysis/B2G/TTreeNtuple/Feb28_edm_Feb20/WJetsToLNu_HT-600toInf/*.root/B2GTTreeMaker/B2GTree");
c.Draw("evt_R","jetAK8_Pt[0]>400&&jetAK8_Pt[1]>400&&jetAK8_prunedMass[0]>100&&jetAK8_prunedMass[1]>100&&evt_NTopHad<2");
c.Draw("evt_R","evt_NTopHad==2","SAME")
c.Draw("evt_R","evt_NTopHad==2&&evt_TTHadDPhi<2.8","SAME")
Plots - Extrapolation of R shape using an exponential fit in the NTop<2 SideBand
TTbar |
QCD |
Comment |
|
|
R shape fit with exponential in the Ntop<2 sideband and NTop==2 signal bands. Range [0.15,1.0] for sideband, [0.15,0.4] for signal band. |
W+Jets |
Z+Jets --> NuNu |
Comment |
|
|
R shape fit with exponential in the Ntop<2 sideband and NTop==2 signal bands. Range [0.15,1.0] for sideband, [0.15,0.4] for signal band, except for WJets for which low range is 0.2. |
G + Jets |
Single top (tW channel) |
Comment |
|
|
R shape fit with exponential in the Ntop<2 sideband and NTop==2 signal bands. Range [0.15,1.0] for sideband, [0.15,0.4] for signal band. |
DY + Jets |
Comment |
|
R shape fit with exponential in the Ntop<2 sideband and NTop==2 signal bands. Range [0.15,1.0] for sideband, [0.15,0.4] for signal band. |
Table
To see how much background is there with
given
statistics:
- No lepton veto applied
- For TTBar and QCD, Sideband is in the DPhi>2.8 region instead of NTop<2
Sample |
A (R<0.4, Sideband) |
B (R fit in Sideband) pred. |
B (R>0.4, Sideband) |
C (R<0.4, Signal band) |
D (R fit in C) pred. |
D = B*C/A pred. |
D = B (R fit in Sideband) * C/A |
D (R>0.4, Signal band) obs. |
Nevent in D |
TTBar |
5914.51 +- 126.24 |
22.07 +- 2.50 |
43.11 +- 10.78 |
1678.70 +- 67.26 |
3.16 +- 1.05 |
12.24 +- 3.11 |
6.26 +- 0.76 |
2.69 +- 2.69 |
1 |
WJets_HT |
623.37 +- 5.61 |
39.91 +- 4.54 |
38.43 +- 1.39 |
13.69 +- 0.83 |
1.14 +- 1.67 |
0.84 +- 0.06 |
0.88 +- 0.11 |
0.86 +- 0.21 |
17 |
ZJets_HT |
71.62 +- 0.81 |
15.56 +- 3.38 |
17.16 +- 0.40 |
1.43 +- 0.11 |
0.41 +- 1.50 |
0.34 +- 0.03 |
0.31 +- 0.07 |
0.27 +- 0.05 |
29 |
QCD_HT |
13412.90 +- 302.17 |
0.90 +- 0.12 |
0.00 +- 0.00 |
1493.78 +- 100.84 |
0.29 +- 0.18 |
0.00 +- 0.00 |
0.10 +- 0.01 |
0.00 +- 0.00 |
0 |
T_tW |
395.02 +- 11.84 |
5.26 +- 1.51 |
7.16 +- 1.59 |
14.64 +- 2.28 |
0.15 +- 1.40 |
0.27 +- 0.07 |
0.19 +- 0.06 |
0.00 +- 0.00 |
0 |
DYJets_HT |
160.98 +- 0.88 |
0.27 +- 0.24 |
0.79 +- 0.06 |
3.92 +- 0.14 |
0.00 +- 0.02 |
0.02 +- 0.00 |
0.01 +- 0.01 |
0.01 +- 0.01 |
2 |
SUM |
20578.41 +- 327.74 |
83.97 +- 6.37 |
106.65 +- 10.99 |
3206.15 +- 121.23 |
5.15 +- 2.85 |
13.71 +- 9.68 |
7.75 +- 0.78 |
3.83 +- 2.70 |
49 |
Below test of clusure with slightly relaxed R cut:
- R cut is relaxed to > 0.35
Sample |
A (R<0.4, Sideband) |
B (R fit in Sideband) pred. |
B (R>0.4, Sideband) |
C (R<0.4, Signal band) |
D (R fit in C) pred. |
D = B*C/A pred. |
D = B (R fit in Sideband) * C/A |
D (R>0.4, Signal band) obs. |
Nevent in D |
TTBar |
5863.31 +- 125.69 |
53.73 +- 4.96 |
94.31 +- 15.94 |
1665.22 +- 66.99 |
8.38 +- 2.27 |
26.78 +- 4.69 |
15.26 +- 1.57 |
10.78 +- 5.39 |
4 |
WJets_HT |
595.03 +- 5.48 |
61.78 +- 5.99 |
63.43 +- 1.79 |
13.33 +- 0.82 |
1.66 +- 2.04 |
1.42 +- 0.10 |
1.38 +- 0.16 |
1.26 +- 0.25 |
25 |
ZJets_HT |
63.04 +- 0.76 |
23.05 +- 4.25 |
25.43 +- 0.48 |
1.28 +- 0.11 |
0.59 +- 1.56 |
0.52 +- 0.05 |
0.47 +- 0.10 |
0.40 +- 0.06 |
43 |
QCD_HT |
13412.90 +- 302.17 |
4.21 +- 0.44 |
0.00 +- 0.00 |
1493.78 +- 100.84 |
1.10 +- 0.57 |
0.00 +- 0.00 |
0.47 +- 0.06 |
0.00 +- 0.00 |
0 |
T_tW |
388.23 +- 11.74 |
10.33 +- 2.46 |
12.16 +- 2.08 |
14.64 +- 2.28 |
0.31 +- 2.45 |
0.46 +- 0.11 |
0.39 +- 0.11 |
0.00 +- 0.00 |
0 |
DYJets_HT |
160.12 +- 0.88 |
0.72 +- 0.52 |
1.55 +- 0.09 |
3.90 +- 0.14 |
0.01 +- 0.04 |
0.04 +- 0.00 |
0.02 +- 0.01 |
0.03 +- 0.01 |
6 |
SUM |
20482.65 +- 327.52 |
153.83 +- 9.22 |
196.88 +- 16.18 |
3192.16 +- 121.08 |
12.04 +- 4.25 |
29.22 +- 22.01 |
17.99 +- 1.59 |
12.47 +- 5.40 |
78 |
Main backgrounds identified on tested samples - TTBar, QCD, W+Jets
http://hep.pha.jhu.edu:8080/susy/230
QCD background estimation technique
http://hep.pha.jhu.edu:8080/susy/115
Estimation of Uncertainties
--
JanosKarancsi - 2015-02-26