>
> | - TTbar samples
| Sample |
A (0.2<R<0.4, <2 top) |
B (R>0.4, <2 top) |
C (0.2<R<0.4, 2 top) |
D = B*C/A pred. |
D (R>0.4, 2 top) obs. |
Ratio pred./obs. |
Pull (pred-obs)/error |
KS test |
| TTJetsHT600 |
25.18 +- 0.16 |
2.09 +- 0.05 |
12.49 +- 0.11 |
1.04 +- 0.03 |
0.82 +- 0.03 |
1.27 +- 0.05 |
5.70 |
0.00 |
| -> All Bkg. |
399.23 +- 13.06 |
9.45 +- 1.01 |
85.58 +- 5.61 |
2.03 +- 0.26 |
2.10 +- 0.18 |
0.97 +- 0.15 |
-0.22 |
0.00 |
| TTHerwig |
34.09 +- 1.90 |
2.43 +- 0.51 |
25.33 +- 1.63 |
1.80 +- 0.41 |
1.37 +- 0.38 |
1.31 +- 0.47 |
0.78 |
0.69 |
| -> All Bkg. |
408.13 +- 13.20 |
9.79 +- 1.13 |
98.41 +- 5.85 |
2.36 +- 0.32 |
2.65 +- 0.42 |
0.89 +- 0.18 |
-0.55 |
0.00 |
| TTPowhegPythia6 |
27.98 +- 1.77 |
1.80 +- 0.45 |
17.53 +- 1.40 |
1.13 +- 0.30 |
0.67 +- 0.28 |
1.67 +- 0.82 |
1.10 |
0.57 |
| -> All Bkg. |
402.02 +- 13.18 |
9.16 +- 1.11 |
90.61 +- 5.79 |
2.06 +- 0.29 |
1.95 +- 0.33 |
1.06 +- 0.23 |
0.25 |
0.00 |
| TTPowhegPythia8 |
41.90 +- 2.09 |
3.97 +- 0.64 |
23.09 +- 1.55 |
2.19 +- 0.40 |
1.25 +- 0.36 |
1.75 +- 0.60 |
1.73 |
0.27 |
| -> All Bkg. |
415.95 +- 13.23 |
11.33 +- 1.20 |
96.18 +- 5.82 |
2.62 +- 0.33 |
2.53 +- 0.40 |
1.03 +- 0.21 |
0.17 |
0.00 |
| TTJetsNLO |
54.79 +- 1.63 |
4.14 +- 0.45 |
32.94 +- 1.27 |
2.49 +- 0.30 |
1.80 +- 0.30 |
1.38 +- 0.28 |
1.64 |
0.00 |
| -> All Bkg. |
428.84 +- 13.16 |
11.50 +- 1.11 |
106.03 +- 5.75 |
2.84 +- 0.33 |
3.08 +- 0.35 |
0.92 +- 0.15 |
-0.50 |
0.00 |
| TTNLO |
88.22 +- 3.12 |
6.40 +- 0.84 |
51.78 +- 2.39 |
3.76 +- 0.54 |
2.54 +- 0.53 |
1.48 +- 0.37 |
1.61 |
0.00 |
| -> All Bkg. |
462.27 +- 13.43 |
13.77 +- 1.32 |
124.87 +- 6.10 |
3.72 +- 0.41 |
3.82 +- 0.56 |
0.97 +- 0.18 |
-0.14 |
0.00 |
- Use AK4 jets for R, a'la Razor recipe
Used Old JEC MC samples
This doesn't seem to work. The smaller cone size jets collect better all the hadronic activity, but the signal to background discrimination becomes worse. I think the reason might be that the larger cone size jet algorithm finds better the merged top jets, while AK4 fragments them. I tried tuning the cuts fo AK4 jet R, but for the same amount of background I got less singal events.
(I will also do a tt-pair R vs AK8 R comparison which might be useful)
- Try shrinking R control region from [0,0.4] to [~0.3,0.4]
R sideband: [0,0.4]
| Sample |
A (R<0.4, SB) |
B (R>0.4, SB) |
C (R<0.4, Sig.B.) |
D = B*C/A pred. |
D (R>0.4, Sig.B.) obs. |
Ratio pred./obs. |
Pull (pred-obs)/error |
KS test |
| TTJetsHT600 |
123.73 +- 0.35 |
2.09 +- 0.05 |
75.70 +- 0.27 |
1.28 +- 0.03 |
0.82 +- 0.03 |
1.57 +- 0.07 |
11.29 |
0.00 |
| WJets |
27.66 +- 0.55 |
2.36 +- 0.16 |
6.38 +- 0.27 |
0.54 +- 0.04 |
0.49 +- 0.07 |
1.12 +- 0.18 |
0.71 |
0.97 |
| ZJetsToNuNu |
3.92 +- 0.20 |
1.40 +- 0.12 |
0.72 +- 0.09 |
0.26 +- 0.04 |
0.30 +- 0.06 |
0.86 +- 0.21 |
-0.61 |
0.40 |
| SingleTop |
10.90 +- 0.96 |
0.71 +- 0.25 |
4.77 +- 0.64 |
0.31 +- 0.12 |
0.18 +- 0.13 |
1.75 +- 1.41 |
0.77 |
0.74 |
| TTV |
4.06 +- 0.08 |
0.18 +- 0.02 |
3.39 +- 0.07 |
0.15 +- 0.02 |
0.15 +- 0.02 |
1.00 +- 0.14 |
-0.02 |
0.27 |
| QCD |
6137.95 +- 48.17 |
2.63 +- 0.96 |
1209.73 +- 21.42 |
0.52 +- 0.19 |
0.14 +- 0.09 |
3.60 +- 2.64 |
1.78 |
0.76 |
| Diboson |
2.00 +- 0.25 |
0.09 +- 0.01 |
0.76 +- 0.17 |
0.03 +- 0.01 |
0.02 +- 0.01 |
1.60 +- 0.69 |
1.07 |
0.16 |
| Sum Bkg. |
6310.22 +- 48.19 |
9.45 +- 1.01 |
1301.45 +- 21.43 |
3.09 +- 0.06 |
2.10 +- 0.18 |
1.48 +- 0.13 |
5.24 |
- |
| All Bkg. |
6310.22 +- 48.19 |
9.45 +- 1.01 |
1301.45 +- 21.43 |
1.95 +- 0.21 |
2.10 +- 0.18 |
0.93 +- 0.13 |
-0.52 |
0.00 |
| T5ttttDeg _mGo1000_4bodydec |
5.46 +- 0.31 |
11.31 +- 0.44 |
6.02 +- 0.32 |
12.45 +- 1.08 |
11.82 +- 0.45 |
1.05 +- 0.10 |
0.53 |
0.34 |
R sideband: [0.3,0.4]
| Sample |
A (0.3<R<0.4, SB) |
B (R>0.4, SB) |
C (0.3<R<0.4, Sig.B.) |
D = B*C/A pred. |
D (R>0.4, Sig.B.) obs. |
Ratio pred./obs. |
Pull (pred-obs)/error |
KS test |
| TTJetsHT600 |
5.88 +- 0.08 |
2.09 +- 0.05 |
2.66 +- 0.05 |
0.94 +- 0.03 |
0.82 +- 0.03 |
1.16 +- 0.06 |
3.02 |
0.00 |
| WJets |
3.21 +- 0.18 |
2.36 +- 0.16 |
0.78 +- 0.09 |
0.58 +- 0.08 |
0.49 +- 0.07 |
1.19 +- 0.24 |
0.85 |
0.97 |
| ZJetsToNuNu |
1.01 +- 0.10 |
1.40 +- 0.12 |
0.22 +- 0.05 |
0.30 +- 0.08 |
0.30 +- 0.06 |
1.00 +- 0.31 |
-0.01 |
0.40 |
| SingleTop |
1.37 +- 0.34 |
0.71 +- 0.25 |
0.18 +- 0.13 |
0.09 +- 0.08 |
0.18 +- 0.13 |
0.52 +- 0.57 |
-0.58 |
0.74 |
| TTV |
0.29 +- 0.02 |
0.18 +- 0.02 |
0.25 +- 0.02 |
0.16 +- 0.02 |
0.15 +- 0.02 |
1.02 +- 0.18 |
0.13 |
0.27 |
| QCD |
27.39 +- 3.79 |
2.63 +- 0.96 |
6.81 +- 1.89 |
0.65 +- 0.31 |
0.14 +- 0.09 |
4.54 +- 3.62 |
1.56 |
0.76 |
| Diboson |
0.08 +- 0.01 |
0.09 +- 0.01 |
0.02 +- 0.00 |
0.02 +- 0.01 |
0.02 +- 0.01 |
1.02 +- 0.44 |
0.05 |
0.16 |
| Sum Bkg. |
39.23 +- 3.82 |
9.45 +- 1.01 |
10.91 +- 1.90 |
2.74 +- 0.12 |
2.10 +- 0.18 |
1.31 +- 0.13 |
2.97 |
- |
| All Bkg. |
39.23 +- 3.82 |
9.45 +- 1.01 |
10.91 +- 1.90 |
2.63 +- 0.59 |
2.10 +- 0.18 |
1.25 +- 0.30 |
0.86 |
0.00 |
| T5ttttDeg _mGo1000_4bodydec |
3.22 +- 0.24 |
11.31 +- 0.44 |
3.80 +- 0.26 |
13.37 +- 1.43 |
11.82 +- 0.45 |
1.13 +- 0.13 |
1.03 |
0.34 |
R sideband: [0.2,0.4] - DPhi<2.7
| Sample |
A (0.2<R<0.4, <2 top) |
B (R>0.4, <2 top) |
C (0.2<R<0.4, 2 top) |
D = B*C/A pred. |
D (R>0.4, 2 top) obs. |
Ratio pred./obs. |
Pull (pred-obs)/error |
KS test |
| TTJetsHT600 |
25.18 +- 0.16 |
2.09 +- 0.05 |
12.49 +- 0.11 |
1.04 +- 0.03 |
0.82 +- 0.03 |
1.27 +- 0.05 |
5.70 |
0.00 |
| WJets |
9.99 +- 0.33 |
2.36 +- 0.16 |
2.33 +- 0.16 |
0.55 +- 0.05 |
0.49 +- 0.07 |
1.13 +- 0.20 |
0.72 |
0.97 |
| ZJetsToNuNu |
2.13 +- 0.15 |
1.40 +- 0.12 |
0.43 +- 0.07 |
0.28 +- 0.05 |
0.30 +- 0.06 |
0.95 +- 0.25 |
-0.20 |
0.40 |
| SingleTop |
3.08 +- 0.50 |
0.71 +- 0.25 |
1.09 +- 0.30 |
0.25 +- 0.12 |
0.18 +- 0.13 |
1.42 +- 1.21 |
0.43 |
0.74 |
| TTV |
1.08 +- 0.04 |
0.18 +- 0.02 |
0.80 +- 0.04 |
0.13 +- 0.02 |
0.15 +- 0.02 |
0.89 +- 0.14 |
-0.80 |
0.27 |
| QCD |
357.37 +- 13.05 |
2.63 +- 0.96 |
68.30 +- 5.60 |
0.50 +- 0.19 |
0.14 +- 0.09 |
3.49 +- 2.58 |
1.71 |
0.76 |
| Diboson |
0.39 +- 0.08 |
0.09 +- 0.01 |
0.13 +- 0.06 |
0.03 +- 0.01 |
0.02 +- 0.01 |
1.46 +- 0.85 |
0.59 |
0.16 |
| Sum Bkg. |
399.23 +- 13.06 |
9.45 +- 1.01 |
85.58 +- 5.61 |
2.79 +- 0.06 |
2.10 +- 0.18 |
1.33 +- 0.12 |
3.63 |
- |
| All Bkg. |
399.23 +- 13.06 |
9.45 +- 1.01 |
85.58 +- 5.61 |
2.03 +- 0.26 |
2.10 +- 0.18 |
0.97 +- 0.15 |
-0.22 |
0.00 |
| T5ttttDeg _mGo1000_4bodydec |
4.84 +- 0.29 |
11.31 +- 0.44 |
5.34 +- 0.30 |
12.48 +- 1.14 |
11.82 +- 0.45 |
1.06 +- 0.10 |
0.53 |
0.34 |
This works! The TTbar prediction is closer to the actual values. I used [0.2, 0.4] bin so the statistical precision doesn't decrease, we need to have a little bit of compromise here to keep statistical error low but also having a better TTbar estimate. Signal contamination is also less in this bin.
- Show yields for all 8 boxes defined by 3-axis: R, Ntop, DPhi
R sideband: [0.2,0.4] - DPhi>2.7
| Sample |
A' (0.2<R<0.4, <2 top) |
B' (R>0.4, <2 top) |
C' (0.2<R<0.4, 2 top) |
D' = B'*C'/A' pred. |
D' (R>0.4, 2 top) obs. |
Ratio pred./obs. |
Pull (pred-obs)/error |
KS test |
| TTJetsHT600 |
52.76 +- 0.24 |
1.81 +- 0.04 |
23.89 +- 0.16 |
0.82 +- 0.02 |
0.83 +- 0.03 |
0.99 +- 0.04 |
-0.23 |
0.00 |
| WJets |
63.94 +- 0.80 |
1.87 +- 0.14 |
16.39 +- 0.41 |
0.48 +- 0.04 |
0.55 +- 0.08 |
0.87 +- 0.14 |
-0.80 |
0.00 |
| ZJetsToNuNu |
10.56 +- 0.33 |
0.46 +- 0.07 |
2.10 +- 0.15 |
0.09 +- 0.02 |
0.09 +- 0.03 |
0.97 +- 0.36 |
-0.07 |
1.00 |
| SingleTop |
9.80 +- 0.86 |
0.50 +- 0.19 |
3.90 +- 0.57 |
0.20 +- 0.08 |
0.36 +- 0.18 |
0.56 +- 0.36 |
-0.80 |
0.87 |
| TTV |
3.19 +- 0.07 |
0.13 +- 0.01 |
2.87 +- 0.07 |
0.12 +- 0.01 |
0.12 +- 0.01 |
0.98 +- 0.16 |
-0.13 |
0.00 |
| QCD |
5652.35 +- 66.00 |
7.34 +- 1.32 |
1215.43 +- 31.86 |
1.58 +- 0.29 |
1.86 +- 0.79 |
0.85 +- 0.39 |
-0.33 |
0.01 |
| Diboson |
3.01 +- 0.30 |
0.14 +- 0.06 |
1.08 +- 0.19 |
0.05 +- 0.02 |
0.04 +- 0.02 |
1.30 +- 0.79 |
0.41 |
0.71 |
| Sum Bkg. |
5795.61 +- 66.01 |
12.24 +- 1.35 |
1265.66 +- 31.87 |
3.33 +- 0.09 |
3.84 +- 0.81 |
0.87 +- 0.18 |
-0.62 |
- |
| All Bkg. |
5795.61 +- 66.01 |
12.24 +- 1.35 |
1265.66 +- 31.87 |
2.67 +- 0.30 |
3.84 +- 0.81 |
0.70 +- 0.17 |
-1.35 |
0.00 |
| Combined Bkg. |
|
|
|
3.45 +- 0.09 |
5.10 +- 0.66 |
0.68 +- 0.09 |
-2.48 |
- |
| T5ttttDeg _mGo1000_4bodydec |
5.90 +- 0.32 |
1.12 +- 0.14 |
7.69 +- 0.36 |
1.47 +- 0.21 |
1.24 +- 0.15 |
1.18 +- 0.22 |
0.86 |
0.79 |
|
