<reponame>eschanet/phd-thesis

\begin{table}
\begin{center}
\setlength{\tabcolsep}{0.0pc}
\begin{tabular*}{\textwidth}{@{\extracolsep{\fill}}lc}
\noalign{\smallskip}\hline\noalign{\smallskip}
{\textbf{Uncertainty of channel}}                                    & VRtt2offEM\_cuts            \\
\noalign{\smallskip}\hline\noalign{\smallskip}
%%
Total background expectation             &  $9.48$       \\
%% \\
\noalign{\smallskip}\hline\noalign{\smallskip}
%%
Total statistical $(\sqrt{N_{\mathrm{exp}}})$              & $\pm 3.08$       \\
%%
Total background systematic               & $\pm 2.65\ [28.02\%] $             \\
\noalign{\smallskip}\hline\noalign{\smallskip}
\noalign{\smallskip}\hline\noalign{\smallskip}
%%
mu\_ST         & $\pm 1.92\ [20.2\%] $       \\
%%
alpha\_TtbarHardscattering         & $\pm 1.14\ [12.1\%] $       \\
%%
gamma\_stat\_VRtt2offEM\_cuts\_bin\_0         & $\pm 1.08\ [11.4\%] $       \\
%%
alpha\_singletopFSR         & $\pm 0.66\ [6.9\%] $       \\
%%
alpha\_singletopHardScattering         & $\pm 0.49\ [5.2\%] $       \\
%%
mu\_W         & $\pm 0.48\ [5.1\%] $       \\
%%
alpha\_singletopInterference         & $\pm 0.45\ [4.8\%] $       \\
%%
alpha\_JES\_Flavor\_Composition         & $\pm 0.44\ [4.6\%] $       \\
%%
alpha\_TtbarISR         & $\pm 0.43\ [4.5\%] $       \\
%%
alpha\_TtbarFSR         & $\pm 0.41\ [4.4\%] $       \\
%%
alpha\_singletopISR         & $\pm 0.40\ [4.2\%] $       \\
%%
alpha\_JES\_Pileup\_OffsetNPV         & $\pm 0.39\ [4.1\%] $       \\
%%
alpha\_TtbarFragmentation         & $\pm 0.36\ [3.8\%] $       \\
%%
alpha\_JER\_EffectiveNP\_12restTerm         & $\pm 0.31\ [3.3\%] $       \\
%%
alpha\_singletopFragHad         & $\pm 0.31\ [3.3\%] $       \\
%%
alpha\_JER\_EffectiveNP\_3         & $\pm 0.26\ [2.8\%] $       \\
%%
alpha\_JES\_Pileup\_RhoTopology         & $\pm 0.25\ [2.6\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Modelling1         & $\pm 0.23\ [2.4\%] $       \\
%%
alpha\_trigger         & $\pm 0.19\ [2.0\%] $       \\
%%
mu\_Top         & $\pm 0.19\ [2.0\%] $       \\
%%
alpha\_wjetsRenormFac         & $\pm 0.17\ [1.8\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Mixed1         & $\pm 0.17\ [1.8\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Statistical1         & $\pm 0.15\ [1.6\%] $       \\
%%
alpha\_MET\_SoftTrk\_ResoPara         & $\pm 0.15\ [1.6\%] $       \\
%%
alpha\_JES\_Flavor\_Response         & $\pm 0.15\ [1.6\%] $       \\
%%
alpha\_JES\_EtaIntercalibration\_TotalStat         & $\pm 0.15\ [1.6\%] $       \\
%%
alpha\_JER\_EffectiveNP\_6         & $\pm 0.15\ [1.6\%] $       \\
%%
alpha\_JER\_EffectiveNP\_8         & $\pm 0.15\ [1.5\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Detector1         & $\pm 0.15\ [1.5\%] $       \\
%%
alpha\_ttv\_XS         & $\pm 0.15\ [1.5\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Statistical6         & $\pm 0.13\ [1.4\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Modelling4         & $\pm 0.13\ [1.4\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Mixed3         & $\pm 0.13\ [1.4\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Detector2         & $\pm 0.13\ [1.3\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Statistical2         & $\pm 0.12\ [1.2\%] $       \\
%%
alpha\_JER\_EffectiveNP\_4         & $\pm 0.11\ [1.2\%] $       \\
%%
alpha\_JER\_EffectiveNP\_11         & $\pm 0.11\ [1.1\%] $       \\
%%
alpha\_JER\_EffectiveNP\_1         & $\pm 0.10\ [1.1\%] $       \\
%%
alpha\_JES\_EtaIntercalibration\_Modelling         & $\pm 0.10\ [1.1\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Mixed2         & $\pm 0.10\ [1.0\%] $       \\
%%
alpha\_MET\_SoftTrk\_ResoPerp         & $\pm 0.09\ [0.96\%] $       \\
%%
alpha\_btag\_CT         & $\pm 0.09\ [0.96\%] $       \\
%%
alpha\_JES\_Pileup\_PtTerm         & $\pm 0.08\ [0.90\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Statistical5         & $\pm 0.08\ [0.86\%] $       \\
%%
alpha\_JER\_EffectiveNP\_9         & $\pm 0.08\ [0.81\%] $       \\
%%
alpha\_JER\_DataVsMC         & $\pm 0.07\ [0.75\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Statistical4         & $\pm 0.06\ [0.67\%] $       \\
%%
alpha\_btag\_ExtraFromCharm         & $\pm 0.06\ [0.67\%] $       \\
%%
alpha\_MET\_SoftTrk         & $\pm 0.05\ [0.53\%] $       \\
%%
alpha\_JES\_Pileup\_OffsetMu         & $\pm 0.05\ [0.49\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Statistical3         & $\pm 0.04\ [0.43\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Modelling3         & $\pm 0.04\ [0.40\%] $       \\
%%
alpha\_diboson         & $\pm 0.04\ [0.39\%] $       \\
%%
alpha\_JER\_EffectiveNP\_5         & $\pm 0.04\ [0.38\%] $       \\
%%
alpha\_btag\_LightT         & $\pm 0.03\ [0.34\%] $       \\
%%
alpha\_JER\_EffectiveNP\_7         & $\pm 0.03\ [0.31\%] $       \\
%%
alpha\_JER\_EffectiveNP\_2         & $\pm 0.03\ [0.30\%] $       \\
%%
alpha\_EG\_Eff         & $\pm 0.03\ [0.29\%] $       \\
%%
alpha\_EG\_Iso         & $\pm 0.03\ [0.29\%] $       \\
%%
alpha\_wjetsCKKW         & $\pm 0.03\ [0.28\%] $       \\
%%
alpha\_wjetsQSF         & $\pm 0.03\ [0.27\%] $       \\
%%
alpha\_btag\_Extra         & $\pm 0.03\ [0.27\%] $       \\
%%
alpha\_diboson\_XS         & $\pm 0.02\ [0.25\%] $       \\
%%
alpha\_JES\_EffectiveNP\_Modelling2         & $\pm 0.02\ [0.21\%] $       \\
%%
alpha\_btag\_BT         & $\pm 0.01\ [0.15\%] $       \\
%%
alpha\_MUON\_Eff\_sys         & $\pm 0.01\ [0.14\%] $       \\
%%
alpha\_wjetsPDF         & $\pm 0.01\ [0.14\%] $       \\
%%
alpha\_ttvRenormFac         & $\pm 0.01\ [0.14\%] $       \\
%%
alpha\_MUON\_MS         & $\pm 0.01\ [0.13\%] $       \\
%%
alpha\_EG\_SCALE\_ALL         & $\pm 0.01\ [0.11\%] $       \\
%%
\noalign{\smallskip}\hline\noalign{\smallskip}
\end{tabular*}
\end{center}
\caption[Breakdown of uncertainty on background estimates]{
Breakdown of the dominant systematic uncertainties on background estimates in the various signal regions.
Note that the individual uncertainties can be correlated, and do not necessarily add up quadratically to 
the total background uncertainty. The percentages show the size of the uncertainty relative to the total expected background.
\label{table.results.bkgestimate.uncertainties.VRtt2offEM_cuts}}
\end{table}
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