| 7 |
|
|
| 8 |
|
[UPDATE SELECTION] |
| 9 |
|
|
| 10 |
< |
The single lepton preselection sample is based on the following criteria |
| 10 |
> |
The single lepton preselection sample is based on the following criteria, starting from the requirements described |
| 11 |
> |
on \url{https://twiki.cern.ch/twiki/bin/viewauth/CMS/SUSYstop#SINGLE_LEPTON_CHANNEL} |
| 12 |
|
\begin{itemize} |
| 13 |
|
\item satisfy the trigger requirement (see |
| 14 |
< |
Table.~\ref{tab:DatasetsData}). Dilepton triggers are used only for the dilepton control region. |
| 14 |
> |
Table.~\ref{tab:DatasetsData}). |
| 15 |
> |
Note that the analysis triggers are inclusive single lepton triggers. |
| 16 |
> |
Dilepton triggers are used only for the dilepton control region. |
| 17 |
|
\item select events with one high \pt\ electron or muon, requiring |
| 18 |
|
\begin{itemize} |
| 19 |
< |
\item $\pt>30~\GeVc$ and $|\eta|<2.1$ |
| 20 |
< |
\item satisfy the identification and isolation requirements detailed |
| 21 |
< |
in the same-sign SUSY analysis (SUS-11-010) for electrons and the opposite-sign |
| 22 |
< |
SUSY analysis (SUS-11-011) for muons |
| 19 |
> |
\item $\pt>30~\GeVc$ and $|\eta|<1.4442 (2.4)$ for electrons (muons) |
| 20 |
> |
\item muon ID criteria is based on the 2012 POG recommended tight working point |
| 21 |
> |
\item electron ID critera is based on the 2012 POG recommended medium working point |
| 22 |
> |
\item PF-based isolation ($\Delta R < 0.3$, $\Delta\beta$ corrected) relative $<$ 0.15 and absolute $<$ 5~GeV |
| 23 |
> |
\item $|\pt(\rm{PF}_{lep}) - \pt(\rm{RECO}_{lep})| < 10~\GeV$ |
| 24 |
> |
\item $E/p_{in} < 4$ (electrons only) |
| 25 |
|
\end{itemize} |
| 26 |
|
\item require at least 4 PF jets in the event with $\pt>30~\GeV$ |
| 27 |
|
within $|\eta|<2.5$ out of which at least 1 satisfies the CSV |
| 29 |
|
\item require moderate $\met>50~\GeV$ |
| 30 |
|
\end{itemize} |
| 31 |
|
|
| 32 |
< |
Table~\ref{tab:preselectionyield} shows the yields in data and MC without any corrections for this preselection region. |
| 32 |
> |
%Table~\ref{tab:preselectionyield} shows the yields in data and MC without any corrections for this preselection region. |
| 33 |
|
|
| 34 |
< |
\begin{table}[!h] |
| 35 |
< |
\begin{center} |
| 36 |
< |
\begin{tabular}{c|c} |
| 37 |
< |
\hline |
| 38 |
< |
\hline |
| 39 |
< |
\end{tabular} |
| 40 |
< |
\caption{ Raw Data and MC predictions without any corrections are shown after preselection. \label{tab:preselectionyield}} |
| 41 |
< |
\end{center} |
| 42 |
< |
\end{table} |
| 34 |
> |
%\begin{table}[!h] |
| 35 |
> |
%\begin{center} |
| 36 |
> |
%\begin{tabular}{c|c} |
| 37 |
> |
%\hline |
| 38 |
> |
%\hline |
| 39 |
> |
%\end{tabular} |
| 40 |
> |
%\caption{ Raw Data and MC predictions without any corrections are shown after preselection. \label{tab:preselectionyield}} |
| 41 |
> |
%\end{center} |
| 42 |
> |
%\end{table} |
| 43 |
|
|
| 44 |
|
\subsection{Signal Region Selection} |
| 45 |
|
|
| 83 |
|
|
| 84 |
|
\begin{table}[!h] |
| 85 |
|
\begin{center} |
| 86 |
< |
\begin{tabular}{l||c|c|c|c} |
| 86 |
> |
\begin{tabular}{l||c|c|c|c|c} |
| 87 |
|
\hline |
| 88 |
< |
Sample & SRA & SRB & SRC & SRD \\ |
| 88 |
> |
Sample & SRA & SRB & SRC & SRD & SRE\\ |
| 89 |
|
\hline |
| 90 |
|
\hline |
| 91 |
< |
\ttdl\ & $700 \pm 15$& $408 \pm 12$& $134 \pm 7$& $43 \pm 4$ \\ |
| 92 |
< |
\ttsl\ \& single top (1\Lep) & $111 \pm 6$& $71 \pm 5$& $15 \pm 2$& $4 \pm 1$ \\ |
| 93 |
< |
\wjets\ & $58 \pm 35$& $57 \pm 35$& $29 \pm 26$& $26 \pm 26$ \\ |
| 94 |
< |
Rare & $63 \pm 3$& $40 \pm 3$& $17 \pm 2$& $7 \pm 1$ \\ |
| 91 |
> |
\ttdl\ & $619 \pm 9$& $366 \pm 7$& $127 \pm 4$& $44 \pm 2$& $17 \pm 1$ \\ |
| 92 |
> |
\ttsl\ \& single top (1\Lep) & $95 \pm 3$& $67 \pm 3$& $15 \pm 1$& $6 \pm 1$& $2 \pm 1$ \\ |
| 93 |
> |
\wjets\ & $29 \pm 2$& $15 \pm 2$& $6 \pm 1$& $3 \pm 1$& $1 \pm 0$ \\ |
| 94 |
> |
Rare & $59 \pm 3$& $38 \pm 3$& $16 \pm 2$& $8 \pm 1$& $4 \pm 1$ \\ |
| 95 |
|
\hline |
| 96 |
< |
Total & $932 \pm 39$& $576 \pm 38$& $195 \pm 27$& $80 \pm 26$ \\ |
| 96 |
> |
Total & $802 \pm 10$& $486 \pm 8$& $164 \pm 5$& $62 \pm 3$& $23 \pm 2$ \\ |
| 97 |
|
\hline |
| 98 |
|
\end{tabular} |
| 99 |
|
\caption{ Expected SM background contributions, including both muon |
| 100 |
< |
and electron channels. The uncertainties are statistical only. ADD |
| 100 |
> |
and electron channels. This is ``dead reckoning'' MC with no |
| 101 |
> |
correction. |
| 102 |
> |
It is meant only as a general guide. The uncertainties are statistical only. ADD |
| 103 |
|
SIGNAL POINTS. |
| 104 |
|
\label{tab:srrawmcyields}} |
| 105 |
|
\end{center} |
| 219 |
|
\end{table} |
| 220 |
|
|
| 221 |
|
|
| 222 |
< |
\subsubsection{Modeling of Additional Hard Jets in Top Dilepton Events} |
| 216 |
< |
\label{sec:jetmultiplicity} |
| 222 |
> |
\subsubsection{Lepton Selection Efficiency Measurements} |
| 223 |
|
|
| 224 |
< |
[CHECK, UPDATE, ADD EQUATIONS COMMENTED IN THE BOTTOM OF FILE \\ |
| 219 |
< |
REFERENCE APPENDIX INFO. (FROM 7 TEV) AND SUMMARIZE THAT INFORMATION HERE] |
| 224 |
> |
[TO BE UDPATED WITH T\&P STUDIES ON ID,ISO EFFICIENCIES] |
| 225 |
|
|
| 226 |
< |
Dilepton \ttbar\ events have 2 jets from the top decays, so additional |
| 227 |
< |
jets from radiation or higher order contributions are required to |
| 228 |
< |
enter the signal sample. The modeling of addtional jets in \ttbar\ |
| 229 |
< |
events is checked in a \ttll\ control sample, |
| 230 |
< |
selected by requiring |
| 231 |
< |
\begin{itemize} |
| 232 |
< |
\item exactly 2 selected electrons or muons with \pt $>$ 20 GeV |
| 233 |
< |
\item \met\ $>$ 100 GeV |
| 234 |
< |
\item $\geq1$ b-tagged jet |
| 235 |
< |
\item Z-veto |
| 236 |
< |
\end{itemize} |
| 237 |
< |
Figure~\ref{fig:dileptonnjets} shows a comparison of the jet |
| 238 |
< |
multiplicity distribution in data and MC for this two-lepton control |
| 239 |
< |
sample. After requiring at least 1 b-tagged jet, most of the |
| 240 |
< |
events have 2 jets, as expected from the dominant process \ttll. There is also a |
| 241 |
< |
significant fraction of events with additional jets. |
| 242 |
< |
The 3-jet sample is mainly comprised of \ttbar\ events with 1 additional |
| 243 |
< |
emission and similarly the $\ge4$-jet sample contains primarily |
| 244 |
< |
$\ttbar+\ge2$ jet events. |
| 245 |
< |
%Even though the primary \ttbar\ |
| 246 |
< |
%Madgraph sample used includes up to 3 additional partons at the Matrix |
| 247 |
< |
%Element level, which are intended to describe additional hard jets, |
| 243 |
< |
%Figure~\ref{fig:dileptonnjets} shows a slight mis-modeling of the |
| 244 |
< |
%additional jets. |
| 245 |
< |
|
| 246 |
< |
|
| 247 |
< |
\begin{figure}[hbt] |
| 248 |
< |
\begin{center} |
| 249 |
< |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met100_mueg.pdf} |
| 250 |
< |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met100_diel.pdf}% |
| 251 |
< |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met100_dimu.pdf} |
| 252 |
< |
\caption{ |
| 253 |
< |
\label{fig:dileptonnjets}%\protect |
| 254 |
< |
Comparison of the jet multiplicity distribution in data and MC for dilepton events in the \E-\M\ |
| 255 |
< |
(top), \E-\E\ (bottom left) and \M-\M\ (bottom right) channels.} |
| 256 |
< |
\end{center} |
| 226 |
> |
|
| 227 |
> |
\subsubsection{Trigger Efficiency Measurements} |
| 228 |
> |
|
| 229 |
> |
In this section we measure the efficiencies of the single lepton triggers, HLT\_IsoMu24(\_eta2p1) for muons and HLT\_Ele27\_WP80 for electrons, using a tag-and-probe |
| 230 |
> |
approach. The tag is required to pass the full offline analysis selection and have \pt\ $>$ 30 GeV, $|\eta|<2.1$, and be matched to the single |
| 231 |
> |
lepton trigger. The probe is also required to pass the full offline analysis selection and have $|\eta|<2.1$, but the \pt\ requirement is relaxed to 20 GeV |
| 232 |
> |
in order to measure the \pt\ turn-on curve. The tag-probe pair is required to have opposite-sign and an invariant mass in the range 76--106 GeV. |
| 233 |
> |
The measured trigger efficiencies are displayed in Fig.~\ref{fig:trigeff} and summarized in Table~\ref{tab:mutriggeff} (muons) and Table~\ref{tab:eltriggeff} (electrons). |
| 234 |
> |
These trigger efficiencies will be applied to the MC when used to predict data yields selected by single lepton triggers. [THESE TRIGGER EFFICIENCIES TO BE APPLIED TO MC] |
| 235 |
> |
|
| 236 |
> |
|
| 237 |
> |
\begin{figure}[!ht] |
| 238 |
> |
\begin{center} |
| 239 |
> |
\begin{tabular}{cc} |
| 240 |
> |
\includegraphics[width=0.4\textwidth]{plots/mutrig_pt_etabins.pdf} & |
| 241 |
> |
\includegraphics[width=0.4\textwidth]{plots/eltrig_pt_etabins.pdf} \\ |
| 242 |
> |
\end{tabular} |
| 243 |
> |
\caption{\label{fig:trigeff} |
| 244 |
> |
Efficiency for the single muon trigger HLT\_IsoMu24(\_eta2p1) (left) and single electron trigger HLT\_Ele27\_WP80 (right) as a function of lepton \pt, |
| 245 |
> |
for several bins in lepton $|\eta|$. |
| 246 |
> |
} |
| 247 |
> |
\end{center} |
| 248 |
|
\end{figure} |
| 249 |
|
|
| 250 |
< |
It should be noted that in the case of \ttll\ events |
| 260 |
< |
with a single reconstructed lepton, the other lepton may be |
| 261 |
< |
mis-reconstructed as a jet. For example, a hadronic tau may be |
| 262 |
< |
mis-identified as a jet (since no $\tau$ identification is used). |
| 263 |
< |
In this case only 1 additional jet from radiation may suffice for |
| 264 |
< |
a \ttll\ event to enter the signal sample. As a result, both the |
| 265 |
< |
samples with $\ttbar+1$ jet and $\ttbar+\ge2$ jets are relevant for |
| 266 |
< |
estimating the top dilepton bkg in the signal region. |
| 267 |
< |
|
| 268 |
< |
%In this section we discuss a correction to $ N_{2 lep}^{MC} $ in Equation XXX |
| 269 |
< |
%due to differences in the modelling of the jet multiplicity in data versus MC. |
| 270 |
< |
%The same correction also enters $ N_{peak}^{MC}$ in Equation XXX to the extend that the |
| 271 |
< |
%dilepton contributions to $ N_{peak}^{MC}$ gets corrected. |
| 272 |
< |
|
| 273 |
< |
%The dilepton control sample is defined by the following requirements: |
| 274 |
< |
%\begin{itemize} |
| 275 |
< |
%\item Exactly 2 selected electrons or muons with \pt $>$ 20 GeV |
| 276 |
< |
%\item \met\ $>$ 50 GeV |
| 277 |
< |
%\item $\geq1$ b-tagged jet |
| 278 |
< |
%\end{itemize} |
| 279 |
< |
% |
| 280 |
< |
%This sample is dominated by \ttll. The distribution of \njets\ for data and MC passing this selection is displayed in Fig.~\ref{fig:dilepton_njets}. |
| 281 |
< |
%We use this distribution to derive scale factors which reweight the \ttll\ MC \njets\ distribution to match the data. We define the following |
| 282 |
< |
%quantities |
| 283 |
< |
% |
| 284 |
< |
%\begin{itemize} |
| 285 |
< |
%\item $N_{2}=$ data yield minus non-dilepton \ttbar\ MC yield for \njets\ $\leq$ 2 |
| 286 |
< |
%\item $N_{3}=$ data yield minus non-dilepton \ttbar\ MC yield for \njets\ = 3 |
| 287 |
< |
%\item $N_{4}=$ data yield minus non-dilepton \ttbar\ MC yield for \njets\ $\geq$ 4 |
| 288 |
< |
%\item $M_{2}=$ dilepton \ttbar\ MC yield for \njets\ $\leq$ 2 |
| 289 |
< |
%\item $M_{3}=$ dilepton \ttbar\ MC yield for \njets\ = 3 |
| 290 |
< |
%\item $M_{4}=$ dilepton \ttbar\ MC yield for \njets\ $\geq$ 4 |
| 291 |
< |
%\end{itemize} |
| 292 |
< |
% |
| 293 |
< |
%We use these yields to define 3 scale factors, which quantify the data/MC ratio in the 3 \njets\ bins: |
| 294 |
< |
% |
| 295 |
< |
%\begin{itemize} |
| 296 |
< |
%\item $SF_2 = N_2 / M_2$ |
| 297 |
< |
%\item $SF_3 = N_3 / M_3$ |
| 298 |
< |
%\item $SF_4 = N_4 / M_4$ |
| 299 |
< |
%\end{itemize} |
| 300 |
< |
% |
| 301 |
< |
%And finally, we define the scale factors $K_3$ and $K_4$: |
| 302 |
< |
% |
| 303 |
< |
%\begin{itemize} |
| 304 |
< |
%\item $K_3 = SF_3 / SF_2$ |
| 305 |
< |
%\item $K_4 = SF_4 / SF_2$ |
| 306 |
< |
%\end{itemize} |
| 307 |
< |
% |
| 308 |
< |
%The scale factor $K_3$ is extracted from dilepton \ttbar\ events with \njets = 3, which have exactly 1 ISR jet. |
| 309 |
< |
%The scale factor $K_4$ is extracted from dilepton \ttbar\ events with \njets $\geq$ 4, which have at least 2 ISR jets. |
| 310 |
< |
%Both of these scale factors are needed since dilepton \ttbar\ events which fall in our signal region (including |
| 311 |
< |
%the \njets $\geq$ 4 requirement) may require exactly 1 ISR jet, in the case that the second lepton is reconstructed |
| 312 |
< |
%as a jet, or at least 2 ISR jets, in the case that the second lepton is not reconstructed as a jet. These scale |
| 313 |
< |
%factors are applied to the dilepton \ttbar\ MC only. For a given MC event, we determine whether to use $K_3$ or $K_4$ |
| 314 |
< |
%by counting the number of reconstructed jets in the event ($N_{\rm{jets}}^R$) , and subtracting off any reconstructed |
| 315 |
< |
%jet which is matched to the second lepton at generator level ($N_{\rm{jets}}^\ell$); $N_{\rm{jets}}^{\rm{cor}} = N_{\rm{jets}}^R - N_{\rm{jets}}^\ell$. |
| 316 |
< |
%For events with $N_{\rm{jets}}^{\rm{cor}}=3$ the factor $K_3$ is applied, while for events with $N_{\rm{jets}}^{\rm{cor}}\geq4$ the factor $K_4$ is applied. |
| 317 |
< |
%For all subsequent steps, the scale factors $K_3$ and $K_4$ have been |
| 318 |
< |
%applied to the \ttll\ MC. |
| 319 |
< |
|
| 320 |
< |
|
| 321 |
< |
Table~\ref{tab:njetskfactors} shows scale factors to correct the |
| 322 |
< |
fraction of events with additional jets in MC to the observed fraction |
| 323 |
< |
in data. These are applied to the \ttll\ MC throughout the entire analysis, i.e. whenever \ttll\ MC is used to estimate or subtract |
| 324 |
< |
a yield or distribution. |
| 325 |
< |
% |
| 326 |
< |
In order to do so, it is first necessary to count the number of |
| 327 |
< |
additional jets from radiation and exclude leptons mis-identified as |
| 328 |
< |
jets. A jet is considered a mis-identified lepton if it is matched to a |
| 329 |
< |
generator-level second lepton with sufficient energy to satisfy the jet |
| 330 |
< |
\pt\ requirement ($\pt>30~\GeV$). |
| 250 |
> |
\clearpage |
| 251 |
|
|
| 252 |
< |
\begin{table}[!ht] |
| 252 |
> |
\begin{table}[htb] |
| 253 |
|
\begin{center} |
| 254 |
< |
\begin{tabular}{l|c} |
| 254 |
> |
\footnotesize |
| 255 |
> |
\caption{\label{tab:mutriggeff} |
| 256 |
> |
Summary of the single muon trigger efficiency HLT\_IsoMu24(\_eta2p1). Uncertainties are statistical.} |
| 257 |
> |
\begin{tabular}{c|c|c|c} |
| 258 |
> |
|
| 259 |
> |
% Selection : (((((((((abs(tagAndProbeMass-91)<15)&&(qProbe*qTag<0))&&((eventSelection&2)==2))&&(HLT_IsoMu24_tag > 0))&&(tag->pt()>30.0))&&(abs(tag->eta())<2.1))&&(probe->pt()>20))&&(abs(probe->eta())<2.1))&&((leptonSelection&65536)==65536))&&((leptonSelection&131072)==131072) |
| 260 |
> |
% Probe trigger : HLT_IsoMu24_probe > 0 |
| 261 |
> |
% Total data yield : 5161723 |
| 262 |
> |
|
| 263 |
|
\hline |
| 336 |
– |
Jet Multiplicity Sample |
| 337 |
– |
& Data/MC Scale Factor \\ |
| 264 |
|
\hline |
| 265 |
+ |
\pt\ range [GeV] & $|\eta|<0.8$ & $0.8<|\eta|<1.5$ & $1.5<|\eta|<2.1$ \\ |
| 266 |
+ |
\hline |
| 267 |
+ |
20 - 22 & 0.00 $\pm$ 0.000 & 0.00 $\pm$ 0.000 & 0.00 $\pm$ 0.000 \\ |
| 268 |
+ |
22 - 24 & 0.03 $\pm$ 0.001 & 0.05 $\pm$ 0.001 & 0.11 $\pm$ 0.002 \\ |
| 269 |
+ |
24 - 26 & 0.87 $\pm$ 0.002 & 0.78 $\pm$ 0.002 & 0.76 $\pm$ 0.003 \\ |
| 270 |
+ |
26 - 28 & 0.90 $\pm$ 0.001 & 0.81 $\pm$ 0.002 & 0.78 $\pm$ 0.002 \\ |
| 271 |
+ |
28 - 30 & 0.91 $\pm$ 0.001 & 0.81 $\pm$ 0.002 & 0.79 $\pm$ 0.002 \\ |
| 272 |
+ |
30 - 32 & 0.91 $\pm$ 0.001 & 0.81 $\pm$ 0.001 & 0.80 $\pm$ 0.002 \\ |
| 273 |
+ |
32 - 34 & 0.92 $\pm$ 0.001 & 0.82 $\pm$ 0.001 & 0.80 $\pm$ 0.002 \\ |
| 274 |
+ |
34 - 36 & 0.93 $\pm$ 0.001 & 0.82 $\pm$ 0.001 & 0.81 $\pm$ 0.001 \\ |
| 275 |
+ |
36 - 38 & 0.93 $\pm$ 0.001 & 0.83 $\pm$ 0.001 & 0.81 $\pm$ 0.001 \\ |
| 276 |
+ |
38 - 40 & 0.93 $\pm$ 0.001 & 0.83 $\pm$ 0.001 & 0.82 $\pm$ 0.001 \\ |
| 277 |
+ |
40 - 50 & 0.94 $\pm$ 0.000 & 0.84 $\pm$ 0.000 & 0.82 $\pm$ 0.001 \\ |
| 278 |
+ |
50 - 60 & 0.95 $\pm$ 0.000 & 0.84 $\pm$ 0.001 & 0.83 $\pm$ 0.001 \\ |
| 279 |
+ |
60 - 80 & 0.95 $\pm$ 0.001 & 0.84 $\pm$ 0.002 & 0.83 $\pm$ 0.002 \\ |
| 280 |
+ |
80 - 100 & 0.94 $\pm$ 0.002 & 0.84 $\pm$ 0.004 & 0.83 $\pm$ 0.006 \\ |
| 281 |
+ |
100 - 150 & 0.94 $\pm$ 0.003 & 0.84 $\pm$ 0.005 & 0.83 $\pm$ 0.008 \\ |
| 282 |
+ |
150 - 200 & 0.93 $\pm$ 0.006 & 0.84 $\pm$ 0.011 & 0.82 $\pm$ 0.018 \\ |
| 283 |
+ |
$>$200 & 0.92 $\pm$ 0.010 & 0.82 $\pm$ 0.017 & 0.82 $\pm$ 0.031 \\ |
| 284 |
|
\hline |
| 340 |
– |
N jets $= 3$ (sensitive to $\ttbar+1$ extra jet from radiation) & $0.97 \pm 0.03$\\ |
| 341 |
– |
N jets $\ge4$ (sensitive to $\ttbar+\ge2$ extra jets from radiation) & $0.91 \pm 0.04$\\ |
| 285 |
|
\hline |
| 286 |
+ |
|
| 287 |
|
\end{tabular} |
| 344 |
– |
\caption{Data/MC scale factors used to account for differences in the |
| 345 |
– |
fraction of events with additional hard jets from radiation in |
| 346 |
– |
\ttll\ events. \label{tab:njetskfactors}} |
| 288 |
|
\end{center} |
| 289 |
|
\end{table} |
| 290 |
|
|
| 291 |
+ |
\begin{table}[htb] |
| 292 |
+ |
\begin{center} |
| 293 |
+ |
\footnotesize |
| 294 |
+ |
\caption{\label{tab:eltriggeff} |
| 295 |
+ |
Summary of the single electron trigger efficiency HLT\_Ele27\_WP80. Uncertainties are statistical.} |
| 296 |
+ |
\begin{tabular}{c|c|c} |
| 297 |
+ |
|
| 298 |
+ |
% Selection : (((((((((abs(tagAndProbeMass-91)<15)&&(qProbe*qTag<0))&&((eventSelection&1)==1))&&(HLT_Ele27_WP80_tag > 0))&&(tag->pt()>30.0))&&(abs(tag->eta())<2.1))&&(probe->pt()>20))&&(abs(probe->eta())<2.1))&&((leptonSelection&8)==8))&&((leptonSelection&16)==16) |
| 299 |
+ |
% Probe trigger : HLT_Ele27_WP80_probe > 0 |
| 300 |
+ |
% Total data yield : 3405966 |
| 301 |
|
|
| 302 |
+ |
\hline |
| 303 |
+ |
\hline |
| 304 |
+ |
\pt\ range [GeV] & $|\eta|<1.5$ & $1.5<|\eta|<2.1$ \\ |
| 305 |
+ |
\hline |
| 306 |
+ |
20 - 22 & 0.00 $\pm$ 0.000 & 0.00 $\pm$ 0.000 \\ |
| 307 |
+ |
22 - 24 & 0.00 $\pm$ 0.000 & 0.00 $\pm$ 0.001 \\ |
| 308 |
+ |
24 - 26 & 0.00 $\pm$ 0.000 & 0.02 $\pm$ 0.001 \\ |
| 309 |
+ |
26 - 28 & 0.08 $\pm$ 0.001 & 0.18 $\pm$ 0.003 \\ |
| 310 |
+ |
28 - 30 & 0.61 $\pm$ 0.002 & 0.50 $\pm$ 0.004 \\ |
| 311 |
+ |
30 - 32 & 0.86 $\pm$ 0.001 & 0.63 $\pm$ 0.003 \\ |
| 312 |
+ |
32 - 34 & 0.88 $\pm$ 0.001 & 0.68 $\pm$ 0.003 \\ |
| 313 |
+ |
34 - 36 & 0.90 $\pm$ 0.001 & 0.70 $\pm$ 0.002 \\ |
| 314 |
+ |
36 - 38 & 0.91 $\pm$ 0.001 & 0.72 $\pm$ 0.002 \\ |
| 315 |
+ |
38 - 40 & 0.92 $\pm$ 0.001 & 0.74 $\pm$ 0.002 \\ |
| 316 |
+ |
40 - 50 & 0.94 $\pm$ 0.000 & 0.76 $\pm$ 0.001 \\ |
| 317 |
+ |
50 - 60 & 0.95 $\pm$ 0.000 & 0.77 $\pm$ 0.002 \\ |
| 318 |
+ |
60 - 80 & 0.96 $\pm$ 0.001 & 0.78 $\pm$ 0.003 \\ |
| 319 |
+ |
80 - 100 & 0.96 $\pm$ 0.002 & 0.80 $\pm$ 0.008 \\ |
| 320 |
+ |
100 - 150 & 0.96 $\pm$ 0.002 & 0.79 $\pm$ 0.010 \\ |
| 321 |
+ |
150 - 200 & 0.97 $\pm$ 0.004 & 0.76 $\pm$ 0.026 \\ |
| 322 |
+ |
$>$200 & 0.97 $\pm$ 0.005 & 0.81 $\pm$ 0.038 \\ |
| 323 |
+ |
\hline |
| 324 |
+ |
\hline |
| 325 |
|
|
| 326 |
< |
\subsubsection{Efficiency Corrections} |
| 327 |
< |
|
| 328 |
< |
[TO BE UDPATED WITH T\&P STUDIES ON ID, TRIGGER ETC] |
| 326 |
> |
\end{tabular} |
| 327 |
> |
\end{center} |
| 328 |
> |
\end{table} |
| 329 |
|
|
| 330 |
+ |
\clearpage |
