| 1 |
%\clearpage
|
| 2 |
\section{Background Estimation Techniques}
|
| 3 |
\label{sec:bkg}
|
| 4 |
|
| 5 |
In this section we describe the techniques used to estimate the SM backgrounds in our signal regions defined by requirements of large \MET.
|
| 6 |
The SM backgrounds fall into three categories:
|
| 7 |
|
| 8 |
\begin{itemize}
|
| 9 |
\item \zjets: this is the dominant background after the preselection. The \MET\ in \zjets\ events is estimated with the
|
| 10 |
``\MET\ templates'' technique described in Sec.~\ref{sec:bkg_zjets};
|
| 11 |
\item Flavor-symmetric (FS) backgrounds: this category includes processes which produces 2 leptons of uncorrelated flavor. It is dominated
|
| 12 |
by \ttbar\ but also contains Z$\to\tau\tau$, WW, and single top processes. This is the dominant contribution in the signal regions, and it
|
| 13 |
is estimated using a data control sample of e$\mu$ events as described in Sec.~\ref{sec:bkg_fs};
|
| 14 |
\item WZ and ZZ backgrounds: this background is estimated from MC, after validating the MC modeling of these processes using data control
|
| 15 |
samples with jets and exactly 3 leptons (WZ control sample) and exactly 4 leptons (ZZ control sample) as described in Sec.~\ref{sec:bkg_vz};
|
| 16 |
%\item Rare SM backgrounds: this background contains rare processes such as $t\bar{t}$V and triple vector boson processes VVV (V=W,Z).
|
| 17 |
%This background is estimated from MC as described in Sec.~\ref{sec:bkg_raresm}. {\bf FIXME: add rare MC}
|
| 18 |
\end{itemize}
|
| 19 |
|
| 20 |
\subsection{Estimating the \zjets\ Background with \MET\ Templates}
|
| 21 |
\label{sec:bkg_zjets}
|
| 22 |
|
| 23 |
The premise of this data driven technique is that \MET\ in \zjets\ events
|
| 24 |
is produced by the hadronic recoil system and {\it not} by the leptons making up the Z.
|
| 25 |
Therefore, the basic idea of the \MET\ template method is to measure the \MET\ distribution in
|
| 26 |
a control sample which has no true MET and the same general attributes regarding
|
| 27 |
fake MET as in \zjets\ events. We thus use a sample of \gjets\ events, since both \zjets\
|
| 28 |
and \gjets\ events consist of a well-measured object recoiling against hadronic jets.
|
| 29 |
|
| 30 |
For selecting photon-like objects, the very loose photon selection described in Sec.~\ref{sec:phosel} is used.
|
| 31 |
It is not essential for the photon sample to have high purity. For our purposes, selecting jets with predominantly
|
| 32 |
electromagnetic energy deposition in a good fiducial volume suffices to ensure that
|
| 33 |
they are well measured and do not contribute to fake \MET. The \gjets\ events are selected with a suite of
|
| 34 |
single photon triggers with \pt thresholds varying from 22--90 GeV. The events are weighted by the trigger prescale
|
| 35 |
such that \gjets\ events evenly sample the conditions over the full period of data taking.
|
| 36 |
There remains a small difference in the PU conditions in the \gjets\ vs. \zjets\ samples due to the different
|
| 37 |
dependencies of the $\gamma$ vs. Z isolation efficiencies on PU. To account for this, we reweight the \gjets\ samples
|
| 38 |
to match the distribution of reconstructed primary vertices in the \zjets\ sample.
|
| 39 |
|
| 40 |
To account for kinematic differences between the hadronic systems in the control vs. signal
|
| 41 |
samples, we measure the \MET\ distributions in the \gjets\ sample in bins of the number of jets
|
| 42 |
and the scalar sum of jet transverse energies (\Ht). These \MET\ templates are extracted separately from the 5 single photon
|
| 43 |
triggers with thresholds 22, 36, 50, 75, and 90 GeV, so that the templates are effectively binned in photon \pt.
|
| 44 |
All \MET distributions are normalized to unit area to form ``MET templates''.
|
| 45 |
The prediction of the MET in each \Z event is the template which corresponds to the \njets,
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| 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 |
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}
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| 55 |
\label{sec:bkg_fs}
|
| 56 |
|
| 57 |
In this subsection we describe the background estimate for the FS background. Since this background produces equal rates of same-flavor (SF)
|
| 58 |
ee and $\mu\mu$ lepton pairs as opposite-flavor (OF) e$\mu$ lepton pairs, the OF yield can be used to estimate the SF yield, after
|
| 59 |
correcting for the different electron vs. muon offline selection efficiencies and the different efficiencies for the ee, $\mu\mu$, and e$\mu$ triggers.
|
| 60 |
|
| 61 |
An important quantity needed to translate from the OF yield to a prediction for the background in the SF final state is the ratio
|
| 62 |
$R_{\mu e} = \epsilon_\mu / \epsilon_e$, where $\epsilon_\mu$ ($\epsilon_e$) indicates the offline muon (electron) selection efficiency.
|
| 63 |
This quantity can be extracted from data using the observed Z$\to\mu\mu$ and Z$\to$ee yields in the preselection region, after correcting
|
| 64 |
for the different trigger efficiencies.
|
| 65 |
|
| 66 |
Hence we define:
|
| 67 |
|
| 68 |
\begin{itemize}
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| 69 |
\item $N_{ee}^{\rm{trig}} = \epsilon_{ee}^{\rm{trig}}N_{ee}^{\rm{offline}}$,
|
| 70 |
\item $N_{\mu\mu}^{\rm{trig}} = \epsilon_{\mu\mu}^{\rm{trig}}N_{\mu\mu}^{\rm{offline}}$,
|
| 71 |
\item $N_{e\mu}^{\rm{trig}} = \epsilon_{e\mu}^{\rm{trig}}N_{e\mu}^{\rm{offline}}$.
|
| 72 |
\end{itemize}
|
| 73 |
|
| 74 |
Here $N_{\ell\ell}^{\rm{trig}}$ denotes the number of selected Z events in the $\ell\ell$ channel passing the offline and trigger selection
|
| 75 |
(in other words, the number of recorded and selected events), $\epsilon_{\ell\ell}^{\rm{trig}}$ is the trigger efficiency, and
|
| 76 |
$N_{\ell\ell}^{\rm{offline}}$ is the number of events that would have passed the offline selection if the trigger had an efficiency of 100\%.
|
| 77 |
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{304953/0.88}{239661/0.95}} = 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}.
|
| 85 |
The indicated uncertainty is due to the 3\% uncertainties in the trigger efficiencies. %{\bf FIXME: check for variation w.r.t. lepton \pt}.
|
| 86 |
The predicted yields in the ee and $\mu\mu$ final states are calculated from the observed e$\mu$ yield as
|
| 87 |
|
| 88 |
\begin{itemize}
|
| 89 |
\item $N_{ee}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{ee}^{\rm{trig}}} {2 R_{\mu e}}
|
| 90 |
= \frac{N_{e\mu}^{\rm{trig}}}{0.92}\frac{0.95}{2\times1.17} = (0.44\pm0.05) \times N_{e\mu}^{\rm{trig}}$ ,
|
| 91 |
\item $N_{\mu\mu}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{\mu\mu}^{\rm{trig}} R_{\mu e}} {2}
|
| 92 |
= \frac {N_{e\mu}^{\rm{trig}}} {0.95} \frac {0.88 \times 1.17}{2} = (0.54\pm0.07) \times N_{e\mu}^{\rm{trig}}$,
|
| 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 $N_{ee+\mu\mu}^{\rm{predicted}} = (0.98\pm0.06)\times N_{e\mu}^{\rm{trig}}$.
|
| 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
|
| 102 |
because the uncertainty in $R_{\mu e}$ cancels when summing the ee and $\mu\mu$ predictions. %{\bf N.B. these uncertainties are preliminary}.
|
| 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.
|
| 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\ $>$ 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/extractK_inclusive_19fb.pdf} &
|
| 117 |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_19fb.pdf} \\
|
| 118 |
\end{tabular}
|
| 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.
|
| 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_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
|
| 342 |
exclusive \MET\ intervals (right) for the targeted analysis, including the b-veto.
|
| 343 |
Based on this we chose $K=0.13\pm0.02$ for the \MET\ regions up to \MET\ $>$ 100 GeV.
|
| 344 |
For higher \MET\ regions we chose $K=0.13\pm0.07$.
|
| 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}
|
| 838 |
\label{sec:bkg_vz}
|
| 839 |
|
| 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 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}
|
| 849 |
|
| 850 |
A pure WZ sample can be selected in data with the requirements:
|
| 851 |
|
| 852 |
\begin{itemize}
|
| 853 |
\item Exactly 3 $p_T>20$~GeV leptons passing analysis identication and isolation requirements,
|
| 854 |
\item 2 of the 3 leptons must fall in the Z window 81-101 GeV,
|
| 855 |
\item \MET $>$ 50 GeV (to suppress DY).
|
| 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 16\%, which is consistent within
|
| 860 |
the $\approx$15\% uncertainty in the theory prediction for the WZ cross section. 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 200 events in data while the MC predicts $130\pm3.1$~(stat), representing an excess of 53\%,
|
| 867 |
as indicated in Table~\ref{tab:wz2j}, and we therefore assess an uncertainty of 50\% on the WZ background.
|
| 868 |
%We note that the contributions from fake leptons and from \zjets\ with mismeasured \MET\
|
| 869 |
%is underestimated in the MC.
|
| 870 |
%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.
|
| 871 |
%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}.
|
| 872 |
|
| 873 |
\begin{comment}
|
| 874 |
We note some possible contributions to this discrepancy:
|
| 875 |
|
| 876 |
\begin{itemize}
|
| 877 |
|
| 878 |
\item {\bf The following checks refer to the 5.2 fb$^{-1}$ results and will be updated.}
|
| 879 |
|
| 880 |
\item The \zjets\ contribution is under-estimated here, for 2 reasons: first, because the \zjets\
|
| 881 |
yield passing a \MET $>$ 50 GeV requirement is under-estimated in MC and second, because the fake
|
| 882 |
rate is typically under-estimated in the MC. To get a rough idea for how much the excess depends
|
| 883 |
on the \zjets\ yield, if the \zjets\ yield is doubled then the excess is reduced from 78\% to 55\%.
|
| 884 |
Also note that we are currently using 10\% of the \zjets\ MC sample and there is 1 event with a weight
|
| 885 |
of about 5, so the plots and tables will be remade with full \zjets\ sample.
|
| 886 |
|
| 887 |
\item The \ttbar\ contribution is under-estimated here because the fake
|
| 888 |
rate is typically under-estimated in the MC. To get a rough idea for how much the excess depends
|
| 889 |
on the \ttbar\ yield, if the \ttbar\ yield is doubled then the excess is reduced from 78\% to 57\%.
|
| 890 |
|
| 891 |
\item Currently no attempt is made to reject jets from pile-up interactions, which may be responsible
|
| 892 |
for some of the excess at large \njets. To check this, we increase the jet \pt threhsold to 40 GeV, which
|
| 893 |
helps to suppress PU jets, and observe 39 events in data vs. an MC prediction of $25\pm5.2$~(stat),
|
| 894 |
decreasing the excess from 78\% to 58\%. In the future this may be improved by explicitly
|
| 895 |
requiring the jets to be consistent with originating from the signal primary vertex.
|
| 896 |
|
| 897 |
\end{itemize}
|
| 898 |
\end{comment}
|
| 899 |
|
| 900 |
|
| 901 |
|
| 902 |
\begin{table}[htb]
|
| 903 |
\begin{center}
|
| 904 |
\caption{\label{tab:wz} Data and Monte Carlo yields passing the WZ preselection. }
|
| 905 |
\begin{tabular}{lccccc}
|
| 906 |
|
| 907 |
%Loading babies at : ../output/V00-02-00
|
| 908 |
%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)
|
| 909 |
%Using weight : weight * 19.3 * trgeff * vtxweight
|
| 910 |
|
| 911 |
\hline
|
| 912 |
\hline
|
| 913 |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\
|
| 914 |
\hline
|
| 915 |
%SCALING ZJETS BY 111/946
|
| 916 |
WZ &244.9 $\pm$ 1.6 &317.9 $\pm$ 1.8 & 17.0 $\pm$ 0.4 &579.7 $\pm$ 2.4 \\
|
| 917 |
\zjets & 2.5 $\pm$ 2.0 & 6.4 $\pm$ 3.9 & 0.0 $\pm$ 0.0 & 8.9 $\pm$ 4.3 \\
|
| 918 |
ZZ & 5.3 $\pm$ 0.0 & 7.1 $\pm$ 0.1 & 0.4 $\pm$ 0.0 & 12.8 $\pm$ 0.1 \\
|
| 919 |
\ttbar & 2.5 $\pm$ 1.3 & 6.7 $\pm$ 2.0 & 7.5 $\pm$ 2.1 & 16.7 $\pm$ 3.2 \\
|
| 920 |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\
|
| 921 |
WW & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.1 & 0.2 $\pm$ 0.1 & 0.3 $\pm$ 0.1 \\
|
| 922 |
ttV & 8.6 $\pm$ 0.4 & 10.3 $\pm$ 0.4 & 2.5 $\pm$ 0.2 & 21.5 $\pm$ 0.7 \\
|
| 923 |
VVV & 3.4 $\pm$ 0.1 & 4.3 $\pm$ 0.1 & 0.6 $\pm$ 0.1 & 8.3 $\pm$ 0.2 \\
|
| 924 |
\hline
|
| 925 |
tot SM MC &267.1 $\pm$ 2.9 &353.3 $\pm$ 4.7 & 28.2 $\pm$ 2.2 &648.6 $\pm$ 6.0 \\
|
| 926 |
\hline
|
| 927 |
data & 312 & 391 & 50 & 753 \\
|
| 928 |
\hline
|
| 929 |
\hline
|
| 930 |
|
| 931 |
\end{tabular}
|
| 932 |
\end{center}
|
| 933 |
\end{table}
|
| 934 |
|
| 935 |
\begin{table}[htb]
|
| 936 |
\begin{center}
|
| 937 |
\caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $\geq$ 2. }
|
| 938 |
\begin{tabular}{lccccc}
|
| 939 |
|
| 940 |
%Loading babies at : ../output/V00-02-00
|
| 941 |
%-------------------------------------
|
| 942 |
%USING SKIMMED SAMPLES WITH NJETS >= 2
|
| 943 |
%-------------------------------------
|
| 944 |
|
| 945 |
%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)
|
| 946 |
%Using weight : weight * 19.3 * trgeff * vtxweight
|
| 947 |
|
| 948 |
\hline
|
| 949 |
\hline
|
| 950 |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\
|
| 951 |
\hline
|
| 952 |
%SCALING ZJETS BY 111/946
|
| 953 |
\ttbar & 1.6 $\pm$ 0.9 & 3.4 $\pm$ 1.5 & 1.8 $\pm$ 1.1 & 6.9 $\pm$ 2.0 \\
|
| 954 |
\zjets & 1.9 $\pm$ 1.9 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 1.9 $\pm$ 1.9 \\
|
| 955 |
WZ & 40.0 $\pm$ 0.7 & 51.5 $\pm$ 0.7 & 2.7 $\pm$ 0.2 & 94.3 $\pm$ 1.0 \\
|
| 956 |
ZZ & 1.0 $\pm$ 0.0 & 1.4 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 2.6 $\pm$ 0.0 \\
|
| 957 |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\
|
| 958 |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\
|
| 959 |
ttV & 8.0 $\pm$ 0.4 & 9.5 $\pm$ 0.4 & 2.2 $\pm$ 0.2 & 19.6 $\pm$ 0.6 \\
|
| 960 |
VVV & 1.9 $\pm$ 0.1 & 2.6 $\pm$ 0.1 & 0.2 $\pm$ 0.0 & 4.6 $\pm$ 0.2 \\
|
| 961 |
\hline
|
| 962 |
tot SM MC & 54.4 $\pm$ 2.2 & 69.0 $\pm$ 1.8 & 6.9 $\pm$ 1.1 &130.4 $\pm$ 3.1 \\
|
| 963 |
\hline
|
| 964 |
data & 87 & 91 & 22 & 200 \\
|
| 965 |
\hline
|
| 966 |
\hline
|
| 967 |
|
| 968 |
\end{tabular}
|
| 969 |
\end{center}
|
| 970 |
\end{table}
|
| 971 |
|
| 972 |
\begin{figure}[tbh]
|
| 973 |
\begin{center}
|
| 974 |
\includegraphics[width=1\linewidth]{plots/WZ_19fb.pdf}
|
| 975 |
\caption{\label{fig:wz}\protect
|
| 976 |
Data vs. MC comparisons for the WZ selection discussed in the text for \lumi.
|
| 977 |
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed.
|
| 978 |
}
|
| 979 |
\begin{comment}
|
| 980 |
Loading babies at : ../output/V00-02-00
|
| 981 |
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)
|
| 982 |
Using weight : weight * 19.3 * trgeff * vtxweight
|
| 983 |
Plotting var njets flavor sf
|
| 984 |
compareDataMC : apply trigeff 1
|
| 985 |
MC yield VVV 7.73
|
| 986 |
MC yield ttV 18.95
|
| 987 |
MC yield single top 0.51
|
| 988 |
MC yield WW 0.09
|
| 989 |
MC yield ZZ 12.38
|
| 990 |
MC yield WZ 562.71
|
| 991 |
MC yield ttbar 9.18
|
| 992 |
SCALING ZJETS BY 111/946
|
| 993 |
MC yield zjets 8.85
|
| 994 |
MC total yield 620.39
|
| 995 |
data yield 703
|
| 996 |
Plotting var pfmet flavor sf
|
| 997 |
compareDataMC : apply trigeff 1
|
| 998 |
MC yield VVV 7.73
|
| 999 |
MC yield ttV 18.95
|
| 1000 |
MC yield single top 0.51
|
| 1001 |
MC yield WW 0.09
|
| 1002 |
MC yield ZZ 12.38
|
| 1003 |
MC yield WZ 562.72
|
| 1004 |
MC yield ttbar 9.18
|
| 1005 |
SCALING ZJETS BY 111/946
|
| 1006 |
MC yield zjets 8.85
|
| 1007 |
MC total yield 620.40
|
| 1008 |
data yield 703
|
| 1009 |
Plotting var dileppt flavor sf
|
| 1010 |
compareDataMC : apply trigeff 1
|
| 1011 |
MC yield VVV 7.73
|
| 1012 |
MC yield ttV 18.95
|
| 1013 |
MC yield single top 0.51
|
| 1014 |
MC yield WW 0.09
|
| 1015 |
MC yield ZZ 12.38
|
| 1016 |
MC yield WZ 562.71
|
| 1017 |
MC yield ttbar 9.18
|
| 1018 |
SCALING ZJETS BY 111/946
|
| 1019 |
MC yield zjets 8.85
|
| 1020 |
MC total yield 620.38
|
| 1021 |
data yield 703
|
| 1022 |
\end{comment}
|
| 1023 |
|
| 1024 |
\end{center}
|
| 1025 |
\end{figure}
|
| 1026 |
|
| 1027 |
\clearpage
|
| 1028 |
|
| 1029 |
\subsubsection{ZZ Validation Studies}
|
| 1030 |
\label{sec:bkg_zz}
|
| 1031 |
|
| 1032 |
A pure ZZ sample can be selected in data with the requirements:
|
| 1033 |
|
| 1034 |
\begin{itemize}
|
| 1035 |
\item Exactly 4 $p_T>20$~GeV leptons passing analysis identication and isolation requirements,
|
| 1036 |
\item 2 of the 4 leptons must fall in the $Z$ window 81-101 GeV.
|
| 1037 |
\end{itemize}
|
| 1038 |
|
| 1039 |
The data and MC yields passing the above selection are in Table~\ref{tab:zz}.
|
| 1040 |
In this ZZ-dominated sample we observe good agreement between the data yield and the MC prediction.
|
| 1041 |
After requiring 2 jets (corresponding to the requirement in the analysis selection), we observe 14 events
|
| 1042 |
in data and the MC predicts $13.2\pm0.2$ events. Due to the limited statistical precision we assign an uncertainty
|
| 1043 |
of 50\% on the ZZ yield.
|
| 1044 |
|
| 1045 |
\begin{table}[htb]
|
| 1046 |
\begin{center}
|
| 1047 |
\caption{\label{tab:zz} Data and Monte Carlo yields for the ZZ preselection. }
|
| 1048 |
\begin{tabular}{lccccc}
|
| 1049 |
|
| 1050 |
%Loading babies at : ../output/V00-02-00
|
| 1051 |
%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)
|
| 1052 |
%Using weight : weight * 19.3 * trgeff * vtxweight
|
| 1053 |
|
| 1054 |
\hline
|
| 1055 |
\hline
|
| 1056 |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\
|
| 1057 |
\hline
|
| 1058 |
%SCALING ZZ BY 1.92
|
| 1059 |
ZZ & 52.7 $\pm$ 0.2 & 73.3 $\pm$ 0.2 & 3.4 $\pm$ 0.0 &129.4 $\pm$ 0.3 \\
|
| 1060 |
WZ & 0.1 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.3 $\pm$ 0.1 \\
|
| 1061 |
%SCALING ZJETS BY 111/946
|
| 1062 |
\zjets & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\
|
| 1063 |
\ttbar & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\
|
| 1064 |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\
|
| 1065 |
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\
|
| 1066 |
ttV & 1.3 $\pm$ 0.2 & 1.4 $\pm$ 0.2 & 0.3 $\pm$ 0.1 & 3.0 $\pm$ 0.2 \\
|
| 1067 |
VVV & 0.6 $\pm$ 0.1 & 0.8 $\pm$ 0.1 & 0.0 $\pm$ 0.0 & 1.4 $\pm$ 0.1 \\
|
| 1068 |
\hline
|
| 1069 |
tot SM MC & 54.7 $\pm$ 0.3 & 75.6 $\pm$ 0.3 & 3.8 $\pm$ 0.1 &134.1 $\pm$ 0.4 \\
|
| 1070 |
\hline
|
| 1071 |
data & 56 & 80 & 5 & 141 \\
|
| 1072 |
\hline
|
| 1073 |
\hline
|
| 1074 |
|
| 1075 |
\end{tabular}
|
| 1076 |
\end{center}
|
| 1077 |
\end{table}
|
| 1078 |
|
| 1079 |
\begin{figure}[tbh]
|
| 1080 |
\begin{center}
|
| 1081 |
\includegraphics[width=1\linewidth]{plots/ZZ_19fb.pdf}
|
| 1082 |
\caption{\label{fig:zz}\protect
|
| 1083 |
Data vs. MC comparisons for the ZZ selection discussed in the text for \lumi.
|
| 1084 |
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed.
|
| 1085 |
}
|
| 1086 |
\end{center}
|
| 1087 |
\end{figure}
|
| 1088 |
|
| 1089 |
\begin{comment}
|
| 1090 |
Loading babies at : ../output/V00-02-00
|
| 1091 |
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)
|
| 1092 |
Using weight : weight * 19.3 * trgeff * vtxweight
|
| 1093 |
Plotting var njets flavor sf
|
| 1094 |
compareDataMC : apply trigeff 1
|
| 1095 |
|
| 1096 |
MC yield VVV 1.40
|
| 1097 |
MC yield ttV 2.64
|
| 1098 |
MC yield single top 0.00
|
| 1099 |
MC yield WW 0.00
|
| 1100 |
MC yield ttbar 0.00
|
| 1101 |
SCALING ZJETS BY 111/946
|
| 1102 |
MC yield zjets 0.00
|
| 1103 |
MC yield WZ 0.27
|
| 1104 |
SCALING ZJETS BY 1.92
|
| 1105 |
MC yield ZZ 125.99
|
| 1106 |
MC total yield 130.31
|
| 1107 |
data yield 136
|
| 1108 |
Plotting var pfmet flavor sf
|
| 1109 |
compareDataMC : apply trigeff 1
|
| 1110 |
MC yield VVV 1.40
|
| 1111 |
MC yield ttV 2.64
|
| 1112 |
MC yield single top 0.00
|
| 1113 |
MC yield WW 0.00
|
| 1114 |
MC yield ttbar 0.00
|
| 1115 |
SCALING ZJETS BY 111/946
|
| 1116 |
MC yield zjets 0.00
|
| 1117 |
MC yield WZ 0.27
|
| 1118 |
SCALING ZJETS BY 1.92
|
| 1119 |
MC yield ZZ 126.00
|
| 1120 |
MC total yield 130.32
|
| 1121 |
data yield 136
|
| 1122 |
Plotting var dileppt flavor sf
|
| 1123 |
compareDataMC : apply trigeff 1
|
| 1124 |
MC yield VVV 1.40
|
| 1125 |
MC yield ttV 2.64
|
| 1126 |
MC yield single top 0.00
|
| 1127 |
MC yield WW 0.00
|
| 1128 |
MC yield ttbar 0.00
|
| 1129 |
SCALING ZJETS BY 111/946
|
| 1130 |
MC yield zjets 0.00
|
| 1131 |
MC yield WZ 0.27
|
| 1132 |
SCALING ZJETS BY 1.92
|
| 1133 |
MC yield ZZ 126.00
|
| 1134 |
MC total yield 130.33
|
| 1135 |
data yield 136
|
| 1136 |
\end{comment}
|
| 1137 |
|
| 1138 |
|
| 1139 |
|
| 1140 |
%\subsection{Estimating the Rare SM Backgrounds with MC}
|
| 1141 |
%\label{sec:bkg_raresm}
|
| 1142 |
|
| 1143 |
%{\bf TODO: list samples, yields in preselection region, and show \MET\ distribution}
|
