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In this section, we estimate systematics uncertainties of the methods |
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used in this analysis. We follow the rule of making conservative estimates |
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throughout this section. |
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\subsection{Modeling systematics} |
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The sources of systematic uncertainties due to modeling of trigger, |
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reconstruction, PDF, and luminosity are described below |
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\begin{itemize} |
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\item {\it Trigger}: the trigger path used to select four categories require |
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leptons to be isolated. Though, the isolation criteria depends on the |
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occupancy of the sub-detectors, the alignment of the tracker (when |
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considering tracker isolation variables), and noise in the calorimeters (when |
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considering a calorimetric isolation), the trigger efficiency is |
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expected to be around 99\%, and therefore, a systematic uncertainty |
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is conservatively estimated as 1\%. |
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|
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\item {\it Reconstruction}: we assign 2\% systematic uncertainty per lepton |
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due to initial tracker alignment which is of paramount importance to |
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reconstruct leptons, 2\% and 1\% is assigned for the determination |
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of the charge of the electron and muon candidates, respectively. We assigned |
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a larger electron charge identification uncertainty due to much stronger |
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Bremsstrahlung energy loss which makes the charge identification more |
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difficult. |
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\item {\it Trigger}: the trigger path used to select four categories |
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require leptons to be isolated. Though, the isolation criteria |
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depends on the occupancy of the sub-detectors, the alignment of the |
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tracker (when considering tracker isolation variables), and noise in |
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the calorimeters (when considering a calorimetric isolation), the |
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trigger efficiency is expected to be around 99\%, and therefore, a |
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systematic uncertainty is conservatively estimated as 1\%. From the |
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current analysis of $Z\rightarrow l^+l^-$ in |
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CMS~\ref{Zmumu}~\ref{Zee}, the number of \Z events is estimated of the |
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order of 50k per 100pb$^{-1}$ of data analysed. To determine the |
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trigger efficiency ``tag-and-probe'' method~\ref{TP} will be used. |
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|
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\item {\it Reconstruction}: we assign 2\% systematic uncertainty per |
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lepton due to initial tracker alignment which is of paramount |
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importance to reconstruct leptons, 2\% and 1\% is assigned for the |
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determination of the charge of the electron and muon candidates, |
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respectively. We assigned a larger electron charge identification |
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uncertainty due to much stronger Bremsstrahlung energy loss which |
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makes the charge identification more difficult. The mismeasurement of |
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the charge is of the order of 2\% in CMSSW\_1\_6\_7 release for |
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electron. The estimation of the fraction with data will be done by |
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looking at the \Z peak without opposite charge requirement. Then |
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number of events within the \Z mass windows asking for two leptons of |
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same sign will give us a estimate of the fraction of mismeasure sign |
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leptons. |
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\item {\it Lepton identification}: we assign 4\% of systematic uncertainty |
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due to efficiency measurement from early data using ``tag-and-probe'' |
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method and 2\% for that for a muon. Additionally we assign a systematic |
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uncertainty on lepton energy scale of 2\% per lepton. |
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\item {\it Lepton identification}: we assign 4\% of systematic |
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uncertainty due to efficiency measurement from early data using |
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``tag-and-probe'' method and 2\% for that for a muon. Additionally we |
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assign a systematic uncertainty on lepton energy scale of 2\% per |
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lepton. The letpons scale will be established using the \Z mass peak. |
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\item {\it PDF uncertainties}: we estimate PDF uncertainties following prescription |
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described in~\cite{OldNote}. The uncertainty is found to be |
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$Z+jets$ will be determine using the method described |
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in~\ref{sec:D0Matrix}. |
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From the fit, we will consider a systematics error of XXX. %10\%. |
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From the fit, we will consider a systematics error of 10\%. |
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If we consider an error of XXX % 5\% |
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on the fake rate and an error of XXX % 2\% |
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If we consider an error of 10\% |
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on the fake rate and an error of 2\% |
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on the efficiency on signal to go from loose to tight criteria, we can |
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calculate the error on the estimated background as follow: |
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\begin{equation} |
