46 |
|
\Ht, and Z \pt in the \zjets\ event. The prediction for the \Z sample is simply the sum of all such templates. |
47 |
|
All templates are displayed in App.~\ref{app:templates}. |
48 |
|
|
49 |
< |
While there is in principle a small contribution from backgrounds other than \zjets\ in the preselection regions, |
50 |
< |
this contribution is only $\approx$3\% ($\approx$2\%) of the total sample in the inclusive search (targeted search), |
51 |
< |
as shown in Table~\ref{table:zyields_2j} (Table~\ref{table:zyields_2j_targeted}), and is therefore negligible compared to the total |
52 |
< |
background uncertainty. |
49 |
> |
After preselection, there is a small contribution from backgrounds other than \zjets. To correct for this, the \MET\ templates |
50 |
> |
prediction is scaled such that the total background prediction matches the observed data yield in the \MET\ 0--60 GeV region. |
51 |
> |
Because the non-\zjets impurity in the low \MET\ region after preselection is very small, this results in |
52 |
> |
scaling factors of 0.985 (0.995) for the inclusive (targeted) search. |
53 |
|
|
54 |
|
\subsection{Estimating the Flavor-Symmetric Background with e$\mu$ Events} |
55 |
|
\label{sec:bkg_fs} |
78 |
|
|
79 |
|
\begin{equation} |
80 |
|
R_{\mu e} = \sqrt{\frac{N_{\mu\mu}^{\rm{offline}}}{N_{ee}^{\rm{offline}}}} = \sqrt{\frac{N_{\mu\mu}^{\rm{trig}}/\epsilon_{\mu\mu}^{\rm{trig}}}{N_{ee}^{\rm{trig}}/\epsilon_{ee}^{\rm{trig}}}} |
81 |
< |
= \sqrt{\frac{80367/0.88}{54426/0.95}} = 1.26\pm0.07. |
81 |
> |
= \sqrt{\frac{297240/0.88}{233805/0.95}} = 1.17\pm0.07. |
82 |
|
\end{equation} |
83 |
|
|
84 |
|
Here we have used the Z$\to\mu\mu$ and Z$\to$ee yields from Table~\ref{table:zyields_2j} and the trigger efficiencies quoted in Sec.~\ref{sec:datasets}. |
87 |
|
|
88 |
|
\begin{itemize} |
89 |
|
\item $N_{ee}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{ee}^{\rm{trig}}} {2 R_{\mu e}} |
90 |
< |
= \frac{N_{e\mu}^{\rm{trig}}}{0.92}\frac{0.95}{2\times1.26} = (0.41\pm0.05) \times N_{e\mu}^{\rm{trig}}$ , |
90 |
> |
= \frac{N_{e\mu}^{\rm{trig}}}{0.92}\frac{0.95}{2\times1.17} = (0.44\pm0.05) \times N_{e\mu}^{\rm{trig}}$ , |
91 |
|
\item $N_{\mu\mu}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{\mu\mu}^{\rm{trig}} R_{\mu e}} {2} |
92 |
< |
= \frac {N_{e\mu}^{\rm{trig}}} {0.95} \frac {0.88 \times 1.26}{2} = (0.58\pm0.07) \times N_{e\mu}^{\rm{trig}}$, |
92 |
> |
= \frac {N_{e\mu}^{\rm{trig}}} {0.95} \frac {0.88 \times 1.17}{2} = (0.54\pm0.07) \times N_{e\mu}^{\rm{trig}}$, |
93 |
|
\end{itemize} |
94 |
|
|
95 |
|
and the predicted yield in the combined ee and $\mu\mu$ channel is simply the sum of these two predictions: |
96 |
|
|
97 |
|
\begin{itemize} |
98 |
< |
\item $N_{ee+\mu\mu}^{\rm{predicted}} = (0.99\pm0.06)\times N_{e\mu}^{\rm{trig}}$. |
98 |
> |
\item $N_{ee+\mu\mu}^{\rm{predicted}} = (0.98\pm0.06)\times N_{e\mu}^{\rm{trig}}$. |
99 |
|
\end{itemize} |
100 |
|
|
101 |
|
Note that the relative uncertainty in the combined ee and $\mu\mu$ prediction is smaller than those for the individual ee and $\mu\mu$ predictions |
103 |
|
|
104 |
|
To improve the statistical precision of the FS background estimate, we remove the requirement that the e$\mu$ lepton pair falls in the Z mass window. |
105 |
|
Instead we scale the e$\mu$ yield by $K$, the efficiency for e$\mu$ events to satisfy the Z mass requirement, extracted from simulation. In Fig.~\ref{fig:K_incl} |
106 |
< |
we display the value of $K$ in data and simulation, for a variety of \MET\ requirements, for the inclusive analysis. Based on this we chose $K=0.14\pm0.02$ |
107 |
< |
for all \MET\ regions except for \MET\ $>$ 300 GeV. For this region the statistical precision is reduced, so that we inflate the uncertainty and chose $K=0.14\pm0.08$. |
106 |
> |
we display the value of $K$ in data and simulation, for a variety of \MET\ requirements, for the inclusive analysis. |
107 |
> |
Based on this we chose $K=0.14\pm0.02$ for the lower \MET\ regions, $K=0.14\pm0.04$ for the \MET\ $>$ 200 GeV region,and $K=0.14\pm0.09$ for \MET\ $>$ 300 GeV, |
108 |
> |
where the larger uncertainties reflect the reduced statistical precision at large \MET. |
109 |
|
The corresponding plot for the targeted analysis, including the b-veto, is displayed in Fig.~\ref{fig:K_targeted}. |
110 |
|
Based on this we chose $K=0.13\pm0.02$ |
111 |
< |
for all \MET\ regions up to \MET\ $>$ 100 GeV. For higher \MET\ regions (\MET\ $>$ 150 GeV and above) the statistical precision is reduced, |
111 |
< |
so that we inflate the uncertainty and chose $K=0.13\pm0.07$. |
111 |
> |
for all \MET\ regions up to \MET\ $>$ 150 GeV. For the \MET\ $>$ 200 GeV region we choose $K=0.13\pm0.05$, due to the reduced statistical precision. |
112 |
|
|
113 |
|
\begin{figure}[!ht] |
114 |
|
\begin{center} |
115 |
|
\begin{tabular}{cc} |
116 |
< |
\includegraphics[width=0.4\textwidth]{plots/K_incl.pdf} & |
117 |
< |
\includegraphics[width=0.4\textwidth]{plots/K_excl.pdf} \\ |
116 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_19fb.pdf} & |
117 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_19fb.pdf} \\ |
118 |
|
\end{tabular} |
119 |
< |
\caption{ |
119 |
> |
\caption{\label{fig:K_incl} |
120 |
|
The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
121 |
< |
exclusive \MET\ intervals (right) for the inclusive analysis. Based on this we chose $K=0.14\pm0.02$ for all \MET\ regions except \MET\ $>$ 300 GeV, |
122 |
< |
where we chose $K=0.14\pm0.08$. |
123 |
< |
%{\bf FIXME plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
124 |
< |
\label{fig:K_incl} |
121 |
> |
exclusive \MET\ intervals (right) for the inclusive analysis. |
122 |
|
} |
123 |
+ |
|
124 |
+ |
\begin{comment} |
125 |
+ |
|
126 |
+ |
---------------------------------------- |
127 |
+ |
EXCLUSIVE RESULTS |
128 |
+ |
---------------------------------------- |
129 |
+ |
|
130 |
+ |
Using selection : ((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20) |
131 |
+ |
Using weight : vtxweight * weight |
132 |
+ |
OF entries (total) 44537 |
133 |
+ |
OF entries (Z mass) 6051 |
134 |
+ |
K 0.135865 |
135 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
136 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
137 |
+ |
|
138 |
+ |
-------------------------------------------------------------- |
139 |
+ |
pfmet>0 && pfmet<30 |
140 |
+ |
|
141 |
+ |
data : |
142 |
+ |
total : 7563 |
143 |
+ |
Z : 957 |
144 |
+ |
K : 0.13 +/- 0.004 |
145 |
+ |
|
146 |
+ |
MC : |
147 |
+ |
total : 399.019 |
148 |
+ |
Z : 51.0493 |
149 |
+ |
K : 0.13 +/- 0.007 |
150 |
+ |
-------------------------------------------------------------- |
151 |
+ |
|
152 |
+ |
|
153 |
+ |
-------------------------------------------------------------- |
154 |
+ |
pfmet>30 && pfmet<60 |
155 |
+ |
|
156 |
+ |
data : |
157 |
+ |
total : 14185 |
158 |
+ |
Z : 1893 |
159 |
+ |
K : 0.13 +/- 0.003 |
160 |
+ |
|
161 |
+ |
MC : |
162 |
+ |
total : 755.309 |
163 |
+ |
Z : 111.206 |
164 |
+ |
K : 0.15 +/- 0.003 |
165 |
+ |
-------------------------------------------------------------- |
166 |
+ |
|
167 |
+ |
|
168 |
+ |
-------------------------------------------------------------- |
169 |
+ |
pfmet>60 && pfmet<100 |
170 |
+ |
|
171 |
+ |
data : |
172 |
+ |
total : 14928 |
173 |
+ |
Z : 2122 |
174 |
+ |
K : 0.14 +/- 0.003 |
175 |
+ |
|
176 |
+ |
MC : |
177 |
+ |
total : 838.418 |
178 |
+ |
Z : 123.554 |
179 |
+ |
K : 0.15 +/- 0.003 |
180 |
+ |
-------------------------------------------------------------- |
181 |
+ |
|
182 |
+ |
|
183 |
+ |
-------------------------------------------------------------- |
184 |
+ |
pfmet>100 && pfmet<200 |
185 |
+ |
|
186 |
+ |
data : |
187 |
+ |
total : 7437 |
188 |
+ |
Z : 1029 |
189 |
+ |
K : 0.14 +/- 0.004 |
190 |
+ |
|
191 |
+ |
MC : |
192 |
+ |
total : 451.624 |
193 |
+ |
Z : 67.7098 |
194 |
+ |
K : 0.15 +/- 0.004 |
195 |
+ |
-------------------------------------------------------------- |
196 |
+ |
|
197 |
+ |
|
198 |
+ |
-------------------------------------------------------------- |
199 |
+ |
pfmet>200 && pfmet<300 |
200 |
+ |
|
201 |
+ |
data : |
202 |
+ |
total : 371 |
203 |
+ |
Z : 44 |
204 |
+ |
K : 0.12 +/- 0.018 |
205 |
+ |
|
206 |
+ |
MC : |
207 |
+ |
total : 24.2441 |
208 |
+ |
Z : 2.67077 |
209 |
+ |
K : 0.11 +/- 0.013 |
210 |
+ |
-------------------------------------------------------------- |
211 |
+ |
|
212 |
+ |
|
213 |
+ |
-------------------------------------------------------------- |
214 |
+ |
pfmet>300 |
215 |
+ |
|
216 |
+ |
data : |
217 |
+ |
total : 53 |
218 |
+ |
Z : 6 |
219 |
+ |
K : 0.11 +/- 0.046 |
220 |
+ |
|
221 |
+ |
MC : |
222 |
+ |
total : 4.53108 |
223 |
+ |
Z : 0.230071 |
224 |
+ |
K : 0.05 +/- 0.022 |
225 |
+ |
-------------------------------------------------------------- |
226 |
+ |
|
227 |
+ |
|
228 |
+ |
---------------------------------------- |
229 |
+ |
INCLUSIVE RESULTS |
230 |
+ |
---------------------------------------- |
231 |
+ |
|
232 |
+ |
Using selection : ((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20) |
233 |
+ |
Using weight : vtxweight * weight |
234 |
+ |
OF entries (total) 44537 |
235 |
+ |
OF entries (Z mass) 6051 |
236 |
+ |
K 0.135865 |
237 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
238 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
239 |
+ |
|
240 |
+ |
-------------------------------------------------------------- |
241 |
+ |
pfmet>0 |
242 |
+ |
|
243 |
+ |
data : |
244 |
+ |
total : 44537 |
245 |
+ |
Z : 6051 |
246 |
+ |
K : 0.14 +/- 0.002 |
247 |
+ |
|
248 |
+ |
MC : |
249 |
+ |
total : 2472.89 |
250 |
+ |
Z : 356.434 |
251 |
+ |
K : 0.14 +/- 0.002 |
252 |
+ |
-------------------------------------------------------------- |
253 |
+ |
|
254 |
+ |
|
255 |
+ |
-------------------------------------------------------------- |
256 |
+ |
pfmet>30 |
257 |
+ |
|
258 |
+ |
data : |
259 |
+ |
total : 36974 |
260 |
+ |
Z : 5094 |
261 |
+ |
K : 0.14 +/- 0.002 |
262 |
+ |
|
263 |
+ |
MC : |
264 |
+ |
total : 2074.05 |
265 |
+ |
Z : 305.382 |
266 |
+ |
K : 0.15 +/- 0.002 |
267 |
+ |
-------------------------------------------------------------- |
268 |
+ |
|
269 |
+ |
|
270 |
+ |
-------------------------------------------------------------- |
271 |
+ |
pfmet>60 |
272 |
+ |
|
273 |
+ |
data : |
274 |
+ |
total : 22789 |
275 |
+ |
Z : 3201 |
276 |
+ |
K : 0.14 +/- 0.002 |
277 |
+ |
|
278 |
+ |
MC : |
279 |
+ |
total : 1318.79 |
280 |
+ |
Z : 194.166 |
281 |
+ |
K : 0.15 +/- 0.002 |
282 |
+ |
-------------------------------------------------------------- |
283 |
+ |
|
284 |
+ |
|
285 |
+ |
-------------------------------------------------------------- |
286 |
+ |
pfmet>100 |
287 |
+ |
|
288 |
+ |
data : |
289 |
+ |
total : 7861 |
290 |
+ |
Z : 1079 |
291 |
+ |
K : 0.14 +/- 0.004 |
292 |
+ |
|
293 |
+ |
MC : |
294 |
+ |
total : 480.402 |
295 |
+ |
Z : 70.6107 |
296 |
+ |
K : 0.15 +/- 0.004 |
297 |
+ |
-------------------------------------------------------------- |
298 |
+ |
|
299 |
+ |
|
300 |
+ |
-------------------------------------------------------------- |
301 |
+ |
pfmet>200 |
302 |
+ |
|
303 |
+ |
data : |
304 |
+ |
total : 424 |
305 |
+ |
Z : 50 |
306 |
+ |
K : 0.12 +/- 0.017 |
307 |
+ |
|
308 |
+ |
MC : |
309 |
+ |
total : 28.7751 |
310 |
+ |
Z : 2.90084 |
311 |
+ |
K : 0.10 +/- 0.012 |
312 |
+ |
-------------------------------------------------------------- |
313 |
+ |
|
314 |
+ |
|
315 |
+ |
-------------------------------------------------------------- |
316 |
+ |
pfmet>300 |
317 |
+ |
|
318 |
+ |
data : |
319 |
+ |
total : 53 |
320 |
+ |
Z : 6 |
321 |
+ |
K : 0.11 +/- 0.046 |
322 |
+ |
|
323 |
+ |
MC : |
324 |
+ |
total : 4.53108 |
325 |
+ |
Z : 0.230071 |
326 |
+ |
K : 0.05 +/- 0.022 |
327 |
+ |
-------------------------------------------------------------- |
328 |
+ |
|
329 |
+ |
\end{comment} |
330 |
+ |
|
331 |
|
\end{center} |
332 |
|
\end{figure} |
333 |
|
|
334 |
|
\begin{figure}[!hb] |
335 |
|
\begin{center} |
336 |
|
\begin{tabular}{cc} |
337 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bveto.pdf} & |
338 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bveto.pdf} \\ |
337 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bveto_19fb.pdf} & |
338 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bveto_19fb.pdf} \\ |
339 |
|
\end{tabular} |
340 |
|
\caption{ |
341 |
|
The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
345 |
|
%{\bf FIXME plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
346 |
|
\label{fig:K_targeted} |
347 |
|
} |
348 |
+ |
\begin{comment} |
349 |
+ |
|
350 |
+ |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvm==0) |
351 |
+ |
Using weight : vtxweight * weight |
352 |
+ |
OF entries (total) 12006 |
353 |
+ |
OF entries (Z mass) 1407 |
354 |
+ |
K 0.117191 |
355 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
356 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
357 |
+ |
|
358 |
+ |
-------------------------------------------------------------- |
359 |
+ |
pfmet>0 && pfmet<30 |
360 |
+ |
|
361 |
+ |
data : |
362 |
+ |
total : 2719 |
363 |
+ |
Z : 273 |
364 |
+ |
K : 0.10 +/- 0.006 |
365 |
+ |
|
366 |
+ |
MC : |
367 |
+ |
total : 131.974 |
368 |
+ |
Z : 15.1946 |
369 |
+ |
K : 0.12 +/- 0.020 |
370 |
+ |
-------------------------------------------------------------- |
371 |
+ |
|
372 |
+ |
|
373 |
+ |
-------------------------------------------------------------- |
374 |
+ |
pfmet>30 && pfmet<60 |
375 |
+ |
|
376 |
+ |
data : |
377 |
+ |
total : 3842 |
378 |
+ |
Z : 435 |
379 |
+ |
K : 0.11 +/- 0.005 |
380 |
+ |
|
381 |
+ |
MC : |
382 |
+ |
total : 172.956 |
383 |
+ |
Z : 21.9369 |
384 |
+ |
K : 0.13 +/- 0.007 |
385 |
+ |
-------------------------------------------------------------- |
386 |
+ |
|
387 |
+ |
|
388 |
+ |
-------------------------------------------------------------- |
389 |
+ |
pfmet>60 && pfmet<80 |
390 |
+ |
|
391 |
+ |
data : |
392 |
+ |
total : 2029 |
393 |
+ |
Z : 269 |
394 |
+ |
K : 0.13 +/- 0.008 |
395 |
+ |
|
396 |
+ |
MC : |
397 |
+ |
total : 109.789 |
398 |
+ |
Z : 13.9792 |
399 |
+ |
K : 0.13 +/- 0.008 |
400 |
+ |
-------------------------------------------------------------- |
401 |
+ |
|
402 |
+ |
|
403 |
+ |
-------------------------------------------------------------- |
404 |
+ |
pfmet>80 && pfmet<100 |
405 |
+ |
|
406 |
+ |
data : |
407 |
+ |
total : 1490 |
408 |
+ |
Z : 194 |
409 |
+ |
K : 0.13 +/- 0.009 |
410 |
+ |
|
411 |
+ |
MC : |
412 |
+ |
total : 73.3643 |
413 |
+ |
Z : 11.5154 |
414 |
+ |
K : 0.16 +/- 0.010 |
415 |
+ |
-------------------------------------------------------------- |
416 |
+ |
|
417 |
+ |
|
418 |
+ |
-------------------------------------------------------------- |
419 |
+ |
pfmet>100 && pfmet<150 |
420 |
+ |
|
421 |
+ |
data : |
422 |
+ |
total : 1467 |
423 |
+ |
Z : 189 |
424 |
+ |
K : 0.13 +/- 0.009 |
425 |
+ |
|
426 |
+ |
MC : |
427 |
+ |
total : 86.7947 |
428 |
+ |
Z : 11.742 |
429 |
+ |
K : 0.14 +/- 0.009 |
430 |
+ |
-------------------------------------------------------------- |
431 |
+ |
|
432 |
+ |
|
433 |
+ |
-------------------------------------------------------------- |
434 |
+ |
pfmet>150 && pfmet<200 |
435 |
+ |
|
436 |
+ |
data : |
437 |
+ |
total : 320 |
438 |
+ |
Z : 31 |
439 |
+ |
K : 0.10 +/- 0.017 |
440 |
+ |
|
441 |
+ |
MC : |
442 |
+ |
total : 19.4473 |
443 |
+ |
Z : 2.97965 |
444 |
+ |
K : 0.15 +/- 0.017 |
445 |
+ |
-------------------------------------------------------------- |
446 |
+ |
|
447 |
+ |
|
448 |
+ |
-------------------------------------------------------------- |
449 |
+ |
pfmet>200 |
450 |
+ |
|
451 |
+ |
data : |
452 |
+ |
total : 139 |
453 |
+ |
Z : 16 |
454 |
+ |
K : 0.12 +/- 0.029 |
455 |
+ |
|
456 |
+ |
MC : |
457 |
+ |
total : 8.99801 |
458 |
+ |
Z : 0.794136 |
459 |
+ |
K : 0.09 +/- 0.021 |
460 |
+ |
-------------------------------------------------------------- |
461 |
+ |
|
462 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: hdummy (Potential memory leak). |
463 |
+ |
Info in <TCanvas::Print>: pdf file ../plots/extractK_exclusive_bveto.pdf has been created |
464 |
+ |
root [3] extractK(false,true,true) |
465 |
+ |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvm==0) |
466 |
+ |
Using weight : vtxweight * weight |
467 |
+ |
OF entries (total) 12006 |
468 |
+ |
OF entries (Z mass) 1407 |
469 |
+ |
K 0.117191 |
470 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
471 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
472 |
+ |
|
473 |
+ |
-------------------------------------------------------------- |
474 |
+ |
pfmet>0 |
475 |
+ |
|
476 |
+ |
data : |
477 |
+ |
total : 12006 |
478 |
+ |
Z : 1407 |
479 |
+ |
K : 0.12 +/- 0.003 |
480 |
+ |
|
481 |
+ |
MC : |
482 |
+ |
total : 603.333 |
483 |
+ |
Z : 78.1422 |
484 |
+ |
K : 0.13 +/- 0.005 |
485 |
+ |
-------------------------------------------------------------- |
486 |
+ |
|
487 |
+ |
|
488 |
+ |
-------------------------------------------------------------- |
489 |
+ |
pfmet>30 |
490 |
+ |
|
491 |
+ |
data : |
492 |
+ |
total : 9287 |
493 |
+ |
Z : 1134 |
494 |
+ |
K : 0.12 +/- 0.004 |
495 |
+ |
|
496 |
+ |
MC : |
497 |
+ |
total : 471.396 |
498 |
+ |
Z : 62.9476 |
499 |
+ |
K : 0.13 +/- 0.004 |
500 |
+ |
-------------------------------------------------------------- |
501 |
+ |
|
502 |
+ |
|
503 |
+ |
-------------------------------------------------------------- |
504 |
+ |
pfmet>60 |
505 |
+ |
|
506 |
+ |
data : |
507 |
+ |
total : 5445 |
508 |
+ |
Z : 699 |
509 |
+ |
K : 0.13 +/- 0.005 |
510 |
+ |
|
511 |
+ |
MC : |
512 |
+ |
total : 298.41 |
513 |
+ |
Z : 41.0107 |
514 |
+ |
K : 0.14 +/- 0.005 |
515 |
+ |
-------------------------------------------------------------- |
516 |
+ |
|
517 |
+ |
|
518 |
+ |
-------------------------------------------------------------- |
519 |
+ |
pfmet>80 |
520 |
+ |
|
521 |
+ |
data : |
522 |
+ |
total : 3416 |
523 |
+ |
Z : 430 |
524 |
+ |
K : 0.13 +/- 0.006 |
525 |
+ |
|
526 |
+ |
MC : |
527 |
+ |
total : 188.602 |
528 |
+ |
Z : 27.0313 |
529 |
+ |
K : 0.14 +/- 0.006 |
530 |
+ |
-------------------------------------------------------------- |
531 |
+ |
|
532 |
+ |
|
533 |
+ |
-------------------------------------------------------------- |
534 |
+ |
pfmet>100 |
535 |
+ |
|
536 |
+ |
data : |
537 |
+ |
total : 1926 |
538 |
+ |
Z : 236 |
539 |
+ |
K : 0.12 +/- 0.008 |
540 |
+ |
|
541 |
+ |
MC : |
542 |
+ |
total : 115.24 |
543 |
+ |
Z : 15.5158 |
544 |
+ |
K : 0.13 +/- 0.008 |
545 |
+ |
-------------------------------------------------------------- |
546 |
+ |
|
547 |
+ |
|
548 |
+ |
-------------------------------------------------------------- |
549 |
+ |
pfmet>150 |
550 |
+ |
|
551 |
+ |
data : |
552 |
+ |
total : 459 |
553 |
+ |
Z : 47 |
554 |
+ |
K : 0.10 +/- 0.015 |
555 |
+ |
|
556 |
+ |
MC : |
557 |
+ |
total : 28.4454 |
558 |
+ |
Z : 3.77378 |
559 |
+ |
K : 0.13 +/- 0.014 |
560 |
+ |
-------------------------------------------------------------- |
561 |
+ |
|
562 |
+ |
|
563 |
+ |
-------------------------------------------------------------- |
564 |
+ |
pfmet>200 |
565 |
+ |
|
566 |
+ |
data : |
567 |
+ |
total : 139 |
568 |
+ |
Z : 16 |
569 |
+ |
K : 0.12 +/- 0.029 |
570 |
+ |
|
571 |
+ |
MC : |
572 |
+ |
total : 8.99801 |
573 |
+ |
Z : 0.794136 |
574 |
+ |
K : 0.09 +/- 0.021 |
575 |
+ |
-------------------------------------------------------------- |
576 |
+ |
|
577 |
+ |
\end{comment} |
578 |
+ |
|
579 |
+ |
\end{center} |
580 |
+ |
\end{figure} |
581 |
+ |
|
582 |
+ |
|
583 |
+ |
\begin{comment} |
584 |
+ |
|
585 |
+ |
\begin{figure}[!hb] |
586 |
+ |
\begin{center} |
587 |
+ |
\begin{tabular}{cc} |
588 |
+ |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bvetoLoose_92fb.pdf} & |
589 |
+ |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bvetoLoose_92fb.pdf} \\ |
590 |
+ |
\end{tabular} |
591 |
+ |
\caption{ |
592 |
+ |
The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
593 |
+ |
exclusive \MET\ intervals (right) for the targeted analysis, including the b-veto. |
594 |
+ |
%{\bf FIXME plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
595 |
+ |
\label{fig:K_targeted}} |
596 |
+ |
|
597 |
+ |
|
598 |
+ |
root [2] extractK(true,false,true) |
599 |
+ |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvl==0) |
600 |
+ |
Using weight : vtxweight * weight |
601 |
+ |
OF entries (total) 2715 |
602 |
+ |
OF entries (Z mass) 279 |
603 |
+ |
K 0.102762 |
604 |
+ |
Warning in <TStreamerInfo::Compile>: Counter fNClusterRange should not be skipped from class TTree |
605 |
+ |
Info in <TCanvas::MakeDefCanvas>: created default TCanvas with name c1 |
606 |
+ |
|
607 |
+ |
-------------------------------------------------------------- |
608 |
+ |
pfmet>0 && pfmet<30 |
609 |
+ |
|
610 |
+ |
data : |
611 |
+ |
total : 713 |
612 |
+ |
Z : 59 |
613 |
+ |
K : 0.08 +/- 0.011 |
614 |
+ |
|
615 |
+ |
MC : |
616 |
+ |
total : 74.2549 |
617 |
+ |
Z : 7.09789 |
618 |
+ |
K : 0.10 +/- 0.025 |
619 |
+ |
-------------------------------------------------------------- |
620 |
+ |
|
621 |
+ |
|
622 |
+ |
-------------------------------------------------------------- |
623 |
+ |
pfmet>30 && pfmet<60 |
624 |
+ |
|
625 |
+ |
data : |
626 |
+ |
total : 850 |
627 |
+ |
Z : 79 |
628 |
+ |
K : 0.09 +/- 0.010 |
629 |
+ |
|
630 |
+ |
MC : |
631 |
+ |
total : 84.6973 |
632 |
+ |
Z : 9.55105 |
633 |
+ |
K : 0.11 +/- 0.009 |
634 |
+ |
-------------------------------------------------------------- |
635 |
+ |
|
636 |
+ |
|
637 |
+ |
-------------------------------------------------------------- |
638 |
+ |
pfmet>60 && pfmet<80 |
639 |
+ |
|
640 |
+ |
data : |
641 |
+ |
total : 469 |
642 |
+ |
Z : 61 |
643 |
+ |
K : 0.13 +/- 0.017 |
644 |
+ |
|
645 |
+ |
MC : |
646 |
+ |
total : 50.1496 |
647 |
+ |
Z : 5.92081 |
648 |
+ |
K : 0.12 +/- 0.012 |
649 |
+ |
-------------------------------------------------------------- |
650 |
+ |
|
651 |
+ |
|
652 |
+ |
-------------------------------------------------------------- |
653 |
+ |
pfmet>80 && pfmet<100 |
654 |
+ |
|
655 |
+ |
data : |
656 |
+ |
total : 269 |
657 |
+ |
Z : 33 |
658 |
+ |
K : 0.12 +/- 0.021 |
659 |
+ |
|
660 |
+ |
MC : |
661 |
+ |
total : 30.0547 |
662 |
+ |
Z : 4.67993 |
663 |
+ |
K : 0.16 +/- 0.014 |
664 |
+ |
-------------------------------------------------------------- |
665 |
+ |
|
666 |
+ |
|
667 |
+ |
-------------------------------------------------------------- |
668 |
+ |
pfmet>100 && pfmet<150 |
669 |
+ |
|
670 |
+ |
data : |
671 |
+ |
total : 311 |
672 |
+ |
Z : 34 |
673 |
+ |
K : 0.11 +/- 0.019 |
674 |
+ |
|
675 |
+ |
MC : |
676 |
+ |
total : 39.4475 |
677 |
+ |
Z : 5.02593 |
678 |
+ |
K : 0.13 +/- 0.014 |
679 |
+ |
-------------------------------------------------------------- |
680 |
+ |
|
681 |
+ |
|
682 |
+ |
-------------------------------------------------------------- |
683 |
+ |
pfmet>150 && pfmet<200 |
684 |
+ |
|
685 |
+ |
data : |
686 |
+ |
total : 79 |
687 |
+ |
Z : 10 |
688 |
+ |
K : 0.13 +/- 0.040 |
689 |
+ |
|
690 |
+ |
MC : |
691 |
+ |
total : 9.96228 |
692 |
+ |
Z : 1.4975 |
693 |
+ |
K : 0.15 +/- 0.023 |
694 |
+ |
-------------------------------------------------------------- |
695 |
+ |
|
696 |
+ |
|
697 |
+ |
-------------------------------------------------------------- |
698 |
+ |
pfmet>200 |
699 |
+ |
|
700 |
+ |
data : |
701 |
+ |
total : 24 |
702 |
+ |
Z : 3 |
703 |
+ |
K : 0.12 +/- 0.072 |
704 |
+ |
|
705 |
+ |
MC : |
706 |
+ |
total : 5.3503 |
707 |
+ |
Z : 0.425719 |
708 |
+ |
K : 0.08 +/- 0.027 |
709 |
+ |
-------------------------------------------------------------- |
710 |
+ |
|
711 |
+ |
root [3] Info in <TCanvas::Print>: pdf file /Users/benhoob/tas/ZMet2012/plots/extractK_exclusive_bvetoLoose_92fb.pdf has been created |
712 |
+ |
|
713 |
+ |
root [3] |
714 |
+ |
root [3] extractK(false,false,true) |
715 |
+ |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvl==0) |
716 |
+ |
Using weight : vtxweight * weight |
717 |
+ |
OF entries (total) 2715 |
718 |
+ |
OF entries (Z mass) 279 |
719 |
+ |
K 0.102762 |
720 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
721 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
722 |
+ |
|
723 |
+ |
-------------------------------------------------------------- |
724 |
+ |
pfmet>0 |
725 |
+ |
|
726 |
+ |
data : |
727 |
+ |
total : 2715 |
728 |
+ |
Z : 279 |
729 |
+ |
K : 0.10 +/- 0.006 |
730 |
+ |
|
731 |
+ |
MC : |
732 |
+ |
total : 293.912 |
733 |
+ |
Z : 34.199 |
734 |
+ |
K : 0.12 +/- 0.008 |
735 |
+ |
-------------------------------------------------------------- |
736 |
+ |
|
737 |
+ |
|
738 |
+ |
-------------------------------------------------------------- |
739 |
+ |
pfmet>30 |
740 |
+ |
|
741 |
+ |
data : |
742 |
+ |
total : 2002 |
743 |
+ |
Z : 220 |
744 |
+ |
K : 0.11 +/- 0.007 |
745 |
+ |
|
746 |
+ |
MC : |
747 |
+ |
total : 219.661 |
748 |
+ |
Z : 27.101 |
749 |
+ |
K : 0.12 +/- 0.006 |
750 |
+ |
-------------------------------------------------------------- |
751 |
+ |
|
752 |
+ |
|
753 |
+ |
-------------------------------------------------------------- |
754 |
+ |
pfmet>60 |
755 |
+ |
|
756 |
+ |
data : |
757 |
+ |
total : 1152 |
758 |
+ |
Z : 141 |
759 |
+ |
K : 0.12 +/- 0.010 |
760 |
+ |
|
761 |
+ |
MC : |
762 |
+ |
total : 134.962 |
763 |
+ |
Z : 17.5498 |
764 |
+ |
K : 0.13 +/- 0.007 |
765 |
+ |
-------------------------------------------------------------- |
766 |
+ |
|
767 |
+ |
|
768 |
+ |
-------------------------------------------------------------- |
769 |
+ |
pfmet>80 |
770 |
+ |
|
771 |
+ |
data : |
772 |
+ |
total : 683 |
773 |
+ |
Z : 80 |
774 |
+ |
K : 0.12 +/- 0.013 |
775 |
+ |
|
776 |
+ |
MC : |
777 |
+ |
total : 84.8149 |
778 |
+ |
Z : 11.629 |
779 |
+ |
K : 0.14 +/- 0.009 |
780 |
+ |
-------------------------------------------------------------- |
781 |
+ |
|
782 |
+ |
|
783 |
+ |
-------------------------------------------------------------- |
784 |
+ |
pfmet>100 |
785 |
+ |
|
786 |
+ |
data : |
787 |
+ |
total : 414 |
788 |
+ |
Z : 47 |
789 |
+ |
K : 0.11 +/- 0.017 |
790 |
+ |
|
791 |
+ |
MC : |
792 |
+ |
total : 54.7604 |
793 |
+ |
Z : 6.94915 |
794 |
+ |
K : 0.13 +/- 0.011 |
795 |
+ |
-------------------------------------------------------------- |
796 |
+ |
|
797 |
+ |
|
798 |
+ |
-------------------------------------------------------------- |
799 |
+ |
pfmet>150 |
800 |
+ |
|
801 |
+ |
data : |
802 |
+ |
total : 103 |
803 |
+ |
Z : 13 |
804 |
+ |
K : 0.13 +/- 0.035 |
805 |
+ |
|
806 |
+ |
MC : |
807 |
+ |
total : 15.3125 |
808 |
+ |
Z : 1.92322 |
809 |
+ |
K : 0.13 +/- 0.019 |
810 |
+ |
-------------------------------------------------------------- |
811 |
+ |
|
812 |
+ |
|
813 |
+ |
-------------------------------------------------------------- |
814 |
+ |
pfmet>200 |
815 |
+ |
|
816 |
+ |
data : |
817 |
+ |
total : 24 |
818 |
+ |
Z : 3 |
819 |
+ |
K : 0.12 +/- 0.072 |
820 |
+ |
|
821 |
+ |
MC : |
822 |
+ |
total : 5.3503 |
823 |
+ |
Z : 0.425719 |
824 |
+ |
K : 0.08 +/- 0.027 |
825 |
+ |
-------------------------------------------------------------- |
826 |
+ |
|
827 |
+ |
|
828 |
|
\end{center} |
829 |
|
\end{figure} |
830 |
|
|
831 |
+ |
|
832 |
+ |
\end{comment} |
833 |
+ |
|
834 |
+ |
|
835 |
|
\clearpage |
836 |
|
|
837 |
|
\subsection{Estimating the WZ and ZZ Background with MC} |
840 |
|
Backgrounds from W($\ell\nu$)Z($\ell\ell$) where the W lepton is not identified or is outside acceptance, and Z($\nu\nu$)Z($\ell\ell$), |
841 |
|
are estimated from simulation. The MC modeling of these processes is validated by comparing the MC predictions with data in control samples |
842 |
|
with exactly 3 leptons (WZ control sample) and exactly 4 leptons (ZZ control sample). |
843 |
< |
The relevant WZ and ZZ MC samples are: |
844 |
< |
|
845 |
< |
\begin{itemize} |
157 |
< |
\footnotesize{ |
158 |
< |
\item \verb=/WZJetsTo3LNu_TuneZ2_8TeV-madgraph-tauola/Summer12-PU_S7_START52_V9-v2/AODSIM= ($\sigma=1.058$ pb), |
159 |
< |
\item \verb=/ZZJetsTo4L_TuneZ2star_8TeV-madgraph-tauola/Summer12-PU_S7_START52_V9-v3/AODSIM= ($\sigma=0.093$ pb), |
160 |
< |
} |
161 |
< |
\end{itemize} |
162 |
< |
The WZJetsTo2L2Q, ZZJetsTo2L2Q, and ZZJetsTo2L2Nu samples are also used in this analysis but their contribution to the 3-lepton and 4-lepton |
163 |
< |
control samples is negligible. |
843 |
> |
The critical samples are the WZJetsTo3LNu and ZZJetsTo4L, listed in Table~\ref{tab:mcsamples} |
844 |
> |
(the WZJetsTo2L2Q, ZZJetsTo2L2Q, and ZZJetsTo2L2Nu samples are also used in this analysis but their contribution to the 3-lepton and 4-lepton |
845 |
> |
control samples is negligible). |
846 |
|
|
847 |
|
\subsubsection{WZ Validation Studies} |
848 |
|
\label{sec:bkg_wz} |
856 |
|
\end{itemize} |
857 |
|
|
858 |
|
The data and MC yields passing the above selection are in Table~\ref{tab:wz}. |
859 |
< |
The inclusive yields (without any jet requirements) agree within 17\%, which is approximately equal |
860 |
< |
to the uncertainty in the measured WZ cross section. A data vs. MC comparison of kinematic |
859 |
> |
The inclusive yields (without any jet requirements) agree within 13\%, which is consistent within |
860 |
> |
the uncertainty in the CMS measured WZ cross section (17\%). A data vs. MC comparison of kinematic |
861 |
|
distributions (jet multiplicity, \MET, Z \pt) is given in Fig.~\ref{fig:wz}. High \MET\ |
862 |
|
values in WZ and ZZ events arise from highly boosted W or Z bosons that decay leptonically, |
863 |
|
and we therefore check that the MC does a reasonable job of reproducing the \pt distributions of the |
864 |
|
leptonically decaying \Z. While the inclusive WZ yields are in reasonable agreement, we observe |
865 |
|
an excess in data in events with at least 2 jets, corresponding to the jet multiplicity requirement |
866 |
< |
in our preselection. We observe 60 events in data while the MC predicts $34\pm5.2$~(stat), representing an excess of 78\%, |
867 |
< |
as indicated in Table~\ref{tab:wz2j}. We note some possible contributions to this discrepancy: |
866 |
> |
in our preselection. We observe 106 events in data while the MC predicts $62\pm1.5$~(stat), representing an excess of 71\%, |
867 |
> |
as indicated in Table~\ref{tab:wz2j}. |
868 |
> |
This excess will be studied further. For the time being, based on these studies we currently assess an uncertainty of 70\% on the WZ yield. |
869 |
> |
A data vs. MC comparison of several kinematic quantities in the sample with 3 leptons and at least 2 jets can be found in App.~\ref{app:WZ}. |
870 |
> |
|
871 |
> |
\begin{comment} |
872 |
> |
We note some possible contributions to this discrepancy: |
873 |
|
|
874 |
|
\begin{itemize} |
875 |
|
|
876 |
+ |
\item {\bf The following checks refer to the 5.2 fb$^{-1}$ results and will be updated.} |
877 |
+ |
|
878 |
|
\item The \zjets\ contribution is under-estimated here, for 2 reasons: first, because the \zjets\ |
879 |
|
yield passing a \MET $>$ 50 GeV requirement is under-estimated in MC and second, because the fake |
880 |
|
rate is typically under-estimated in the MC. To get a rough idea for how much the excess depends |
893 |
|
requiring the jets to be consistent with originating from the signal primary vertex. |
894 |
|
|
895 |
|
\end{itemize} |
896 |
+ |
\end{comment} |
897 |
+ |
|
898 |
|
|
208 |
– |
Based on these studies we currently assess an uncertainty of 80\% on the WZ yield. |
899 |
|
|
900 |
|
\begin{table}[htb] |
901 |
|
\begin{center} |
902 |
|
\caption{\label{tab:wz} Data and Monte Carlo yields passing the WZ preselection. } |
903 |
|
\begin{tabular}{lccccc} |
904 |
+ |
|
905 |
+ |
%Loading babies at : ../output/V00-02-00 |
906 |
+ |
%Using selection : (((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101) |
907 |
+ |
%Using weight : weight * 19.3 * trgeff * vtxweight |
908 |
+ |
|
909 |
|
\hline |
910 |
|
\hline |
911 |
< |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
911 |
> |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
912 |
> |
\hline |
913 |
> |
%SCALING ZJETS BY 111/946 |
914 |
> |
WZ &244.9 $\pm$ 1.6 &317.9 $\pm$ 1.8 & 17.0 $\pm$ 0.4 &579.7 $\pm$ 2.4 \\ |
915 |
> |
\zjets & 2.5 $\pm$ 2.0 & 6.4 $\pm$ 3.9 & 0.0 $\pm$ 0.0 & 8.9 $\pm$ 4.3 \\ |
916 |
> |
ZZ & 5.3 $\pm$ 0.0 & 7.1 $\pm$ 0.1 & 0.4 $\pm$ 0.0 & 12.8 $\pm$ 0.1 \\ |
917 |
> |
\ttbar & 2.5 $\pm$ 1.3 & 6.7 $\pm$ 2.0 & 7.5 $\pm$ 2.1 & 16.7 $\pm$ 3.2 \\ |
918 |
> |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\ |
919 |
> |
WW & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.1 & 0.2 $\pm$ 0.1 & 0.3 $\pm$ 0.1 \\ |
920 |
> |
ttV & 8.6 $\pm$ 0.4 & 10.3 $\pm$ 0.4 & 2.5 $\pm$ 0.2 & 21.5 $\pm$ 0.7 \\ |
921 |
> |
VVV & 3.4 $\pm$ 0.1 & 4.3 $\pm$ 0.1 & 0.6 $\pm$ 0.1 & 8.3 $\pm$ 0.2 \\ |
922 |
|
\hline |
923 |
< |
WZ & 58.9 $\pm$ 0.7 & 82.2 $\pm$ 0.8 & 4.0 $\pm$ 0.2 &145.1 $\pm$ 1.0 \\ |
219 |
< |
\ttbar & 0.6 $\pm$ 0.5 & 4.3 $\pm$ 1.5 & 3.0 $\pm$ 1.2 & 8.0 $\pm$ 2.0 \\ |
220 |
< |
\zjets & 0.4 $\pm$ 0.4 & 4.9 $\pm$ 4.9 & 0.0 $\pm$ 0.0 & 5.3 $\pm$ 4.9 \\ |
221 |
< |
ZZ & 1.4 $\pm$ 0.0 & 2.0 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 3.5 $\pm$ 0.0 \\ |
222 |
< |
WW & 0.0 $\pm$ 0.0 & 0.2 $\pm$ 0.1 & 0.2 $\pm$ 0.1 & 0.3 $\pm$ 0.1 \\ |
223 |
< |
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.1 \\ |
923 |
> |
tot SM MC &267.1 $\pm$ 2.9 &353.3 $\pm$ 4.7 & 28.2 $\pm$ 2.2 &648.6 $\pm$ 6.0 \\ |
924 |
|
\hline |
925 |
< |
total SM MC & 61.3 $\pm$ 0.9 & 93.7 $\pm$ 5.2 & 7.3 $\pm$ 1.3 &162.3 $\pm$ 5.4 \\ |
226 |
< |
data & 68 & 108 & 14 & 190 \\ |
925 |
> |
data & 312 & 391 & 50 & 753 \\ |
926 |
|
\hline |
927 |
|
\hline |
928 |
|
|
932 |
|
|
933 |
|
\begin{table}[htb] |
934 |
|
\begin{center} |
935 |
< |
\caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $>$ 2. } |
935 |
> |
\caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $\geq$ 2. } |
936 |
|
\begin{tabular}{lccccc} |
937 |
+ |
|
938 |
+ |
%Loading babies at : ../output/V00-02-00 |
939 |
+ |
%------------------------------------- |
940 |
+ |
%USING SKIMMED SAMPLES WITH NJETS >= 2 |
941 |
+ |
%------------------------------------- |
942 |
+ |
|
943 |
+ |
%Using selection : ((((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101))&&(njets>=2) |
944 |
+ |
%Using weight : weight * 19.3 * trgeff * vtxweight |
945 |
+ |
|
946 |
|
\hline |
947 |
|
\hline |
948 |
< |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
948 |
> |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
949 |
|
\hline |
950 |
< |
WZ & 9.8 $\pm$ 0.3 & 13.3 $\pm$ 0.3 & 0.6 $\pm$ 0.1 & 23.6 $\pm$ 0.4 \\ |
951 |
< |
\ttbar & 0.2 $\pm$ 0.2 & 2.0 $\pm$ 0.9 & 2.2 $\pm$ 1.2 & 4.4 $\pm$ 1.5 \\ |
952 |
< |
\zjets & 0.0 $\pm$ 0.0 & 4.9 $\pm$ 4.9 & 0.0 $\pm$ 0.0 & 4.9 $\pm$ 4.9 \\ |
953 |
< |
ZZ & 0.3 $\pm$ 0.0 & 0.4 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.7 $\pm$ 0.0 \\ |
954 |
< |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.0 \\ |
955 |
< |
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
950 |
> |
%SCALING ZJETS BY 111/946 |
951 |
> |
\ttbar & 1.6 $\pm$ 0.9 & 3.4 $\pm$ 1.5 & 1.8 $\pm$ 1.1 & 6.9 $\pm$ 2.0 \\ |
952 |
> |
\zjets & 1.9 $\pm$ 1.9 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 1.9 $\pm$ 1.9 \\ |
953 |
> |
WZ & 40.0 $\pm$ 0.7 & 51.5 $\pm$ 0.7 & 2.7 $\pm$ 0.2 & 94.3 $\pm$ 1.0 \\ |
954 |
> |
ZZ & 1.0 $\pm$ 0.0 & 1.4 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 2.6 $\pm$ 0.0 \\ |
955 |
> |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\ |
956 |
> |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
957 |
> |
ttV & 8.0 $\pm$ 0.4 & 9.5 $\pm$ 0.4 & 2.2 $\pm$ 0.2 & 19.6 $\pm$ 0.6 \\ |
958 |
> |
VVV & 1.9 $\pm$ 0.1 & 2.6 $\pm$ 0.1 & 0.2 $\pm$ 0.0 & 4.6 $\pm$ 0.2 \\ |
959 |
|
\hline |
960 |
< |
total SM MC & 10.3 $\pm$ 0.3 & 20.8 $\pm$ 5.0 & 2.8 $\pm$ 1.2 & 33.8 $\pm$ 5.2 \\ |
961 |
< |
data & 23 & 32 & 5 & 60 \\ |
960 |
> |
tot SM MC & 54.4 $\pm$ 2.2 & 69.0 $\pm$ 1.8 & 6.9 $\pm$ 1.1 &130.4 $\pm$ 3.1 \\ |
961 |
> |
\hline |
962 |
> |
data & 87 & 91 & 22 & 200 \\ |
963 |
|
\hline |
964 |
|
\hline |
965 |
|
|
969 |
|
|
970 |
|
\begin{figure}[tbh] |
971 |
|
\begin{center} |
972 |
< |
\includegraphics[width=1\linewidth]{plots/WZ.pdf} |
972 |
> |
\includegraphics[width=1\linewidth]{plots/WZ_19fb.pdf} |
973 |
|
\caption{\label{fig:wz}\protect |
974 |
|
Data vs. MC comparisons for the WZ selection discussed in the text for \lumi. |
975 |
|
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed. |
976 |
|
} |
977 |
+ |
\begin{comment} |
978 |
+ |
Loading babies at : ../output/V00-02-00 |
979 |
+ |
Using selection : (((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101) |
980 |
+ |
Using weight : weight * 19.3 * trgeff * vtxweight |
981 |
+ |
Plotting var njets flavor sf |
982 |
+ |
compareDataMC : apply trigeff 1 |
983 |
+ |
MC yield VVV 7.73 |
984 |
+ |
MC yield ttV 18.95 |
985 |
+ |
MC yield single top 0.51 |
986 |
+ |
MC yield WW 0.09 |
987 |
+ |
MC yield ZZ 12.38 |
988 |
+ |
MC yield WZ 562.71 |
989 |
+ |
MC yield ttbar 9.18 |
990 |
+ |
SCALING ZJETS BY 111/946 |
991 |
+ |
MC yield zjets 8.85 |
992 |
+ |
MC total yield 620.39 |
993 |
+ |
data yield 703 |
994 |
+ |
Plotting var pfmet flavor sf |
995 |
+ |
compareDataMC : apply trigeff 1 |
996 |
+ |
MC yield VVV 7.73 |
997 |
+ |
MC yield ttV 18.95 |
998 |
+ |
MC yield single top 0.51 |
999 |
+ |
MC yield WW 0.09 |
1000 |
+ |
MC yield ZZ 12.38 |
1001 |
+ |
MC yield WZ 562.72 |
1002 |
+ |
MC yield ttbar 9.18 |
1003 |
+ |
SCALING ZJETS BY 111/946 |
1004 |
+ |
MC yield zjets 8.85 |
1005 |
+ |
MC total yield 620.40 |
1006 |
+ |
data yield 703 |
1007 |
+ |
Plotting var dileppt flavor sf |
1008 |
+ |
compareDataMC : apply trigeff 1 |
1009 |
+ |
MC yield VVV 7.73 |
1010 |
+ |
MC yield ttV 18.95 |
1011 |
+ |
MC yield single top 0.51 |
1012 |
+ |
MC yield WW 0.09 |
1013 |
+ |
MC yield ZZ 12.38 |
1014 |
+ |
MC yield WZ 562.71 |
1015 |
+ |
MC yield ttbar 9.18 |
1016 |
+ |
SCALING ZJETS BY 111/946 |
1017 |
+ |
MC yield zjets 8.85 |
1018 |
+ |
MC total yield 620.38 |
1019 |
+ |
data yield 703 |
1020 |
+ |
\end{comment} |
1021 |
+ |
|
1022 |
|
\end{center} |
1023 |
|
\end{figure} |
1024 |
|
|
1034 |
|
\item 2 of the 4 leptons must fall in the $Z$ window 81-101 GeV. |
1035 |
|
\end{itemize} |
1036 |
|
|
1037 |
< |
The data and MC yields passing the above selection are in Table~\ref{tab:zz}. Again we observe an |
1038 |
< |
excess in data with respect to the MC prediction (29 observed vs. $17.3\pm0.1$~(stat) MC predicted). |
1039 |
< |
After requiring at least 2 jets, we observe 2 events and the MC predicts $1.5\pm0.1$~(stat). |
1040 |
< |
However, we have recently discovered that we may be using the wrong (too small) cross section for the ZZ sample, |
1041 |
< |
and we are in contact with the MC generator group to determine the correct cross section. |
285 |
< |
Based on this we currently apply an uncertainty of 80\% to the ZZ background. |
1037 |
> |
The data and MC yields passing the above selection are in Table~\ref{tab:zz}. |
1038 |
> |
In this ZZ-dominated sample we observe good agreement between the data yield and the MC prediction. |
1039 |
> |
After requiring 2 jets (corresponding to the requirement in the analysis selection), we observe 4 events |
1040 |
> |
in data and the MC predicts $6.6\pm0.1$ events. Due to the limited statistical precision we assign an uncertainty |
1041 |
> |
fo 50\% on the ZZ yield. |
1042 |
|
|
1043 |
|
\begin{table}[htb] |
1044 |
|
\begin{center} |
1045 |
|
\caption{\label{tab:zz} Data and Monte Carlo yields for the ZZ preselection. } |
1046 |
|
\begin{tabular}{lccccc} |
1047 |
+ |
|
1048 |
+ |
%Loading babies at : ../output/V00-02-00 |
1049 |
+ |
%Using selection : ((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==4 && lep3.pt()>20.0 && lep4.pt()>20.0))&&(dilmass>81 && dilmass<101) |
1050 |
+ |
%Using weight : weight * 19.3 * trgeff * vtxweight |
1051 |
+ |
|
1052 |
|
\hline |
1053 |
|
\hline |
1054 |
|
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
1055 |
|
\hline |
1056 |
< |
ZZ & 6.6 $\pm$ 0.0 & 9.9 $\pm$ 0.0 & 0.4 $\pm$ 0.0 & 17.0 $\pm$ 0.1 \\ |
1057 |
< |
WZ & 0.1 $\pm$ 0.0 & 0.2 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.3 $\pm$ 0.0 \\ |
1056 |
> |
%SCALING ZZ BY 1.92 |
1057 |
> |
ZZ & 52.7 $\pm$ 0.2 & 73.3 $\pm$ 0.2 & 3.4 $\pm$ 0.0 &129.4 $\pm$ 0.3 \\ |
1058 |
> |
WZ & 0.1 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.3 $\pm$ 0.1 \\ |
1059 |
> |
%SCALING ZJETS BY 111/946 |
1060 |
|
\zjets & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
1061 |
|
\ttbar & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
1062 |
|
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
1063 |
|
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
1064 |
+ |
ttV & 1.3 $\pm$ 0.2 & 1.4 $\pm$ 0.2 & 0.3 $\pm$ 0.1 & 3.0 $\pm$ 0.2 \\ |
1065 |
+ |
VVV & 0.6 $\pm$ 0.1 & 0.8 $\pm$ 0.1 & 0.0 $\pm$ 0.0 & 1.4 $\pm$ 0.1 \\ |
1066 |
|
\hline |
1067 |
< |
total SM MC & 6.7 $\pm$ 0.0 & 10.1 $\pm$ 0.1 & 0.5 $\pm$ 0.0 & 17.3 $\pm$ 0.1 \\ |
303 |
< |
data & 13 & 16 & 0 & 29 \\ |
1067 |
> |
tot SM MC & 54.7 $\pm$ 0.3 & 75.6 $\pm$ 0.3 & 3.8 $\pm$ 0.1 &134.1 $\pm$ 0.4 \\ |
1068 |
|
\hline |
1069 |
+ |
data & 56 & 80 & 5 & 141 \\ |
1070 |
|
\hline |
1071 |
+ |
\hline |
1072 |
+ |
|
1073 |
|
\end{tabular} |
1074 |
|
\end{center} |
1075 |
|
\end{table} |
1076 |
|
|
1077 |
|
\begin{figure}[tbh] |
1078 |
|
\begin{center} |
1079 |
< |
\includegraphics[width=1\linewidth]{plots/ZZ.pdf} |
1079 |
> |
\includegraphics[width=1\linewidth]{plots/ZZ_eemm_92fb.pdf} |
1080 |
|
\caption{\label{fig:zz}\protect |
1081 |
|
Data vs. MC comparisons for the ZZ selection discussed in the text for \lumi. |
1082 |
|
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed. |