ViewVC Help
View File | Revision Log | Show Annotations | Root Listing
root/cvsroot/UserCode/benhoob/cmsnotes/ZMet2012/bkg.tex
(Generate patch)

Comparing UserCode/benhoob/cmsnotes/ZMet2012/bkg.tex (file contents):
Revision 1.4 by benhoob, Fri Jun 29 19:41:46 2012 UTC vs.
Revision 1.13 by benhoob, Wed Dec 19 22:38:55 2012 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{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}.
# 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}}}{0.92}\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
# 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 $K=0.14\pm0.09$ 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
# Line 140 | Line 345 | For higher \MET\ regions we chose $K=0.1
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}
# Line 151 | Line 840 | For higher \MET\ regions we chose $K=0.1
840   Backgrounds from W($\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}
# Line 174 | Line 856 | A pure WZ sample can be selected in data
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
# Line 204 | Line 893 | decreasing the excess from 78\% to 58\%.
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  
# Line 233 | Line 932 | Based on these studies we currently asse
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  
# Line 257 | Line 969 | Based on these studies we currently asse
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  
# Line 277 | Line 1034 | A pure ZZ sample can be selected in data
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.

Diff Legend

Removed lines
+ Added lines
< Changed lines
> Changed lines