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 additional 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} |
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} |
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 demonstrate that there is no statistically significant dependence of $K_3$ and $K_4$ on the \met\ cut. |
137 |
> |
Table~\ref{tab:njetskfactors} also shows the values of $K_3$ and $K_4$ for different values of the \met\ cut in the control sample definition. |
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 |
|
|
142 |
< |
The factors $K_3$ and $K_4$ (derived with the 50 GeV \met\ cut) are applied to the \ttll\ MC throughout the |
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 |
156 |
|
|
157 |
|
\begin{table}[!ht] |
158 |
|
\begin{center} |
159 |
< |
\begin{tabular}{l|c|c|c} |
160 |
< |
\cline{2-4} |
161 |
< |
& \multicolumn{3}{c}{ \met\ cut for data/MC scale factors} \\ |
159 |
> |
{\footnotesize |
160 |
> |
\begin{tabular}{l|c|c|c|c|c|c} |
161 |
> |
\cline{2-7} |
162 |
> |
& \multicolumn{6}{c}{ \met\ cut for data/MC scale factors} \\ |
163 |
|
\hline |
164 |
< |
Jet Multiplicity Sample & 50 GeV & 100 GeV & 150 GeV \\ |
164 |
> |
Sample & 50 GeV & 100 GeV & 150 GeV & 200 GeV & 250 GeV & 300 GeV \\ |
165 |
|
\hline |
166 |
|
\hline |
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 |
< |
& $K_4 = 0.94 \pm 0.02$ & $K_4 = 0.93 \pm 0.04$ & $K_4 = 1.00 \pm 0.08$ \\ |
167 |
> |
N jets $= 3$ |
168 |
> |
& $K_3 = 0.98 \pm 0.02$ & $K_3 = 1.01 \pm 0.03$ & $K_3 = 1.00 \pm 0.08$ & $K_3 = 1.03 \pm 0.18$ & $K_3 = 1.29 \pm 0.51$ & $K_3 = 1.58 \pm 1.23$ \\ |
169 |
> |
N jets $\ge4$ |
170 |
> |
& $K_4 = 0.94 \pm 0.02$ & $K_4 = 0.93 \pm 0.04$ & $K_4 = 1.00 \pm 0.08$ & $K_4 = 1.07 \pm 0.18$ & $K_4 = 1.30 \pm 0.48$ & $K_4 = 1.65 \pm 1.19$ \\ |
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. The values derived with the 50 GeV \met\ cut are applied |
175 |
> |
\ttll\ events. |
176 |
> |
The N jets $= 3$ scale factor, $K_3$, is sensitive to $\ttbar+1$ extra jet from radiation, while |
177 |
> |
the N jets $\ge4$ scale factor, $K_4$, is sensitive to $\ttbar+\ge2$ extra jets from radiation. |
178 |
> |
The values derived with the 100 GeV \met\ cut are applied |
179 |
|
to the \ttll\ MC throughout the analysis. \label{tab:njetskfactors}} |
180 |
|
\end{center} |
181 |
|
\end{table} |
188 |
|
MC in CR4} |
189 |
|
\label{sec:CR4-valid} |
190 |
|
|
181 |
– |
[THE TEXT IN THIS SUBSECTION IS ESSENTIALLY COMPLETE] |
182 |
– |
|
191 |
|
As mentioned above, $t\bar{t} \to $ dileptons where one of the leptons |
192 |
|
is somehow lost constitutes the main background. |
193 |
|
The object of this test is to validate the $M_T$ distribution of this |
199 |
|
|
200 |
|
The $t\bar{t}$ MC is corrected using the $K_3$ and $K_4$ factors |
201 |
|
from Section~\ref{sec:jetmultiplicity}. It is also normalized to the |
202 |
< |
total data yield separately for the \met\ requirements of signal |
203 |
< |
regions A, B, C, and D. These normalization factors are listed |
202 |
> |
total data yield separately for the \met\ requirements of the various signal |
203 |
> |
regions. These normalization factors are listed |
204 |
|
in Table~\ref{tab:cr4mtsf} and are close to unity. |
205 |
|
|
206 |
|
The underlying \met\ and $M_T$ distributions are shown in |
207 |
|
Figures~\ref{fig:cr4met} and~\ref{fig:cr4mtrest}. The data-MC agreement |
208 |
|
is quite good. Quantitatively, this is also shown in Table~\ref{tab:cr4yields}. |
209 |
< |
|
209 |
> |
This is a {\bf very} important Table. It shows that for well |
210 |
> |
identified \ttdl\ , the MC can predict the $M_T$ tail. Since the |
211 |
> |
main background is also \ttdl\ except with one ``missed'' lepton, |
212 |
> |
this is a key test. |
213 |
|
|
214 |
|
\begin{table}[!h] |
215 |
|
\begin{center} |