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The analysis is based on CSA07 production~\cite{CSA07} with a
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misaligned and calibrated scenario of 100 pb$^{-1}$.
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In Table~\ref{tab:MC} we describe the samples used for
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this study.
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\begin{table}[htb]
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\caption{Monte Carlo Samples used for the study. All of them have been reconstructed with the misalignment/miscalibration scenario corresponding
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to 100 pb$^{-1}$}
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\label{tab:MC}
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\begin{center}
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\begin{tabular}{|c|c|c|c|c|} \hline
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Sample & cross section [pb] & Events & Dataset name \\ \hline
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$WZ$ & 1.12 & 59K & /WZ/CMSSW$\_1\_6\_7$-CSA07-1195663763\\ \hline
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$Z b\bar{b}$ & 830*0.173 (NLO) & 1.9M & /comphep-bbll/CMSSW$\_1\_6\_7$-CSA07-1198677426\\ \hline
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Gumbo & Event Weight & $\sim$ 43M & /CSA07AllEvents/ \\ & & & CMSSW$\_1\_6\_7$-CSA07-Gumbo-B1-PDAllEvents-ReReco-100pb\\ \hline
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Chowder & Event Weight & $\sim$ 21M & /CSA07AllEvents/\\ & & & CMSSW$\_1\_6\_7$-CSA07-Chowder-A1-PDAllEvents-ReReco-100pb\\ \hline
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\end{tabular}
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\end{center}
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\end{table}
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"Gumbo soup" is a Monte Carlo sample that consists of mainly multijet and $\gamma$+jets
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events generated using PYTHIA, while "Chowder soup" contains $Z$+jets, $W$+jets, and $t\bar{t}$+jets
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samples produced using ALPGEN generator. We use the RECO production level to access
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to low-level detector information, such as reconstructed hits. This lets us to use full granularity
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of the CMS sub-detectors to design more powerful isolation discriminants.
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Analysis of the samples is done using CMSSW$\_1\_6\_7$ CMS software release.
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The information is stored in ROOT trees using a code in
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CVS:/UserCode/Vuko/WZAnalysis, which is based on Physics Tools candidates.
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