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\clearpage |
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%\clearpage |
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\section{Background Estimation Techniques} |
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\label{sec:bkg} |
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|
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In this section we describe the techniques used to estimate the SM backgrounds in our signal regions defined by requirements of large \MET. |
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The SM backgrounds fall into 3 categories: |
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The SM backgrounds fall into three categories: |
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|
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\begin{itemize} |
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\item \zjets: this is the dominant background after performing the preselection. The \MET\ in \zjets\ events is estimated with the |
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\item \zjets: this is the dominant background after the preselection. The \MET\ in \zjets\ events is estimated with the |
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``\MET\ templates'' technique described in Sec.~\ref{sec:bkg_zjets}; |
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\item Flavor-symmetric (FS) backgrounds: this category includes processes which produces 2 leptons of uncorrelated flavor. It is dominated |
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by \ttbar\ but also contains Z$\to\tau\tau$, WW, and single top processes. This is the dominant contribution in the signal regions, and it |
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is estimated using a data control sample of e$\mu$ events; |
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is estimated using a data control sample of e$\mu$ events as described in Sec.~\ref{sec:bkg_fs}; |
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\item WZ and ZZ backgrounds: this background is estimated from MC, after validating the MC modeling of these processes using data control |
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samples with jets and exactly 3 leptons (WZ control sample) and exactly 4 leptons (ZZ control sample). |
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\item Rare SM backgrounds: this background contains rare processes such as $t\bar{t}$V and triple vector boson processes VVV (V=W,Z). |
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This background is estimated from MC. {\bf TODO: add rare MC} |
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samples with jets and exactly 3 leptons (WZ control sample) and exactly 4 leptons (ZZ control sample) as described in Sec.~\ref{sec:bkg_vz}; |
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%\item Rare SM backgrounds: this background contains rare processes such as $t\bar{t}$V and triple vector boson processes VVV (V=W,Z). |
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%This background is estimated from MC as described in Sec.~\ref{sec:bkg_raresm}. {\bf FIXME: add rare MC} |
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\end{itemize} |
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|
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\subsection{Estimating the \zjets\ Background with \MET\ Templates} |
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\label{sec:bkg_zjets} |
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|
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The premise of this data driven technique is that \MET in \zjets\ events |
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The premise of this data driven technique is that \MET\ in \zjets\ events |
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is produced by the hadronic recoil system and {\it not} by the leptons making up the Z. |
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Therefore, the basic idea of the \MET\ template method is to measure the \MET\ distribution in |
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a control sample which has no true MET and the same general attributes regarding |
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|
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To account for kinematic differences between the hadronic systems in the control vs. signal |
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samples, we measure the \MET\ distributions in the \gjets\ sample in bins of the number of jets |
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and the scalar sum of jet transverse energies (\Ht). These \MET distributions are normalized to unit area to form ``MET templates''. |
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The prediction of the MET in each \Z event is the template which corresponds to the \njets\ and |
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\Ht in the \zjets\ event. The prediction for the \Z sample is simply the sum of all such templates. |
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These templates are displayed in App.~\ref{app:templates}. |
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|
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While there is in principle a small contribution from backgrounds other than \zjets\ in the preselection regions, |
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this contribution is only $\approx$3\% ($\approx$2\%) of the total sample in the inclusive search (targeted search), |
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as shown in Table~\ref{table:zyields_2j} (Table~\ref{table:zyields_2j_targeted}, and is therefore negligible compared to the total |
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background uncertainty. |
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and the scalar sum of jet transverse energies (\Ht). These \MET\ templates are extracted separately from the 5 single photon |
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triggers with thresholds 22, 36, 50, 75, and 90 GeV, so that the templates are effectively binned in photon \pt. |
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All \MET distributions are normalized to unit area to form ``MET templates''. |
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The prediction of the MET in each \Z event is the template which corresponds to the \njets, |
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\Ht, and Z \pt in the \zjets\ event. The prediction for the \Z sample is simply the sum of all such templates. |
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All templates are displayed in App.~\ref{app:templates}. |
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|
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After preselection, there is a small contribution from backgrounds other than \zjets. To correct for this, the \MET\ templates |
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prediction is scaled such that the total background prediction matches the observed data yield in the \MET\ 0--60 GeV region. |
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Because the non-\zjets impurity in the low \MET\ region after preselection is very small, this results in |
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scaling factors of 0.985 (0.995) for the inclusive (targeted) search. |
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|
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\subsection{Estimating the Flavor-Symmetric Background with e$\mu$ Events} |
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\label{sec:bkg_fs} |
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\item $N_{e\mu}^{\rm{trig}} = \epsilon_{e\mu}^{\rm{trig}}N_{e\mu}^{\rm{offline}}$. |
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\end{itemize} |
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|
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Here $N_{\ell\ell}^{\rm{trig}}$ denotes the number of selected events in the $\ell\ell$ channel passing the offline and trigger selection |
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(in other words, the number of recorded events), $\epsilon_{\ell\ell}^{\rm{trig}}$ is the trigger efficiency, and |
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$N_{e\mu}^{\rm{offline}}$ is the number of events that would have passed the offline selection if the trigger had an efficiency of 100\%. |
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Here $N_{\ell\ell}^{\rm{trig}}$ denotes the number of selected Z events in the $\ell\ell$ channel passing the offline and trigger selection |
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(in other words, the number of recorded and selected events), $\epsilon_{\ell\ell}^{\rm{trig}}$ is the trigger efficiency, and |
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$N_{\ell\ell}^{\rm{offline}}$ is the number of events that would have passed the offline selection if the trigger had an efficiency of 100\%. |
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Thus we calculate the quantity: |
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|
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\begin{equation} |
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R_{\mu e} = \sqrt{\frac{N_{\mu\mu}^{\rm{offline}}}{N_{ee}^{\rm{offline}}}} = \sqrt{\frac{N_{\mu\mu}^{\rm{trig}}/\epsilon_{\mu\mu}^{\rm{trig}}}{N_{ee}^{\rm{trig}}/\epsilon_{ee}^{\rm{trig}}}} |
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= \sqrt{\frac{80367/0.88}{54426/0.95}} = 1.26\pm0.07. |
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= \sqrt{\frac{234132/0.86}{185555/0.95}} = 1.18\pm0.07. |
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\end{equation} |
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|
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Here we have used the Z$\to\mu\mu$ and Z$\to$ee yields from Table~\ref{table:zyields_2j} and the trigger efficiencies quoted in Sec.~\ref{sec:datasets}. |
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The indicated uncertainty is due to the 3\% uncertainties in the trigger efficiencies. {\bf TODO: check for variation w.r.t. lepton \pt}. |
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The indicated uncertainty is due to the 3\% uncertainties in the trigger efficiencies. %{\bf FIXME: check for variation w.r.t. lepton \pt}. |
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The predicted yields in the ee and $\mu\mu$ final states are calculated from the observed e$\mu$ yield as |
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|
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\begin{itemize} |
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\item $N_{ee}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{ee}^{\rm{trig}}} {2 R_{\mu e}} |
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= \frac{N_{e\mu}^{\rm{trig}}}{0.92}\frac{0.95}{2\times1.26} = (0.41\pm0.04) \times N_{e\mu}^{\rm{trig}}$ , |
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= \frac{N_{e\mu}^{\rm{trig}}}{0.93}\frac{0.95}{2\times1.18} = (0.43\pm0.05) \times N_{e\mu}^{\rm{trig}}$ , |
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\item $N_{\mu\mu}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{\mu\mu}^{\rm{trig}} R_{\mu e}} {2} |
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= \frac {N_{e\mu}^{\rm{trig}}} {0.95} \frac {0.88 \times 1.26}{2} = (0.58\pm0.06) \times N_{e\mu}^{\rm{trig}}$, |
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= \frac {N_{e\mu}^{\rm{trig}}} {0.95} \frac {0.86 \times 1.18}{2} = (0.53\pm0.07) \times N_{e\mu}^{\rm{trig}}$, |
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\end{itemize} |
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|
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and the predicted yield in the combined ee and $\mu\mu$ channel is simply the sum of these two predictions: |
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|
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\begin{itemize} |
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\item $N_{ee+\mu\mu}^{\rm{predicted}} = (0.99\pm0.06)\times N_{e\mu}^{\rm{trig}}$. |
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\item $N_{ee+\mu\mu}^{\rm{predicted}} = (0.97\pm0.06)\times N_{e\mu}^{\rm{trig}}$. |
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\end{itemize} |
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|
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Note that the relative uncertainty in the combined ee and $\mu\mu$ prediction is smaller than the those for the individual ee and $\mu\mu$ predictions |
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because the uncertainty in $R_{\mu e}$ cancels when summing the ee and $\mu\mu$ predictions. {\bf N.B. these uncertainties are preliminary}. |
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Note that the relative uncertainty in the combined ee and $\mu\mu$ prediction is smaller than those for the individual ee and $\mu\mu$ predictions |
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because the uncertainty in $R_{\mu e}$ cancels when summing the ee and $\mu\mu$ predictions. %{\bf N.B. these uncertainties are preliminary}. |
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|
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To improve the statistical precision of the FS background estimate, we remove the requirement that the e$\mu$ lepton pair falls in the Z mass window. |
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Instead we scale the e$\mu$ yield by $K$, the efficiency for e$\mu$ events to satisfy the Z mass requirement, extracted from simulation. In Fig.~\ref{fig:K_incl} |
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we display the value of $K$ in data and simulation, for a variety of \MET\ requirements, for the inclusive analysis. Based on this we chose $K=0.14\pm0.02$ |
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for all \MET\ regions except for \MET\ $>$ 300 GeV. For this region the statistical precision is reduced, so that we inflate the uncertainty and chose $K=0.14\pm0.08$. |
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we display the value of $K$ in data and simulation, for a variety of \MET\ requirements, for the inclusive analysis. |
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Based on this we chose $K=0.14\pm0.02$ for the lower \MET\ regions, $K=0.14\pm0.04$ for the \MET\ $>$ 200 GeV region, and $K=0.14\pm0.08$ for \MET\ $>$ 300 GeV, |
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where the larger uncertainties reflect the reduced statistical precision at large \MET. |
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The corresponding plot for the targeted analysis, including the b-veto, is displayed in Fig.~\ref{fig:K_targeted}. |
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Based on this we chose $K=0.13\pm0.02$ |
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for all \MET\ regions up to \MET\ $>$ 100 GeV. For higher \MET\ regions (\MET\ $>$ 150 GeV and above) the statistical precision is reduced, |
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so that we inflate the uncertainty and chose $K=0.13\pm0.07$. |
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Based on this we chose $K=0.13\pm0.02$ for all \MET\ regions up to \MET\ $>$ 100 GeV. |
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For the \MET\ $>$ 150 GeV region we choose $K=0.13\pm0.03$ |
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and for the \MET\ $>$ 200 GeV region we choose $K=0.13\pm0.05$, |
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due to the reduced statistical precision. |
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|
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\begin{figure}[!ht] |
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\begin{center} |
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\begin{tabular}{cc} |
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\includegraphics[width=0.4\textwidth]{plots/K_incl.pdf} & |
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\includegraphics[width=0.4\textwidth]{plots/K_excl.pdf} \\ |
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\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_19p5fb.pdf} & |
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\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_19p5fb.pdf} \\ |
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\end{tabular} |
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\caption{ |
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\caption{\label{fig:K_incl} |
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The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
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exclusive \MET\ intervals (right) for the inclusive analysis. Based on this we chose $K=0.14\pm0.02$ for all \MET\ regions except \MET\ $>$ 300 GeV, |
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where we chose $K=0.14\pm0.08$. |
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{\bf plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
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\label{fig:K_incl} |
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exclusive \MET\ intervals (right) for the inclusive analysis. |
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Based on this we chose $K=0.14\pm0.02$ for the lower \MET\ regions, $K=0.14\pm0.04$ for the \MET\ $>$ 200 GeV region, and $K=0.14\pm0.08$ for \MET\ $>$ 300 GeV. |
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} |
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|
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\begin{comment} |
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|
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Using selection : ((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20) |
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Using weight : vtxweight * weight |
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OF entries (total) 43808 |
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+ |
OF entries (Z mass) 6021 |
| 133 |
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K 0.137441 |
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Info in <TCanvas::MakeDefCanvas>: created default TCanvas with name c1 |
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|
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-------------------------------------------------------------- |
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pfmet>0 |
| 138 |
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|
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data : |
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total : 43808 |
| 141 |
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Z : 6021 |
| 142 |
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K : 0.14 +/- 0.002 |
| 143 |
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|
| 144 |
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MC : |
| 145 |
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total : 2378.42 |
| 146 |
+ |
Z : 344.559 |
| 147 |
+ |
K : 0.14 +/- 0.002 |
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+ |
-------------------------------------------------------------- |
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|
| 150 |
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|
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-------------------------------------------------------------- |
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pfmet>30 |
| 153 |
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|
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data : |
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total : 36603 |
| 156 |
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Z : 5084 |
| 157 |
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K : 0.14 +/- 0.002 |
| 158 |
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|
| 159 |
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MC : |
| 160 |
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total : 2012.6 |
| 161 |
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Z : 297.342 |
| 162 |
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K : 0.15 +/- 0.002 |
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-------------------------------------------------------------- |
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|
| 165 |
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|
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-------------------------------------------------------------- |
| 167 |
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pfmet>60 |
| 168 |
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|
| 169 |
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data : |
| 170 |
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total : 22692 |
| 171 |
+ |
Z : 3209 |
| 172 |
+ |
K : 0.14 +/- 0.002 |
| 173 |
+ |
|
| 174 |
+ |
MC : |
| 175 |
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total : 1285.07 |
| 176 |
+ |
Z : 189.292 |
| 177 |
+ |
K : 0.15 +/- 0.002 |
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-------------------------------------------------------------- |
| 179 |
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|
| 180 |
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|
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-------------------------------------------------------------- |
| 182 |
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pfmet>100 |
| 183 |
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|
| 184 |
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data : |
| 185 |
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total : 7862 |
| 186 |
+ |
Z : 1093 |
| 187 |
+ |
K : 0.14 +/- 0.004 |
| 188 |
+ |
|
| 189 |
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MC : |
| 190 |
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total : 470.932 |
| 191 |
+ |
Z : 68.9364 |
| 192 |
+ |
K : 0.15 +/- 0.003 |
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+ |
-------------------------------------------------------------- |
| 194 |
+ |
|
| 195 |
+ |
|
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+ |
-------------------------------------------------------------- |
| 197 |
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pfmet>200 |
| 198 |
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|
| 199 |
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data : |
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total : 424 |
| 201 |
+ |
Z : 50 |
| 202 |
+ |
K : 0.12 +/- 0.017 |
| 203 |
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|
| 204 |
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MC : |
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total : 28.2757 |
| 206 |
+ |
Z : 2.87288 |
| 207 |
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K : 0.10 +/- 0.011 |
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+ |
-------------------------------------------------------------- |
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|
| 210 |
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|
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-------------------------------------------------------------- |
| 212 |
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pfmet>300 |
| 213 |
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|
| 214 |
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data : |
| 215 |
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total : 52 |
| 216 |
+ |
Z : 5 |
| 217 |
+ |
K : 0.10 +/- 0.043 |
| 218 |
+ |
|
| 219 |
+ |
MC : |
| 220 |
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total : 3.77378 |
| 221 |
+ |
Z : 0.235632 |
| 222 |
+ |
K : 0.06 +/- 0.023 |
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+ |
-------------------------------------------------------------- |
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|
| 225 |
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Using selection : ((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20) |
| 226 |
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Using weight : vtxweight * weight |
| 227 |
+ |
OF entries (total) 43808 |
| 228 |
+ |
OF entries (Z mass) 6021 |
| 229 |
+ |
K 0.137441 |
| 230 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
| 231 |
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Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
| 232 |
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|
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-------------------------------------------------------------- |
| 234 |
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pfmet>0 && pfmet<30 |
| 235 |
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|
| 236 |
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data : |
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total : 7205 |
| 238 |
+ |
Z : 937 |
| 239 |
+ |
K : 0.13 +/- 0.004 |
| 240 |
+ |
|
| 241 |
+ |
MC : |
| 242 |
+ |
total : 366.332 |
| 243 |
+ |
Z : 47.2379 |
| 244 |
+ |
K : 0.13 +/- 0.004 |
| 245 |
+ |
-------------------------------------------------------------- |
| 246 |
+ |
|
| 247 |
+ |
|
| 248 |
+ |
-------------------------------------------------------------- |
| 249 |
+ |
pfmet>30 && pfmet<60 |
| 250 |
+ |
|
| 251 |
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data : |
| 252 |
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total : 13911 |
| 253 |
+ |
Z : 1875 |
| 254 |
+ |
K : 0.13 +/- 0.003 |
| 255 |
+ |
|
| 256 |
+ |
MC : |
| 257 |
+ |
total : 727.951 |
| 258 |
+ |
Z : 108.068 |
| 259 |
+ |
K : 0.15 +/- 0.003 |
| 260 |
+ |
-------------------------------------------------------------- |
| 261 |
+ |
|
| 262 |
+ |
|
| 263 |
+ |
-------------------------------------------------------------- |
| 264 |
+ |
pfmet>60 && pfmet<100 |
| 265 |
+ |
|
| 266 |
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data : |
| 267 |
+ |
total : 14830 |
| 268 |
+ |
Z : 2116 |
| 269 |
+ |
K : 0.14 +/- 0.003 |
| 270 |
+ |
|
| 271 |
+ |
MC : |
| 272 |
+ |
total : 814.344 |
| 273 |
+ |
Z : 120.355 |
| 274 |
+ |
K : 0.15 +/- 0.003 |
| 275 |
+ |
-------------------------------------------------------------- |
| 276 |
+ |
|
| 277 |
+ |
|
| 278 |
+ |
-------------------------------------------------------------- |
| 279 |
+ |
pfmet>100 && pfmet<200 |
| 280 |
+ |
|
| 281 |
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data : |
| 282 |
+ |
total : 7438 |
| 283 |
+ |
Z : 1043 |
| 284 |
+ |
K : 0.14 +/- 0.004 |
| 285 |
+ |
|
| 286 |
+ |
MC : |
| 287 |
+ |
total : 442.657 |
| 288 |
+ |
Z : 66.0631 |
| 289 |
+ |
K : 0.15 +/- 0.004 |
| 290 |
+ |
-------------------------------------------------------------- |
| 291 |
+ |
|
| 292 |
+ |
|
| 293 |
+ |
-------------------------------------------------------------- |
| 294 |
+ |
pfmet>200 && pfmet<300 |
| 295 |
+ |
|
| 296 |
+ |
data : |
| 297 |
+ |
total : 372 |
| 298 |
+ |
Z : 45 |
| 299 |
+ |
K : 0.12 +/- 0.018 |
| 300 |
+ |
|
| 301 |
+ |
MC : |
| 302 |
+ |
total : 24.502 |
| 303 |
+ |
Z : 2.63725 |
| 304 |
+ |
K : 0.11 +/- 0.012 |
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+ |
-------------------------------------------------------------- |
| 306 |
+ |
|
| 307 |
+ |
|
| 308 |
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-------------------------------------------------------------- |
| 309 |
+ |
pfmet>300 |
| 310 |
+ |
|
| 311 |
+ |
data : |
| 312 |
+ |
total : 52 |
| 313 |
+ |
Z : 5 |
| 314 |
+ |
K : 0.10 +/- 0.043 |
| 315 |
+ |
|
| 316 |
+ |
MC : |
| 317 |
+ |
total : 3.77378 |
| 318 |
+ |
Z : 0.235632 |
| 319 |
+ |
K : 0.06 +/- 0.023 |
| 320 |
+ |
-------------------------------------------------------------- |
| 321 |
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|
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|
| 323 |
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\end{comment} |
| 324 |
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|
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\end{center} |
| 326 |
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\end{figure} |
| 327 |
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|
| 328 |
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\begin{figure}[!hb] |
| 329 |
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\begin{center} |
| 330 |
|
\begin{tabular}{cc} |
| 331 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bveto.pdf} & |
| 332 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bveto.pdf} \\ |
| 331 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bveto_19p5fb.pdf} & |
| 332 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bveto_19p5fb.pdf} \\ |
| 333 |
|
\end{tabular} |
| 334 |
|
\caption{ |
| 335 |
|
The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
| 336 |
|
exclusive \MET\ intervals (right) for the targeted analysis, including the b-veto. |
| 337 |
|
Based on this we chose $K=0.13\pm0.02$ for the \MET\ regions up to \MET\ $>$ 100 GeV. |
| 338 |
< |
For higher \MET\ regions we chose $K=0.13\pm0.07$. |
| 339 |
< |
{\bf plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
| 338 |
> |
For \MET\ $>$ 150 we choose $K=0.13\pm0.03$, for \MET\ $>$ 200 GeV we choose $K=0.13\pm0.05$. |
| 339 |
> |
%{\bf FIXME plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
| 340 |
|
\label{fig:K_targeted} |
| 341 |
|
} |
| 342 |
+ |
\begin{comment} |
| 343 |
+ |
|
| 344 |
+ |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvm==0) |
| 345 |
+ |
Using weight : vtxweight * weight |
| 346 |
+ |
OF entries (total) 11172 |
| 347 |
+ |
OF entries (Z mass) 1331 |
| 348 |
+ |
K 0.119137 |
| 349 |
+ |
Info in <TCanvas::MakeDefCanvas>: created default TCanvas with name c1 |
| 350 |
+ |
|
| 351 |
+ |
-------------------------------------------------------------- |
| 352 |
+ |
pfmet>0 |
| 353 |
+ |
|
| 354 |
+ |
data : |
| 355 |
+ |
total : 11172 |
| 356 |
+ |
Z : 1331 |
| 357 |
+ |
K : 0.12 +/- 0.003 |
| 358 |
+ |
|
| 359 |
+ |
MC : |
| 360 |
+ |
total : 556.3 |
| 361 |
+ |
Z : 72.3357 |
| 362 |
+ |
K : 0.13 +/- 0.003 |
| 363 |
+ |
-------------------------------------------------------------- |
| 364 |
+ |
|
| 365 |
+ |
|
| 366 |
+ |
-------------------------------------------------------------- |
| 367 |
+ |
pfmet>30 |
| 368 |
+ |
|
| 369 |
+ |
data : |
| 370 |
+ |
total : 8811 |
| 371 |
+ |
Z : 1085 |
| 372 |
+ |
K : 0.12 +/- 0.004 |
| 373 |
+ |
|
| 374 |
+ |
MC : |
| 375 |
+ |
total : 447.641 |
| 376 |
+ |
Z : 60.0542 |
| 377 |
+ |
K : 0.13 +/- 0.003 |
| 378 |
+ |
-------------------------------------------------------------- |
| 379 |
+ |
|
| 380 |
+ |
|
| 381 |
+ |
-------------------------------------------------------------- |
| 382 |
+ |
pfmet>60 |
| 383 |
+ |
|
| 384 |
+ |
data : |
| 385 |
+ |
total : 5263 |
| 386 |
+ |
Z : 677 |
| 387 |
+ |
K : 0.13 +/- 0.005 |
| 388 |
+ |
|
| 389 |
+ |
MC : |
| 390 |
+ |
total : 285.463 |
| 391 |
+ |
Z : 39.2608 |
| 392 |
+ |
K : 0.14 +/- 0.004 |
| 393 |
+ |
-------------------------------------------------------------- |
| 394 |
+ |
|
| 395 |
+ |
|
| 396 |
+ |
-------------------------------------------------------------- |
| 397 |
+ |
pfmet>80 |
| 398 |
+ |
|
| 399 |
+ |
data : |
| 400 |
+ |
total : 3325 |
| 401 |
+ |
Z : 422 |
| 402 |
+ |
K : 0.13 +/- 0.006 |
| 403 |
+ |
|
| 404 |
+ |
MC : |
| 405 |
+ |
total : 183.689 |
| 406 |
+ |
Z : 25.7671 |
| 407 |
+ |
K : 0.14 +/- 0.005 |
| 408 |
+ |
-------------------------------------------------------------- |
| 409 |
+ |
|
| 410 |
+ |
|
| 411 |
+ |
-------------------------------------------------------------- |
| 412 |
+ |
pfmet>100 |
| 413 |
+ |
|
| 414 |
+ |
data : |
| 415 |
+ |
total : 1883 |
| 416 |
+ |
Z : 234 |
| 417 |
+ |
K : 0.12 +/- 0.008 |
| 418 |
+ |
|
| 419 |
+ |
MC : |
| 420 |
+ |
total : 111.774 |
| 421 |
+ |
Z : 14.7812 |
| 422 |
+ |
K : 0.13 +/- 0.006 |
| 423 |
+ |
-------------------------------------------------------------- |
| 424 |
+ |
|
| 425 |
+ |
|
| 426 |
+ |
-------------------------------------------------------------- |
| 427 |
+ |
pfmet>150 |
| 428 |
+ |
|
| 429 |
+ |
data : |
| 430 |
+ |
total : 451 |
| 431 |
+ |
Z : 46 |
| 432 |
+ |
K : 0.10 +/- 0.015 |
| 433 |
+ |
|
| 434 |
+ |
MC : |
| 435 |
+ |
total : 29.4551 |
| 436 |
+ |
Z : 3.57377 |
| 437 |
+ |
K : 0.12 +/- 0.012 |
| 438 |
+ |
-------------------------------------------------------------- |
| 439 |
+ |
|
| 440 |
+ |
|
| 441 |
+ |
-------------------------------------------------------------- |
| 442 |
+ |
pfmet>200 |
| 443 |
+ |
|
| 444 |
+ |
data : |
| 445 |
+ |
total : 138 |
| 446 |
+ |
Z : 15 |
| 447 |
+ |
K : 0.11 +/- 0.028 |
| 448 |
+ |
|
| 449 |
+ |
MC : |
| 450 |
+ |
total : 8.60692 |
| 451 |
+ |
Z : 0.775129 |
| 452 |
+ |
K : 0.09 +/- 0.017 |
| 453 |
+ |
-------------------------------------------------------------- |
| 454 |
+ |
|
| 455 |
+ |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvm==0) |
| 456 |
+ |
Using weight : vtxweight * weight |
| 457 |
+ |
OF entries (total) 11172 |
| 458 |
+ |
OF entries (Z mass) 1331 |
| 459 |
+ |
K 0.119137 |
| 460 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
| 461 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
| 462 |
+ |
|
| 463 |
+ |
-------------------------------------------------------------- |
| 464 |
+ |
pfmet>0 && pfmet<30 |
| 465 |
+ |
|
| 466 |
+ |
data : |
| 467 |
+ |
total : 2361 |
| 468 |
+ |
Z : 246 |
| 469 |
+ |
K : 0.10 +/- 0.007 |
| 470 |
+ |
|
| 471 |
+ |
MC : |
| 472 |
+ |
total : 108.378 |
| 473 |
+ |
Z : 12.2795 |
| 474 |
+ |
K : 0.11 +/- 0.008 |
| 475 |
+ |
-------------------------------------------------------------- |
| 476 |
+ |
|
| 477 |
+ |
|
| 478 |
+ |
-------------------------------------------------------------- |
| 479 |
+ |
pfmet>30 && pfmet<60 |
| 480 |
+ |
|
| 481 |
+ |
data : |
| 482 |
+ |
total : 3548 |
| 483 |
+ |
Z : 408 |
| 484 |
+ |
K : 0.11 +/- 0.006 |
| 485 |
+ |
|
| 486 |
+ |
MC : |
| 487 |
+ |
total : 162.246 |
| 488 |
+ |
Z : 20.7935 |
| 489 |
+ |
K : 0.13 +/- 0.006 |
| 490 |
+ |
-------------------------------------------------------------- |
| 491 |
+ |
|
| 492 |
+ |
|
| 493 |
+ |
-------------------------------------------------------------- |
| 494 |
+ |
pfmet>60 && pfmet<80 |
| 495 |
+ |
|
| 496 |
+ |
data : |
| 497 |
+ |
total : 1938 |
| 498 |
+ |
Z : 255 |
| 499 |
+ |
K : 0.13 +/- 0.008 |
| 500 |
+ |
|
| 501 |
+ |
MC : |
| 502 |
+ |
total : 101.801 |
| 503 |
+ |
Z : 13.4941 |
| 504 |
+ |
K : 0.13 +/- 0.007 |
| 505 |
+ |
-------------------------------------------------------------- |
| 506 |
+ |
|
| 507 |
+ |
|
| 508 |
+ |
-------------------------------------------------------------- |
| 509 |
+ |
pfmet>80 && pfmet<100 |
| 510 |
+ |
|
| 511 |
+ |
data : |
| 512 |
+ |
total : 1442 |
| 513 |
+ |
Z : 188 |
| 514 |
+ |
K : 0.13 +/- 0.010 |
| 515 |
+ |
|
| 516 |
+ |
MC : |
| 517 |
+ |
total : 71.9073 |
| 518 |
+ |
Z : 10.986 |
| 519 |
+ |
K : 0.15 +/- 0.009 |
| 520 |
+ |
-------------------------------------------------------------- |
| 521 |
+ |
|
| 522 |
+ |
|
| 523 |
+ |
-------------------------------------------------------------- |
| 524 |
+ |
pfmet>100 && pfmet<150 |
| 525 |
+ |
|
| 526 |
+ |
data : |
| 527 |
+ |
total : 1432 |
| 528 |
+ |
Z : 188 |
| 529 |
+ |
K : 0.13 +/- 0.010 |
| 530 |
+ |
|
| 531 |
+ |
MC : |
| 532 |
+ |
total : 82.3186 |
| 533 |
+ |
Z : 11.2075 |
| 534 |
+ |
K : 0.14 +/- 0.008 |
| 535 |
+ |
-------------------------------------------------------------- |
| 536 |
+ |
|
| 537 |
+ |
|
| 538 |
+ |
-------------------------------------------------------------- |
| 539 |
+ |
pfmet>150 && pfmet<200 |
| 540 |
+ |
|
| 541 |
+ |
data : |
| 542 |
+ |
total : 313 |
| 543 |
+ |
Z : 31 |
| 544 |
+ |
K : 0.10 +/- 0.018 |
| 545 |
+ |
|
| 546 |
+ |
MC : |
| 547 |
+ |
total : 20.8482 |
| 548 |
+ |
Z : 2.79864 |
| 549 |
+ |
K : 0.13 +/- 0.015 |
| 550 |
+ |
-------------------------------------------------------------- |
| 551 |
+ |
|
| 552 |
+ |
|
| 553 |
+ |
-------------------------------------------------------------- |
| 554 |
+ |
pfmet>200 |
| 555 |
+ |
|
| 556 |
+ |
data : |
| 557 |
+ |
total : 138 |
| 558 |
+ |
Z : 15 |
| 559 |
+ |
K : 0.11 +/- 0.028 |
| 560 |
+ |
|
| 561 |
+ |
MC : |
| 562 |
+ |
total : 8.60692 |
| 563 |
+ |
Z : 0.775129 |
| 564 |
+ |
K : 0.09 +/- 0.017 |
| 565 |
+ |
-------------------------------------------------------------- |
| 566 |
+ |
|
| 567 |
+ |
|
| 568 |
+ |
|
| 569 |
+ |
|
| 570 |
+ |
\end{comment} |
| 571 |
+ |
|
| 572 |
|
\end{center} |
| 573 |
|
\end{figure} |
| 574 |
|
|
| 575 |
+ |
|
| 576 |
|
\clearpage |
| 577 |
|
|
| 578 |
|
\subsection{Estimating the WZ and ZZ Background with MC} |
| 581 |
|
Backgrounds from W($\ell\nu$)Z($\ell\ell$) where the W lepton is not identified or is outside acceptance, and Z($\nu\nu$)Z($\ell\ell$), |
| 582 |
|
are estimated from simulation. The MC modeling of these processes is validated by comparing the MC predictions with data in control samples |
| 583 |
|
with exactly 3 leptons (WZ control sample) and exactly 4 leptons (ZZ control sample). |
| 584 |
< |
The relevant WZ and ZZ MC samples are: |
| 585 |
< |
|
| 586 |
< |
\begin{itemize} |
| 155 |
< |
\footnotesize{ |
| 156 |
< |
\item \verb=/WZJetsTo3LNu_TuneZ2_8TeV-madgraph-tauola/Summer12-PU_S7_START52_V9-v2/AODSIM= ($\sigma=1.058$ pb), |
| 157 |
< |
\item \verb=/ZZJetsTo4L_TuneZ2star_8TeV-madgraph-tauola/Summer12-PU_S7_START52_V9-v3/AODSIM= ($\sigma=0.093$ pb), |
| 158 |
< |
} |
| 159 |
< |
\end{itemize} |
| 160 |
< |
The WZJetsTo2L2Q, ZZJetsTo2L2Q, and ZZJetsTo2L2Nu samples are also used in this analysis but their contribution to the 3-lepton and 4-lepton |
| 161 |
< |
control samples is negligible. |
| 584 |
> |
The critical samples are the WZJetsTo3LNu and ZZJetsTo4L, listed in Table~\ref{tab:mcsamples} |
| 585 |
> |
(the WZJetsTo2L2Q, ZZJetsTo2L2Q, and ZZJetsTo2L2Nu samples are also used in this analysis but their contribution to the 3-lepton and 4-lepton |
| 586 |
> |
control samples is negligible). |
| 587 |
|
|
| 588 |
|
\subsubsection{WZ Validation Studies} |
| 589 |
|
\label{sec:bkg_wz} |
| 593 |
|
\begin{itemize} |
| 594 |
|
\item Exactly 3 $p_T>20$~GeV leptons passing analysis identication and isolation requirements, |
| 595 |
|
\item 2 of the 3 leptons must fall in the Z window 81-101 GeV, |
| 596 |
< |
\item \MET $>$ 50 GeV (to suppress DY). |
| 596 |
> |
\item \MET $>$ 50 GeV (to suppress DY), |
| 597 |
> |
\item veto events with b-tagged jets. |
| 598 |
|
\end{itemize} |
| 599 |
|
|
| 600 |
|
The data and MC yields passing the above selection are in Table~\ref{tab:wz}. |
| 601 |
< |
The inclusive yields (without any jet requirements) agree within 17\%, which is approximately equal |
| 602 |
< |
to the uncertainty in the measured WZ cross section. A data vs. MC comparison of kinematic |
| 601 |
> |
The inclusive yields (without any jet requirements) in the same-flavor final states (660 observed vs. 596 $\pm$ 5.2 MC expected) |
| 602 |
> |
agree within 11\%, which is consistent within |
| 603 |
> |
the $\approx$15\% uncertainty in the theory prediction for the WZ cross section. A data vs. MC comparison of kinematic |
| 604 |
|
distributions (jet multiplicity, \MET, Z \pt) is given in Fig.~\ref{fig:wz}. High \MET\ |
| 605 |
|
values in WZ and ZZ events arise from highly boosted W or Z bosons that decay leptonically, |
| 606 |
|
and we therefore check that the MC does a reasonable job of reproducing the \pt distributions of the |
| 607 |
|
leptonically decaying \Z. While the inclusive WZ yields are in reasonable agreement, we observe |
| 608 |
|
an excess in data in events with at least 2 jets, corresponding to the jet multiplicity requirement |
| 609 |
< |
in our preselection. We observe 60 events in data while the MC predicts $34\pm5.2$~(stat)), representing an excess of 78\%, |
| 610 |
< |
as indicated in Table~\ref{tab:wz2j}. |
| 611 |
< |
We note some possible causes for this discrepancy: |
| 612 |
< |
|
| 613 |
< |
\begin{itemize} |
| 609 |
> |
in our preselection. We observe 124 same-flavor events in data while the MC predicts $88\pm1.5$~(stat), representing an excess of 41\%, |
| 610 |
> |
as indicated in Table~\ref{tab:wz2j}, and we therefore assess an uncertainty of 50\% on the WZ background. |
| 611 |
> |
%We note that the contributions from fake leptons and from \zjets\ with mismeasured \MET\ |
| 612 |
> |
%is underestimated in the MC. |
| 613 |
> |
%This excess will be studied further. For the time being, based on these studies we currently assess an uncertainty of 50\% on the WZ yield. |
| 614 |
> |
%A data vs. MC comparison of several kinematic quantities in the sample with 3 leptons and at least 2 jets can be found in App.~\ref{app:WZ}. |
| 615 |
|
|
| 188 |
– |
\item The \zjets\ contribution is under-estimated here, for 2 reasons: first, because the \zjets\ |
| 189 |
– |
yield passing a \MET $>$ 50 GeV requirement is under-estimated in MC and second, because the fake |
| 190 |
– |
rate is typically under-estimated in the MC. To get a rough idea for how much the excess depends |
| 191 |
– |
on the \zjets\ yield, if the \zjets\ yield is doubled then the excess is reduced from 78\% to 55\%. |
| 192 |
– |
{\bf currently using 10\% of \zjets\ MC, and there is 1 event with a weight of about 5, plots and tables to be remade with full \zjets\ stats}. |
| 193 |
– |
|
| 194 |
– |
\item The \ttbar\ contribution is under-estimated here because the fake |
| 195 |
– |
rate is typically under-estimated in the MC. To get a rough idea for how much the excess depends |
| 196 |
– |
on the \ttbar\ yield, if the \ttbar\ yield is doubled then the excess is reduced from 78\% to 57\%. |
| 197 |
– |
|
| 198 |
– |
\item Currently no attempt is made to reject jets from pile-up interactions, which may be responsible |
| 199 |
– |
for some of this excess. To check this, we increase the jet \pt requirement to 40 GeV which |
| 200 |
– |
helps to suppress PU jets and observe 39 events in data vs. an MC prediction of $25\pm5.2$~(stat), |
| 201 |
– |
decreasing the excess from 78\% to 58\%. In the future this may be improved by explicitly |
| 202 |
– |
requiring the jets to be consistent with originating from the signal primary vertex. |
| 203 |
– |
|
| 204 |
– |
\end{itemize} |
| 616 |
|
|
| 206 |
– |
Based on these studies we currently assess an uncertainty of 80\% on the WZ yield. |
| 617 |
|
|
| 618 |
|
\begin{table}[htb] |
| 619 |
|
\begin{center} |
| 620 |
|
\caption{\label{tab:wz} Data and Monte Carlo yields passing the WZ preselection. } |
| 621 |
|
\begin{tabular}{lccccc} |
| 622 |
+ |
|
| 623 |
+ |
%Loading babies at : ../output/V00-02-13 |
| 624 |
+ |
%Using selection : ((((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101))&&(nbcsvm==0) |
| 625 |
+ |
%Using weight : weight * 19.5 * trgeff * vtxweight |
| 626 |
+ |
|
| 627 |
+ |
\hline |
| 628 |
+ |
\hline |
| 629 |
+ |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 630 |
|
\hline |
| 631 |
< |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 631 |
> |
WZ &244.0 $\pm$ 1.6 &301.8 $\pm$ 1.6 & 17.0 $\pm$ 0.4 &562.8 $\pm$ 2.3 \\ |
| 632 |
> |
ZZ & 10.2 $\pm$ 0.1 & 12.8 $\pm$ 0.1 & 0.8 $\pm$ 0.0 & 23.8 $\pm$ 0.1 \\ |
| 633 |
> |
\zjets & 3.3 $\pm$ 2.4 & 5.8 $\pm$ 3.4 & 0.0 $\pm$ 0.0 & 9.0 $\pm$ 4.2 \\ |
| 634 |
> |
\ttbar & 0.6 $\pm$ 0.6 & 4.5 $\pm$ 1.6 & 2.1 $\pm$ 1.1 & 7.3 $\pm$ 2.0 \\ |
| 635 |
> |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\ |
| 636 |
> |
WW & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.1 & 0.2 $\pm$ 0.1 & 0.3 $\pm$ 0.1 \\ |
| 637 |
> |
ttV & 2.3 $\pm$ 0.2 & 2.6 $\pm$ 0.2 & 0.6 $\pm$ 0.1 & 5.5 $\pm$ 0.3 \\ |
| 638 |
> |
VVV & 3.0 $\pm$ 0.1 & 3.7 $\pm$ 0.1 & 0.6 $\pm$ 0.1 & 7.4 $\pm$ 0.2 \\ |
| 639 |
|
\hline |
| 640 |
< |
WZ & 58.9 $\pm$ 0.7 & 82.2 $\pm$ 0.8 & 4.0 $\pm$ 0.2 &145.1 $\pm$ 1.0 \\ |
| 216 |
< |
\ttbar & 0.6 $\pm$ 0.5 & 4.3 $\pm$ 1.5 & 3.0 $\pm$ 1.2 & 8.0 $\pm$ 2.0 \\ |
| 217 |
< |
\zjets & 0.4 $\pm$ 0.4 & 4.9 $\pm$ 4.9 & 0.0 $\pm$ 0.0 & 5.3 $\pm$ 4.9 \\ |
| 218 |
< |
ZZ & 1.4 $\pm$ 0.0 & 2.0 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 3.5 $\pm$ 0.0 \\ |
| 219 |
< |
WW & 0.0 $\pm$ 0.0 & 0.2 $\pm$ 0.1 & 0.2 $\pm$ 0.1 & 0.3 $\pm$ 0.1 \\ |
| 220 |
< |
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.1 \\ |
| 640 |
> |
total SM MC &263.4 $\pm$ 3.0 &331.8 $\pm$ 4.2 & 21.4 $\pm$ 1.2 &616.6 $\pm$ 5.2 \\ |
| 641 |
|
\hline |
| 642 |
< |
total SM MC & 61.3 $\pm$ 0.9 & 93.7 $\pm$ 5.2 & 7.3 $\pm$ 1.3 &162.3 $\pm$ 5.4 \\ |
| 223 |
< |
data & 68 & 108 & 14 & 190 \\ |
| 642 |
> |
data & 288 & 372 & 36 & 696 \\ |
| 643 |
|
\hline |
| 644 |
|
\hline |
| 645 |
|
|
| 649 |
|
|
| 650 |
|
\begin{table}[htb] |
| 651 |
|
\begin{center} |
| 652 |
< |
\caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $>$ 2. } |
| 652 |
> |
\caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $\geq$ 2. } |
| 653 |
|
\begin{tabular}{lccccc} |
| 654 |
+ |
|
| 655 |
+ |
%Loading babies at : ../output/V00-02-13 |
| 656 |
+ |
%Using selection : (((((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101))&&(nbcsvm==0))&&(njets>=2) |
| 657 |
+ |
%Using weight : weight * 19.5 * trgeff * vtxweight |
| 658 |
+ |
|
| 659 |
|
\hline |
| 236 |
– |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 660 |
|
\hline |
| 661 |
+ |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 662 |
|
\hline |
| 663 |
< |
WZ & 9.8 $\pm$ 0.3 & 13.3 $\pm$ 0.3 & 0.6 $\pm$ 0.1 & 23.6 $\pm$ 0.4 \\ |
| 664 |
< |
\ttbar & 0.2 $\pm$ 0.2 & 2.0 $\pm$ 0.9 & 2.2 $\pm$ 1.2 & 4.4 $\pm$ 1.5 \\ |
| 665 |
< |
\zjets & 0.0 $\pm$ 0.0 & 4.9 $\pm$ 4.9 & 0.0 $\pm$ 0.0 & 4.9 $\pm$ 4.9 \\ |
| 666 |
< |
ZZ & 0.3 $\pm$ 0.0 & 0.4 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.7 $\pm$ 0.0 \\ |
| 667 |
< |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.0 \\ |
| 668 |
< |
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 663 |
> |
WZ & 33.0 $\pm$ 0.6 & 41.1 $\pm$ 0.6 & 2.3 $\pm$ 0.2 & 76.3 $\pm$ 0.9 \\ |
| 664 |
> |
ZZ & 1.7 $\pm$ 0.0 & 2.1 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 3.9 $\pm$ 0.1 \\ |
| 665 |
> |
\zjets & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 666 |
> |
\ttbar & 0.6 $\pm$ 0.6 & 1.3 $\pm$ 0.9 & 1.2 $\pm$ 0.9 & 3.1 $\pm$ 1.4 \\ |
| 667 |
> |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\ |
| 668 |
> |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 669 |
> |
\ttV & 1.8 $\pm$ 0.2 & 2.1 $\pm$ 0.2 & 0.4 $\pm$ 0.1 & 4.3 $\pm$ 0.3 \\ |
| 670 |
> |
VVV & 1.5 $\pm$ 0.1 & 2.0 $\pm$ 0.1 & 0.1 $\pm$ 0.0 & 3.7 $\pm$ 0.1 \\ |
| 671 |
|
\hline |
| 672 |
< |
tot SM MC & 10.3 $\pm$ 0.3 & 20.8 $\pm$ 5.0 & 2.8 $\pm$ 1.2 & 33.8 $\pm$ 5.2 \\ |
| 672 |
> |
total SM MC & 38.7 $\pm$ 0.9 & 49.1 $\pm$ 1.2 & 4.1 $\pm$ 0.9 & 91.8 $\pm$ 1.7 \\ |
| 673 |
|
\hline |
| 674 |
< |
data & 23 & 32 & 5 & 60 \\ |
| 674 |
> |
data & 61 & 63 & 11 & 135 \\ |
| 675 |
|
\hline |
| 676 |
|
\hline |
| 677 |
|
|
| 681 |
|
|
| 682 |
|
\begin{figure}[tbh] |
| 683 |
|
\begin{center} |
| 684 |
< |
\includegraphics[width=1\linewidth]{plots/WZ.pdf} |
| 684 |
> |
\includegraphics[width=1\linewidth]{plots/WZ_19p5fb.pdf} |
| 685 |
|
\caption{\label{fig:wz}\protect |
| 686 |
|
Data vs. MC comparisons for the WZ selection discussed in the text for \lumi. |
| 687 |
|
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed. |
| 688 |
|
} |
| 689 |
+ |
\begin{comment} |
| 690 |
+ |
|
| 691 |
+ |
Loading babies at : ../output/V00-02-13 |
| 692 |
+ |
Using selection : ((((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101))&&(nbcsvm==0) |
| 693 |
+ |
Using weight : weight * 19.5 * trgeff * vtxweight |
| 694 |
+ |
Plotting var njets flavor sf |
| 695 |
+ |
compareDataMC : apply trigeff 1 |
| 696 |
+ |
MC yield VVV 6.78 |
| 697 |
+ |
MC yield ttV 4.94 |
| 698 |
+ |
MC yield WW 0.09 |
| 699 |
+ |
MC yield single top 0.47 |
| 700 |
+ |
MC yield ttbar 5.14 |
| 701 |
+ |
MC yield ZZ 23.01 |
| 702 |
+ |
MC yield WZ 545.78 |
| 703 |
+ |
MC yield zjets 9.02 |
| 704 |
+ |
MC total yield 595.23 |
| 705 |
+ |
data yield 660 |
| 706 |
+ |
Plotting var pfmet flavor sf |
| 707 |
+ |
compareDataMC : apply trigeff 1 |
| 708 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htemp (Potential memory leak). |
| 709 |
+ |
MC yield VVV 6.78 |
| 710 |
+ |
MC yield ttV 4.94 |
| 711 |
+ |
MC yield WW 0.09 |
| 712 |
+ |
MC yield single top 0.47 |
| 713 |
+ |
MC yield ttbar 5.14 |
| 714 |
+ |
MC yield ZZ 23.01 |
| 715 |
+ |
MC yield WZ 545.79 |
| 716 |
+ |
MC yield zjets 9.02 |
| 717 |
+ |
MC total yield 595.24 |
| 718 |
+ |
data yield 660 |
| 719 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: datahist (Potential memory leak). |
| 720 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_0 (Potential memory leak). |
| 721 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_1 (Potential memory leak). |
| 722 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_2 (Potential memory leak). |
| 723 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_3 (Potential memory leak). |
| 724 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_4 (Potential memory leak). |
| 725 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_5 (Potential memory leak). |
| 726 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_6 (Potential memory leak). |
| 727 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: mc_7 (Potential memory leak). |
| 728 |
+ |
Plotting var dileppt flavor sf |
| 729 |
+ |
compareDataMC : apply trigeff 1 |
| 730 |
+ |
Warning in <TROOT::Append>: Replacing existing TH1: htemp (Potential memory leak). |
| 731 |
+ |
MC yield VVV 6.78 |
| 732 |
+ |
MC yield ttV 4.94 |
| 733 |
+ |
MC yield WW 0.09 |
| 734 |
+ |
MC yield single top 0.47 |
| 735 |
+ |
MC yield ttbar 5.14 |
| 736 |
+ |
MC yield ZZ 23.01 |
| 737 |
+ |
MC yield WZ 545.78 |
| 738 |
+ |
MC yield zjets 9.02 |
| 739 |
+ |
MC total yield 595.23 |
| 740 |
+ |
data yield 660 |
| 741 |
+ |
|
| 742 |
+ |
\end{comment} |
| 743 |
+ |
|
| 744 |
|
\end{center} |
| 745 |
|
\end{figure} |
| 746 |
|
|
| 756 |
|
\item 2 of the 4 leptons must fall in the $Z$ window 81-101 GeV. |
| 757 |
|
\end{itemize} |
| 758 |
|
|
| 759 |
< |
The data and MC yields passing the above selection are in Table~\ref{tab:zz}. Again we observe an |
| 760 |
< |
excess in data with respect to the MC prediction (29 observed vs. $17.3\pm0.1$~(stat) MC predicted). |
| 761 |
< |
After requiring at least 2 jets, we observe 2 events and the MC predicts $1.5\pm0.1$~(stat). |
| 762 |
< |
Based on this we apply an uncertainty of 80\% to the ZZ background. |
| 759 |
> |
The data and MC yields passing the above selection are in Table~\ref{tab:zz}. |
| 760 |
> |
In this ZZ-dominated sample we observe good agreement between the data yield and the MC prediction. |
| 761 |
> |
After requiring 2 jets (corresponding to the requirement in the analysis selection), we observe 11 events |
| 762 |
> |
in data and the MC predicts $11\pm0.2$ events. Due to the limited statistical precision we assign an uncertainty |
| 763 |
> |
of 50\% on the ZZ yield. |
| 764 |
|
|
| 765 |
|
\begin{table}[htb] |
| 766 |
|
\begin{center} |
| 767 |
|
\caption{\label{tab:zz} Data and Monte Carlo yields for the ZZ preselection. } |
| 768 |
|
\begin{tabular}{lccccc} |
| 769 |
+ |
|
| 770 |
+ |
%Loading babies at : ../output/V00-02-13 |
| 771 |
+ |
%Using selection : ((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==4 && lep3.pt()>20.0 && lep4.pt()>20.0))&&(dilmass>81 && dilmass<101) |
| 772 |
+ |
%Using weight : weight * 19.5 * trgeff * vtxweight |
| 773 |
+ |
|
| 774 |
|
\hline |
| 288 |
– |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 775 |
|
\hline |
| 776 |
< |
|
| 776 |
> |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 777 |
|
\hline |
| 778 |
< |
ZZ & 6.6 $\pm$ 0.0 & 9.9 $\pm$ 0.0 & 0.4 $\pm$ 0.0 & 17.0 $\pm$ 0.1 \\ |
| 779 |
< |
WZ & 0.1 $\pm$ 0.0 & 0.2 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.3 $\pm$ 0.0 \\ |
| 778 |
> |
ZZ & 53.0 $\pm$ 0.2 & 70.7 $\pm$ 0.2 & 3.5 $\pm$ 0.0 &127.2 $\pm$ 0.3 \\ |
| 779 |
> |
\ttV & 1.3 $\pm$ 0.2 & 1.4 $\pm$ 0.2 & 0.3 $\pm$ 0.1 & 3.0 $\pm$ 0.2 \\ |
| 780 |
> |
VVV & 0.7 $\pm$ 0.1 & 0.9 $\pm$ 0.1 & 0.0 $\pm$ 0.0 & 1.7 $\pm$ 0.1 \\ |
| 781 |
|
\zjets & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 782 |
+ |
WZ & 0.1 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.3 $\pm$ 0.1 \\ |
| 783 |
|
\ttbar & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 296 |
– |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 784 |
|
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 785 |
+ |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 786 |
|
\hline |
| 787 |
< |
total SM MC & 6.7 $\pm$ 0.0 & 10.1 $\pm$ 0.1 & 0.5 $\pm$ 0.0 & 17.3 $\pm$ 0.1 \\ |
| 787 |
> |
total SM MC & 55.1 $\pm$ 0.3 & 73.1 $\pm$ 0.3 & 3.9 $\pm$ 0.1 &132.1 $\pm$ 0.4 \\ |
| 788 |
|
\hline |
| 789 |
< |
data & 13 & 16 & 0 & 29 \\ |
| 789 |
> |
data & 57 & 82 & 5 & 144 \\ |
| 790 |
|
\hline |
| 303 |
– |
|
| 791 |
|
\hline |
| 792 |
+ |
|
| 793 |
|
\end{tabular} |
| 794 |
|
\end{center} |
| 795 |
|
\end{table} |
| 796 |
|
|
| 797 |
|
\begin{figure}[tbh] |
| 798 |
|
\begin{center} |
| 799 |
< |
\includegraphics[width=1\linewidth]{plots/ZZ.pdf} |
| 799 |
> |
\includegraphics[width=1\linewidth]{plots/ZZ_19p5fb.pdf} |
| 800 |
|
\caption{\label{fig:zz}\protect |
| 801 |
< |
Data vs. MC comparisons for the $ZZ$ selection discussed in the text for \lumi. |
| 802 |
< |
The number of jets, missing transverse energy, and $Z$ boson transverse momentum are displayed. |
| 801 |
> |
Data vs. MC comparisons for the ZZ selection discussed in the text for \lumi. |
| 802 |
> |
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed. |
| 803 |
|
} |
| 804 |
|
\end{center} |
| 805 |
|
\end{figure} |
| 806 |
|
|
| 807 |
+ |
\begin{comment} |
| 808 |
+ |
|
| 809 |
+ |
Loading babies at : ../output/V00-02-13 |
| 810 |
+ |
Using selection : ((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==4 && lep3.pt()>20.0 && lep4.pt()>20.0))&&(dilmass>81 && dilmass<101) |
| 811 |
+ |
Using weight : weight * 19.5 * trgeff * vtxweight |
| 812 |
+ |
Plotting var njets flavor sf |
| 813 |
+ |
compareDataMC : apply trigeff 1 |
| 814 |
+ |
MC yield VVV 1.63 |
| 815 |
+ |
MC yield ttV 2.66 |
| 816 |
+ |
MC yield WW 0.00 |
| 817 |
+ |
MC yield single top 0.00 |
| 818 |
+ |
MC yield ttbar 0.00 |
| 819 |
+ |
MC yield ZZ 123.68 |
| 820 |
+ |
MC yield WZ 0.25 |
| 821 |
+ |
MC yield zjets 0.00 |
| 822 |
+ |
MC total yield 128.21 |
| 823 |
+ |
data yield 139 |
| 824 |
+ |
Plotting var pfmet flavor sf |
| 825 |
+ |
compareDataMC : apply trigeff 1 |
| 826 |
+ |
MC yield VVV 1.63 |
| 827 |
+ |
MC yield ttV 2.66 |
| 828 |
+ |
MC yield WW 0.00 |
| 829 |
+ |
MC yield single top 0.00 |
| 830 |
+ |
MC yield ttbar 0.00 |
| 831 |
+ |
MC yield ZZ 123.66 |
| 832 |
+ |
MC yield WZ 0.25 |
| 833 |
+ |
MC yield zjets 0.00 |
| 834 |
+ |
MC total yield 128.19 |
| 835 |
+ |
data yield 139 |
| 836 |
+ |
Plotting var dileppt flavor sf |
| 837 |
+ |
compareDataMC : apply trigeff 1 |
| 838 |
+ |
MC yield VVV 1.63 |
| 839 |
+ |
MC yield ttV 2.66 |
| 840 |
+ |
MC yield WW 0.00 |
| 841 |
+ |
MC yield single top 0.00 |
| 842 |
+ |
MC yield ttbar 0.00 |
| 843 |
+ |
MC yield ZZ 123.67 |
| 844 |
+ |
MC yield WZ 0.25 |
| 845 |
+ |
MC yield zjets 0.00 |
| 846 |
+ |
MC total yield 128.20 |
| 847 |
+ |
data yield 139 |
| 848 |
+ |
|
| 849 |
+ |
|
| 850 |
+ |
\end{comment} |
| 851 |
|
|
| 852 |
|
|
| 853 |
|
|
| 854 |
< |
\subsection{Estimating the Rare SM Backgrounds with MC} |
| 855 |
< |
\label{sec:bkg_raresm} |
| 854 |
> |
%\subsection{Estimating the Rare SM Backgrounds with MC} |
| 855 |
> |
%\label{sec:bkg_raresm} |
| 856 |
|
|
| 857 |
< |
{\bf TODO: list samples, yields in preselection region, and \MET distribution} |
| 857 |
> |
%{\bf TODO: list samples, yields in preselection region, and show \MET\ distribution} |
