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 |
30 |
< |
Section~\ref{sec:bgunc-bottomline}. |
31 |
< |
First, however, we discuss the uncertainties one-by-one and we comment |
28 |
> |
are carefully accounted for. |
29 |
> |
%%%TO ADD BACK IN IF WE HAVE SYSTEMATICS TABLE. |
30 |
> |
%The contribution to the overall |
31 |
> |
%uncertainty from each BG source is tabulated in |
32 |
> |
%Section~\ref{sec:bgunc-bottomline}. |
33 |
> |
Here we discuss the uncertainties one-by-one and comment |
34 |
|
on their impact on the overall result, at least to first order. |
35 |
|
Second order effects, such as the one described, are also included. |
36 |
|
|
39 |
|
These vary between 2\% and 20\%, depending on the signal region |
40 |
|
(different |
41 |
|
signal regions have different \met\ requirements, thus they also have |
42 |
< |
different $M_T$ regions used as control. |
42 |
> |
different $M_T$ regions used as control). |
43 |
|
Since |
44 |
< |
the major BG, eg, $t\bar{t}$ are normalized to the peak regions, this |
44 |
> |
the major backgrounds, eg, $t\bar{t}$ are normalized to the peak regions, this |
45 |
|
fractional uncertainty is pretty much carried through all the way to |
46 |
|
the end. There is also an uncertainty from the finite MC event counts |
47 |
|
in the $M_T$ peak regions. This is also included, but it is smaller. |
49 |
|
Normalizing to the $M_T$ peak has the distinct advantages that |
50 |
|
uncertainties on luminosity, cross-sections, trigger efficiency, |
51 |
|
lepton ID, cancel out. |
52 |
< |
For the low statistics regions with high \met requirements, the |
53 |
< |
price to pay in terms of event count statistical uncertainties starts |
52 |
> |
For the low statistics regions with high \met\ requirements, the |
53 |
> |
price to pay in terms of event count is that statistical uncertainties start |
54 |
|
to become significant. In the future we may consider a different |
55 |
|
normalization startegy in the low statistics regions. |
56 |
|
|
60 |
|
If the $M_T$ peak region is not well modelled, this would introduce an |
61 |
|
uncertainty. |
62 |
|
|
63 |
< |
We have tested this possibility by recalculating the post veto scale factors for a different |
63 |
> |
We have tested this possibility by recalculating the post-veto scale factors for a different |
64 |
|
choice |
65 |
|
of $M_T$ peak region ($40 < M_T < 100$ GeV instead of the default |
66 |
< |
$50 < M_T < 80$ GeV. This is shown in Table~\ref{tab:mtpeaksf2}. |
66 |
> |
$50 < M_T < 80$ GeV). This is shown in Table~\ref{tab:mtpeaksf2}. |
67 |
|
The two results for the scale factors are very compatible. |
68 |
|
We do not take any systematic uncertainty for this possible effect. |
69 |
|
|
113 |
|
\end{table} |
114 |
|
|
115 |
|
|
116 |
< |
\subsection{Uncertainty on the Wjets cross-section and the rare MC cross-sections} |
116 |
> |
\subsection{Uncertainty on the \wjets\ cross-section and the rare MC cross-sections} |
117 |
|
These are taken as 50\%, uncorrelated. |
118 |
|
The primary effect is to introduce a 50\% |
119 |
|
uncertainty |
127 |
|
scaled to the number of $t\bar{t}$ events in the peak, the $t\bar{t}$ |
128 |
|
BG goes down. |
129 |
|
|
130 |
< |
\subsection{Scale factors for the tail-to-peak ratios for lepton + |
130 |
> |
\subsection{Tail-to-peak ratios for lepton + |
131 |
|
jets top and W events} |
132 |
< |
These tail-to-peak ratios are described in Section~\ref{sec:ttp}. |
133 |
< |
They are studied in CR1 and CR2. The studies are described |
134 |
< |
in Sections~\ref{sec:cr1} and~\ref{sec:cr2}), respectively, where |
135 |
< |
we also give the uncertainty on the scale factors. See |
136 |
< |
Tables~\ref{tab:cr1yields} |
135 |
< |
and~\ref{tab:cr2yields}, scale factors $SFR_{wjet}$ and $SFR_{top})$. |
132 |
> |
The tail-to-peak ratios $R_{top}$ and $R_{wjet}$ are described in Section~\ref{sec:ttp}. |
133 |
> |
The data/MC scale factors are studied in CR1 and CR2 (Sections~\ref{sec:cr1} and~\ref{sec:cr2}). |
134 |
> |
Only the scale factor for \wjets, $SFR_{wjet}$, is used, and its uncertainty is given in Table~\ref{tab:cr1yields}). 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} |
143 |
|
dilepton MC is rescaled by the factors $K_3$ and $K_4$ to make |
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 3\% 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 |
|
|
149 |
– |
\subsection{Uncertainty on the \ttll\ Acceptance} |
156 |
|
|
157 |
< |
[CLAUDIO: WE NEED TO DISCUSS THIS A LITTLE MORE -- THEN I CAN PUT THE |
152 |
< |
WORDS IN] |
157 |
> |
\subsection{Uncertainty on the \ttll\ Acceptance} |
158 |
|
|
159 |
|
The \ttbar\ background prediction is obtained from MC, with corrections |
160 |
|
derived from control samples in data. The uncertainty associated with |
167 |
|
|
168 |
|
\begin{itemize} |
169 |
|
\item Top mass: The alternative values for the top mass differ |
170 |
< |
from the central value by $5~\GeV$: $m_{\mathrm{top}} = 178.5~\GeV$ and $m_{\mathrm{top}} |
170 |
> |
from the central value by $6~\GeV$: $m_{\mathrm{top}} = 178.5~\GeV$ and $m_{\mathrm{top}} |
171 |
|
= 166.5~\GeV$. |
172 |
|
\item Jet-parton matching scale: This corresponds to variations in the |
173 |
|
scale at which the Matrix Element partons from Madgraph are matched |
184 |
|
Tauola and is otherwise identical to the Powheg sample. |
185 |
|
This effect was studied earlier using 7~TeV samples and found to be negligible. |
186 |
|
\item The PDF uncertainty is estimated following the PDF4LHC |
187 |
< |
recommendations[CITE]. The events are reweighted using alternative |
187 |
> |
recommendations. The events are reweighted using alternative |
188 |
|
PDF sets for CT10 and MSTW2008 and the uncertainties for each are derived using the |
189 |
< |
alternative eigenvector variations and the ``master equation''. In |
190 |
< |
addition, the NNPDF2.1 set with 100 replicas. The central value is |
189 |
> |
alternative eigenvector variations and the ``master equation''. |
190 |
> |
The NNPDF2.1 set with 100 replicas is also used. The central value is |
191 |
|
determined from the mean and the uncertainty is derived from the |
192 |
|
$1\sigma$ range. The overall uncertainty is derived from the envelope of the |
193 |
|
alternative predictions and their uncertainties. |
194 |
|
This effect was studied earlier using 7~TeV samples and found to be negligible. |
195 |
|
\end{itemize} |
196 |
|
|
197 |
< |
|
198 |
< |
\begin{table}[!h] |
199 |
< |
\begin{center} |
200 |
< |
{\footnotesize |
201 |
< |
\begin{tabular}{l||c||c|c|c|c|c|c|c} |
202 |
< |
\hline |
203 |
< |
Sample & Powheg & Madgraph & Mass Up & Mass Down & Scale Up & Scale Down & |
204 |
< |
Match Up & Match Down \\ |
205 |
< |
\hline |
206 |
< |
\hline |
207 |
< |
SRA & $579 \pm 10$ & $569 \pm 16$ & $591 \pm 18$ & $610 \pm 22$ & $651 \pm 22$ & $537 \pm 16$ & $578 \pm 18$ & $570 \pm 17$ \\ |
208 |
< |
\hline |
209 |
< |
SRB & $328 \pm 7$ & $307 \pm 11$ & $329 \pm 13$ & $348 \pm 15$ & $344 \pm 15$ & $287 \pm 10$ & $313 \pm 13$ & $307 \pm 12$ \\ |
210 |
< |
\hline |
211 |
< |
SRC & $111 \pm 4$ & $99 \pm 5$ & $107 \pm 7$ & $113 \pm 8$ & $124 \pm 8$ & $95 \pm 6$ & $93 \pm 6$ & $106 \pm 6$ \\ |
212 |
< |
\hline |
213 |
< |
SRD & $39 \pm 2$ & $35 \pm 3$ & $41 \pm 4$ & $41 \pm 5$ & $47 \pm 5$ & $33 \pm 3$ & $31 \pm 3$ & $39 \pm 4$ \\ |
214 |
< |
\hline |
215 |
< |
SRE & $14 \pm 1$ & $15 \pm 2$ & $17 \pm 3$ & $12 \pm 3$ & $15 \pm 3$ & $13 \pm 2$ & $12 \pm 2$ & $16 \pm 2$ \\ |
211 |
< |
\hline |
212 |
< |
\end{tabular}} |
213 |
< |
\caption{ \ttdl\ predictions for alternative MC samples. The uncertainties are statistical only. |
214 |
< |
\label{tab:ttdlalt}} |
215 |
< |
\end{center} |
216 |
< |
\end{table} |
197 |
> |
\begin{figure}[hbt] |
198 |
> |
\begin{center} |
199 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRA.pdf}% |
200 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRB.pdf} |
201 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRC.pdf}% |
202 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRD.pdf} |
203 |
> |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRE.pdf} |
204 |
> |
\caption{ |
205 |
> |
\label{fig:ttllsyst}\protect |
206 |
> |
Comparison of the \ttll\ central prediction with those using |
207 |
> |
alternative MC samples. The blue band corresponds to the |
208 |
> |
total statistical error for all data and MC samples. The |
209 |
> |
alternative sample predictions are indicated by the |
210 |
> |
datapoints. The uncertainties on the alternative predictions |
211 |
> |
correspond to the uncorrelated statistical uncertainty from |
212 |
> |
the size of the alternative sample only. Note the |
213 |
> |
suppressed vertical scales.} |
214 |
> |
\end{center} |
215 |
> |
\end{figure} |
216 |
|
|
217 |
|
|
218 |
|
\begin{table}[!h] |
228 |
|
\hline |
229 |
|
SRB & $6$ & $0$ & $6$ & $5$ & $12$ & $5$ & $6$ \\ |
230 |
|
\hline |
231 |
< |
SRC & $10$ & $3$ & $2$ & $12$ & $14$ & $16$ & $4$ \\ |
232 |
< |
\hline |
233 |
< |
SRD & $10$ & $6$ & $6$ & $21$ & $15$ & $19$ & $0$ \\ |
234 |
< |
\hline |
235 |
< |
SRE & $6$ & $17$ & $15$ & $2$ & $12$ & $17$ & $8$ \\ |
231 |
> |
% SRC & $10$ & $3$ & $2$ & $12$ & $14$ & $16$ & $4$ \\ |
232 |
> |
% \hline |
233 |
> |
% SRD & $10$ & $6$ & $6$ & $21$ & $15$ & $19$ & $0$ \\ |
234 |
> |
% \hline |
235 |
> |
% SRE & $6$ & $17$ & $15$ & $2$ & $12$ & $17$ & $8$ \\ |
236 |
|
\hline |
237 |
|
\end{tabular}} |
238 |
< |
\caption{ Relative difference in \ttdl\ predictions for alternative MC samples. |
238 |
> |
\caption{ Relative difference in \ttdl\ predictions for alternative MC |
239 |
> |
samples in |
240 |
> |
the higher statistics regions SRA and SRB. These differences |
241 |
> |
are based on the central values of the predictions. For a fuller |
242 |
> |
picture |
243 |
> |
of the situation, including statistical uncertainites, see Fig.~\ref{fig:ttllsyst}. |
244 |
|
\label{tab:fracdiff}} |
245 |
|
\end{center} |
246 |
|
\end{table} |
247 |
|
|
248 |
|
|
249 |
< |
\begin{table}[!h] |
250 |
< |
\begin{center} |
251 |
< |
{\footnotesize |
248 |
< |
\begin{tabular}{l||c|c|c|c|c|c|c} |
249 |
< |
\hline |
250 |
< |
$N \sigma$ & Madgraph & Mass Up & Mass Down & Scale Up & Scale Down & |
251 |
< |
Match Up & Match Down \\ |
252 |
< |
\hline |
253 |
< |
\hline |
254 |
< |
SRA & $0.38$ & $0.42$ & $1.02$ & $2.34$ & $1.58$ & $0.01$ & $0.33$ \\ |
255 |
< |
\hline |
256 |
< |
SRB & $1.17$ & $0.07$ & $0.98$ & $0.76$ & $2.29$ & $0.78$ & $1.11$ \\ |
257 |
< |
\hline |
258 |
< |
SRC & $1.33$ & $0.37$ & $0.26$ & $1.24$ & $1.82$ & $1.97$ & $0.54$ \\ |
259 |
< |
\hline |
260 |
< |
SRD & $0.82$ & $0.46$ & $0.38$ & $1.32$ & $1.27$ & $1.47$ & $0.00$ \\ |
261 |
< |
\hline |
262 |
< |
SRE & $0.32$ & $0.75$ & $0.66$ & $0.07$ & $0.66$ & $0.83$ & $0.38$ \\ |
263 |
< |
\hline |
264 |
< |
\end{tabular}} |
265 |
< |
\caption{ N $\sigma$ difference in \ttdl\ predictions for alternative MC samples. |
266 |
< |
\label{tab:nsig}} |
267 |
< |
\end{center} |
268 |
< |
\end{table} |
249 |
> |
In Fig.~\ref{fig:ttllsyst} we compare the alternate MC \ttll\ background predictions |
250 |
> |
for regions A through E. We can make the following observations based |
251 |
> |
on this Figure. |
252 |
|
|
253 |
+ |
\begin{itemize} |
254 |
+ |
\item In the tighter signal regions we are running out of |
255 |
+ |
statistics. |
256 |
+ |
\item Within the limited statistics, there is no evidence that the |
257 |
+ |
situation changes as we go from signal region A to signal region E. |
258 |
+ |
Therefore, we assess a systematic based on the relatively high |
259 |
+ |
statistics |
260 |
+ |
test in signal region A, and apply the same systematic uncertainty |
261 |
+ |
to all other regions. |
262 |
+ |
\item In order to fully (as opposed as 1$\sigma$) cover the |
263 |
+ |
alternative MC variations in region A we would have to take a |
264 |
+ |
systematic |
265 |
+ |
uncertainty of $\approx 10\%$. This would be driven by the |
266 |
+ |
scale up/scale down variations, see Table~\ref{tab:fracdiff}. |
267 |
+ |
\end{itemize} |
268 |
|
|
269 |
< |
\begin{table}[!h] |
269 |
> |
\begin{table}[!ht] |
270 |
|
\begin{center} |
271 |
< |
\begin{tabular}{l||c|c|c|c} |
274 |
< |
\hline |
275 |
< |
Av. $\Delta$ Evt. & Alt. Gen. & $\Delta$ Mass & $\Delta$ Scale |
276 |
< |
& $\Delta$ Match \\ |
271 |
> |
\begin{tabular}{l|c|c} |
272 |
|
\hline |
273 |
+ |
Sample |
274 |
+ |
& K3 & K4\\ |
275 |
|
\hline |
279 |
– |
SRA & $5.0$ ($1\%$) & $9.6$ ($2\%$) & $56.8$ ($10\%$) & $4.4$ ($1\%$) \\ |
276 |
|
\hline |
277 |
< |
SRB & $10.4$ ($3\%$) & $9.6$ ($3\%$) & $28.2$ ($9\%$) & $2.8$ ($1\%$) \\ |
278 |
< |
\hline |
279 |
< |
SRC & $5.7$ ($5\%$) & $3.1$ ($3\%$) & $14.5$ ($13\%$) & $6.4$ ($6\%$) \\ |
280 |
< |
\hline |
281 |
< |
SRD & $1.9$ ($5\%$) & $0.1$ ($0\%$) & $6.9$ ($18\%$) & $3.6$ ($9\%$) \\ |
282 |
< |
\hline |
283 |
< |
SRE & $0.5$ ($3\%$) & $2.3$ ($16\%$) & $1.0$ ($7\%$) & $1.8$ ($12\%$) \\ |
277 |
> |
Powheg & $1.01 \pm 0.03$ & $0.93 \pm 0.04$ \\ |
278 |
> |
Madgraph & $1.01 \pm 0.04$ & $0.92 \pm 0.04$ \\ |
279 |
> |
Mass Up & $1.00 \pm 0.04$ & $0.92 \pm 0.04$ \\ |
280 |
> |
Mass Down & $1.06 \pm 0.04$ & $0.99 \pm 0.05$ \\ |
281 |
> |
Scale Up & $1.14 \pm 0.04$ & $1.23 \pm 0.06$ \\ |
282 |
> |
Scale Down & $0.89 \pm 0.03$ & $0.74 \pm 0.03$ \\ |
283 |
> |
Match Up & $1.02 \pm 0.04$ & $0.97 \pm 0.04$ \\ |
284 |
> |
Match Down & $1.02 \pm 0.04$ & $0.91 \pm 0.04$ \\ |
285 |
|
\hline |
286 |
|
\end{tabular} |
287 |
< |
\caption{ Av. difference in \ttdl\ events for alternative sample pairs. |
288 |
< |
\label{tab:devt}} |
287 |
> |
\caption{$\met>100$ GeV: Data/MC scale factors used to account for differences in the |
288 |
> |
fraction of events with additional hard jets from radiation in |
289 |
> |
\ttll\ events. \label{tab:njetskfactors_met100}} |
290 |
|
\end{center} |
291 |
|
\end{table} |
292 |
|
|
293 |
|
|
294 |
+ |
However, we have two pieces of information indicating that the |
295 |
+ |
scale up/scale down variations are inconsistent with the data. |
296 |
+ |
These are described below. |
297 |
+ |
|
298 |
+ |
The first piece of information is that the jet multiplicity in the scale |
299 |
+ |
up/scale down sample is the most inconsistent with the data. This is shown |
300 |
+ |
in Table~\ref{tab:njetskfactors_met100}, where we tabulate the |
301 |
+ |
$K_3$ and $K_4$ factors of Section~\ref{sec:jetmultiplicity} for |
302 |
+ |
different \ttbar\ MC samples. The data/MC disagreement in the $N_{jets}$ |
303 |
+ |
distribution |
304 |
+ |
for the scale up/scale down samples is also shown in Fig.~\ref{fig:dileptonnjets_scaleup} |
305 |
+ |
and~\ref{fig:dileptonnjets_scaledw}. This should be compared with the |
306 |
+ |
equivalent $N_{jets}$ plots for the default Powheg MC, see |
307 |
+ |
Fig.~\ref{fig:dileptonnjets}, which agrees much better with data. |
308 |
+ |
|
309 |
|
\begin{figure}[hbt] |
310 |
|
\begin{center} |
311 |
< |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRA.pdf}% |
312 |
< |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRB.pdf} |
313 |
< |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRC.pdf}% |
314 |
< |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRD.pdf} |
315 |
< |
\includegraphics[width=0.5\linewidth]{plots/n_dl_comp_SRE.pdf} |
316 |
< |
\caption{ |
317 |
< |
\label{fig:ttllsyst}\protect |
305 |
< |
Comparison of the \ttll\ central prediction with those using |
306 |
< |
alternative MC samples. The blue band corresponds to the |
307 |
< |
total statistical error for all data and MC samples. The |
308 |
< |
alternative sample predictions are indicated by the |
309 |
< |
datapoints. The uncertainties on the alternative predictions |
310 |
< |
correspond to the uncorrelated statistical uncertainty from |
311 |
< |
the size of the alternative sample only. |
312 |
< |
[TO BE UPDATED WITH THE LATEST SELECTION AND SFS]} |
311 |
> |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_mueg_scaleup.pdf} |
312 |
> |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_diel_scaleup.pdf}% |
313 |
> |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_dimu_scaleup.pdf} |
314 |
> |
\caption{ |
315 |
> |
\label{fig:dileptonnjets_scaleup}%\protect |
316 |
> |
SCALE UP: Comparison of the jet multiplicity distribution in data and MC for dilepton events in the \E-\M\ |
317 |
> |
(top), \E-\E\ (bottom left) and \M-\M\ (bottom right) channels.} |
318 |
|
\end{center} |
319 |
< |
\end{figure} |
319 |
> |
\end{figure} |
320 |
> |
|
321 |
> |
\begin{figure}[hbt] |
322 |
> |
\begin{center} |
323 |
> |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_mueg_scaledw.pdf} |
324 |
> |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_diel_scaledw.pdf}% |
325 |
> |
\includegraphics[width=0.5\linewidth]{plots/njets_all_met50_dimu_scaledw.pdf} |
326 |
> |
\caption{ |
327 |
> |
\label{fig:dileptonnjets_scaledw}%\protect |
328 |
> |
SCALE DOWN: Comparison of the jet multiplicity distribution in data and MC for dilepton events in the \E-\M\ |
329 |
> |
(top), \E-\E\ (bottom left) and \M-\M\ (bottom right) channels.} |
330 |
> |
\end{center} |
331 |
> |
\end{figure} |
332 |
> |
|
333 |
> |
|
334 |
> |
\clearpage |
335 |
> |
|
336 |
> |
The second piece of information is that we have performed closure |
337 |
> |
tests in CR5 using the alternative MC samples. These are exactly |
338 |
> |
the same tests as the one performed in Section~\ref{sec:CR5} on the |
339 |
> |
Powheg sample. As we argued previously, this is a very powerful |
340 |
> |
test of the background calculation. |
341 |
> |
The results of this test are summarized in Table~\ref{tab:hugecr5yields}. |
342 |
> |
Concentrating on the relatively high statistics CR5A region, we see |
343 |
> |
for all \ttbar\ MC samples except scale up/scale down we obtain |
344 |
> |
closure within 1$\sigma$. The scale up/scale down tests closes |
345 |
> |
worse, only within 2$\sigma$. This again is evidence that the |
346 |
> |
scale up/scale down variations are in disagreement with the data. |
347 |
> |
|
348 |
> |
\input{hugeCR5Table.tex} |
349 |
> |
|
350 |
> |
Based on the two observations above, we argue that the MC |
351 |
> |
scale up/scale down variations are too extreme. We feel that |
352 |
> |
a reasonable choice would be to take one-half of the scale up/scale |
353 |
> |
down variations in our MC. This factor of 1/2 would then bring |
354 |
> |
the discrepancy in the closure test of |
355 |
> |
Table~\ref{tab:hugecr5yields} for the scale up/scale down variations |
356 |
> |
from about 2$\sigma$ to about 1$\sigma$. |
357 |
> |
|
358 |
> |
Then, going back to Table~\ref{tab:fracdiff}, and reducing the scale |
359 |
> |
up/scale |
360 |
> |
down variations by a factor 2, we can see that a systematic |
361 |
> |
uncertainty |
362 |
> |
of 6\% would fully cover all of the variations from different MC |
363 |
> |
samples in SRA and SRB. |
364 |
> |
{\bf Thus, we take a 6\% systematic uncertainty, constant as a |
365 |
> |
function of signal region, as the systematic due to alternative MC |
366 |
> |
models.} |
367 |
> |
Note that this 6\% is also consistent with the level at which we are |
368 |
> |
able |
369 |
> |
to test the closure of the method in CR5 for the high statistics |
370 |
> |
regions |
371 |
> |
(Table~\ref{tab:hugecr5yields}). |
372 |
> |
|
373 |
> |
|
374 |
> |
|
375 |
> |
|
376 |
> |
|
377 |
> |
|
378 |
> |
%\begin{table}[!h] |
379 |
> |
%\begin{center} |
380 |
> |
%{\footnotesize |
381 |
> |
%\begin{tabular}{l||c||c|c|c|c|c|c|c} |
382 |
> |
%\hline |
383 |
> |
%Sample & Powheg & Madgraph & Mass Up & Mass Down & Scale |
384 |
> |
%Up & Scale Down & |
385 |
> |
%Match Up & Match Down \\ |
386 |
> |
%\hline |
387 |
> |
%\hline |
388 |
> |
%SRA & $579 \pm 10$ & $569 \pm 16$ & $591 \pm 18$ & $610 \pm 22$ & $651 \pm 22$ & $537 \pm 16$ & $578 \pm 18$ & $570 \pm 17$ \\ |
389 |
> |
%\hline |
390 |
> |
%SRB & $328 \pm 7$ & $307 \pm 11$ & $329 \pm 13$ & $348 \pm 15$ & $344 \pm 15$ & $287 \pm 10$ & $313 \pm 13$ & $307 \pm 12$ \\ |
391 |
> |
%\hline |
392 |
> |
%SRC & $111 \pm 4$ & $99 \pm 5$ & $107 \pm 7$ & $113 \pm 8$ & $124 \pm 8$ & $95 \pm 6$ & $93 \pm 6$ & $106 \pm 6$ \\ |
393 |
> |
%\hline |
394 |
> |
%SRD & $39 \pm 2$ & $35 \pm 3$ & $41 \pm 4$ & $41 \pm 5$ & $47 \pm 5$ & $33 \pm 3$ & $31 \pm 3$ & $39 \pm 4$ \\ |
395 |
> |
%\hline |
396 |
> |
%SRE & $14 \pm 1$ & $15 \pm 2$ & $17 \pm 3$ & $12 \pm 3$ & $15 \pm 3$ & $13 \pm 2$ & $12 \pm 2$ & $16 \pm 2$ \\ |
397 |
> |
%\hline |
398 |
> |
%\end{tabular}} |
399 |
> |
%\caption{ \ttdl\ predictions for alternative MC samples. The uncertainties are statistical only. |
400 |
> |
%\label{tab:ttdlalt}} |
401 |
> |
%\end{center} |
402 |
> |
%\end{table} |
403 |
> |
|
404 |
> |
|
405 |
> |
|
406 |
> |
|
407 |
> |
%\begin{table}[!h] |
408 |
> |
%\begin{center} |
409 |
> |
%{\footnotesize |
410 |
> |
%\begin{tabular}{l||c|c|c|c|c|c|c} |
411 |
> |
%\hline |
412 |
> |
%$N \sigma$ & Madgraph & Mass Up & Mass Down & Scale Up & Scale Down & |
413 |
> |
%Match Up & Match Down \\ |
414 |
> |
%\hline |
415 |
> |
%\hline |
416 |
> |
%SRA & $0.38$ & $0.42$ & $1.02$ & $2.34$ & $1.58$ & $0.01$ & $0.33$ \\ |
417 |
> |
%\hline |
418 |
> |
%SRB & $1.17$ & $0.07$ & $0.98$ & $0.76$ & $2.29$ & $0.78$ & $1.11$ \\ |
419 |
> |
%\hline |
420 |
> |
%SRC & $1.33$ & $0.37$ & $0.26$ & $1.24$ & $1.82$ & $1.97$ & $0.54$ \\ |
421 |
> |
%\hline |
422 |
> |
%SRD & $0.82$ & $0.46$ & $0.38$ & $1.32$ & $1.27$ & $1.47$ & $0.00$ \\ |
423 |
> |
%\hline |
424 |
> |
%SRE & $0.32$ & $0.75$ & $0.66$ & $0.07$ & $0.66$ & $0.83$ & $0.38$ \\ |
425 |
> |
%\hline |
426 |
> |
%\end{tabular}} |
427 |
> |
%\caption{ N $\sigma$ difference in \ttdl\ predictions for alternative MC samples. |
428 |
> |
%\label{tab:nsig}} |
429 |
> |
%\end{center} |
430 |
> |
%\end{table} |
431 |
> |
|
432 |
> |
|
433 |
> |
%\begin{table}[!h] |
434 |
> |
%\begin{center} |
435 |
> |
%\begin{tabular}{l||c|c|c|c} |
436 |
> |
%\hline |
437 |
> |
%Av. $\Delta$ Evt. & Alt. Gen. & $\Delta$ Mass & $\Delta$ Scale |
438 |
> |
%& $\Delta$ Match \\ |
439 |
> |
%\hline |
440 |
> |
%\hline |
441 |
> |
%SRA & $5.0$ ($1\%$) & $9.6$ ($2\%$) & $56.8$ ($10\%$) & $4.4$ ($1\%$) \\ |
442 |
> |
%\hline |
443 |
> |
%SRB & $10.4$ ($3\%$) & $9.6$ ($3\%$) & $28.2$ ($9\%$) & $2.8$ ($1\%$) \\ |
444 |
> |
%\hline |
445 |
> |
%SRC & $5.7$ ($5\%$) & $3.1$ ($3\%$) & $14.5$ ($13\%$) & $6.4$ ($6\%$) \\ |
446 |
> |
%\hline |
447 |
> |
%SRD & $1.9$ ($5\%$) & $0.1$ ($0\%$) & $6.9$ ($18\%$) & $3.6$ ($9\%$) \\ |
448 |
> |
%\hline |
449 |
> |
%SRE & $0.5$ ($3\%$) & $2.3$ ($16\%$) & $1.0$ ($7\%$) & $1.8$ ($12\%$) \\ |
450 |
> |
%\hline |
451 |
> |
%\end{tabular} |
452 |
> |
%\caption{ Av. difference in \ttdl\ events for alternative sample pairs. |
453 |
> |
%\label{tab:devt}} |
454 |
> |
%\end{center} |
455 |
> |
%\end{table} |
456 |
> |
|
457 |
> |
|
458 |
|
|
459 |
|
\clearpage |
460 |
|
|
600 |
|
$P_T > 10$ GeV in $|\eta| < 2.4$. This fraction is about 1/3, see |
601 |
|
Table~\ref{tab:trueisotrk}. |
602 |
|
The uncertainty for these events |
603 |
< |
is 6\% and is obtained from Tag and Probe studies of Section~\ref{sec:trkveto} |
603 |
> |
is 6\% and is obtained from tag-and-probe studies, see Section~\ref{sec:trkveto}. |
604 |
|
|
605 |
|
\begin{table}[!h] |
606 |
|
\begin{center} |
649 |
|
Second, hadronic tracks may undergo nuclear interactions and hence their tracks may not be reconstructed. |
650 |
|
As discussed above, independent studies show that the MC reproduces the hadronic tracking efficiency within 4\%, |
651 |
|
leading to a total background uncertainty of less than 0.5\% (after taking into account the fraction of the total background |
652 |
< |
due to hadronic $\tau$ decays with \pt\ $>$ 10 GeV tracks), and we hence regard this effect as neglgigible. |
652 |
> |
due to hadronic $\tau$ decays with \pt\ $>$ 10 GeV tracks), and we hence regard this effect as negligible. |
653 |
|
|
654 |
|
The tag-and-probe studies are performed in the full data sample, and compared with the DYJets madgraph sample. |
655 |
|
All events must contain a tag-probe pair (details below) with opposite-sign and satisfying the Z mass requirement 76--106 GeV. |
706 |
|
The absolute track isolation distributions for passing probes are displayed in Fig.~\ref{fig:tnp}. In general we observe |
707 |
|
good agreement between data and MC. To be more quantitative, we compare the data vs. MC efficiencies to satisfy |
708 |
|
absolute track isolation requirements varying from $>$ 1 GeV to $>$ 5 GeV, as summarized in Table~\ref{tab:isotrk}. |
709 |
< |
In the $\geq$0 and $\geq$1 jet bins where the efficiencies can be tested with statistical precision, the data and MC |
709 |
> |
In the $\geq 0$ and $\geq 1$ jet bins where the efficiencies can be tested with statistical precision, the data and MC |
710 |
|
efficiencies agree within 6\%, and we apply this as a systematic uncertainty on the isolated track veto efficiency. |
711 |
|
For the higher jet multiplicity bins the statistical precision decreases, but we do not observe any evidence for |
712 |
|
a data vs. MC discrepancy in the isolated track veto efficiency. |
739 |
|
|
740 |
|
\begin{table}[!ht] |
741 |
|
\begin{center} |
599 |
– |
\caption{\label{tab:isotrk} Comparison of the data vs. MC efficiencies to satisfy the indicated requirements |
600 |
– |
on the absolute track isolation, and the ratio of these two efficiencies. Results are indicated separately for electrons and muons and for various |
601 |
– |
jet multiplicity requirements.} |
742 |
|
\begin{tabular}{l|c|c|c|c|c} |
743 |
|
|
744 |
|
%Electrons: |
836 |
|
\hline |
837 |
|
|
838 |
|
\end{tabular} |
839 |
+ |
\caption{\label{tab:isotrk} Comparison of the data vs. MC efficiencies to satisfy the indicated requirements |
840 |
+ |
on the absolute track isolation, and the ratio of these two efficiencies. Results are indicated separately for electrons and muons and for various |
841 |
+ |
jet multiplicity requirements.} |
842 |
|
\end{center} |
843 |
|
\end{table} |
844 |
|
|
923 |
|
% \end{center} |
924 |
|
%\end{figure} |
925 |
|
|
926 |
< |
\subsection{Summary of uncertainties} |
927 |
< |
\label{sec:bgunc-bottomline}. |
926 |
> |
% \subsection{Summary of uncertainties} |
927 |
> |
% \label{sec:bgunc-bottomline}. |
928 |
|
|
929 |
< |
THIS NEEDS TO BE WRITTEN |
929 |
> |
% THIS NEEDS TO BE WRITTEN |