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 |
|
|
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. |
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 statistical uncertainties starts |
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 |
|
|
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 |
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}. |
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 |
|
|
111 |
|
\end{table} |
112 |
|
|
113 |
|
|
114 |
< |
\subsection{Uncertainty on the Wjets cross-section and the rare MC cross-sections} |
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. See |
134 |
< |
Tables~\ref{tab:cr1yields} |
135 |
< |
and~\ref{tab:cr2yields}, scale factors $SFR_{wjet}$ and $SFR_{top})$. |
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 uncertainty is given in Table~\ref{tab:cr1yields}). This uncertainty affects both $R_{wjet}$ and $R_{top}$. |
133 |
> |
The additional systematic uncertainty on $R_{top}$ from the variation between optimistic and pessimistic scenarios is given in Section~\ref{sec:ttp}. |
134 |
> |
|
135 |
|
|
136 |
|
\subsection{Uncertainty on extra jet radiation for dilepton |
137 |
|
background} |
141 |
|
dilepton MC is rescaled by the factors $K_3$ and $K_4$ to make |
142 |
|
it agree with the data. The 3\% uncertainties on $K_3$ and $K_4$ |
143 |
|
comes from data/MC statistics. This |
144 |
< |
result directly in a 3\% uncertainty on the dilepton BG, which is by far |
144 |
> |
results directly in a 3\% uncertainty on the dilepton background, which is by far |
145 |
|
the most important one. |
146 |
|
|
147 |
|
\subsection{Uncertainty from MC statistics} |
152 |
|
15\% in SRG. |
153 |
|
|
154 |
|
|
155 |
< |
\subsection{Uncertainty on the \ttll\ Acceptance} |
156 |
< |
|
155 |
> |
\subsection{Uncertainty on the \ttll\ Background} |
156 |
> |
\label{sec:ttdilbkgunc} |
157 |
|
The \ttbar\ background prediction is obtained from MC, with corrections |
158 |
|
derived from control samples in data. The uncertainty associated with |
159 |
< |
the theoretical modeling of the \ttbar\ production and decay is |
160 |
< |
estimated by comparing the background predictions obtained using |
159 |
> |
the \ttbar\ background is derived from the level of closure of the |
160 |
> |
background prediction in CR4 (Table~\ref{tab:cr4yields}) and |
161 |
> |
CR5 (Table~\ref{tab:cr5yields}). The results from these control region |
162 |
> |
checks are shown in Figure~\ref{fig:ttdlunc}. The uncertainties assigned |
163 |
> |
to the \ttdl\ background prediction based on these tests are |
164 |
> |
5\% (SRA), 10\% (SRB), 15\% (SRC), 25\% (SRD), 40\% (SRE-G). |
165 |
> |
|
166 |
> |
\begin{figure}[hbt] |
167 |
> |
\begin{center} |
168 |
> |
\includegraphics[width=0.6\linewidth]{plots/ttdilepton_uncertainty.pdf} |
169 |
> |
\caption{ |
170 |
> |
\label{fig:ttdlunc}%\protect |
171 |
> |
Results of the comparison of yields in the \mt\ tail comparing the MC prediction (after |
172 |
> |
applying SFs) to data for CR4 and CR5 for all the signal |
173 |
> |
region requirements considered (A-G). The bands indicate the |
174 |
> |
systematic uncertainties assigned based on these tests, |
175 |
> |
ranging from $5\%$ for SRA to $40\%$ for SRE-G.} |
176 |
> |
\end{center} |
177 |
> |
\end{figure} |
178 |
> |
|
179 |
> |
|
180 |
> |
\subsubsection{Check of the uncertainty on the \ttll\ Background} |
181 |
> |
|
182 |
> |
We check that the systematic uncertainty assigned to the \ttll\ background prediction |
183 |
> |
covers the uncertainty associated with |
184 |
> |
the theoretical modeling of the \ttbar\ production and decay |
185 |
> |
by comparing the background predictions obtained using |
186 |
|
alternative MC samples. It should be noted that the full analysis is |
187 |
|
performed with the alternative samples under consideration, |
188 |
|
including the derivation of the various data-to-MC scale factors. |
190 |
|
|
191 |
|
\begin{itemize} |
192 |
|
\item Top mass: The alternative values for the top mass differ |
193 |
< |
from the central value by $5~\GeV$: $m_{\mathrm{top}} = 178.5~\GeV$ and $m_{\mathrm{top}} |
193 |
> |
from the central value by $6~\GeV$: $m_{\mathrm{top}} = 178.5~\GeV$ and $m_{\mathrm{top}} |
194 |
|
= 166.5~\GeV$. |
195 |
|
\item Jet-parton matching scale: This corresponds to variations in the |
196 |
|
scale at which the Matrix Element partons from Madgraph are matched |
207 |
|
Tauola and is otherwise identical to the Powheg sample. |
208 |
|
This effect was studied earlier using 7~TeV samples and found to be negligible. |
209 |
|
\item The PDF uncertainty is estimated following the PDF4LHC |
210 |
< |
recommendations[CITE]. The events are reweighted using alternative |
210 |
> |
recommendations. The events are reweighted using alternative |
211 |
|
PDF sets for CT10 and MSTW2008 and the uncertainties for each are derived using the |
212 |
< |
alternative eigenvector variations and the ``master equation''. In |
213 |
< |
addition, the NNPDF2.1 set with 100 replicas. The central value is |
212 |
> |
alternative eigenvector variations and the ``master equation''. |
213 |
> |
The NNPDF2.1 set with 100 replicas is also used. The central value is |
214 |
|
determined from the mean and the uncertainty is derived from the |
215 |
|
$1\sigma$ range. The overall uncertainty is derived from the envelope of the |
216 |
|
alternative predictions and their uncertainties. |
278 |
|
statistics. |
279 |
|
\item Within the limited statistics, there is no evidence that the |
280 |
|
situation changes as we go from signal region A to signal region E. |
281 |
< |
Therefore, we assess a systematic based on the relatively high |
282 |
< |
statistics |
283 |
< |
test in signal region A, and apply the same systematic uncertainty |
284 |
< |
to all other regions. |
281 |
> |
%Therefore, we assess a systematic based on the relatively high |
282 |
> |
%statistics |
283 |
> |
%test in signal region A, and apply the same systematic uncertainty |
284 |
> |
%to all other regions. |
285 |
> |
\item In signal regions B and above, the uncertainties assigned in Section~\ref{sec:ttdilbkgunc} |
286 |
> |
fully cover the alternative MC variations. |
287 |
|
\item In order to fully (as opposed as 1$\sigma$) cover the |
288 |
|
alternative MC variations in region A we would have to take a |
289 |
|
systematic |
290 |
< |
uncertainty of $\approx 10\%$. This would be driven by the |
290 |
> |
uncertainty of $\approx 10\%$ instead of $5\%$. This would be driven by the |
291 |
|
scale up/scale down variations, see Table~\ref{tab:fracdiff}. |
292 |
|
\end{itemize} |
293 |
|
|
321 |
|
These are described below. |
322 |
|
|
323 |
|
The first piece of information is that the jet multiplicity in the scale |
324 |
< |
up/scale down sample is the most inconsistent with the data. This can be shown |
324 |
> |
up/scale down sample is the most inconsistent with the data. This is shown |
325 |
|
in Table~\ref{tab:njetskfactors_met100}, where we tabulate the |
326 |
< |
$K_3$ and $K_4$ factors of Section~\ref{tab:njetskfactors_met100} for |
326 |
> |
$K_3$ and $K_4$ factors of Section~\ref{sec:jetmultiplicity} for |
327 |
|
different \ttbar\ MC samples. The data/MC disagreement in the $N_{jets}$ |
328 |
|
distribution |
329 |
|
for the scale up/scale down samples is also shown in Fig.~\ref{fig:dileptonnjets_scaleup} |
384 |
|
up/scale |
385 |
|
down variations by a factor 2, we can see that a systematic |
386 |
|
uncertainty |
387 |
< |
of 6\% would fully cover all of the variations from different MC |
388 |
< |
samples in SRA and SRB. |
389 |
< |
{\bf Thus, we take a 6\% systematic uncertainty, constant as a |
390 |
< |
function of signal region, as the systematic due to alternative MC |
391 |
< |
models.}. |
392 |
< |
Note that this 6\% is also consistent with the level at which we are |
393 |
< |
able |
394 |
< |
to test the closure of the method in CR5 for the high statistics |
395 |
< |
regions |
396 |
< |
(Table~\ref{tab:hugecr5yields}). |
397 |
< |
|
387 |
> |
of 5\% covers the range of reasonable variations from different MC |
388 |
> |
models in SRA and SRB. |
389 |
> |
%The alternative MC models indicate that a 6\% systematic uncertainty |
390 |
> |
%covers the range of reasonable variations. |
391 |
> |
Note that this 5\% is also consistent with the level at which we are |
392 |
> |
able to test the closure of the method with alternative samples in CR5 for the high statistics |
393 |
> |
regions (Table~\ref{tab:hugecr5yields}). |
394 |
> |
The range of reasonable variations obtained with the alternative |
395 |
> |
samples are consistent with the uncertainties assigned for |
396 |
> |
the \ttll\ background based on the closure of the background |
397 |
> |
predictions and data in CR4 and CR5. |
398 |
|
|
399 |
|
|
400 |
|
|
625 |
|
$P_T > 10$ GeV in $|\eta| < 2.4$. This fraction is about 1/3, see |
626 |
|
Table~\ref{tab:trueisotrk}. |
627 |
|
The uncertainty for these events |
628 |
< |
is 6\% and is obtained from Tag and Probe studies of Section~\ref{sec:trkveto} |
628 |
> |
is 6\% and is obtained from tag-and-probe studies, see Section~\ref{sec:trkveto}. |
629 |
|
|
630 |
|
\begin{table}[!h] |
631 |
|
\begin{center} |
674 |
|
Second, hadronic tracks may undergo nuclear interactions and hence their tracks may not be reconstructed. |
675 |
|
As discussed above, independent studies show that the MC reproduces the hadronic tracking efficiency within 4\%, |
676 |
|
leading to a total background uncertainty of less than 0.5\% (after taking into account the fraction of the total background |
677 |
< |
due to hadronic $\tau$ decays with \pt\ $>$ 10 GeV tracks), and we hence regard this effect as neglgigible. |
677 |
> |
due to hadronic $\tau$ decays with \pt\ $>$ 10 GeV tracks), and we hence regard this effect as negligible. |
678 |
|
|
679 |
|
The tag-and-probe studies are performed in the full data sample, and compared with the DYJets madgraph sample. |
680 |
|
All events must contain a tag-probe pair (details below) with opposite-sign and satisfying the Z mass requirement 76--106 GeV. |
731 |
|
The absolute track isolation distributions for passing probes are displayed in Fig.~\ref{fig:tnp}. In general we observe |
732 |
|
good agreement between data and MC. To be more quantitative, we compare the data vs. MC efficiencies to satisfy |
733 |
|
absolute track isolation requirements varying from $>$ 1 GeV to $>$ 5 GeV, as summarized in Table~\ref{tab:isotrk}. |
734 |
< |
In the $\geq$0 and $\geq$1 jet bins where the efficiencies can be tested with statistical precision, the data and MC |
734 |
> |
In the $\geq 0$ and $\geq 1$ jet bins where the efficiencies can be tested with statistical precision, the data and MC |
735 |
|
efficiencies agree within 6\%, and we apply this as a systematic uncertainty on the isolated track veto efficiency. |
736 |
|
For the higher jet multiplicity bins the statistical precision decreases, but we do not observe any evidence for |
737 |
|
a data vs. MC discrepancy in the isolated track veto efficiency. |
764 |
|
|
765 |
|
\begin{table}[!ht] |
766 |
|
\begin{center} |
741 |
– |
\caption{\label{tab:isotrk} Comparison of the data vs. MC efficiencies to satisfy the indicated requirements |
742 |
– |
on the absolute track isolation, and the ratio of these two efficiencies. Results are indicated separately for electrons and muons and for various |
743 |
– |
jet multiplicity requirements.} |
767 |
|
\begin{tabular}{l|c|c|c|c|c} |
768 |
|
|
769 |
|
%Electrons: |
861 |
|
\hline |
862 |
|
|
863 |
|
\end{tabular} |
864 |
+ |
\caption{\label{tab:isotrk} Comparison of the data vs. MC efficiencies to satisfy the indicated requirements |
865 |
+ |
on the absolute track isolation, and the ratio of these two efficiencies. Results are indicated separately for electrons and muons and for various |
866 |
+ |
jet multiplicity requirements.} |
867 |
|
\end{center} |
868 |
|
\end{table} |
869 |
|
|
870 |
+ |
\clearpage |
871 |
+ |
\subsection{Summary of uncertainties} |
872 |
+ |
\label{sec:bgunc-bottomline}. |
873 |
+ |
\input{uncertainties_table.tex} |
874 |
|
|
875 |
|
%Figure.~\ref{fig:reliso} compares the relative track isolation |
876 |
|
%for events with a track with $\pt > 10~\GeV$ in addition to a selected |
952 |
|
% \end{center} |
953 |
|
%\end{figure} |
954 |
|
|
955 |
< |
% \subsection{Summary of uncertainties} |
926 |
< |
% \label{sec:bgunc-bottomline}. |
955 |
> |
|
956 |
|
|
957 |
|
% THIS NEEDS TO BE WRITTEN |