Background Examination
Continuity Check
April 11, 2007
Things we checked:
- The shape of the shoulder is dependent on Dijet Mass:
- The shape is not dependent on lepton type:
- The shape does not wholly depend on the weight:
- The shape is possibly correlated with the jet DeltaR? distribution:
- But ultimately not:
- Examination of jet1Pt vs. DijetMass? is sort of interesting:
- Same for jet2Pt vs. DijetMass? :
- Jet1Pt? vs. Jet2Pt? is as expected:
May 16, 2007
- Examination of Dijet Mass in bins of Dilepton Pt
Further Examination of High Dijet Mass Bump
- I've uploaded the root files that now contain the histograms (Dilepton_Pt > 140)
- The histograms you want to look at are:
- Jet_DelR
- Dijet_Pt
- JetEt1? /SumJetEt (Misnamed, actually is Jet1Pt? /(Jet1Pt? + Jet2Pt? ))
- JetEta1? _v_JetEta2
- There are other plots in there - most of which should be fairly self explanatory. The Dijet Mass plots follow the same definition as the plots I showed at the meeting.
- Some interesting plots we made out of there:
- Jet_Et for the first jet divided by the sum of the Et for both jets
- Jet_Et for the first jet
ALPGEN Analysis
- Dijet Mass spectrum for Pythia (red) and Alpgen (blue) for Lepton Pt in [170,200]:
This is the most pronounced evidence of a "bump" in the ALPGEN sample.
MC Results
Proper Ratios
| |
f5 = 0.0 |
f5 = 0.05 |
f5 = 0.1 |
f5 = 0.15 |
f5 = 0.2 |
f5 = 0.25 |
f5 = 0.3 |
| f4 = 0 |
0 : 0 |
0.204247 : 0.167489 |
0.819564 : 0.672583 |
1.22 |
1.22 |
1.22 |
1.22 |
| f4 = 0.05 |
0.246498 : 0.186207 |
0.449897 : 0.355066 |
1.06389 : 0.860652 |
2.09246 : 1.71062 |
3.52552 : 2.88894 |
5.358 : 4.39899 |
7.62863 : 6.27026 |
| f4 = 0.1 |
1.32 |
1.30 |
1.27 |
1.25 |
1.24 |
1.23 |
1.22 |
| f4 = 0.15 |
1.32 |
1.31 |
1.29 |
1.27 |
1.25 |
1.24 |
1.24 |
| f4 = 0.2 |
1.32 |
1.32 |
1.30 |
1.28 |
1.27 |
1.26 |
1.25 |
| f4 = 0.25 |
1.32 |
1.32 |
1.31 |
1.29 |
1.28 |
1.27 |
1.26 |
| f4 = 0.3 |
1.32 |
1.32 |
1.31 |
1.32 |
1.29 |
1.28 |
1.27 |
First Run Expectations
| |
f5 = 0.0 |
f5 = 0.05 |
f5 = 0.1 |
f5 = 0.15 |
f5 = 0.2 |
f5 = 0.25 |
f5 = 0.3 |
| f4 = 0 |
3.86041e+255 |
0.3838 |
0.7292 |
0.9341 |
0.9852 |
0.9947 |
0.9987 |
| f4 = 0.05 |
0.3838 |
0.5588 |
0.8082 |
0.9565 |
0.9871 |
0.9954 |
0.9989 |
| f4 = 0.1 |
0.7703 |
0.8367 |
0.9225 |
0.9783 |
0.9922 |
0.9969 |
0.9992 |
| f4 = 0.15 |
0.9538 |
0.9627 |
0.9819 |
0.9909 |
0.9958 |
0.9985 |
0.9994 |
| f4 = 0.2 |
0.99 |
0.9912 |
0.993 |
0.9959 |
0.9984 |
0.9992 |
0.9999 |
| f4 = 0.25 |
0.9965 |
0.997 |
0.9979 |
0.999 |
0.9992 |
0.9999 |
0.9999 |
| f4 = 0.3 |
0.9992 |
0.9992 |
0.9993 |
0.9997 |
0.9999 |
0.9999 |
1 |
Run II
July 20, 2007
Raw Cross-Sections
Lambda = 1.2
TeV? , f-gamma
| Coupling |
Sigma |
Sigma2 |
SM |
| f4 = -0.2 |
0.0196 |
| f4 = -0.1 |
0.01803 |
0.0180 |
0.0274 |
| f4 = -0.05 |
0.01885 |
0.0189 |
0.0282 |
| f4 = 0.2 |
0.0394 |
Lambda = 1.2
TeV? , f-Z
Lambda = 1.0
TeV? f-Z
Lambda = 1.5
TeV? , f-Z
Lambda = 2.0
TeV? , f-Z
g77 -O6 -fno-emulate-complex -fno-globals -Wno-globals -ffast-math -malign-double -march=pentiumpro -ffixed-line-length-none -funroll-all-loops -c *.f
g77 -O6 -fno-emulate-complex -fno-globals -Wno-globals -ffast-math -malign-double -march=pentiumpro -ffixed-line-length-none -funroll-all-loops -o zz zzll_my.o zz_core_my.o zz_out_my.o rndm2.o -L/home/cdfsoft/products/cern/2004/Linux+2.4/lib -L/home/cdfsoft/products/cern/2004/Linux+2.4/lib -lpdflib804 -lmathlib -lpacklib -lkernlib -lnsl
Tests, 2007/08/02
No events:
Data ratio: 0.000350729
Data ratio: 0.451163
Data ratio: 0.786528
Data ratio: 2.39209
Data ratio: 0
Data ratio: 0.0658364
Data ratio: 1.1027
Data ratio: 0.834075
Data ratio: 1.93327
Data ratio: 4.08437
Average: 1.16
Adjusted Average: 0.946
Zero with Expected Background:
Data ratio: 0.676032
Data ratio: 1.13687e-13
Data ratio: 2.00936
Data ratio: 2.17388
Data ratio: 6.38933
Data ratio: 0.446515
Data ratio: 0
Data ratio: 0
Data ratio: 0
Data ratio: 3.96031
Data ratio: 0.812209
Average: 1.57
Adjusted Average: 1.16
Zero with Actual Background:
Data ratio: 1.0477
Data ratio: 0.988558
Data ratio: 0.785196
Data ratio: 0.252724
Data ratio: 6.82121e-13
Data ratio: 0.0295444
Data ratio: 1.30242
Data ratio: 0.386503
Data ratio: 0.513615
Data ratio: 0.442242
Average: 0.575
Adjusted Average: 0.556
Pythia with Nominal Background:
Data ratio: 0.110094
Data ratio: 2.30951
Data ratio: 1.02628
Data ratio: 0.984527
Data ratio: 0.119939
Data ratio: 0.000717334
Data ratio: 0
Data ratio: 1.13687e-13
Data ratio: 0.761444
Data ratio: 0.211747
Average: 0.558
Adjusted Average: 0.401
Pythia with SM Background and Adjusted Background:
Data ratio: 1.63194
Data ratio: 1.87738
Data ratio: 2.43846
Data ratio: 1.92923
Data ratio: 0.484076
Data ratio: 0.0959782
Data ratio: 9.61196
Data ratio: 0.629361
Data ratio: 3.81692
Data ratio: 6.38169
Average: 2.89
Adjusted Average: 2.40
f4Z = 0.6 with Predicted Background
Data ratio: 4.96251
Data ratio: 7.48356
Data ratio: 1.32918
Data ratio: 4.882
Data ratio: 2.51209
Data ratio: 0.233948
Data ratio: 6.38477
Data ratio: 4.6551
Data ratio: 0.0918978
Data ratio: 5.38944
Average: 3.30
Adjusted Average: 3.19
f4Z = 0.6 with Actual Background:
Data ratio: 7.17961
Data ratio: 9.42748
Data ratio: 4.0951
Data ratio: 5.85768
Data ratio: 9.79299
Data ratio: 2.66742
Data ratio: 0.467711
Data ratio: 4.0951
Data ratio: 0.283985
Data ratio: 0.264106
Average: 4.41
Adjusted Average: 4.26
f4Z = 0.1 with Actual Background:
Data ratio: 11.0727
Data ratio: 11.4952
Data ratio: 3.60732
Data ratio: 4.21084
Data ratio: 3.06311
Data ratio: 0.130594
Data ratio: 13.1104
Data ratio: 0
Data ratio: 11.6996
Data ratio: 2.70461
Average: 6.10
Adjusted Average: 6.00
Adding (3,1):
Data ratio: 0.0478989
Data ratio: 0.295398
Data ratio: 0.0340484
Data ratio: 0
Data ratio: 0
Data ratio: 0.210963
Data ratio: 0.00625506
Data ratio: 0.0228551
Data ratio: 0.228788
Data ratio: 0.259142
Average: 0.11
Adding (4,3):
Data ratio: 0.721968
Data ratio: 0.260708
Data ratio: 0.187294
Data ratio: 0.36826
Data ratio: 0.40269
Data ratio: 0.309921
Data ratio: 0.21143
Data ratio: 1.42829
Data ratio: 0.569106
Data ratio: 0.159518
Average: 0.46
--
MatthewNorman - 11 Apr 2007
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