| 1 |
|
%\section{Systematics Uncertainties on the Background Prediction} |
| 2 |
|
%\label{sec:systematics} |
| 3 |
|
|
| 4 |
– |
[DESCRIBE HERE ONE BY ONE THE UNCERTAINTIES THAT ARE PRESENT IN THE SPREADSHHET |
| 5 |
– |
FROM WHICH WE CALCULATE THE TOTAL UNCERTAINTY. WE KNOW HOW TO DO THIS |
| 6 |
– |
AND |
| 7 |
– |
WE HAVE THE TECHNOLOGY FROM THE 7 TEV ANALYSIS TO PROPAGATE ALL |
| 8 |
– |
UNCERTAINTIES |
| 9 |
– |
CORRECTLY THROUGH. WE WILL DO IT ONCE WE HAVE SETTLED ON THE |
| 10 |
– |
INDIVIDUAL PIECES WHICH ARE STILL IN FLUX] |
| 11 |
– |
|
| 4 |
|
In this Section we discuss the systematic uncertainty on the BG |
| 5 |
|
prediction. This prediction is assembled from the event |
| 6 |
|
counts in the peak region of the transverse mass distribution as |
| 14 |
|
region, |
| 15 |
|
for electrons and muons separately. |
| 16 |
|
|
| 17 |
< |
The choice to normalizing to the peak region of $M_T$ has the |
| 17 |
> |
The choice to normalize to the peak region of $M_T$ has the |
| 18 |
|
advantage that some uncertainties, e.g., luminosity, cancel. |
| 19 |
|
It does however introduce complications because it couples |
| 20 |
|
some of the uncertainties in non-trivial ways. For example, |
| 25 |
|
the $t\bar{t} \to$ dilepton BG estimate because it changes the |
| 26 |
|
$t\bar{t}$ normalization to the peak region (because some of the |
| 27 |
|
events in the peak region are from rare processes). These effects |
| 28 |
< |
are carefully accounted for. The contribution to the overall |
| 29 |
< |
uncertainty from each BG source is tabulated in |
| 28 |
> |
are carefully accounted for. The contribution to the overall |
| 29 |
> |
uncertainty from each background source is tabulated in |
| 30 |
|
Section~\ref{sec:bgunc-bottomline}. |
| 31 |
< |
First, however, we discuss the uncertainties one-by-one and we comment |
| 31 |
> |
Here we discuss the uncertainties one-by-one and comment |
| 32 |
|
on their impact on the overall result, at least to first order. |
| 33 |
|
Second order effects, such as the one described, are also included. |
| 34 |
|
|
| 35 |
|
\subsection{Statistical uncertainties on the event counts in the $M_T$ |
| 36 |
|
peak regions} |
| 37 |
< |
These vary between XX and XX \%, depending on the signal region |
| 37 |
> |
These vary between 2\% and 20\%, depending on the signal region |
| 38 |
|
(different |
| 39 |
|
signal regions have different \met\ requirements, thus they also have |
| 40 |
< |
different $M_T$ regions used as control. |
| 40 |
> |
different $M_T$ regions used as control). |
| 41 |
|
Since |
| 42 |
< |
the major BG, eg, $t\bar{t}$ are normalized to the peak regions, this |
| 42 |
> |
the major backgrounds, eg, $t\bar{t}$ are normalized to the peak regions, this |
| 43 |
|
fractional uncertainty is pretty much carried through all the way to |
| 44 |
|
the end. There is also an uncertainty from the finite MC event counts |
| 45 |
|
in the $M_T$ peak regions. This is also included, but it is smaller. |
| 46 |
|
|
| 47 |
+ |
Normalizing to the $M_T$ peak has the distinct advantages that |
| 48 |
+ |
uncertainties on luminosity, cross-sections, trigger efficiency, |
| 49 |
+ |
lepton ID, cancel out. |
| 50 |
+ |
For the low statistics regions with high \met\ requirements, the |
| 51 |
+ |
price to pay in terms of event count is that statistical uncertainties start |
| 52 |
+ |
to become significant. In the future we may consider a different |
| 53 |
+ |
normalization startegy in the low statistics regions. |
| 54 |
+ |
|
| 55 |
|
\subsection{Uncertainty from the choice of $M_T$ peak region} |
| 56 |
– |
IN 7 TEV DATA WE HAD SOME SHAPE DIFFERENCES IN THE MTRANS REGION THAT |
| 57 |
– |
LED US TO CONSERVATIVELY INCLUDE THIS UNCERTAINTY. WE NEED TO LOOK |
| 58 |
– |
INTO THIS AGAIN |
| 56 |
|
|
| 57 |
< |
\subsection{Uncertainty on the Wjets cross-section and the rare MC cross-sections} |
| 57 |
> |
This choice affects the scale factors of Table~\ref{tab:mtpeaksf}. |
| 58 |
> |
If the $M_T$ peak region is not well modelled, this would introduce an |
| 59 |
> |
uncertainty. |
| 60 |
> |
|
| 61 |
> |
We have tested this possibility by recalculating the post-veto scale factors for a different |
| 62 |
> |
choice |
| 63 |
> |
of $M_T$ peak region ($40 < M_T < 100$ GeV instead of the default |
| 64 |
> |
$50 < M_T < 80$ GeV). This is shown in Table~\ref{tab:mtpeaksf2}. |
| 65 |
> |
The two results for the scale factors are very compatible. |
| 66 |
> |
We do not take any systematic uncertainty for this possible effect. |
| 67 |
> |
|
| 68 |
> |
\begin{table}[!h] |
| 69 |
> |
\begin{center} |
| 70 |
> |
{\footnotesize |
| 71 |
> |
\begin{tabular}{l||c|c|c|c|c|c|c} |
| 72 |
> |
\hline |
| 73 |
> |
Sample & SRA & SRB & SRC & SRD & SRE & SRF & SRG\\ |
| 74 |
> |
\hline |
| 75 |
> |
\hline |
| 76 |
> |
\multicolumn{8}{c}{$50 \leq \mt \leq 80$} \\ |
| 77 |
> |
\hline |
| 78 |
> |
$\mu$ pre-veto \mt-SF & $1.02 \pm 0.02$ & $0.95 \pm 0.03$ & $0.90 \pm 0.05$ & $0.98 \pm 0.08$ & $0.97 \pm 0.13$ & $0.85 \pm 0.18$ & $0.92 \pm 0.31$ \\ |
| 79 |
> |
$\mu$ post-veto \mt-SF & $1.00 \pm 0.02$ & $0.95 \pm 0.03$ & $0.91 \pm 0.05$ & $1.00 \pm 0.09$ & $0.99 \pm 0.13$ & $0.85 \pm 0.18$ & $0.96 \pm 0.31$ \\ |
| 80 |
> |
\hline |
| 81 |
> |
$\mu$ veto \mt-SF & $0.98 \pm 0.01$ & $0.99 \pm 0.01$ & $1.01 \pm 0.02$ & $1.02 \pm 0.04$ & $1.02 \pm 0.06$ & $1.00 \pm 0.09$ & $1.04 \pm 0.11$ \\ |
| 82 |
> |
\hline |
| 83 |
> |
\hline |
| 84 |
> |
e pre-veto \mt-SF & $0.95 \pm 0.02$ & $0.95 \pm 0.03$ & $0.94 \pm 0.06$ & $0.85 \pm 0.09$ & $0.84 \pm 0.13$ & $1.05 \pm 0.23$ & $1.04 \pm 0.33$ \\ |
| 85 |
> |
e post-veto \mt-SF & $0.92 \pm 0.02$ & $0.91 \pm 0.03$ & $0.91 \pm 0.06$ & $0.74 \pm 0.08$ & $0.75 \pm 0.13$ & $0.91 \pm 0.22$ & $1.01 \pm 0.33$ \\ |
| 86 |
> |
\hline |
| 87 |
> |
e veto \mt-SF & $0.97 \pm 0.01$ & $0.96 \pm 0.02$ & $0.97 \pm 0.03$ & $0.87 \pm 0.05$ & $0.89 \pm 0.08$ & $0.86 \pm 0.11$ & $0.97 \pm 0.14$ \\ |
| 88 |
> |
\hline |
| 89 |
> |
\hline |
| 90 |
> |
\multicolumn{8}{c}{$40 \leq \mt \leq 100$} \\ |
| 91 |
> |
\hline |
| 92 |
> |
$\mu$ pre-veto \mt-SF & $1.02 \pm 0.01$ & $0.97 \pm 0.02$ & $0.91 \pm 0.05$ & $0.95 \pm 0.06$ & $0.97 \pm 0.10$ & $0.80 \pm 0.14$ & $0.74 \pm 0.22$ \\ |
| 93 |
> |
$\mu$ post-veto \mt-SF & $1.00 \pm 0.01$ & $0.96 \pm 0.02$ & $0.90 \pm 0.04$ & $0.98 \pm 0.07$ & $1.00 \pm 0.11$ & $0.80 \pm 0.15$ & $0.81 \pm 0.24$ \\ |
| 94 |
> |
\hline |
| 95 |
> |
$\mu$ veto \mt-SF & $0.98 \pm 0.01$ & $0.99 \pm 0.01$ & $0.99 \pm 0.02$ & $1.03 \pm 0.03$ & $1.03 \pm 0.05$ & $1.01 \pm 0.08$ & $1.09 \pm 0.09$ \\ |
| 96 |
> |
\hline |
| 97 |
> |
\hline |
| 98 |
> |
e pre-veto \mt-SF & $0.97 \pm 0.01$ & $0.93 \pm 0.02$ & $0.94 \pm 0.04$ & $0.81 \pm 0.06$ & $0.86 \pm 0.10$ & $0.95 \pm 0.17$ & $1.06 \pm 0.26$ \\ |
| 99 |
> |
e post-veto \mt-SF & $0.94 \pm 0.01$ & $0.91 \pm 0.02$ & $0.91 \pm 0.04$ & $0.71 \pm 0.06$ & $0.82 \pm 0.10$ & $0.93 \pm 0.17$ & $1.09 \pm 0.27$ \\ |
| 100 |
> |
\hline |
| 101 |
> |
e veto \mt-SF & $0.97 \pm 0.01$ & $0.98 \pm 0.01$ & $0.97 \pm 0.02$ & $0.88 \pm 0.04$ & $0.95 \pm 0.06$ & $0.98 \pm 0.08$ & $1.03 \pm 0.09$ \\ |
| 102 |
> |
\hline |
| 103 |
> |
\end{tabular}} |
| 104 |
> |
\caption{ \mt\ peak Data/MC scale factors. The pre-veto SFs are applied to the |
| 105 |
> |
\ttdl\ sample, while the post-veto SFs are applied to the single |
| 106 |
> |
lepton samples. The veto SF is shown for comparison across channels. |
| 107 |
> |
The raw MC is used for backgrounds from rare processes. |
| 108 |
> |
The uncertainties are statistical only. |
| 109 |
> |
\label{tab:mtpeaksf2}} |
| 110 |
> |
\end{center} |
| 111 |
> |
\end{table} |
| 112 |
> |
|
| 113 |
> |
|
| 114 |
> |
\subsection{Uncertainty on the \wjets\ cross-section and the rare MC cross-sections} |
| 115 |
|
These are taken as 50\%, uncorrelated. |
| 116 |
|
The primary effect is to introduce a 50\% |
| 117 |
|
uncertainty |
| 125 |
|
scaled to the number of $t\bar{t}$ events in the peak, the $t\bar{t}$ |
| 126 |
|
BG goes down. |
| 127 |
|
|
| 128 |
< |
\subsection{Scale factors for the tail-to-peak ratios for lepton + |
| 128 |
> |
\subsection{Tail-to-peak ratios for lepton + |
| 129 |
|
jets top and W events} |
| 130 |
< |
These tail-to-peak ratios are described in Section~\ref{sec:ttp}. |
| 131 |
< |
They are studied in CR1 and CR2. The studies are described |
| 132 |
< |
in Sections~\ref{sec:cr1} and~\ref{sec:cr2}), respectively, where |
| 133 |
< |
we also give the uncertainty on the scale factors. |
| 130 |
> |
The tail-to-peak ratios $R_{top}$ and $R_{wjet}$ are described in Section~\ref{sec:ttp}. |
| 131 |
> |
The data/MC scale factors are studied in CR1 and CR2 (Sections~\ref{sec:cr1} and~\ref{sec:cr2}). |
| 132 |
> |
Only the scale factor for \wjets, $SFR_{wjet}$, is used, and its |
| 133 |
> |
uncertainty is given in Table~\ref{tab:cr1yields}. |
| 134 |
> |
This uncertainty affects both $R_{wjet}$ and $R_{top}$. |
| 135 |
> |
The additional systematic uncertainty on $R_{top}$ from the variation between optimistic and pessimistic scenarios is given in Section~\ref{sec:ttp}. |
| 136 |
> |
|
| 137 |
|
|
| 138 |
|
\subsection{Uncertainty on extra jet radiation for dilepton |
| 139 |
|
background} |
| 141 |
|
jet distribution in |
| 142 |
|
$t\bar{t} \to$ |
| 143 |
|
dilepton MC is rescaled by the factors $K_3$ and $K_4$ to make |
| 144 |
< |
it agree with the data. The XX\% uncertainties on $K_3$ and $K_4$ |
| 144 |
> |
it agree with the data. The 3\% uncertainties on $K_3$ and $K_4$ |
| 145 |
|
comes from data/MC statistics. This |
| 146 |
< |
result directly in a XX\% uncertainty on the dilepton BG, which is by far |
| 146 |
> |
results directly in a 3\% uncertainty on the dilepton background, which is by far |
| 147 |
|
the most important one. |
| 148 |
|
|
| 149 |
+ |
\subsection{Uncertainty from MC statistics} |
| 150 |
+ |
This affects mostly the \ttll\ background estimate, which is taken |
| 151 |
+ |
from |
| 152 |
+ |
Monte Carlo with appropriate correction factors. This uncertainty |
| 153 |
+ |
is negligible in the low \met\ signal regions, and grows to about |
| 154 |
+ |
15\% in SRG. |
| 155 |
|
|
| 93 |
– |
\subsection{Uncertainty on the \ttll\ Acceptance} |
| 156 |
|
|
| 157 |
+ |
\subsection{Uncertainty on the \ttll\ Background} |
| 158 |
+ |
\label{sec:ttdilbkgunc} |
| 159 |
|
The \ttbar\ background prediction is obtained from MC, with corrections |
| 160 |
|
derived from control samples in data. The uncertainty associated with |
| 161 |
< |
the theoretical modeling of the \ttbar\ production and decay is |
| 162 |
< |
estimated by comparing the background predictions obtained using |
| 161 |
> |
the \ttbar\ background is derived from the level of closure of the |
| 162 |
> |
background prediction in CR4 (Table~\ref{tab:cr4yields}) and |
| 163 |
> |
CR5 (Table~\ref{tab:cr5yields}). The results from these control region |
| 164 |
> |
checks are shown in Figure~\ref{fig:ttdlunc}. The uncertainties assigned |
| 165 |
> |
to the \ttdl\ background prediction based on these tests are |
| 166 |
> |
5\% (SRA), 10\% (SRB), 15\% (SRC), 25\% (SRD), 40\% (SRE-G). |
| 167 |
> |
|
| 168 |
> |
\begin{figure}[hbt] |
| 169 |
> |
\begin{center} |
| 170 |
> |
\includegraphics[width=0.6\linewidth]{plots/ttdilepton_uncertainty.pdf} |
| 171 |
> |
\caption{ |
| 172 |
> |
\label{fig:ttdlunc}%\protect |
| 173 |
> |
Results of the comparison of yields in the \mt\ tail comparing the MC prediction (after |
| 174 |
> |
applying SFs) to data for CR4 and CR5 for all the signal |
| 175 |
> |
region requirements considered (A-G). The bands indicate the |
| 176 |
> |
systematic uncertainties assigned based on these tests, |
| 177 |
> |
ranging from $5\%$ for SRA to $40\%$ for SRE-G.} |
| 178 |
> |
\end{center} |
| 179 |
> |
\end{figure} |
| 180 |
> |
|
| 181 |
> |
|
| 182 |
> |
\subsubsection{Check of the uncertainty on the \ttll\ Background} |
| 183 |
> |
|
| 184 |
> |
We check that the systematic uncertainty assigned to the \ttll\ background prediction |
| 185 |
> |
covers the uncertainty associated with |
| 186 |
> |
the theoretical modeling of the \ttbar\ production and decay |
| 187 |
> |
by comparing the background predictions obtained using |
| 188 |
|
alternative MC samples. It should be noted that the full analysis is |
| 189 |
|
performed with the alternative samples under consideration, |
| 190 |
|
including the derivation of the various data-to-MC scale factors. |
| 192 |
|
|
| 193 |
|
\begin{itemize} |
| 194 |
|
\item Top mass: The alternative values for the top mass differ |
| 195 |
< |
from the central value by $5~\GeV$: $m_{\mathrm{top}} = 178.5~\GeV$ and $m_{\mathrm{top}} |
| 195 |
> |
from the central value by $6~\GeV$: $m_{\mathrm{top}} = 178.5~\GeV$ and $m_{\mathrm{top}} |
| 196 |
|
= 166.5~\GeV$. |
| 197 |
|
\item Jet-parton matching scale: This corresponds to variations in the |
| 198 |
|
scale at which the Matrix Element partons from Madgraph are matched |
| 204 |
|
value for the scale used is $Q^2 = m_{\mathrm{top}}^2 + |
| 205 |
|
\sum_{\mathrm{jets}} \pt^2$. |
| 206 |
|
\item Alternative generators: Samples produced with different |
| 207 |
< |
generators include MC@NLO and Powheg (NLO generators) and |
| 119 |
< |
Pythia (LO). It may also be noted that MC@NLO uses Herwig6 for the |
| 120 |
< |
hadronisation, while POWHEG uses Pythia6. |
| 207 |
> |
generators, Powheg (our default) and Madgraph. |
| 208 |
|
\item Modeling of taus: The alternative sample does not include |
| 209 |
|
Tauola and is otherwise identical to the Powheg sample. |
| 210 |
|
This effect was studied earlier using 7~TeV samples and found to be negligible. |
| 211 |
|
\item The PDF uncertainty is estimated following the PDF4LHC |
| 212 |
< |
recommendations[CITE]. The events are reweighted using alternative |
| 212 |
> |
recommendations. The events are reweighted using alternative |
| 213 |
|
PDF sets for CT10 and MSTW2008 and the uncertainties for each are derived using the |
| 214 |
< |
alternative eigenvector variations and the ``master equation''. In |
| 215 |
< |
addition, the NNPDF2.1 set with 100 replicas. The central value is |
| 214 |
> |
alternative eigenvector variations and the ``master equation''. |
| 215 |
> |
The NNPDF2.1 set with 100 replicas is also used. The central value is |
| 216 |
|
determined from the mean and the uncertainty is derived from the |
| 217 |
|
$1\sigma$ range. The overall uncertainty is derived from the envelope of the |
| 218 |
|
alternative predictions and their uncertainties. |
| 219 |
|
This effect was studied earlier using 7~TeV samples and found to be negligible. |
| 220 |
|
\end{itemize} |
| 221 |
|
|
| 135 |
– |
|
| 222 |
|
\begin{figure}[hbt] |
| 223 |
|
\begin{center} |
| 224 |
< |
\includegraphics[width=0.8\linewidth]{plots/n_dl_syst_comp.png} |
| 224 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRA.pdf}% |
| 225 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRB.pdf} |
| 226 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRC.pdf}% |
| 227 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRD.pdf} |
| 228 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRE.pdf} |
| 229 |
|
\caption{ |
| 230 |
< |
\label{fig:ttllsyst}%\protect |
| 230 |
> |
\label{fig:ttllsyst}\protect |
| 231 |
|
Comparison of the \ttll\ central prediction with those using |
| 232 |
|
alternative MC samples. The blue band corresponds to the |
| 233 |
|
total statistical error for all data and MC samples. The |
| 234 |
|
alternative sample predictions are indicated by the |
| 235 |
|
datapoints. The uncertainties on the alternative predictions |
| 236 |
|
correspond to the uncorrelated statistical uncertainty from |
| 237 |
< |
the size of the alternative sample only. |
| 238 |
< |
[TO BE UPDATED WITH THE LATEST SELECTION AND SFS]} |
| 237 |
> |
the size of the alternative sample only. Note the |
| 238 |
> |
suppressed vertical scales.} |
| 239 |
|
\end{center} |
| 240 |
|
\end{figure} |
| 241 |
|
|
| 242 |
+ |
|
| 243 |
+ |
\begin{table}[!h] |
| 244 |
+ |
\begin{center} |
| 245 |
+ |
{\footnotesize |
| 246 |
+ |
\begin{tabular}{l||c|c|c|c|c|c|c} |
| 247 |
+ |
\hline |
| 248 |
+ |
$\Delta/N$ [\%] & Madgraph & Mass Up & Mass Down & Scale Up & Scale Down & |
| 249 |
+ |
Match Up & Match Down \\ |
| 250 |
+ |
\hline |
| 251 |
+ |
\hline |
| 252 |
+ |
SRA & $2$ & $2$ & $5$ & $12$ & $7$ & $0$ & $2$ \\ |
| 253 |
+ |
\hline |
| 254 |
+ |
SRB & $6$ & $0$ & $6$ & $5$ & $12$ & $5$ & $6$ \\ |
| 255 |
+ |
\hline |
| 256 |
+ |
% SRC & $10$ & $3$ & $2$ & $12$ & $14$ & $16$ & $4$ \\ |
| 257 |
+ |
% \hline |
| 258 |
+ |
% SRD & $10$ & $6$ & $6$ & $21$ & $15$ & $19$ & $0$ \\ |
| 259 |
+ |
% \hline |
| 260 |
+ |
% SRE & $6$ & $17$ & $15$ & $2$ & $12$ & $17$ & $8$ \\ |
| 261 |
+ |
\hline |
| 262 |
+ |
\end{tabular}} |
| 263 |
+ |
\caption{ Relative difference in \ttdl\ predictions for alternative MC |
| 264 |
+ |
samples in |
| 265 |
+ |
the higher statistics regions SRA and SRB. These differences |
| 266 |
+ |
are based on the central values of the predictions. For a fuller |
| 267 |
+ |
picture |
| 268 |
+ |
of the situation, including statistical uncertainites, see Fig.~\ref{fig:ttllsyst}. |
| 269 |
+ |
\label{tab:fracdiff}} |
| 270 |
+ |
\end{center} |
| 271 |
+ |
\end{table} |
| 272 |
+ |
|
| 273 |
+ |
|
| 274 |
+ |
In Fig.~\ref{fig:ttllsyst} we compare the alternate MC \ttll\ background predictions |
| 275 |
+ |
for regions A through E. We can make the following observations based |
| 276 |
+ |
on this Figure. |
| 277 |
+ |
|
| 278 |
+ |
\begin{itemize} |
| 279 |
+ |
\item In the tighter signal regions we are running out of |
| 280 |
+ |
statistics. |
| 281 |
+ |
\item Within the limited statistics, there is no evidence that the |
| 282 |
+ |
situation changes as we go from signal region A to signal region E. |
| 283 |
+ |
%Therefore, we assess a systematic based on the relatively high |
| 284 |
+ |
%statistics |
| 285 |
+ |
%test in signal region A, and apply the same systematic uncertainty |
| 286 |
+ |
%to all other regions. |
| 287 |
+ |
\item In signal regions B and above, the uncertainties assigned in Section~\ref{sec:ttdilbkgunc} |
| 288 |
+ |
fully cover the alternative MC variations. |
| 289 |
+ |
\item In order to fully (as opposed as 1$\sigma$) cover the |
| 290 |
+ |
alternative MC variations in region A we would have to take a |
| 291 |
+ |
systematic |
| 292 |
+ |
uncertainty of $\approx 10\%$ instead of $5\%$. This would be driven by the |
| 293 |
+ |
scale up/scale down variations, see Table~\ref{tab:fracdiff}. |
| 294 |
+ |
\end{itemize} |
| 295 |
+ |
|
| 296 |
+ |
\begin{table}[!ht] |
| 297 |
+ |
\begin{center} |
| 298 |
+ |
\begin{tabular}{l|c|c} |
| 299 |
+ |
\hline |
| 300 |
+ |
Sample |
| 301 |
+ |
& K3 & K4\\ |
| 302 |
+ |
\hline |
| 303 |
+ |
\hline |
| 304 |
+ |
Powheg & $1.01 \pm 0.03$ & $0.93 \pm 0.04$ \\ |
| 305 |
+ |
Madgraph & $1.01 \pm 0.04$ & $0.92 \pm 0.04$ \\ |
| 306 |
+ |
Mass Up & $1.00 \pm 0.04$ & $0.92 \pm 0.04$ \\ |
| 307 |
+ |
Mass Down & $1.06 \pm 0.04$ & $0.99 \pm 0.05$ \\ |
| 308 |
+ |
Scale Up & $1.14 \pm 0.04$ & $1.23 \pm 0.06$ \\ |
| 309 |
+ |
Scale Down & $0.89 \pm 0.03$ & $0.74 \pm 0.03$ \\ |
| 310 |
+ |
Match Up & $1.02 \pm 0.04$ & $0.97 \pm 0.04$ \\ |
| 311 |
+ |
Match Down & $1.02 \pm 0.04$ & $0.91 \pm 0.04$ \\ |
| 312 |
+ |
\hline |
| 313 |
+ |
\end{tabular} |
| 314 |
+ |
\caption{$\met>100$ GeV: Data/MC scale factors used to account for differences in the |
| 315 |
+ |
fraction of events with additional hard jets from radiation in |
| 316 |
+ |
\ttll\ events. \label{tab:njetskfactors_met100}} |
| 317 |
+ |
\end{center} |
| 318 |
+ |
\end{table} |
| 319 |
+ |
|
| 320 |
+ |
|
| 321 |
+ |
However, we have two pieces of information indicating that the |
| 322 |
+ |
scale up/scale down variations are inconsistent with the data. |
| 323 |
+ |
These are described below. |
| 324 |
+ |
|
| 325 |
+ |
The first piece of information is that the jet multiplicity in the scale |
| 326 |
+ |
up/scale down sample is the most inconsistent with the data. This is shown |
| 327 |
+ |
in Table~\ref{tab:njetskfactors_met100}, where we tabulate the |
| 328 |
+ |
$K_3$ and $K_4$ factors of Section~\ref{sec:jetmultiplicity} for |
| 329 |
+ |
different \ttbar\ MC samples. The data/MC disagreement in the $N_{jets}$ |
| 330 |
+ |
distribution |
| 331 |
+ |
for the scale up/scale down samples is also shown in Fig.~\ref{fig:dileptonnjets_scaleup} |
| 332 |
+ |
and~\ref{fig:dileptonnjets_scaledw}. This should be compared with the |
| 333 |
+ |
equivalent $N_{jets}$ plots for the default Powheg MC, see |
| 334 |
+ |
Fig.~\ref{fig:dileptonnjets}, which agrees much better with data. |
| 335 |
+ |
|
| 336 |
+ |
\begin{figure}[hbt] |
| 337 |
+ |
\begin{center} |
| 338 |
+ |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_mueg_scaleup.pdf} |
| 339 |
+ |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_diel_scaleup.pdf}% |
| 340 |
+ |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_dimu_scaleup.pdf} |
| 341 |
+ |
\caption{ |
| 342 |
+ |
\label{fig:dileptonnjets_scaleup}%\protect |
| 343 |
+ |
SCALE UP: Comparison of the jet multiplicity distribution in data and MC for dilepton events in the \E-\M\ |
| 344 |
+ |
(top), \E-\E\ (bottom left) and \M-\M\ (bottom right) channels.} |
| 345 |
+ |
\end{center} |
| 346 |
+ |
\end{figure} |
| 347 |
+ |
|
| 348 |
+ |
\begin{figure}[hbt] |
| 349 |
+ |
\begin{center} |
| 350 |
+ |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_mueg_scaledw.pdf} |
| 351 |
+ |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_diel_scaledw.pdf}% |
| 352 |
+ |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_dimu_scaledw.pdf} |
| 353 |
+ |
\caption{ |
| 354 |
+ |
\label{fig:dileptonnjets_scaledw}%\protect |
| 355 |
+ |
SCALE DOWN: Comparison of the jet multiplicity distribution in data and MC for dilepton events in the \E-\M\ |
| 356 |
+ |
(top), \E-\E\ (bottom left) and \M-\M\ (bottom right) channels.} |
| 357 |
+ |
\end{center} |
| 358 |
+ |
\end{figure} |
| 359 |
+ |
|
| 360 |
+ |
|
| 361 |
+ |
\clearpage |
| 362 |
+ |
|
| 363 |
+ |
The second piece of information is that we have performed closure |
| 364 |
+ |
tests in CR5 using the alternative MC samples. These are exactly |
| 365 |
+ |
the same tests as the one performed in Section~\ref{sec:CR5} on the |
| 366 |
+ |
Powheg sample. As we argued previously, this is a very powerful |
| 367 |
+ |
test of the background calculation. |
| 368 |
+ |
The results of this test are summarized in Table~\ref{tab:hugecr5yields}. |
| 369 |
+ |
Concentrating on the relatively high statistics CR5A region, we see |
| 370 |
+ |
for all \ttbar\ MC samples except scale up/scale down we obtain |
| 371 |
+ |
closure within 1$\sigma$. The scale up/scale down tests closes |
| 372 |
+ |
worse, only within 2$\sigma$. This again is evidence that the |
| 373 |
+ |
scale up/scale down variations are in disagreement with the data. |
| 374 |
+ |
|
| 375 |
+ |
\input{hugeCR5Table.tex} |
| 376 |
+ |
|
| 377 |
+ |
Based on the two observations above, we argue that the MC |
| 378 |
+ |
scale up/scale down variations are too extreme. We feel that |
| 379 |
+ |
a reasonable choice would be to take one-half of the scale up/scale |
| 380 |
+ |
down variations in our MC. This factor of 1/2 would then bring |
| 381 |
+ |
the discrepancy in the closure test of |
| 382 |
+ |
Table~\ref{tab:hugecr5yields} for the scale up/scale down variations |
| 383 |
+ |
from about 2$\sigma$ to about 1$\sigma$. |
| 384 |
+ |
|
| 385 |
+ |
Then, going back to Table~\ref{tab:fracdiff}, and reducing the scale |
| 386 |
+ |
up/scale |
| 387 |
+ |
down variations by a factor 2, we can see that a systematic |
| 388 |
+ |
uncertainty |
| 389 |
+ |
of 5\% covers the range of reasonable variations from different MC |
| 390 |
+ |
models in SRA and SRB. |
| 391 |
+ |
%The alternative MC models indicate that a 6\% systematic uncertainty |
| 392 |
+ |
%covers the range of reasonable variations. |
| 393 |
+ |
Note that this 5\% is also consistent with the level at which we are |
| 394 |
+ |
able to test the closure of the method with alternative samples in CR5 for the high statistics |
| 395 |
+ |
regions (Table~\ref{tab:hugecr5yields}). |
| 396 |
+ |
The range of reasonable variations obtained with the alternative |
| 397 |
+ |
samples are consistent with the uncertainties assigned for |
| 398 |
+ |
the \ttll\ background based on the closure of the background |
| 399 |
+ |
predictions and data in CR4 and CR5. |
| 400 |
+ |
|
| 401 |
+ |
|
| 402 |
+ |
|
| 403 |
+ |
|
| 404 |
+ |
|
| 405 |
+ |
%\begin{table}[!h] |
| 406 |
+ |
%\begin{center} |
| 407 |
+ |
%{\footnotesize |
| 408 |
+ |
%\begin{tabular}{l||c||c|c|c|c|c|c|c} |
| 409 |
+ |
%\hline |
| 410 |
+ |
%Sample & Powheg & Madgraph & Mass Up & Mass Down & Scale |
| 411 |
+ |
%Up & Scale Down & |
| 412 |
+ |
%Match Up & Match Down \\ |
| 413 |
+ |
%\hline |
| 414 |
+ |
%\hline |
| 415 |
+ |
%SRA & $579 \pm 10$ & $569 \pm 16$ & $591 \pm 18$ & $610 \pm 22$ & $651 \pm 22$ & $537 \pm 16$ & $578 \pm 18$ & $570 \pm 17$ \\ |
| 416 |
+ |
%\hline |
| 417 |
+ |
%SRB & $328 \pm 7$ & $307 \pm 11$ & $329 \pm 13$ & $348 \pm 15$ & $344 \pm 15$ & $287 \pm 10$ & $313 \pm 13$ & $307 \pm 12$ \\ |
| 418 |
+ |
%\hline |
| 419 |
+ |
%SRC & $111 \pm 4$ & $99 \pm 5$ & $107 \pm 7$ & $113 \pm 8$ & $124 \pm 8$ & $95 \pm 6$ & $93 \pm 6$ & $106 \pm 6$ \\ |
| 420 |
+ |
%\hline |
| 421 |
+ |
%SRD & $39 \pm 2$ & $35 \pm 3$ & $41 \pm 4$ & $41 \pm 5$ & $47 \pm 5$ & $33 \pm 3$ & $31 \pm 3$ & $39 \pm 4$ \\ |
| 422 |
+ |
%\hline |
| 423 |
+ |
%SRE & $14 \pm 1$ & $15 \pm 2$ & $17 \pm 3$ & $12 \pm 3$ & $15 \pm 3$ & $13 \pm 2$ & $12 \pm 2$ & $16 \pm 2$ \\ |
| 424 |
+ |
%\hline |
| 425 |
+ |
%\end{tabular}} |
| 426 |
+ |
%\caption{ \ttdl\ predictions for alternative MC samples. The uncertainties are statistical only. |
| 427 |
+ |
%\label{tab:ttdlalt}} |
| 428 |
+ |
%\end{center} |
| 429 |
+ |
%\end{table} |
| 430 |
+ |
|
| 431 |
+ |
|
| 432 |
+ |
|
| 433 |
+ |
|
| 434 |
+ |
%\begin{table}[!h] |
| 435 |
+ |
%\begin{center} |
| 436 |
+ |
%{\footnotesize |
| 437 |
+ |
%\begin{tabular}{l||c|c|c|c|c|c|c} |
| 438 |
+ |
%\hline |
| 439 |
+ |
%$N \sigma$ & Madgraph & Mass Up & Mass Down & Scale Up & Scale Down & |
| 440 |
+ |
%Match Up & Match Down \\ |
| 441 |
+ |
%\hline |
| 442 |
+ |
%\hline |
| 443 |
+ |
%SRA & $0.38$ & $0.42$ & $1.02$ & $2.34$ & $1.58$ & $0.01$ & $0.33$ \\ |
| 444 |
+ |
%\hline |
| 445 |
+ |
%SRB & $1.17$ & $0.07$ & $0.98$ & $0.76$ & $2.29$ & $0.78$ & $1.11$ \\ |
| 446 |
+ |
%\hline |
| 447 |
+ |
%SRC & $1.33$ & $0.37$ & $0.26$ & $1.24$ & $1.82$ & $1.97$ & $0.54$ \\ |
| 448 |
+ |
%\hline |
| 449 |
+ |
%SRD & $0.82$ & $0.46$ & $0.38$ & $1.32$ & $1.27$ & $1.47$ & $0.00$ \\ |
| 450 |
+ |
%\hline |
| 451 |
+ |
%SRE & $0.32$ & $0.75$ & $0.66$ & $0.07$ & $0.66$ & $0.83$ & $0.38$ \\ |
| 452 |
+ |
%\hline |
| 453 |
+ |
%\end{tabular}} |
| 454 |
+ |
%\caption{ N $\sigma$ difference in \ttdl\ predictions for alternative MC samples. |
| 455 |
+ |
%\label{tab:nsig}} |
| 456 |
+ |
%\end{center} |
| 457 |
+ |
%\end{table} |
| 458 |
+ |
|
| 459 |
+ |
|
| 460 |
+ |
%\begin{table}[!h] |
| 461 |
+ |
%\begin{center} |
| 462 |
+ |
%\begin{tabular}{l||c|c|c|c} |
| 463 |
+ |
%\hline |
| 464 |
+ |
%Av. $\Delta$ Evt. & Alt. Gen. & $\Delta$ Mass & $\Delta$ Scale |
| 465 |
+ |
%& $\Delta$ Match \\ |
| 466 |
+ |
%\hline |
| 467 |
+ |
%\hline |
| 468 |
+ |
%SRA & $5.0$ ($1\%$) & $9.6$ ($2\%$) & $56.8$ ($10\%$) & $4.4$ ($1\%$) \\ |
| 469 |
+ |
%\hline |
| 470 |
+ |
%SRB & $10.4$ ($3\%$) & $9.6$ ($3\%$) & $28.2$ ($9\%$) & $2.8$ ($1\%$) \\ |
| 471 |
+ |
%\hline |
| 472 |
+ |
%SRC & $5.7$ ($5\%$) & $3.1$ ($3\%$) & $14.5$ ($13\%$) & $6.4$ ($6\%$) \\ |
| 473 |
+ |
%\hline |
| 474 |
+ |
%SRD & $1.9$ ($5\%$) & $0.1$ ($0\%$) & $6.9$ ($18\%$) & $3.6$ ($9\%$) \\ |
| 475 |
+ |
%\hline |
| 476 |
+ |
%SRE & $0.5$ ($3\%$) & $2.3$ ($16\%$) & $1.0$ ($7\%$) & $1.8$ ($12\%$) \\ |
| 477 |
+ |
%\hline |
| 478 |
+ |
%\end{tabular} |
| 479 |
+ |
%\caption{ Av. difference in \ttdl\ events for alternative sample pairs. |
| 480 |
+ |
%\label{tab:devt}} |
| 481 |
+ |
%\end{center} |
| 482 |
+ |
%\end{table} |
| 483 |
+ |
|
| 484 |
+ |
|
| 485 |
+ |
|
| 486 |
|
\clearpage |
| 487 |
|
|
| 488 |
|
% |
| 624 |
|
veto performance is modeled by the Monte Carlo. This uncertainty |
| 625 |
|
only applies to the fraction of dilepton BG events that have |
| 626 |
|
a second e/$\mu$ or a one prong $\tau \to h$, with |
| 627 |
< |
$P_T > 10$ GeV in $|\eta| < 2.4$. This fraction is 1/3 (THIS WAS THE |
| 628 |
< |
7 TEV NUMBER, CHECK). The uncertainty for these events |
| 629 |
< |
is XX\% and is obtained from Tag and Probe studies of Section~\ref{sec:trkveto} |
| 627 |
> |
$P_T > 10$ GeV in $|\eta| < 2.4$. This fraction is about 1/3, see |
| 628 |
> |
Table~\ref{tab:trueisotrk}. |
| 629 |
> |
The uncertainty for these events |
| 630 |
> |
is 6\% and is obtained from tag-and-probe studies, see Section~\ref{sec:trkveto}. |
| 631 |
> |
|
| 632 |
> |
\begin{table}[!h] |
| 633 |
> |
\begin{center} |
| 634 |
> |
{\footnotesize |
| 635 |
> |
\begin{tabular}{l||c|c|c|c|c|c|c} |
| 636 |
> |
\hline |
| 637 |
> |
Sample & SRA & SRB & SRC & SRD & SRE & SRF & SRG \\ |
| 638 |
> |
\hline |
| 639 |
> |
\hline |
| 640 |
> |
$\mu$ Frac. \ttdl\ with true iso. trk. & $0.32 \pm 0.03$ & $0.30 \pm 0.03$ & $0.32 \pm 0.06$ & $0.34 \pm 0.10$ & $0.35 \pm 0.16$ & $0.40 \pm 0.24$ & $0.50 \pm 0.32$ \\ |
| 641 |
> |
\hline |
| 642 |
> |
\hline |
| 643 |
> |
e Frac. \ttdl\ with true iso. trk. & $0.32 \pm 0.03$ & $0.31 \pm 0.04$ & $0.33 \pm 0.06$ & $0.38 \pm 0.11$ & $0.38 \pm 0.19$ & $0.60 \pm 0.31$ & $0.61 \pm 0.45$ \\ |
| 644 |
> |
\hline |
| 645 |
> |
\end{tabular}} |
| 646 |
> |
\caption{ Fraction of \ttdl\ events with a true isolated track. |
| 647 |
> |
\label{tab:trueisotrk}} |
| 648 |
> |
\end{center} |
| 649 |
> |
\end{table} |
| 650 |
|
|
| 651 |
|
\subsubsection{Isolated Track Veto: Tag and Probe Studies} |
| 652 |
|
\label{sec:trkveto} |
| 653 |
|
|
| 300 |
– |
[EVERYTHING IS 7TEV HERE, UPDATE WITH NEW RESULTS \\ |
| 301 |
– |
ADD TABLE WITH FRACTION OF EVENTS THAT HAVE A TRUE ISOLATED TRACK] |
| 654 |
|
|
| 655 |
|
In this section we compare the performance of the isolated track veto in data and MC using tag-and-probe studies |
| 656 |
|
with samples of Z$\to$ee and Z$\to\mu\mu$. The purpose of these studies is to demonstrate that the efficiency |
| 657 |
|
to satisfy the isolated track veto requirements is well-reproduced in the MC, since if this were not the case |
| 658 |
< |
we would need to apply a data-to-MC scale factor in order to correctly predict the \ttll\ background. This study |
| 658 |
> |
we would need to apply a data-to-MC scale factor in order to correctly |
| 659 |
> |
predict the \ttll\ background. |
| 660 |
> |
|
| 661 |
> |
This study |
| 662 |
|
addresses possible data vs. MC discrepancies for the {\bf efficiency} to identify (and reject) events with a |
| 663 |
|
second {\bf genuine} lepton (e, $\mu$, or $\tau\to$1-prong). It does not address possible data vs. MC discrepancies |
| 664 |
|
in the fake rate for rejecting events without a second genuine lepton; this is handled separately in the top normalization |
| 665 |
|
procedure by scaling the \ttlj\ contribution to match the data in the \mt\ peak after applying the isolated track veto. |
| 666 |
+ |
|
| 667 |
|
Furthermore, we test the data and MC |
| 668 |
|
isolated track veto efficiencies for electrons and muons since we are using a Z tag-and-probe technique, but we do not |
| 669 |
|
directly test the performance for hadronic tracks from $\tau$ decays. The performance for hadronic $\tau$ decay products |
| 676 |
|
Second, hadronic tracks may undergo nuclear interactions and hence their tracks may not be reconstructed. |
| 677 |
|
As discussed above, independent studies show that the MC reproduces the hadronic tracking efficiency within 4\%, |
| 678 |
|
leading to a total background uncertainty of less than 0.5\% (after taking into account the fraction of the total background |
| 679 |
< |
due to hadronic $\tau$ decays with \pt\ $>$ 10 GeV tracks), and we hence regard this effect as neglgigible. |
| 679 |
> |
due to hadronic $\tau$ decays with \pt\ $>$ 10 GeV tracks), and we hence regard this effect as negligible. |
| 680 |
|
|
| 681 |
< |
The tag-and-probe studies are performed in the full 2011 data sample, and compared with the DYJets madgraph sample. |
| 681 |
> |
The tag-and-probe studies are performed in the full data sample, and compared with the DYJets madgraph sample. |
| 682 |
|
All events must contain a tag-probe pair (details below) with opposite-sign and satisfying the Z mass requirement 76--106 GeV. |
| 683 |
|
We compare the distributions of absolute track isolation for probe electrons/muons in data vs. MC. The contributions to |
| 684 |
|
this isolation sum are from ambient energy in the event from underlying event, pile-up and jet activitiy, and hence do |
| 700 |
|
|
| 701 |
|
\begin{itemize} |
| 702 |
|
\item Electron passes full analysis ID/iso selection |
| 703 |
< |
\item \pt\ $>$ 30 GeV, $|\eta|<2.5$ |
| 704 |
< |
|
| 349 |
< |
\item Matched to 1 of the 2 electron tag-and-probe triggers |
| 350 |
< |
\begin{itemize} |
| 351 |
< |
\item \verb=HLT_Ele17_CaloIdVT_CaloIsoVT_TrkIdT_TrkIsoVT_SC8_Mass30_v*= |
| 352 |
< |
\item \verb=HLT_Ele17_CaloIdVT_CaloIsoVT_TrkIdT_TrkIsoVT_Ele8_Mass30_v*= |
| 353 |
< |
\end{itemize} |
| 703 |
> |
\item \pt\ $>$ 30 GeV, $|\eta|<2.1$ |
| 704 |
> |
\item Matched to the single electron trigger \verb=HLT_Ele27_WP80_v*= |
| 705 |
|
\end{itemize} |
| 706 |
|
|
| 707 |
|
\item{Probe criteria} |
| 716 |
|
\begin{itemize} |
| 717 |
|
\item Muon passes full analysis ID/iso selection |
| 718 |
|
\item \pt\ $>$ 30 GeV, $|\eta|<2.1$ |
| 719 |
< |
\item Matched to 1 of the 2 electron tag-and-probe triggers |
| 719 |
> |
\item Matched to 1 of the 2 single muon triggers |
| 720 |
|
\begin{itemize} |
| 721 |
|
\item \verb=HLT_IsoMu30_v*= |
| 722 |
|
\item \verb=HLT_IsoMu30_eta2p1_v*= |
| 733 |
|
The absolute track isolation distributions for passing probes are displayed in Fig.~\ref{fig:tnp}. In general we observe |
| 734 |
|
good agreement between data and MC. To be more quantitative, we compare the data vs. MC efficiencies to satisfy |
| 735 |
|
absolute track isolation requirements varying from $>$ 1 GeV to $>$ 5 GeV, as summarized in Table~\ref{tab:isotrk}. |
| 736 |
< |
In the $\geq$0 and $\geq$1 jet bins where the efficiencies can be tested with statistical precision, the data and MC |
| 737 |
< |
efficiencies agree within 7\%, and we apply this as a systematic uncertainty on the isolated track veto efficiency. |
| 736 |
> |
In the $\geq 0$ and $\geq 1$ jet bins where the efficiencies can be tested with statistical precision, the data and MC |
| 737 |
> |
efficiencies agree within 6\%, and we apply this as a systematic uncertainty on the isolated track veto efficiency. |
| 738 |
|
For the higher jet multiplicity bins the statistical precision decreases, but we do not observe any evidence for |
| 739 |
|
a data vs. MC discrepancy in the isolated track veto efficiency. |
| 740 |
|
|
| 745 |
|
|
| 746 |
|
\begin{figure}[hbt] |
| 747 |
|
\begin{center} |
| 748 |
< |
%\includegraphics[width=0.3\linewidth]{plots/el_tkiso_0j.pdf}% |
| 749 |
< |
%\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_0j.pdf} |
| 750 |
< |
%\includegraphics[width=0.3\linewidth]{plots/el_tkiso_1j.pdf}% |
| 751 |
< |
%\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_1j.pdf} |
| 752 |
< |
%\includegraphics[width=0.3\linewidth]{plots/el_tkiso_2j.pdf}% |
| 753 |
< |
%\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_2j.pdf} |
| 754 |
< |
%\includegraphics[width=0.3\linewidth]{plots/el_tkiso_3j.pdf}% |
| 755 |
< |
%\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_3j.pdf} |
| 756 |
< |
%\includegraphics[width=0.3\linewidth]{plots/el_tkiso_4j.pdf}% |
| 757 |
< |
%\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_4j.pdf} |
| 748 |
> |
\includegraphics[width=0.3\linewidth]{plots/el_tkiso_0j.pdf}% |
| 749 |
> |
\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_0j.pdf} |
| 750 |
> |
\includegraphics[width=0.3\linewidth]{plots/el_tkiso_1j.pdf}% |
| 751 |
> |
\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_1j.pdf} |
| 752 |
> |
\includegraphics[width=0.3\linewidth]{plots/el_tkiso_2j.pdf}% |
| 753 |
> |
\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_2j.pdf} |
| 754 |
> |
\includegraphics[width=0.3\linewidth]{plots/el_tkiso_3j.pdf}% |
| 755 |
> |
\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_3j.pdf} |
| 756 |
> |
\includegraphics[width=0.3\linewidth]{plots/el_tkiso_4j.pdf}% |
| 757 |
> |
\includegraphics[width=0.3\linewidth]{plots/mu_tkiso_4j.pdf} |
| 758 |
|
\caption{ |
| 759 |
|
\label{fig:tnp} Comparison of the absolute track isolation in data vs. MC for electrons (left) and muons (right) |
| 760 |
|
for events with the \njets\ requirement varied from \njets\ $\geq$ 0 to \njets\ $\geq$ 4. |
| 766 |
|
|
| 767 |
|
\begin{table}[!ht] |
| 768 |
|
\begin{center} |
| 769 |
< |
\caption{\label{tab:isotrk} Comparison of the data vs. MC efficiencies to satisfy the indicated requirements |
| 770 |
< |
on the absolute track isolation, and the ratio of these two efficiencies. Results are indicated separately for electrons and muons and for various |
| 771 |
< |
jet multiplicity requirements.} |
| 772 |
< |
\begin{tabular}{l|l|c|c|c|c|c} |
| 769 |
> |
\begin{tabular}{l|c|c|c|c|c} |
| 770 |
> |
|
| 771 |
> |
%Electrons: |
| 772 |
> |
%Selection : ((((((((((abs(tagAndProbeMass-91)<15)&&(qProbe*qTag<0))&&((eventSelection&1)==1))&&(abs(tag->eta())<2.1))&&(tag->pt()>30.0))&&(HLT_Ele27_WP80_tag > 0))&&(met<30))&&(nbl==0))&&((leptonSelection&8)==8))&&(probe->pt()>30))&&(drprobe<0.05) |
| 773 |
> |
%Total MC yields : 2497277 |
| 774 |
> |
%Total DATA yields : 2649453 |
| 775 |
> |
%Muons: |
| 776 |
> |
%Selection : ((((((((((abs(tagAndProbeMass-91)<15)&&(qProbe*qTag<0))&&((eventSelection&2)==2))&&(abs(tag->eta())<2.1))&&(tag->pt()>30.0))&&(HLT_IsoMu24_tag > 0))&&(met<30))&&(nbl==0))&&((leptonSelection&65536)==65536))&&(probe->pt()>30))&&(drprobe<0.05) |
| 777 |
> |
%Total MC yields : 3749863 |
| 778 |
> |
%Total DATA yields : 4210022 |
| 779 |
> |
%Info in <TCanvas::MakeDefCanvas>: created default TCanvas with name c1 |
| 780 |
> |
%Info in <TCanvas::Print>: pdf file plots/nvtx.pdf has been created |
| 781 |
> |
|
| 782 |
|
\hline |
| 783 |
|
\hline |
| 784 |
< |
e + $\geq$0 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 784 |
> |
e + $\geq$0 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 785 |
|
\hline |
| 786 |
< |
data & 0.088 $\pm$ 0.0003 & 0.030 $\pm$ 0.0002 & 0.013 $\pm$ 0.0001 & 0.007 $\pm$ 0.0001 & 0.005 $\pm$ 0.0001 \\ |
| 787 |
< |
mc & 0.087 $\pm$ 0.0001 & 0.030 $\pm$ 0.0001 & 0.014 $\pm$ 0.0001 & 0.008 $\pm$ 0.0000 & 0.005 $\pm$ 0.0000 \\ |
| 788 |
< |
data/mc & 1.01 $\pm$ 0.00 & 0.99 $\pm$ 0.01 & 0.97 $\pm$ 0.01 & 0.95 $\pm$ 0.01 & 0.93 $\pm$ 0.01 \\ |
| 786 |
> |
data & 0.098 $\pm$ 0.0002 & 0.036 $\pm$ 0.0001 & 0.016 $\pm$ 0.0001 & 0.009 $\pm$ 0.0001 & 0.006 $\pm$ 0.0000 \\ |
| 787 |
> |
mc & 0.097 $\pm$ 0.0002 & 0.034 $\pm$ 0.0001 & 0.016 $\pm$ 0.0001 & 0.009 $\pm$ 0.0001 & 0.005 $\pm$ 0.0000 \\ |
| 788 |
> |
data/mc & 1.00 $\pm$ 0.00 & 1.04 $\pm$ 0.00 & 1.04 $\pm$ 0.01 & 1.03 $\pm$ 0.01 & 1.02 $\pm$ 0.01 \\ |
| 789 |
> |
|
| 790 |
|
\hline |
| 791 |
|
\hline |
| 792 |
< |
$\mu$ + $\geq$0 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 792 |
> |
$\mu$ + $\geq$0 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 793 |
|
\hline |
| 794 |
< |
data & 0.087 $\pm$ 0.0002 & 0.031 $\pm$ 0.0001 & 0.015 $\pm$ 0.0001 & 0.008 $\pm$ 0.0001 & 0.005 $\pm$ 0.0001 \\ |
| 795 |
< |
mc & 0.085 $\pm$ 0.0001 & 0.030 $\pm$ 0.0001 & 0.014 $\pm$ 0.0000 & 0.008 $\pm$ 0.0000 & 0.005 $\pm$ 0.0000 \\ |
| 796 |
< |
data/mc & 1.02 $\pm$ 0.00 & 1.06 $\pm$ 0.00 & 1.06 $\pm$ 0.01 & 1.03 $\pm$ 0.01 & 1.02 $\pm$ 0.01 \\ |
| 794 |
> |
data & 0.094 $\pm$ 0.0001 & 0.034 $\pm$ 0.0001 & 0.016 $\pm$ 0.0001 & 0.009 $\pm$ 0.0000 & 0.006 $\pm$ 0.0000 \\ |
| 795 |
> |
mc & 0.093 $\pm$ 0.0001 & 0.033 $\pm$ 0.0001 & 0.015 $\pm$ 0.0001 & 0.009 $\pm$ 0.0000 & 0.006 $\pm$ 0.0000 \\ |
| 796 |
> |
data/mc & 1.01 $\pm$ 0.00 & 1.03 $\pm$ 0.00 & 1.03 $\pm$ 0.01 & 1.03 $\pm$ 0.01 & 1.02 $\pm$ 0.01 \\ |
| 797 |
> |
|
| 798 |
|
\hline |
| 437 |
– |
\hline |
| 438 |
– |
e + $\geq$1 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 799 |
|
\hline |
| 800 |
< |
data & 0.099 $\pm$ 0.0008 & 0.038 $\pm$ 0.0005 & 0.019 $\pm$ 0.0004 & 0.011 $\pm$ 0.0003 & 0.008 $\pm$ 0.0002 \\ |
| 441 |
< |
mc & 0.100 $\pm$ 0.0004 & 0.038 $\pm$ 0.0003 & 0.019 $\pm$ 0.0002 & 0.012 $\pm$ 0.0002 & 0.008 $\pm$ 0.0001 \\ |
| 442 |
< |
data/mc & 0.99 $\pm$ 0.01 & 1.00 $\pm$ 0.02 & 0.99 $\pm$ 0.02 & 0.98 $\pm$ 0.03 & 0.97 $\pm$ 0.03 \\ |
| 800 |
> |
e + $\geq$1 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 801 |
|
\hline |
| 802 |
+ |
data & 0.110 $\pm$ 0.0005 & 0.044 $\pm$ 0.0003 & 0.022 $\pm$ 0.0002 & 0.014 $\pm$ 0.0002 & 0.009 $\pm$ 0.0002 \\ |
| 803 |
+ |
mc & 0.110 $\pm$ 0.0005 & 0.042 $\pm$ 0.0003 & 0.021 $\pm$ 0.0002 & 0.013 $\pm$ 0.0002 & 0.009 $\pm$ 0.0001 \\ |
| 804 |
+ |
data/mc & 1.00 $\pm$ 0.01 & 1.04 $\pm$ 0.01 & 1.06 $\pm$ 0.02 & 1.08 $\pm$ 0.02 & 1.06 $\pm$ 0.03 \\ |
| 805 |
+ |
|
| 806 |
|
\hline |
| 445 |
– |
$\mu$ + $\geq$1 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 807 |
|
\hline |
| 808 |
< |
data & 0.100 $\pm$ 0.0006 & 0.041 $\pm$ 0.0004 & 0.022 $\pm$ 0.0003 & 0.014 $\pm$ 0.0002 & 0.010 $\pm$ 0.0002 \\ |
| 448 |
< |
mc & 0.099 $\pm$ 0.0004 & 0.039 $\pm$ 0.0002 & 0.020 $\pm$ 0.0002 & 0.013 $\pm$ 0.0001 & 0.009 $\pm$ 0.0001 \\ |
| 449 |
< |
data/mc & 1.01 $\pm$ 0.01 & 1.05 $\pm$ 0.01 & 1.05 $\pm$ 0.02 & 1.06 $\pm$ 0.02 & 1.06 $\pm$ 0.03 \\ |
| 808 |
> |
$\mu$ + $\geq$1 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 809 |
|
\hline |
| 810 |
+ |
data & 0.106 $\pm$ 0.0004 & 0.043 $\pm$ 0.0003 & 0.023 $\pm$ 0.0002 & 0.014 $\pm$ 0.0002 & 0.010 $\pm$ 0.0001 \\ |
| 811 |
+ |
mc & 0.106 $\pm$ 0.0004 & 0.042 $\pm$ 0.0003 & 0.021 $\pm$ 0.0002 & 0.013 $\pm$ 0.0002 & 0.009 $\pm$ 0.0001 \\ |
| 812 |
+ |
data/mc & 1.00 $\pm$ 0.01 & 1.04 $\pm$ 0.01 & 1.06 $\pm$ 0.01 & 1.08 $\pm$ 0.02 & 1.07 $\pm$ 0.02 \\ |
| 813 |
+ |
|
| 814 |
|
\hline |
| 452 |
– |
e + $\geq$2 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 815 |
|
\hline |
| 816 |
< |
data & 0.105 $\pm$ 0.0020 & 0.042 $\pm$ 0.0013 & 0.021 $\pm$ 0.0009 & 0.013 $\pm$ 0.0007 & 0.009 $\pm$ 0.0006 \\ |
| 455 |
< |
mc & 0.109 $\pm$ 0.0011 & 0.043 $\pm$ 0.0007 & 0.021 $\pm$ 0.0005 & 0.013 $\pm$ 0.0004 & 0.009 $\pm$ 0.0003 \\ |
| 456 |
< |
data/mc & 0.96 $\pm$ 0.02 & 0.97 $\pm$ 0.03 & 1.00 $\pm$ 0.05 & 1.01 $\pm$ 0.06 & 0.97 $\pm$ 0.08 \\ |
| 816 |
> |
e + $\geq$2 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 817 |
|
\hline |
| 818 |
+ |
data & 0.117 $\pm$ 0.0012 & 0.050 $\pm$ 0.0008 & 0.026 $\pm$ 0.0006 & 0.017 $\pm$ 0.0005 & 0.012 $\pm$ 0.0004 \\ |
| 819 |
+ |
mc & 0.120 $\pm$ 0.0012 & 0.048 $\pm$ 0.0008 & 0.025 $\pm$ 0.0006 & 0.016 $\pm$ 0.0005 & 0.011 $\pm$ 0.0004 \\ |
| 820 |
+ |
data/mc & 0.97 $\pm$ 0.01 & 1.05 $\pm$ 0.02 & 1.05 $\pm$ 0.03 & 1.07 $\pm$ 0.04 & 1.07 $\pm$ 0.05 \\ |
| 821 |
+ |
|
| 822 |
|
\hline |
| 459 |
– |
$\mu$ + $\geq$2 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 823 |
|
\hline |
| 824 |
< |
data & 0.106 $\pm$ 0.0016 & 0.045 $\pm$ 0.0011 & 0.025 $\pm$ 0.0008 & 0.016 $\pm$ 0.0007 & 0.012 $\pm$ 0.0006 \\ |
| 462 |
< |
mc & 0.108 $\pm$ 0.0009 & 0.044 $\pm$ 0.0006 & 0.024 $\pm$ 0.0004 & 0.016 $\pm$ 0.0004 & 0.011 $\pm$ 0.0003 \\ |
| 463 |
< |
data/mc & 0.98 $\pm$ 0.02 & 1.04 $\pm$ 0.03 & 1.04 $\pm$ 0.04 & 1.04 $\pm$ 0.05 & 1.06 $\pm$ 0.06 \\ |
| 824 |
> |
$\mu$ + $\geq$2 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 825 |
|
\hline |
| 826 |
+ |
data & 0.111 $\pm$ 0.0010 & 0.048 $\pm$ 0.0007 & 0.026 $\pm$ 0.0005 & 0.018 $\pm$ 0.0004 & 0.013 $\pm$ 0.0004 \\ |
| 827 |
+ |
mc & 0.115 $\pm$ 0.0010 & 0.048 $\pm$ 0.0006 & 0.025 $\pm$ 0.0005 & 0.016 $\pm$ 0.0004 & 0.012 $\pm$ 0.0003 \\ |
| 828 |
+ |
data/mc & 0.97 $\pm$ 0.01 & 1.01 $\pm$ 0.02 & 1.04 $\pm$ 0.03 & 1.09 $\pm$ 0.04 & 1.09 $\pm$ 0.04 \\ |
| 829 |
+ |
|
| 830 |
|
\hline |
| 466 |
– |
e + $\geq$3 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 831 |
|
\hline |
| 832 |
< |
data & 0.117 $\pm$ 0.0055 & 0.051 $\pm$ 0.0038 & 0.029 $\pm$ 0.0029 & 0.018 $\pm$ 0.0023 & 0.012 $\pm$ 0.0019 \\ |
| 833 |
< |
mc & 0.120 $\pm$ 0.0031 & 0.052 $\pm$ 0.0021 & 0.027 $\pm$ 0.0015 & 0.018 $\pm$ 0.0012 & 0.013 $\pm$ 0.0011 \\ |
| 834 |
< |
data/mc & 0.97 $\pm$ 0.05 & 0.99 $\pm$ 0.08 & 1.10 $\pm$ 0.13 & 1.03 $\pm$ 0.15 & 0.91 $\pm$ 0.16 \\ |
| 832 |
> |
e + $\geq$3 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 833 |
> |
\hline |
| 834 |
> |
data & 0.123 $\pm$ 0.0031 & 0.058 $\pm$ 0.0022 & 0.034 $\pm$ 0.0017 & 0.023 $\pm$ 0.0014 & 0.017 $\pm$ 0.0012 \\ |
| 835 |
> |
mc & 0.131 $\pm$ 0.0030 & 0.055 $\pm$ 0.0020 & 0.030 $\pm$ 0.0015 & 0.020 $\pm$ 0.0013 & 0.015 $\pm$ 0.0011 \\ |
| 836 |
> |
data/mc & 0.94 $\pm$ 0.03 & 1.06 $\pm$ 0.06 & 1.14 $\pm$ 0.08 & 1.16 $\pm$ 0.10 & 1.17 $\pm$ 0.12 \\ |
| 837 |
> |
|
| 838 |
|
\hline |
| 839 |
|
\hline |
| 840 |
< |
$\mu$ + $\geq$3 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 840 |
> |
$\mu$ + $\geq$3 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 841 |
|
\hline |
| 842 |
< |
data & 0.111 $\pm$ 0.0044 & 0.050 $\pm$ 0.0030 & 0.029 $\pm$ 0.0024 & 0.019 $\pm$ 0.0019 & 0.014 $\pm$ 0.0017 \\ |
| 843 |
< |
mc & 0.115 $\pm$ 0.0025 & 0.051 $\pm$ 0.0017 & 0.030 $\pm$ 0.0013 & 0.020 $\pm$ 0.0011 & 0.015 $\pm$ 0.0009 \\ |
| 844 |
< |
data/mc & 0.97 $\pm$ 0.04 & 0.97 $\pm$ 0.07 & 0.95 $\pm$ 0.09 & 0.97 $\pm$ 0.11 & 0.99 $\pm$ 0.13 \\ |
| 842 |
> |
data & 0.121 $\pm$ 0.0025 & 0.055 $\pm$ 0.0018 & 0.033 $\pm$ 0.0014 & 0.022 $\pm$ 0.0011 & 0.017 $\pm$ 0.0010 \\ |
| 843 |
> |
mc & 0.120 $\pm$ 0.0024 & 0.052 $\pm$ 0.0016 & 0.029 $\pm$ 0.0012 & 0.019 $\pm$ 0.0010 & 0.014 $\pm$ 0.0009 \\ |
| 844 |
> |
data/mc & 1.01 $\pm$ 0.03 & 1.06 $\pm$ 0.05 & 1.14 $\pm$ 0.07 & 1.14 $\pm$ 0.08 & 1.16 $\pm$ 0.10 \\ |
| 845 |
> |
|
| 846 |
|
\hline |
| 847 |
|
\hline |
| 848 |
< |
e + $\geq$4 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 848 |
> |
e + $\geq$4 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 849 |
|
\hline |
| 850 |
< |
data & 0.113 $\pm$ 0.0148 & 0.048 $\pm$ 0.0100 & 0.033 $\pm$ 0.0083 & 0.020 $\pm$ 0.0065 & 0.017 $\pm$ 0.0062 \\ |
| 851 |
< |
mc & 0.146 $\pm$ 0.0092 & 0.064 $\pm$ 0.0064 & 0.034 $\pm$ 0.0048 & 0.024 $\pm$ 0.0040 & 0.021 $\pm$ 0.0037 \\ |
| 852 |
< |
data/mc & 0.78 $\pm$ 0.11 & 0.74 $\pm$ 0.17 & 0.96 $\pm$ 0.28 & 0.82 $\pm$ 0.30 & 0.85 $\pm$ 0.34 \\ |
| 850 |
> |
data & 0.129 $\pm$ 0.0080 & 0.070 $\pm$ 0.0061 & 0.044 $\pm$ 0.0049 & 0.031 $\pm$ 0.0042 & 0.021 $\pm$ 0.0034 \\ |
| 851 |
> |
mc & 0.132 $\pm$ 0.0075 & 0.059 $\pm$ 0.0053 & 0.035 $\pm$ 0.0041 & 0.025 $\pm$ 0.0035 & 0.017 $\pm$ 0.0029 \\ |
| 852 |
> |
data/mc & 0.98 $\pm$ 0.08 & 1.18 $\pm$ 0.15 & 1.26 $\pm$ 0.20 & 1.24 $\pm$ 0.24 & 1.18 $\pm$ 0.28 \\ |
| 853 |
> |
|
| 854 |
|
\hline |
| 855 |
|
\hline |
| 856 |
< |
$\mu$ + $\geq$4 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 856 |
> |
$\mu$ + $\geq$4 jets & $>$ 1 GeV & $>$ 2 GeV & $>$ 3 GeV & $>$ 4 GeV & $>$ 5 GeV \\ |
| 857 |
|
\hline |
| 858 |
< |
data & 0.130 $\pm$ 0.0128 & 0.052 $\pm$ 0.0085 & 0.028 $\pm$ 0.0063 & 0.019 $\pm$ 0.0052 & 0.019 $\pm$ 0.0052 \\ |
| 859 |
< |
mc & 0.105 $\pm$ 0.0064 & 0.045 $\pm$ 0.0043 & 0.027 $\pm$ 0.0034 & 0.019 $\pm$ 0.0028 & 0.014 $\pm$ 0.0024 \\ |
| 860 |
< |
data/mc & 1.23 $\pm$ 0.14 & 1.18 $\pm$ 0.22 & 1.03 $\pm$ 0.27 & 1.01 $\pm$ 0.32 & 1.37 $\pm$ 0.45 \\ |
| 858 |
> |
data & 0.136 $\pm$ 0.0067 & 0.064 $\pm$ 0.0048 & 0.041 $\pm$ 0.0039 & 0.029 $\pm$ 0.0033 & 0.024 $\pm$ 0.0030 \\ |
| 859 |
> |
mc & 0.130 $\pm$ 0.0063 & 0.065 $\pm$ 0.0046 & 0.035 $\pm$ 0.0034 & 0.020 $\pm$ 0.0026 & 0.013 $\pm$ 0.0022 \\ |
| 860 |
> |
data/mc & 1.04 $\pm$ 0.07 & 0.99 $\pm$ 0.10 & 1.19 $\pm$ 0.16 & 1.47 $\pm$ 0.25 & 1.81 $\pm$ 0.37 \\ |
| 861 |
> |
|
| 862 |
|
\hline |
| 863 |
|
\hline |
| 864 |
|
|
| 865 |
|
\end{tabular} |
| 866 |
+ |
\caption{\label{tab:isotrk} Comparison of the data vs. MC efficiencies to satisfy the indicated requirements |
| 867 |
+ |
on the absolute track isolation, and the ratio of these two efficiencies. Results are indicated separately for electrons and muons and for various |
| 868 |
+ |
jet multiplicity requirements.} |
| 869 |
|
\end{center} |
| 870 |
|
\end{table} |
| 871 |
|
|
| 872 |
+ |
\clearpage |
| 873 |
+ |
\subsection{Summary of uncertainties} |
| 874 |
+ |
\label{sec:bgunc-bottomline} |
| 875 |
+ |
|
| 876 |
+ |
The contribution from each source to the total uncertainty on the background yield is given in Tables~\ref{tab:relativeuncertaintycomponents} and~\ref{tab:uncertaintycomponents} for the relative and absolute uncertainties, respectively. In the low-\met\ regions the dominant uncertainty comes from the top tail-to-peak ratio, $R_{top}$ (Section~\ref{sec:ttp}), while in the high-\met\ regions the \ttll\ systematic uncertainty dominates (Section~\ref{sec:ttdilbkgunc}). |
| 877 |
+ |
|
| 878 |
+ |
\input{uncertainties_table.tex} |
| 879 |
+ |
|
| 880 |
+ |
|
| 881 |
+ |
|
| 882 |
|
|
| 883 |
|
|
| 884 |
|
%Figure.~\ref{fig:reliso} compares the relative track isolation |
| 931 |
|
%END SECTION TO WRITE OUT |
| 932 |
|
|
| 933 |
|
|
| 934 |
< |
{\bf fix me: What you have written in the next paragraph does not explain how $\epsilon_{fake}$ is measured. |
| 935 |
< |
Why not measure $\epsilon_{fake}$ in the b-veto region?} |
| 934 |
> |
%{\bf fix me: What you have written in the next paragraph does not |
| 935 |
> |
%explain how $\epsilon_{fake}$ is measured. |
| 936 |
> |
%Why not measure $\epsilon_{fake}$ in the b-veto region?} |
| 937 |
|
|
| 938 |
|
%A measurement of the $\epsilon_{fake}$ in data is non-trivial. However, it is |
| 939 |
|
%possible to correct for differences in the $\epsilon_{fake}$ between data and MC by |
| 961 |
|
% \end{center} |
| 962 |
|
%\end{figure} |
| 963 |
|
|
| 580 |
– |
\subsection{Summary of uncertainties} |
| 581 |
– |
\label{sec:bgunc-bottomline}. |
| 964 |
|
|
| 965 |
< |
THIS NEEDS TO BE WRITTEN |
| 965 |
> |
|
| 966 |
> |
% THIS NEEDS TO BE WRITTEN |
