11 |
|
\begin{figure}[!h] |
12 |
|
\begin{center} |
13 |
|
\begin{tabular}{cc} |
14 |
< |
\includegraphics[width=0.6\textwidth]{plots/pfmet_all.pdf} |
14 |
> |
\includegraphics[width=0.6\textwidth]{plots/pfmet_all_19p5fb.pdf} |
15 |
|
\end{tabular} |
16 |
|
\caption{Results of the inclusive analysis. The observed \MET\ distribution (black points) is compared with the sum of the predicted \MET\ |
17 |
|
distributions from \zjets, flavor-symmetric backgrounds, and WZ+ZZ backgrounds. The ratio of observed to predicted yields in each bin is |
35 |
|
\hline |
36 |
|
\hline |
37 |
|
|
38 |
< |
\begin{comment} |
39 |
< |
Using pfmet out-of-the-box |
40 |
< |
WZ/ZZ selection : ((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))&&(ngennu>0))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(dilmass>81 && dilmass<101))&&(njets>=2))&&(lep1.pt()>20.0 && lep2.pt()>20.0) |
41 |
< |
WZ/ZZ weight : weight * 9.2 * vtxweight * trgeff |
42 |
< |
Opening ../output/V00-01-04/babylooper_data_ALL_53X_PhotonStitchedTemplate_pfmet.root |
43 |
< |
B-veto? 0 |
44 |
< |
K 0.14 |
45 |
< |
ee+mm channels: scale em yield by 0.99 |
46 |
< |
Yields in 0-60 GeV region |
47 |
< |
data : 249746 |
48 |
< |
gjets : 251562 |
49 |
< |
OF : 1439.5 |
50 |
< |
WZ : 166.254 |
51 |
< |
ZZ : 23.7736 |
52 |
< |
Rare : 15.776 |
53 |
< |
Scaling gjets by : 0.986239 |
54 |
< |
SF events 254447 |
55 |
< |
OF events 21285 |
38 |
> |
%Using pfmet out-of-the-box |
39 |
> |
%DON'T Apply mjj cut in templates |
40 |
> |
%WZ/ZZ selection : ((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))&&(ngennu>0))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(dilmass>81 && dilmass<101))&&(njets>=2))&&(lep1.pt()>20.0 && lep2.pt()>20.0) |
41 |
> |
%WZ/ZZ weight : weight * 19.5 * vtxweight * trgeff |
42 |
> |
%Opening ../output/V00-02-13/babylooper_data_53X_2012ALL_PhotonStitchedTemplate_pfmet.root |
43 |
> |
%B-veto? 0 |
44 |
> |
%K 0.14 |
45 |
> |
%ee+mm channels: scale em yield by 0.97 |
46 |
> |
%Yields in 0-60 GeV region |
47 |
> |
%data : 410573 |
48 |
> |
%gjets : 414209 |
49 |
> |
%OF : 2861.58 |
50 |
> |
%WZ : 295.321 |
51 |
> |
%ZZ : 38.722 |
52 |
> |
%Rare : 31.0719 |
53 |
> |
%Scaling gjets by : 0.983432 |
54 |
> |
%SF events 419687 |
55 |
> |
%OF events 43832 |
56 |
|
|
57 |
< |
ee/#mu#mu events |
58 |
< |
\end{comment} |
57 |
> |
%ee/#mu#mu events |
58 |
> |
|
59 |
> |
\hline |
60 |
> |
\hline |
61 |
|
& \MET\ 0--30 GeV & \MET\ 30--60 GeV & \MET\ 60--100 GeV &\MET\ 100--200 GeV &\MET\ 200--300 GeV & \MET\ $>$ 300 GeV \\ |
62 |
|
\hline |
63 |
< |
\zjets\ bkg &190111 $\pm$ 57034 & 57989 $\pm$ 17398 & 2744 $\pm$ 824 & 123 $\pm$ 37 & 7.4 $\pm$ 2.4 & 1.3 $\pm$ 0.5 \\ |
64 |
< |
FS bkg & 492 $\pm$ 77 & 947 $\pm$ 147 & 981 $\pm$ 152 & 503 $\pm$ 78 & 23.6 $\pm$ 7.1 & 3.0 $\pm$ 1.9 \\ |
65 |
< |
WZ bkg & 61.5 $\pm$ 43.0 & 104.8 $\pm$ 73.4 & 75.4 $\pm$ 52.8 & 41.2 $\pm$ 28.8 & 5.6 $\pm$ 3.9 & 1.6 $\pm$ 1.6 \\ |
66 |
< |
ZZ bkg & 7.6 $\pm$ 3.8 & 16.2 $\pm$ 8.1 & 17.4 $\pm$ 8.7 & 16.1 $\pm$ 8.1 & 3.2 $\pm$ 1.6 & 1.0 $\pm$ 1.0 \\ |
67 |
< |
rare SM bkg & 5.1 $\pm$ 2.5 & 10.7 $\pm$ 5.4 & 10.4 $\pm$ 5.2 & 9.1 $\pm$ 4.6 & 1.7 $\pm$ 0.8 & 0.6 $\pm$ 0.6 \\ |
68 |
< |
\hline |
69 |
< |
total bkg &190678 $\pm$ 57034 & 59068 $\pm$ 17398 & 3829 $\pm$ 840 & 692 $\pm$ 92 & 41.5 $\pm$ 8.7 & 7.5 $\pm$ 2.7 \\ |
70 |
< |
data & 190793 & 58953 & 3921 & 733 & 42 & 5 \\ |
71 |
< |
significance & 0.0$\sigma$ & -0.0$\sigma$ & 0.1$\sigma$ & 0.4$\sigma$ & 0.0$\sigma$ & \\ |
63 |
> |
\zjets\ bkg &308067 $\pm$ 92421 & 99280 $\pm$ 29785 & 5155 $\pm$ 1547 & 238 $\pm$ 72 & 11.6 $\pm$ 3.6 & 2.8 $\pm$ 1.0 \\ |
64 |
> |
FS bkg & 972 $\pm$ 151 & 1889 $\pm$ 293 & 2022 $\pm$ 314 & 1011 $\pm$ 157 & 50.7 $\pm$ 15.0 & 7.2 $\pm$ 4.3 \\ |
65 |
> |
WZ bkg & 108.9 $\pm$ 54.5 & 186.4 $\pm$ 93.2 & 137.7 $\pm$ 68.9 & 78.7 $\pm$ 39.3 & 11.1 $\pm$ 5.6 & 3.1 $\pm$ 3.1 \\ |
66 |
> |
ZZ bkg & 12.1 $\pm$ 6.1 & 26.6 $\pm$ 13.3 & 29.8 $\pm$ 14.9 & 29.8 $\pm$ 14.9 & 6.2 $\pm$ 3.1 & 2.0 $\pm$ 2.0 \\ |
67 |
> |
Rare SM bkg & 10.1 $\pm$ 5.1 & 21.0 $\pm$ 10.5 & 20.6 $\pm$ 10.3 & 17.9 $\pm$ 9.0 & 3.2 $\pm$ 1.6 & 1.1 $\pm$ 1.1 \\ |
68 |
> |
\hline |
69 |
> |
Total background &309170 $\pm$ 92421 &101403 $\pm$ 29786 & 7365 $\pm$ 1580 & 1375 $\pm$ 178 & 82.8 $\pm$ 16.8 & 16.2 $\pm$ 5.8 \\ |
70 |
> |
Data & 311030 & 99543 & 7578 & 1450 & 79 & 7 \\ |
71 |
> |
% Significance & 0.0$\sigma$ & -0.1$\sigma$ & 0.1$\sigma$ & 0.4$\sigma$ & -0.2$\sigma$ & -1.4$\sigma$ \\ |
72 |
|
\hline |
73 |
|
\hline |
74 |
+ |
|
75 |
+ |
%float Zbkg_yield[nbins] = { 237.6 , 11.6 , 2.8 }; |
76 |
+ |
%float Zbkg_err[nbins] = { 71.7 , 3.6 , 1.0 }; |
77 |
+ |
%float OFbkg_yield[nbins] = { 1011.4 , 50.7 , 7.2 }; |
78 |
+ |
%float OFbkg_err[nbins] = { 157.2 , 15.0 , 4.3 }; |
79 |
+ |
%float WZbkg_yield[nbins] = { 78.7 , 11.1 , 3.1 }; |
80 |
+ |
%float WZbkg_err[nbins] = { 39.3 , 5.6 , 3.1 }; |
81 |
+ |
%float ZZbkg_yield[nbins] = { 29.8 , 6.2 , 2.0 }; |
82 |
+ |
%float ZZbkg_err[nbins] = { 14.9 , 3.1 , 2.0 }; |
83 |
+ |
%float rarebkg_yield[nbins] = { 17.9 , 3.2 , 1.1 }; |
84 |
+ |
%float rarebkg_err[nbins] = { 9.0 , 1.6 , 1.1 }; |
85 |
+ |
%int data_yield[nbins] = { 1450 , 79 , 7 }; |
86 |
+ |
|
87 |
|
\end{tabular} |
88 |
|
\end{center} |
89 |
|
\end{table} |
98 |
|
\begin{figure}[!h] |
99 |
|
\begin{center} |
100 |
|
\begin{tabular}{cc} |
101 |
< |
\includegraphics[width=0.5\textwidth]{plots/pfmet_bvetoMedium_all.pdf} |
101 |
> |
\includegraphics[width=0.5\textwidth]{plots/pfmet_bveto_all_19p5fb.pdf} |
102 |
|
\end{tabular} |
103 |
< |
\caption{Results of the targeted analysis. The observed \MET\ distribution (black points) is compared with the sum of the predicted \MET\ |
104 |
< |
distributions from \zjets, flavor-symmetric, WZ+ZZ, and rare SM backgrounds. The ratio of observed to predicted yields in each bin is |
103 |
> |
\caption{Results of the $\rm{Z}+{dijet}$ analysis. The observed $\rm{E_{T}^{miss}}$ distribution (black points) is compared with the sum of the predicted $\rm{E_{T}^{miss}}$ |
104 |
> |
distributions from $\rm{Z}+\rm{jets}$, flavor-symmetric (FS), sum of WZ and ZZ (WZ+ZZ), and rare SM backgrounds. The ratio of observed to predicted yields in each bin is |
105 |
|
indicated. The error bars indicate the statistical uncertainty in the data and the shaded band indicates the total background uncertainty. |
106 |
|
\label{fig:results_targ} |
107 |
|
} |
119 |
|
and total background is indicated for signal regions with at least 20 observed events. } |
120 |
|
\begin{tabular}{l|c|c|c|c} |
121 |
|
|
122 |
< |
\hline |
123 |
< |
\hline |
122 |
> |
%Using pfmet out-of-the-box |
123 |
> |
%Apply mjj cut in templates |
124 |
> |
%WZ/ZZ selection : ((((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))&&(ngennu>0))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(dilmass>81 && dilmass<101))&&(njets>=2))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==2))&&(mjj>70.0 && mjj<110.0) |
125 |
> |
%WZ/ZZ weight : weight * 19.5 * vtxweight * trgeff |
126 |
> |
%Opening ../output/V00-02-13/babylooper_data_53X_2012ALL_PhotonStitchedTemplate_pfmet_bveto_mjjcut.root |
127 |
> |
%B-veto? 1 |
128 |
> |
%K 0.13 |
129 |
> |
%ee+mm channels: scale em yield by 0.97 |
130 |
> |
%Yields in 0-60 GeV region |
131 |
> |
%data : 97293 |
132 |
> |
%gjets : 97486.1 |
133 |
> |
%OF : 166.578 |
134 |
> |
%WZ : 47.4321 |
135 |
> |
%ZZ : 9.52458 |
136 |
> |
%Rare : 2.79426 |
137 |
> |
%Scaling gjets by : 0.995697 |
138 |
> |
%SF events 98295 |
139 |
> |
%OF events 2313 |
140 |
> |
|
141 |
> |
%ee/#mu#mu events |
142 |
|
|
110 |
– |
& \MET\ 0--30 GeV & \MET\ 30--60 GeV & \MET\ 60--80 GeV & \MET\ 80--100 GeV \\ |
143 |
|
\hline |
144 |
< |
\zjets\ bkg & 52823 $\pm$ 15847 & 14015 $\pm$ 4205 & 433 $\pm$ 130 & 40.9 $\pm$ 12.4 \\ |
145 |
< |
FS bkg & 41.3 $\pm$ 7.2 & 49.5 $\pm$ 8.6 & 26.4 $\pm$ 4.7 & 17.9 $\pm$ 3.3 \\ |
146 |
< |
WZ bkg & 9.5 $\pm$ 6.6 & 15.9 $\pm$ 11.2 & 6.6 $\pm$ 4.7 & 3.9 $\pm$ 2.7 \\ |
147 |
< |
ZZ bkg & 2.1 $\pm$ 1.0 & 4.1 $\pm$ 2.1 & 2.2 $\pm$ 1.1 & 1.8 $\pm$ 0.9 \\ |
148 |
< |
rare SM bkg & 0.3 $\pm$ 0.2 & 0.7 $\pm$ 0.3 & 0.4 $\pm$ 0.2 & 0.3 $\pm$ 0.2 \\ |
149 |
< |
\hline |
150 |
< |
total bkg & 52876 $\pm$ 15847 & 14085 $\pm$ 4205 & 468 $\pm$ 130 & 64.7 $\pm$ 13.2 \\ |
151 |
< |
data & 52485 & 14476 & 510 & 56 \\ |
152 |
< |
significance & -0.0$\sigma$ & 0.1$\sigma$ & 0.3$\sigma$ & -0.6$\sigma$ \\ |
153 |
< |
|
154 |
< |
|
144 |
> |
\hline |
145 |
> |
& \MET\ 0--30 GeV & \MET\ 30--60 GeV & \MET\ 60--80 GeV & \MET\ 80--100 GeV \\ |
146 |
> |
\hline |
147 |
> |
\zjets\ bkg & 75652 $\pm$ 22696 & 21414 $\pm$ 6425 & 722 $\pm$ 217 & 68.9 $\pm$ 21.2 \\ |
148 |
> |
FS bkg & 69.9 $\pm$ 11.9 & 96.7 $\pm$ 16.3 & 48.3 $\pm$ 8.3 & 35.2 $\pm$ 6.2 \\ |
149 |
> |
WZ bkg & 17.7 $\pm$ 8.8 & 29.8 $\pm$ 14.9 & 13.0 $\pm$ 6.5 & 7.4 $\pm$ 3.7 \\ |
150 |
> |
ZZ bkg & 3.1 $\pm$ 1.5 & 6.4 $\pm$ 3.2 & 3.5 $\pm$ 1.8 & 3.2 $\pm$ 1.6 \\ |
151 |
> |
Rare SM bkg & 0.8 $\pm$ 0.4 & 2.0 $\pm$ 1.0 & 1.1 $\pm$ 0.6 & 0.9 $\pm$ 0.5 \\ |
152 |
> |
\hline |
153 |
> |
Total background & 75744 $\pm$ 22696 & 21549 $\pm$ 6425 & 788 $\pm$ 218 & 116 $\pm$ 22 \\ |
154 |
> |
Data & 76302 & 20991 & 809 & 115 \\ |
155 |
> |
% Significance & 0.0$\sigma$ & -0.1$\sigma$ & 0.1$\sigma$ & -0.0$\sigma$ \\ |
156 |
|
\hline |
157 |
|
\hline |
125 |
– |
|
158 |
|
&\MET\ 100--120 GeV &\MET\ 120--150 GeV &\MET\ 150--200 GeV & \MET\ $>$ 200 GeV \\ |
159 |
|
\hline |
160 |
< |
\zjets\ bkg & 7.0 $\pm$ 2.2 & 3.1 $\pm$ 0.9 & 1.6 $\pm$ 0.5 & 0.8 $\pm$ 0.3 \\ |
161 |
< |
FS bkg & 11.3 $\pm$ 2.2 & 6.9 $\pm$ 1.5 & 2.4 $\pm$ 1.1 & 0.4 $\pm$ 0.3 \\ |
162 |
< |
WZ bkg & 2.1 $\pm$ 1.5 & 1.6 $\pm$ 1.1 & 1.0 $\pm$ 0.7 & 0.5 $\pm$ 0.5 \\ |
163 |
< |
ZZ bkg & 1.0 $\pm$ 0.5 & 1.1 $\pm$ 0.6 & 0.8 $\pm$ 0.4 & 0.7 $\pm$ 0.7 \\ |
164 |
< |
rare SM bkg & 0.2 $\pm$ 0.1 & 0.3 $\pm$ 0.1 & 0.2 $\pm$ 0.1 & 0.2 $\pm$ 0.2 \\ |
165 |
< |
\hline |
166 |
< |
total bkg & 21.7 $\pm$ 3.5 & 13.0 $\pm$ 2.2 & 6.1 $\pm$ 1.5 & 2.5 $\pm$ 0.9 \\ |
167 |
< |
data & 24 & 16 & 3 & 1 \\ |
168 |
< |
significance & 0.4$\sigma$ & & & \\ |
160 |
> |
\zjets\ bkg & 7.8 $\pm$ 2.5 & 4.8 $\pm$ 1.5 & 2.1 $\pm$ 0.7 & 0.5 $\pm$ 0.1 \\ |
161 |
> |
FS bkg & 21.9 $\pm$ 4.0 & 13.2 $\pm$ 2.5 & 5.7 $\pm$ 1.6 & 0.8 $\pm$ 0.4 \\ |
162 |
> |
WZ bkg & 4.0 $\pm$ 2.0 & 3.3 $\pm$ 1.6 & 2.0 $\pm$ 1.0 & 0.9 $\pm$ 0.9 \\ |
163 |
> |
ZZ bkg & 1.9 $\pm$ 1.0 & 2.1 $\pm$ 1.1 & 1.5 $\pm$ 0.8 & 1.4 $\pm$ 1.4 \\ |
164 |
> |
Rare SM bkg & 0.4 $\pm$ 0.2 & 0.9 $\pm$ 0.5 & 0.6 $\pm$ 0.3 & 0.4 $\pm$ 0.4 \\ |
165 |
> |
\hline |
166 |
> |
Total background & 36.1 $\pm$ 5.2 & 24.3 $\pm$ 3.6 & 11.8 $\pm$ 2.2 & 3.9 $\pm$ 1.8 \\ |
167 |
> |
Data & 36 & 25 & 13 & 4 \\ |
168 |
> |
% Significance & -0.0$\sigma$ & 0.1$\sigma$ & 0.3$\sigma$ & 0.0$\sigma$ \\ |
169 |
|
\hline |
170 |
|
\hline |
171 |
|
|
172 |
+ |
|
173 |
+ |
%float Zbkg_yield[nbins] = { 68.9 , 7.8 , 4.8 , 2.1 , 0.5 }; |
174 |
+ |
%float Zbkg_err[nbins] = { 21.2 , 2.5 , 1.5 , 0.7 , 0.1 }; |
175 |
+ |
%float OFbkg_yield[nbins] = { 35.2 , 21.9 , 13.2 , 5.7 , 0.8 }; |
176 |
+ |
%float OFbkg_err[nbins] = { 6.2 , 4.0 , 2.5 , 1.6 , 0.4 }; |
177 |
+ |
%float WZbkg_yield[nbins] = { 7.4 , 4.0 , 3.3 , 2.0 , 0.9 }; |
178 |
+ |
%float WZbkg_err[nbins] = { 3.7 , 2.0 , 1.6 , 1.0 , 0.9 }; |
179 |
+ |
%float ZZbkg_yield[nbins] = { 3.2 , 1.9 , 2.1 , 1.5 , 1.4 }; |
180 |
+ |
%float ZZbkg_err[nbins] = { 1.6 , 1.0 , 1.1 , 0.8 , 1.4 }; |
181 |
+ |
%float rarebkg_yield[nbins] = { 0.9 , 0.4 , 0.9 , 0.6 , 0.4 }; |
182 |
+ |
%float rarebkg_err[nbins] = { 0.5 , 0.2 , 0.5 , 0.3 , 0.4 }; |
183 |
+ |
%int data_yield[nbins] = { 115 , 36 , 25 , 13 , 4 }; |
184 |
+ |
|
185 |
+ |
|
186 |
|
\end{tabular} |
187 |
|
\end{center} |
188 |
|
\end{table} |