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Revision 1.4 by benhoob, Fri Jun 29 19:41:46 2012 UTC vs.
Revision 1.20 by benhoob, Fri Jan 25 17:46:18 2013 UTC

# Line 46 | Line 46 | The prediction of the MET in each \Z eve
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}
# Line 78 | Line 78 | Thus we calculate the quantity:
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{234132/0.86}{185555/0.95}} = 1.18\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}.
# Line 87 | Line 87 | The predicted yields in the ee and $\mu\
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}}}{0.93}\frac{0.95}{2\times1.18} = (0.43\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 {0.86 \times 1.18}{2} = (0.53\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 $N_{ee+\mu\mu}^{\rm{predicted}} = (0.97\pm0.06)\times N_{e\mu}^{\rm{trig}}$.
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
# Line 103 | Line 103 | because the uncertainty in $R_{\mu e}$ c
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 $K=0.14\pm0.08$ 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,
112 < so that we inflate the uncertainty and chose $K=0.13\pm0.07$.
110 > Based on this we chose $K=0.13\pm0.02$ for all \MET\ regions up to  \MET\ $>$ 100 GeV.
111 > For the \MET\ $>$ 150 GeV region we choose $K=0.13\pm0.03$
112 > and for the \MET\ $>$ 200 GeV region we choose $K=0.13\pm0.05$,
113 > due to the reduced  statistical precision.
114  
115   \begin{figure}[!ht]
116   \begin{center}
117   \begin{tabular}{cc}
118 < \includegraphics[width=0.4\textwidth]{plots/K_incl.pdf} &
119 < \includegraphics[width=0.4\textwidth]{plots/K_excl.pdf} \\
118 > \includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_19p5fb.pdf} &
119 > \includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_19p5fb.pdf} \\
120   \end{tabular}
121 < \caption{
121 > \caption{\label{fig:K_incl}
122   The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and
123 < 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,
124 < 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}
123 > exclusive \MET\ intervals (right) for the inclusive analysis.
124 > 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 $K=0.14\pm0.08$ for \MET\ $>$ 300 GeV.
125   }
126 +
127 + \begin{comment}
128 +
129 + 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)
130 + Using weight    : vtxweight * weight
131 + OF entries (total)  43808
132 + OF entries (Z mass) 6021
133 + K                   0.137441
134 + Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
135 +
136 + --------------------------------------------------------------
137 + pfmet>0
138 +
139 + data  :
140 + total : 43808
141 + Z     : 6021
142 + K     : 0.14 +/- 0.002
143 +
144 + MC    :
145 + total : 2378.42
146 + Z     : 344.559
147 + K     : 0.14 +/- 0.002
148 + --------------------------------------------------------------
149 +
150 +
151 + --------------------------------------------------------------
152 + pfmet>30
153 +
154 + data  :
155 + total : 36603
156 + Z     : 5084
157 + K     : 0.14 +/- 0.002
158 +
159 + MC    :
160 + total : 2012.6
161 + Z     : 297.342
162 + K     : 0.15 +/- 0.002
163 + --------------------------------------------------------------
164 +
165 +
166 + --------------------------------------------------------------
167 + pfmet>60
168 +
169 + data  :
170 + total : 22692
171 + Z     : 3209
172 + K     : 0.14 +/- 0.002
173 +
174 + MC    :
175 + total : 1285.07
176 + Z     : 189.292
177 + K     : 0.15 +/- 0.002
178 + --------------------------------------------------------------
179 +
180 +
181 + --------------------------------------------------------------
182 + pfmet>100
183 +
184 + data  :
185 + total : 7862
186 + Z     : 1093
187 + K     : 0.14 +/- 0.004
188 +
189 + MC    :
190 + total : 470.932
191 + Z     : 68.9364
192 + K     : 0.15 +/- 0.003
193 + --------------------------------------------------------------
194 +
195 +
196 + --------------------------------------------------------------
197 + pfmet>200
198 +
199 + data  :
200 + total : 424
201 + Z     : 50
202 + K     : 0.12 +/- 0.017
203 +
204 + MC    :
205 + total : 28.2757
206 + Z     : 2.87288
207 + K     : 0.10 +/- 0.011
208 + --------------------------------------------------------------
209 +
210 +
211 + --------------------------------------------------------------
212 + pfmet>300
213 +
214 + data  :
215 + total : 52
216 + Z     : 5
217 + K     : 0.10 +/- 0.043
218 +
219 + MC    :
220 + total : 3.77378
221 + Z     : 0.235632
222 + K     : 0.06 +/- 0.023
223 + --------------------------------------------------------------
224 +
225 + 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)
226 + Using weight    : vtxweight * weight
227 + OF entries (total)  43808
228 + OF entries (Z mass) 6021
229 + K                   0.137441
230 + Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak).
231 + Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak).
232 +
233 + --------------------------------------------------------------
234 + pfmet>0   && pfmet<30
235 +
236 + data  :
237 + total : 7205
238 + Z     : 937
239 + K     : 0.13 +/- 0.004
240 +
241 + MC    :
242 + total : 366.332
243 + Z     : 47.2379
244 + K     : 0.13 +/- 0.004
245 + --------------------------------------------------------------
246 +
247 +
248 + --------------------------------------------------------------
249 + pfmet>30  && pfmet<60
250 +
251 + data  :
252 + total : 13911
253 + Z     : 1875
254 + K     : 0.13 +/- 0.003
255 +
256 + MC    :
257 + total : 727.951
258 + Z     : 108.068
259 + K     : 0.15 +/- 0.003
260 + --------------------------------------------------------------
261 +
262 +
263 + --------------------------------------------------------------
264 + pfmet>60  && pfmet<100
265 +
266 + data  :
267 + total : 14830
268 + Z     : 2116
269 + K     : 0.14 +/- 0.003
270 +
271 + MC    :
272 + total : 814.344
273 + Z     : 120.355
274 + K     : 0.15 +/- 0.003
275 + --------------------------------------------------------------
276 +
277 +
278 + --------------------------------------------------------------
279 + pfmet>100 && pfmet<200
280 +
281 + data  :
282 + total : 7438
283 + Z     : 1043
284 + K     : 0.14 +/- 0.004
285 +
286 + MC    :
287 + total : 442.657
288 + Z     : 66.0631
289 + K     : 0.15 +/- 0.004
290 + --------------------------------------------------------------
291 +
292 +
293 + --------------------------------------------------------------
294 + pfmet>200 && pfmet<300
295 +
296 + data  :
297 + total : 372
298 + Z     : 45
299 + K     : 0.12 +/- 0.018
300 +
301 + MC    :
302 + total : 24.502
303 + Z     : 2.63725
304 + K     : 0.11 +/- 0.012
305 + --------------------------------------------------------------
306 +
307 +
308 + --------------------------------------------------------------
309 + pfmet>300
310 +
311 + data  :
312 + total : 52
313 + Z     : 5
314 + K     : 0.10 +/- 0.043
315 +
316 + MC    :
317 + total : 3.77378
318 + Z     : 0.235632
319 + K     : 0.06 +/- 0.023
320 + --------------------------------------------------------------
321 +
322 +
323 + \end{comment}
324 +
325   \end{center}
326   \end{figure}
327  
328   \begin{figure}[!hb]
329   \begin{center}
330   \begin{tabular}{cc}
331 < \includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bveto.pdf} &
332 < \includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bveto.pdf} \\
331 > \includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bveto_19p5fb.pdf} &
332 > \includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bveto_19p5fb.pdf} \\
333   \end{tabular}
334   \caption{
335   The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and
336   exclusive \MET\ intervals (right) for the targeted analysis, including the b-veto.
337   Based on this we chose $K=0.13\pm0.02$ for the \MET\ regions up to \MET\ $>$ 100 GeV.
338 < For higher \MET\ regions we chose $K=0.13\pm0.07$.
338 > For \MET\ $>$ 150 we choose $K=0.13\pm0.03$, for \MET\ $>$ 200 GeV we choose $K=0.13\pm0.05$.
339   %{\bf FIXME plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics}
340   \label{fig:K_targeted}
341   }
342 + \begin{comment}
343 +
344 + 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)
345 + Using weight    : vtxweight * weight
346 + OF entries (total)  11172
347 + OF entries (Z mass) 1331
348 + K                   0.119137
349 + Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
350 +
351 + --------------------------------------------------------------
352 + pfmet>0
353 +
354 + data  :
355 + total : 11172
356 + Z     : 1331
357 + K     : 0.12 +/- 0.003
358 +
359 + MC    :
360 + total : 556.3
361 + Z     : 72.3357
362 + K     : 0.13 +/- 0.003
363 + --------------------------------------------------------------
364 +
365 +
366 + --------------------------------------------------------------
367 + pfmet>30
368 +
369 + data  :
370 + total : 8811
371 + Z     : 1085
372 + K     : 0.12 +/- 0.004
373 +
374 + MC    :
375 + total : 447.641
376 + Z     : 60.0542
377 + K     : 0.13 +/- 0.003
378 + --------------------------------------------------------------
379 +
380 +
381 + --------------------------------------------------------------
382 + pfmet>60
383 +
384 + data  :
385 + total : 5263
386 + Z     : 677
387 + K     : 0.13 +/- 0.005
388 +
389 + MC    :
390 + total : 285.463
391 + Z     : 39.2608
392 + K     : 0.14 +/- 0.004
393 + --------------------------------------------------------------
394 +
395 +
396 + --------------------------------------------------------------
397 + pfmet>80
398 +
399 + data  :
400 + total : 3325
401 + Z     : 422
402 + K     : 0.13 +/- 0.006
403 +
404 + MC    :
405 + total : 183.689
406 + Z     : 25.7671
407 + K     : 0.14 +/- 0.005
408 + --------------------------------------------------------------
409 +
410 +
411 + --------------------------------------------------------------
412 + pfmet>100
413 +
414 + data  :
415 + total : 1883
416 + Z     : 234
417 + K     : 0.12 +/- 0.008
418 +
419 + MC    :
420 + total : 111.774
421 + Z     : 14.7812
422 + K     : 0.13 +/- 0.006
423 + --------------------------------------------------------------
424 +
425 +
426 + --------------------------------------------------------------
427 + pfmet>150
428 +
429 + data  :
430 + total : 451
431 + Z     : 46
432 + K     : 0.10 +/- 0.015
433 +
434 + MC    :
435 + total : 29.4551
436 + Z     : 3.57377
437 + K     : 0.12 +/- 0.012
438 + --------------------------------------------------------------
439 +
440 +
441 + --------------------------------------------------------------
442 + pfmet>200
443 +
444 + data  :
445 + total : 138
446 + Z     : 15
447 + K     : 0.11 +/- 0.028
448 +
449 + MC    :
450 + total : 8.60692
451 + Z     : 0.775129
452 + K     : 0.09 +/- 0.017
453 + --------------------------------------------------------------
454 +
455 + 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)
456 + Using weight    : vtxweight * weight
457 + OF entries (total)  11172
458 + OF entries (Z mass) 1331
459 + K                   0.119137
460 + Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak).
461 + Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak).
462 +
463 + --------------------------------------------------------------
464 + pfmet>0   && pfmet<30
465 +
466 + data  :
467 + total : 2361
468 + Z     : 246
469 + K     : 0.10 +/- 0.007
470 +
471 + MC    :
472 + total : 108.378
473 + Z     : 12.2795
474 + K     : 0.11 +/- 0.008
475 + --------------------------------------------------------------
476 +
477 +
478 + --------------------------------------------------------------
479 + pfmet>30  && pfmet<60
480 +
481 + data  :
482 + total : 3548
483 + Z     : 408
484 + K     : 0.11 +/- 0.006
485 +
486 + MC    :
487 + total : 162.246
488 + Z     : 20.7935
489 + K     : 0.13 +/- 0.006
490 + --------------------------------------------------------------
491 +
492 +
493 + --------------------------------------------------------------
494 + pfmet>60  && pfmet<80
495 +
496 + data  :
497 + total : 1938
498 + Z     : 255
499 + K     : 0.13 +/- 0.008
500 +
501 + MC    :
502 + total : 101.801
503 + Z     : 13.4941
504 + K     : 0.13 +/- 0.007
505 + --------------------------------------------------------------
506 +
507 +
508 + --------------------------------------------------------------
509 + pfmet>80  && pfmet<100
510 +
511 + data  :
512 + total : 1442
513 + Z     : 188
514 + K     : 0.13 +/- 0.010
515 +
516 + MC    :
517 + total : 71.9073
518 + Z     : 10.986
519 + K     : 0.15 +/- 0.009
520 + --------------------------------------------------------------
521 +
522 +
523 + --------------------------------------------------------------
524 + pfmet>100 && pfmet<150
525 +
526 + data  :
527 + total : 1432
528 + Z     : 188
529 + K     : 0.13 +/- 0.010
530 +
531 + MC    :
532 + total : 82.3186
533 + Z     : 11.2075
534 + K     : 0.14 +/- 0.008
535 + --------------------------------------------------------------
536 +
537 +
538 + --------------------------------------------------------------
539 + pfmet>150 && pfmet<200
540 +
541 + data  :
542 + total : 313
543 + Z     : 31
544 + K     : 0.10 +/- 0.018
545 +
546 + MC    :
547 + total : 20.8482
548 + Z     : 2.79864
549 + K     : 0.13 +/- 0.015
550 + --------------------------------------------------------------
551 +
552 +
553 + --------------------------------------------------------------
554 + pfmet>200
555 +
556 + data  :
557 + total : 138
558 + Z     : 15
559 + K     : 0.11 +/- 0.028
560 +
561 + MC    :
562 + total : 8.60692
563 + Z     : 0.775129
564 + K     : 0.09 +/- 0.017
565 + --------------------------------------------------------------
566 +
567 +
568 +
569 +
570 + \end{comment}
571 +
572   \end{center}
573   \end{figure}
574  
575 +
576   \clearpage
577  
578   \subsection{Estimating the WZ and ZZ Background with MC}
# Line 151 | Line 581 | For higher \MET\ regions we chose $K=0.1
581   Backgrounds from W($\ell\nu$)Z($\ell\ell$) where the W lepton is not identified or is outside acceptance, and Z($\nu\nu$)Z($\ell\ell$),
582   are estimated from simulation. The MC modeling of these processes is validated by comparing the MC predictions with data in control samples
583   with exactly 3 leptons (WZ control sample) and exactly 4 leptons (ZZ control sample).
584 < The relevant WZ and ZZ MC samples are:
585 <
586 < \begin{itemize}
157 < \footnotesize{
158 < \item \verb=/WZJetsTo3LNu_TuneZ2_8TeV-madgraph-tauola/Summer12-PU_S7_START52_V9-v2/AODSIM= ($\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.
584 > The critical samples are the WZJetsTo3LNu and ZZJetsTo4L, listed in Table~\ref{tab:mcsamples}
585 > (the WZJetsTo2L2Q, ZZJetsTo2L2Q, and ZZJetsTo2L2Nu samples are also used in this analysis but their contribution to the 3-lepton and 4-lepton
586 > control samples is negligible).
587  
588   \subsubsection{WZ Validation Studies}
589   \label{sec:bkg_wz}
# Line 170 | Line 593 | A pure WZ sample can be selected in data
593   \begin{itemize}
594   \item Exactly 3 $p_T>20$~GeV leptons passing analysis identication and isolation requirements,
595   \item 2 of the 3 leptons must fall in the Z window 81-101 GeV,
596 < \item \MET $>$ 50 GeV (to suppress DY).
596 > \item \MET $>$ 50 GeV (to suppress DY),
597 > \item veto events with b-tagged jets.
598   \end{itemize}
599  
600   The data and MC yields passing the above selection are in Table~\ref{tab:wz}.
601 < The inclusive yields (without any jet requirements) agree within 17\%, which is approximately equal
602 < to the uncertainty in the measured WZ cross section. A data vs. MC comparison of kinematic
601 > The inclusive yields (without any jet requirements) in the same-flavor final states (660 observed vs. 596 $\pm$ 5.2 MC expected)
602 > agree within 11\%, which is consistent within
603 > the $\approx$15\% uncertainty in the theory prediction for the WZ cross section. A data vs. MC comparison of kinematic
604   distributions (jet multiplicity, \MET, Z \pt) is given in Fig.~\ref{fig:wz}. High \MET\
605   values in WZ and ZZ events arise from highly boosted W or Z bosons that decay leptonically,
606   and we therefore check that the MC does a reasonable job of reproducing the \pt distributions of the
607   leptonically decaying \Z. While the inclusive WZ yields are in reasonable agreement, we observe
608   an excess in data in events with at least 2 jets, corresponding to the jet multiplicity requirement
609 < in our preselection. We observe 60 events in data while the MC predicts $34\pm5.2$~(stat), representing an excess of 78\%,
610 < as indicated in Table~\ref{tab:wz2j}. We note some possible contributions to this discrepancy:
609 > in our preselection. We observe 124 same-flavor events in data while the MC predicts $88\pm1.5$~(stat), representing an excess of 41\%,
610 > as indicated in Table~\ref{tab:wz2j}, and we therefore assess an uncertainty of 50\% on the WZ background.
611 > %We note that the contributions from fake leptons and from \zjets\ with mismeasured \MET\
612 > %is underestimated in the MC.
613 > %This excess will be studied further. For the time being, based on these studies we currently assess an uncertainty of 50\% on the WZ yield.
614 > %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}.
615  
187 \begin{itemize}
188
189 \item The \zjets\ contribution is under-estimated here, for 2 reasons: first, because the \zjets\
190 yield passing a \MET $>$ 50 GeV requirement is under-estimated in MC and second, because the fake
191 rate is typically under-estimated in the MC. To get a rough idea for how much the excess depends
192 on the \zjets\ yield, if the \zjets\ yield is doubled then the excess is reduced from 78\% to 55\%.
193 Also note that we are currently using 10\% of the \zjets\ MC sample and there is 1 event with a weight
194 of about 5, so the plots and tables will be remade with full \zjets\ sample.
195
196 \item The \ttbar\ contribution is under-estimated here because the fake
197 rate is typically under-estimated in the MC. To get a rough idea for how much the excess depends
198 on the \ttbar\ yield, if the \ttbar\ yield is doubled then the excess is reduced from 78\% to 57\%.
199
200 \item Currently no attempt is made to reject jets from pile-up interactions, which may be responsible
201 for some of the excess at large \njets. To check this, we increase the jet \pt threhsold to 40 GeV, which
202 helps to suppress PU jets, and observe 39 events in data vs. an MC prediction of $25\pm5.2$~(stat),
203 decreasing the excess from 78\% to 58\%. In the future this may be improved by explicitly
204 requiring the jets to be consistent with originating from the signal primary vertex.
616  
206 \end{itemize}
207
208 Based on these studies we currently assess an uncertainty of 80\% on the WZ yield.
617  
618   \begin{table}[htb]
619   \begin{center}
620   \caption{\label{tab:wz} Data and Monte Carlo yields passing the WZ preselection. }
621   \begin{tabular}{lccccc}
622 +
623 + %Loading babies at       : ../output/V00-02-13
624 + %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))&&(nbcsvm==0)
625 + %Using weight            : weight * 19.5 * trgeff * vtxweight
626 +
627 + \hline
628   \hline
629 +         Sample   &             ee   &       $\mu\mu$   &         e$\mu$   &          total  \\
630   \hline
631 <         Sample   &            ee    &        $\mu\mu$   &        e$\mu$   &          total  \\
631 >             WZ   &244.0 $\pm$ 1.6   &301.8 $\pm$ 1.6   & 17.0 $\pm$ 0.4   &562.8 $\pm$ 2.3  \\
632 >             ZZ   & 10.2 $\pm$ 0.1   & 12.8 $\pm$ 0.1   &  0.8 $\pm$ 0.0   & 23.8 $\pm$ 0.1  \\
633 >         \zjets   &  3.3 $\pm$ 2.4   &  5.8 $\pm$ 3.4   &  0.0 $\pm$ 0.0   &  9.0 $\pm$ 4.2  \\
634 >         \ttbar   &  0.6 $\pm$ 0.6   &  4.5 $\pm$ 1.6   &  2.1 $\pm$ 1.1   &  7.3 $\pm$ 2.0  \\
635 >     single top   &  0.0 $\pm$ 0.0   &  0.5 $\pm$ 0.5   &  0.0 $\pm$ 0.0   &  0.5 $\pm$ 0.5  \\
636 >             WW   &  0.0 $\pm$ 0.0   &  0.1 $\pm$ 0.1   &  0.2 $\pm$ 0.1   &  0.3 $\pm$ 0.1  \\
637 >            ttV   &  2.3 $\pm$ 0.2   &  2.6 $\pm$ 0.2   &  0.6 $\pm$ 0.1   &  5.5 $\pm$ 0.3  \\
638 >            VVV   &  3.0 $\pm$ 0.1   &  3.7 $\pm$ 0.1   &  0.6 $\pm$ 0.1   &  7.4 $\pm$ 0.2  \\
639   \hline
640 <             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  \\
640 >    total SM MC   &263.4 $\pm$ 3.0   &331.8 $\pm$ 4.2   & 21.4 $\pm$ 1.2   &616.6 $\pm$ 5.2  \\
641   \hline
642 <    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  \\
642 >           data   &            288   &            372   &             36   &            696  \\
643   \hline
644   \hline
645  
# Line 233 | Line 649 | Based on these studies we currently asse
649  
650   \begin{table}[htb]
651   \begin{center}
652 < \caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $>$ 2. }
652 > \caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $\geq$ 2. }
653   \begin{tabular}{lccccc}
654 +
655 + %Loading babies at       : ../output/V00-02-13
656 + %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))&&(nbcsvm==0))&&(njets>=2)
657 + %Using weight            : weight * 19.5 * trgeff * vtxweight
658 +
659   \hline
660   \hline
661 <         Sample   &            ee    &        $\mu\mu$   &        e$\mu$   &          total  \\
661 >         Sample   &             ee   &       $\mu\mu$   &         e$\mu$   &          total  \\
662   \hline
663 <             WZ   &  9.8 $\pm$ 0.3   & 13.3 $\pm$ 0.3   &  0.6 $\pm$ 0.1   & 23.6 $\pm$ 0.4  \\
664 <         \ttbar   &  0.2 $\pm$ 0.2   &  2.0 $\pm$ 0.9   &  2.2 $\pm$ 1.2   &  4.4 $\pm$ 1.5  \\
665 <         \zjets   &  0.0 $\pm$ 0.0   &  4.9 $\pm$ 4.9   &  0.0 $\pm$ 0.0   &  4.9 $\pm$ 4.9  \\
666 <             ZZ   &  0.3 $\pm$ 0.0   &  0.4 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.7 $\pm$ 0.0  \\
667 <             WW   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.1 $\pm$ 0.0  \\
668 <     single top   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
663 >             WZ   & 33.0 $\pm$ 0.6   & 41.1 $\pm$ 0.6   &  2.3 $\pm$ 0.2   & 76.3 $\pm$ 0.9  \\
664 >             ZZ   &  1.7 $\pm$ 0.0   &  2.1 $\pm$ 0.0   &  0.1 $\pm$ 0.0   &  3.9 $\pm$ 0.1  \\
665 >         \zjets   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
666 >         \ttbar   &  0.6 $\pm$ 0.6   &  1.3 $\pm$ 0.9   &  1.2 $\pm$ 0.9   &  3.1 $\pm$ 1.4  \\
667 >     single top   &  0.0 $\pm$ 0.0   &  0.5 $\pm$ 0.5   &  0.0 $\pm$ 0.0   &  0.5 $\pm$ 0.5  \\
668 >             WW   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
669 >           \ttV   &  1.8 $\pm$ 0.2   &  2.1 $\pm$ 0.2   &  0.4 $\pm$ 0.1   &  4.3 $\pm$ 0.3  \\
670 >            VVV   &  1.5 $\pm$ 0.1   &  2.0 $\pm$ 0.1   &  0.1 $\pm$ 0.0   &  3.7 $\pm$ 0.1  \\
671   \hline
672 <    total SM MC   & 10.3 $\pm$ 0.3   & 20.8 $\pm$ 5.0   &  2.8 $\pm$ 1.2   & 33.8 $\pm$ 5.2  \\
673 <           data   &             23   &             32   &              5   &             60  \\
672 >    total SM MC   & 38.7 $\pm$ 0.9   & 49.1 $\pm$ 1.2   &  4.1 $\pm$ 0.9   & 91.8 $\pm$ 1.7  \\
673 > \hline
674 >           data   &             61   &             63   &             11   &            135  \\
675   \hline
676   \hline
677  
# Line 257 | Line 681 | Based on these studies we currently asse
681  
682   \begin{figure}[tbh]
683   \begin{center}
684 < \includegraphics[width=1\linewidth]{plots/WZ.pdf}
684 > \includegraphics[width=1\linewidth]{plots/WZ_19p5fb.pdf}
685   \caption{\label{fig:wz}\protect
686   Data vs. MC comparisons for the WZ selection discussed in the text for \lumi.
687   The number of jets, missing transverse energy, and Z boson transverse momentum are displayed.
688   }
689 + \begin{comment}
690 +
691 + Loading babies at       : ../output/V00-02-13
692 + 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))&&(nbcsvm==0)
693 + Using weight            : weight * 19.5 * trgeff * vtxweight
694 + Plotting var njets flavor sf
695 + compareDataMC : apply trigeff 1
696 + MC yield VVV 6.78
697 + MC yield ttV 4.94
698 + MC yield WW 0.09
699 + MC yield single top 0.47
700 + MC yield ttbar 5.14
701 + MC yield ZZ 23.01
702 + MC yield WZ 545.78
703 + MC yield zjets 9.02
704 + MC total yield 595.23
705 + data yield 660
706 + Plotting var pfmet flavor sf
707 + compareDataMC : apply trigeff 1
708 + Warning in <TROOT::Append>: Replacing existing TH1: htemp (Potential memory leak).
709 + MC yield VVV 6.78
710 + MC yield ttV 4.94
711 + MC yield WW 0.09
712 + MC yield single top 0.47
713 + MC yield ttbar 5.14
714 + MC yield ZZ 23.01
715 + MC yield WZ 545.79
716 + MC yield zjets 9.02
717 + MC total yield 595.24
718 + data yield 660
719 + Warning in <TROOT::Append>: Replacing existing TH1: datahist (Potential memory leak).
720 + Warning in <TROOT::Append>: Replacing existing TH1: mc_0 (Potential memory leak).
721 + Warning in <TROOT::Append>: Replacing existing TH1: mc_1 (Potential memory leak).
722 + Warning in <TROOT::Append>: Replacing existing TH1: mc_2 (Potential memory leak).
723 + Warning in <TROOT::Append>: Replacing existing TH1: mc_3 (Potential memory leak).
724 + Warning in <TROOT::Append>: Replacing existing TH1: mc_4 (Potential memory leak).
725 + Warning in <TROOT::Append>: Replacing existing TH1: mc_5 (Potential memory leak).
726 + Warning in <TROOT::Append>: Replacing existing TH1: mc_6 (Potential memory leak).
727 + Warning in <TROOT::Append>: Replacing existing TH1: mc_7 (Potential memory leak).
728 + Plotting var dileppt flavor sf
729 + compareDataMC : apply trigeff 1
730 + Warning in <TROOT::Append>: Replacing existing TH1: htemp (Potential memory leak).
731 + MC yield VVV 6.78
732 + MC yield ttV 4.94
733 + MC yield WW 0.09
734 + MC yield single top 0.47
735 + MC yield ttbar 5.14
736 + MC yield ZZ 23.01
737 + MC yield WZ 545.78
738 + MC yield zjets 9.02
739 + MC total yield 595.23
740 + data yield 660
741 +
742 + \end{comment}
743 +
744   \end{center}
745   \end{figure}
746  
# Line 277 | Line 756 | A pure ZZ sample can be selected in data
756   \item 2 of the 4 leptons must fall in the $Z$ window 81-101 GeV.
757   \end{itemize}
758  
759 < The data and MC yields passing the above selection are in Table~\ref{tab:zz}. Again we observe an
760 < excess in data with respect to the MC prediction (29 observed vs. $17.3\pm0.1$~(stat) MC predicted).
761 < After requiring at least 2 jets, we observe 2 events and the MC predicts $1.5\pm0.1$~(stat).
762 < However, we have recently discovered that we may be using the wrong (too small) cross section for the ZZ sample,
763 < 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.
759 > The data and MC yields passing the above selection are in Table~\ref{tab:zz}.
760 > In this ZZ-dominated sample we observe good agreement between the data yield and the MC prediction.
761 > After requiring 2 jets (corresponding to the requirement in the analysis selection), we observe 11 events
762 > in data and the MC predicts $11\pm0.2$ events. Due to the limited statistical precision we assign an uncertainty
763 > of 50\% on the ZZ yield.
764  
765   \begin{table}[htb]
766   \begin{center}
767   \caption{\label{tab:zz} Data and Monte Carlo yields for the ZZ preselection. }
768   \begin{tabular}{lccccc}
769 +
770 + %Loading babies at       : ../output/V00-02-13
771 + %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)
772 + %Using weight            : weight * 19.5 * trgeff * vtxweight
773 +
774   \hline
775   \hline
776           Sample   &             ee   &       $\mu\mu$   &         e$\mu$   &          total  \\
777   \hline
778 <             ZZ   &  6.6 $\pm$ 0.0   &  9.9 $\pm$ 0.0   &  0.4 $\pm$ 0.0   & 17.0 $\pm$ 0.1  \\
779 <             WZ   &  0.1 $\pm$ 0.0   &  0.2 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.3 $\pm$ 0.0  \\
778 >             ZZ   & 53.0 $\pm$ 0.2   & 70.7 $\pm$ 0.2   &  3.5 $\pm$ 0.0   &127.2 $\pm$ 0.3  \\
779 >           \ttV   &  1.3 $\pm$ 0.2   &  1.4 $\pm$ 0.2   &  0.3 $\pm$ 0.1   &  3.0 $\pm$ 0.2  \\
780 >            VVV   &  0.7 $\pm$ 0.1   &  0.9 $\pm$ 0.1   &  0.0 $\pm$ 0.0   &  1.7 $\pm$ 0.1  \\
781           \zjets   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
782 +             WZ   &  0.1 $\pm$ 0.0   &  0.1 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.3 $\pm$ 0.1  \\
783           \ttbar   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
299             WW   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
784       single top   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
785 +             WW   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0   &  0.0 $\pm$ 0.0  \\
786 + \hline
787 +    total SM MC   & 55.1 $\pm$ 0.3   & 73.1 $\pm$ 0.3   &  3.9 $\pm$ 0.1   &132.1 $\pm$ 0.4  \\
788   \hline
789 <    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  \\
789 >           data   &             57   &             82   &              5   &            144  \\
790   \hline
791   \hline
792 +
793   \end{tabular}
794   \end{center}
795   \end{table}
796  
797   \begin{figure}[tbh]
798   \begin{center}
799 < \includegraphics[width=1\linewidth]{plots/ZZ.pdf}
799 > \includegraphics[width=1\linewidth]{plots/ZZ_19p5fb.pdf}
800   \caption{\label{fig:zz}\protect
801   Data vs. MC comparisons for the ZZ selection discussed in the text for \lumi.
802   The number of jets, missing transverse energy, and Z boson transverse momentum are displayed.
# Line 317 | Line 804 | The number of jets, missing transverse e
804   \end{center}
805   \end{figure}
806  
807 + \begin{comment}
808 +
809 + Loading babies at       : ../output/V00-02-13
810 + 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)
811 + Using weight            : weight * 19.5 * trgeff * vtxweight
812 + Plotting var njets flavor sf
813 + compareDataMC : apply trigeff 1
814 + MC yield VVV 1.63
815 + MC yield ttV 2.66
816 + MC yield WW 0.00
817 + MC yield single top 0.00
818 + MC yield ttbar 0.00
819 + MC yield ZZ 123.68
820 + MC yield WZ 0.25
821 + MC yield zjets 0.00
822 + MC total yield 128.21
823 + data yield 139
824 + Plotting var pfmet flavor sf
825 + compareDataMC : apply trigeff 1
826 + MC yield VVV 1.63
827 + MC yield ttV 2.66
828 + MC yield WW 0.00
829 + MC yield single top 0.00
830 + MC yield ttbar 0.00
831 + MC yield ZZ 123.66
832 + MC yield WZ 0.25
833 + MC yield zjets 0.00
834 + MC total yield 128.19
835 + data yield 139
836 + Plotting var dileppt flavor sf
837 + compareDataMC : apply trigeff 1
838 + MC yield VVV 1.63
839 + MC yield ttV 2.66
840 + MC yield WW 0.00
841 + MC yield single top 0.00
842 + MC yield ttbar 0.00
843 + MC yield ZZ 123.67
844 + MC yield WZ 0.25
845 + MC yield zjets 0.00
846 + MC total yield 128.20
847 + data yield 139
848 +
849 +
850 + \end{comment}
851  
852  
853  

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