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Revision 1.6 by vimartin, Wed Oct 10 04:03:33 2012 UTC vs.
Revision 1.13 by vimartin, Fri Oct 12 20:09:46 2012 UTC

# Line 4 | Line 4
4   \subsubsection{Modeling of Additional Hard Jets in Top Dilepton Events}
5   \label{sec:jetmultiplicity}
6  
7 [THIS SUBSUBSECTION IS DONE...MODULO THE LATEST PLOTS AND THE LATEST
8 NUMBERS IN THE TABLE]
9
7   Dilepton \ttbar\ events have 2 jets from the top decays, so additional
8   jets from radiation or higher order contributions are required to
9 < enter the signal sample. The modeling of addtional jets in \ttbar\
9 > enter the signal sample.   In this Section we develop an algorithm
10 > to be applied to all \ttll\ MC samples to ensure that the distribution
11 > of extra jets is properly modelled.
12 >
13 >
14 > The modeling of additional jets in \ttbar\
15   events is checked in a \ttll\ control sample,
16   selected by requiring
17   \begin{itemize}
18   \item exactly 2 selected electrons or muons with \pt $>$ 20 GeV
19 < \item \met\ $>$ 100 GeV
19 > \item \met\ $>$ 50 GeV
20   \item $\geq1$ b-tagged jet
21   \item Z-veto ($|m_{\ell\ell} - 91| > 15$ GeV)
22   \end{itemize}
# Line 35 | Line 37 | $\ttbar+\ge2$ jet events.
37  
38   \begin{figure}[hbt]
39    \begin{center}
40 <        \includegraphics[width=0.5\linewidth]{plots/njets_all_met100_mueg.pdf}
41 <        \includegraphics[width=0.5\linewidth]{plots/njets_all_met100_diel.pdf}%
42 <        \includegraphics[width=0.5\linewidth]{plots/njets_all_met100_dimu.pdf}
40 >        \includegraphics[width=0.5\linewidth]{plots/njets_all_met50_mueg.pdf}
41 >        \includegraphics[width=0.5\linewidth]{plots/njets_all_met50_diel.pdf}%
42 >        \includegraphics[width=0.5\linewidth]{plots/njets_all_met50_dimu.pdf}
43          \caption{
44            \label{fig:dileptonnjets}%\protect
45            Comparison of the jet multiplicity distribution in data and MC for dilepton events in the \E-\M\
# Line 113 | Line 115 | fraction of events with additional jets
115   in data.   These scale factors are calculated from Fig.~\ref{fig:dileptonnjets}
116   as follows:
117   \begin{itemize}
118 < \item $N_{2}=$ data yield minus non-dilepton \ttbar\ MC yield for \njets\ $\leq$ 2
118 > \item $N_{2}=$ data yield minus non-dilepton \ttbar\ MC yield for
119 >  \njets\ =1 or 2.
120   \item $N_{3}=$ data yield minus non-dilepton \ttbar\ MC yield for \njets\ = 3
121   \item $N_{4}=$ data yield minus non-dilepton \ttbar\ MC yield for \njets\ $\geq$ 4
122 < \item $M_{2}=$ dilepton \ttbar\ MC yield for \njets\ $\leq$ 2
122 > \item $M_{2}=$ dilepton \ttbar\ MC yield for \njets\ = 1 or 2
123   \item $M_{3}=$ dilepton \ttbar\ MC yield for \njets\ = 3
124   \item $M_{4}=$ dilepton \ttbar\ MC yield for \njets\ $\geq$ 4
125   \end{itemize}
# Line 131 | Line 134 | as follows:
134   \noindent This insures that $K_3 M_3/(M_2 + K_3 M_3 + K_4 M_4) = N_3 /
135   (N_2+N_3+N_4)$ and similarly for the $\geq 4$ jet bin.
136  
137 + Table~\ref{tab:njetskfactors} also shows the values of $K_3$ and $K_4$ when the \met\ cut in the control sample definition is changed from 50 GeV to 100 GeV and 150 GeV.
138 + % These values of $K_3$ and $K_4$ are not used in the analysis, but
139 + This demonstrates that there is no statistically significant dependence of $K_3$ and $K_4$ on the \met\ cut.
140  
141 < The factors $K_3$ and $K_4$ are applied to the \ttll\ MC throughout the
141 >
142 > The factors $K_3$ and $K_4$ (derived with the 100 GeV \met\ cut) are applied to the \ttll\ MC throughout the
143   entire analysis, i.e.
144   whenever \ttll\ MC is used to estimate or subtract
145 < a yield or distribution.
145 > a yield or distribution.   To be explicit, whenever Powheg is used,
146 > the Powheg $K_3$ and $K_4$ are used; whenever default MadGraph is
147 > used, the MadGraph $K_3$ and $K_4$ are used, etc.
148   %
149   In order to do so, it is first necessary to count the number of
150   additional jets from radiation and exclude leptons mis-identified as
# Line 147 | Line 156 | while those that only need one radiation
156  
157   \begin{table}[!ht]
158   \begin{center}
159 < \begin{tabular}{l|c}
159 > {\footnotesize
160 > \begin{tabular}{l|c|c|c}
161 > \cline{2-4}
162 >                        & \multicolumn{3}{c}{ \met\ cut for data/MC scale factors} \\
163   \hline
164 <            Jet Multiplicity Sample
153 <            &                Data/MC Scale Factor \\
164 > Jet Multiplicity Sample &  50 GeV & 100 GeV & 150 GeV  \\
165   \hline
166   \hline
167 < N jets $= 3$ (sensitive to $\ttbar+1$ extra jet from radiation)   &
168 < $K_3 = 1.01 \pm 0.03$\\
167 > N jets $= 3$ (sensitive to $\ttbar+1$ extra jet from radiation)
168 > & $K_3 = 0.98 \pm 0.02$ & $K_3 = 1.01 \pm 0.03$ & $K_3 = 1.00 \pm 0.08$ \\
169   N jets $\ge4$ (sensitive to $\ttbar+\ge2$ extra jets from radiation)
170 < &       $K_4 = 0.93 \pm 0.04$\\
170 > & $K_4 = 0.94 \pm 0.02$ & $K_4 = 0.93 \pm 0.04$ & $K_4 = 1.00 \pm 0.08$ \\
171   \hline
172 < \end{tabular}
172 > \end{tabular}}
173   \caption{Data/MC scale factors used to account for differences in the
174    fraction of events with additional hard jets from radiation in
175 <  \ttll\ events. \label{tab:njetskfactors}}
175 >  \ttll\ events. The values derived with the 100 GeV \met\ cut are applied
176 >  to the \ttll\ MC throughout the analysis. \label{tab:njetskfactors}}
177   \end{center}
178   \end{table}
179  
# Line 173 | Line 185 | N jets $\ge4$ (sensitive to $\ttbar+\ge2
185    MC in CR4}
186   \label{sec:CR4-valid}
187  
176 [THE TEXT IN THIS SUBSECTION IS ESSENTIALLY COMPLETE]
177
188   As mentioned above, $t\bar{t} \to $ dileptons where one of the leptons
189   is somehow lost constitutes the main background.
190   The object of this test is to validate the $M_T$ distribution of this
# Line 186 | Line 196 | leading muons.
196  
197   The $t\bar{t}$ MC is corrected using the $K_3$ and $K_4$ factors
198   from Section~\ref{sec:jetmultiplicity}.  It is also normalized to the
199 < total data yield separately for the \met\ requirements of signal
200 < regions A, B, C, and D.  These normalization factors are listed
199 > total data yield separately for the \met\ requirements of the various signal
200 > regions.  These normalization factors are listed
201   in Table~\ref{tab:cr4mtsf} and are close to unity.
202  
203   The underlying \met\ and $M_T$ distributions are shown in
204   Figures~\ref{fig:cr4met} and~\ref{fig:cr4mtrest}.  The data-MC agreement
205   is quite good.  Quantitatively, this is also shown in Table~\ref{tab:cr4yields}.
206 <
206 > This is a {\bf very} important Table.  It shows that for well
207 > identified \ttdl\ , the MC can predict the $M_T$ tail.  Since the
208 > main background is also \ttdl\ except with one ``missed'' lepton,
209 > this is a key test.
210  
211   \begin{table}[!h]
212   \begin{center}
# Line 227 | Line 240 | Sample              & CR4PRESEL & CR4A &
240   CR4D & CR4E & CR4F\\
241   \hline
242   \hline
243 < $\mu$ MC                  & $256 \pm 5$ & $152 \pm 4$ & $91 \pm 3$ & $26 \pm 2$ & $6 \pm 1$ & $4 \pm 1$ & $2 \pm 1$ \\
243 > $\mu$ MC                  & $256 \pm 14$ & $152 \pm 11$ & $91 \pm 9$ & $26 \pm 5$ & $6 \pm 2$ & $4 \pm 2$ & $2 \pm 1$ \\
244   $\mu$ Data                & $251$ & $156$ & $98$ & $27$ & $8$ & $6$ & $4$ \\
245   \hline
246 < $\mu$ Data/MC SF          & $0.98 \pm 0.07$ & $1.02 \pm 0.09$ & $1.08 \pm 0.12$ & $1.04 \pm 0.21$ & $1.29 \pm 0.48$ & $1.35 \pm 0.59$ & $2.10 \pm 1.28$ \\
246 > $\mu$ Data/MC SF          & $0.98 \pm 0.08$ & $1.02 \pm 0.11$ & $1.08 \pm 0.16$ & $1.04 \pm 0.28$ & $1.29 \pm 0.65$ & $1.35 \pm 0.80$ & $2.10 \pm 1.72$ \\
247   \hline
248   \hline
249 < e MC              & $227 \pm 5$ & $139 \pm 4$ & $73 \pm 3$ & $21 \pm 1$ & $5 \pm 1$ & $2 \pm 0$ & $1 \pm 0$ \\
249 > e MC              & $227 \pm 13$ & $139 \pm 11$ & $73 \pm 8$ & $21 \pm 4$ & $5 \pm 2$ & $2 \pm 1$ & $1 \pm 1$ \\
250   e Data            & $219$ & $136$ & $72$ & $19$ & $2$ & $1$ & $1$ \\
251   \hline
252 < e Data/MC SF      & $0.96 \pm 0.07$ & $0.98 \pm 0.09$ & $0.99 \pm 0.12$ & $0.92 \pm 0.22$ & $0.41 \pm 0.29$ & $0.53 \pm 0.54$ & $0.76 \pm 0.78$ \\
252 > e Data/MC SF      & $0.96 \pm 0.09$ & $0.98 \pm 0.11$ & $0.99 \pm 0.16$ & $0.92 \pm 0.29$ & $0.41 \pm 0.33$ & $0.53 \pm 0.62$ & $0.76 \pm 0.96$ \\
253 > \hline
254 > \hline
255 > $\mu$+e MC                & $483 \pm 19$ & $291 \pm 16$ & $164 \pm 13$ & $47 \pm 7$ & $11 \pm 3$ & $6 \pm 2$ & $3 \pm 2$ \\
256 > $\mu$+e Data              & $470$ & $292$ & $170$ & $46$ & $10$ & $7$ & $5$ \\
257 > \hline
258 > $\mu$+e Data/MC SF                & $0.97 \pm 0.06$ & $1.00 \pm 0.08$ & $1.04 \pm 0.11$ & $0.99 \pm 0.20$ & $0.90 \pm 0.37$ & $1.11 \pm 0.57$ & $1.55 \pm 1.04$ \\
259   \hline
260   \end{tabular}}
261   \caption{ Yields in \mt\ tail comparing the MC prediction (after

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