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\item \textbf{Why the PDF systematics are only considered for significance (should be the opposite)?}\\ |
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The PDF systematics should indeed also be considered for the cross section measurement and we added |
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them to the list of uncertainties affecting the cross section. They are however also relevant for the |
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expected significance. The estimated significance depends on the number of expected |
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signal events, which depend on the WZ cross section. Of course the significance we will one day |
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estimate on real data does not depend on this. The PDF uncertainties on the cross section have been |
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determined at the PTDR time by varying the PDF within the range allowed by the errors of the PDF |
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them to the list of uncertainties affecting the cross section. It affects it through the signal acceptance |
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which may vary for different PDF assumptions. PDF uncertainties are not relevant for the signal significance |
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we will quote one day on real data, but they are however relevant for the expected significance we quote |
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in this analysis. The estimated significance depends on the number of expected |
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signal events, which depend on the WZ cross section. The PDF uncertainties on the cross section have |
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been determined at the PTDR time by varying the PDF within the range allowed by the errors of the PDF |
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fit (to HERA data). |
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|
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– |
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\item \textbf{What are the PDF systematics for ZZ background? [mainly for 3mu channel]}\\ |
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We are using the systematics derived in note AN-2006/055 which are 6.4\%. |
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\item \textbf{Does the cross section used for signal include the gamma*?}\\ |
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The response is complex: the signal simulated by Pythia do not include |
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the gamma* but the k-factor which has been used to go from LO to |
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NLO as been computed via MC@NLO including gamma* (NLO with gamma*/LO with gamma*). |
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The response is complex: the signal simulated by Pythia does not include |
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the $\gamma^*$ but the k-factor which has been used to go from LO to |
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NLO has been computed via MCFM including $\gamma^*$ (NLO with $\gamma^*$ / LO with $\gamma^*$). |
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|
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\item \textbf{Does reconstruction efficiency (Z) depend on pt(Z) ?}\\ |
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Indeed a bit, so we have applied a k-factor dependant on pt(Z). |
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mass remain the best variable. DO YOU HAVE PLOTS? |
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\item \textbf{Produce Event yield table and mass plot with MET$>$20} |
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We have update the note but with a transverse mass cut at 50 GeV. |
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We have updated the note but with a transverse mass cut at 50 GeV. |
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|
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\item \textbf{Redo all plots with 300pb$^{-1}$, produce event yields table with errors}\\ |
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Done in the note |
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\item \textbf{Please developp the way systematics will be evaluated}\\ |
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We have added:\\ {\it Trigger}: [...] From the current analysis of |
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We have added:\\ |
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\begin{itemize} |
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\item {\it Trigger}: [...] From the current analysis of |
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$Z\rightarrow l^+l^-$ in CMS~\ref{Zmumu}~\ref{Zee}, the number of Z |
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events is estimated of the order of 50k per 100pb$^{-1}$ of data |
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analysed. To determine the trigger efficiency ``tag-and-probe'' |
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method~\ref{TP} will be used.\\ {\it Reconstruction}: The |
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method~\ref{TP} will be used. |
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\item {\it Reconstruction}: The |
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mismeasurement of the charge is of the order of 2\% in CMSSW\_1\_6\_7 |
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release for electron. The estimation of the fraction with data will be |
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done by looking at the Z peak without opposite charge |
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requirement. Then number of events within the Z mass windows asking |
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for two leptons of same sign will give us a estimate of the fraction |
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of mismeasure sign leptons.\\ {\it Lepton identification}:The letpons |
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of mismeasure sign leptons. |
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\item {\it Lepton identification}:The letpons |
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scale will be established using the Z mass peak. |
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|
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\item {\it PDF uncertainties}: see response about PDF's above |
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\end{itemize} |
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|
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\item \textbf{Write a section on the pseudo-experiment and start the plot at 100pb$^-1$}\\ |
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To estimate the amount of data necessary to claim an evidence or observation |
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of the WZ signal, we perform 200,000 pseudoexperiements for data for a given |
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value of data that is varied from 40 to 500 pb$^{-1}$. For each pseudoexperiment |
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we use Poission statistics to estimate the expected number of events for |
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we use Poisson statistics to estimate the expected number of events for |
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signal and for each background sources separately, for each signature channel. |
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The mean of the expected number of events is varied using Gaussian statistic |
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using systematic uncertainties given in Table~\ref{tab:FullSys}. The significance of the |
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events observed in the four signatures of the analysis, respectively. By summing |
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signal and background together, we assume no correlation between the signature |
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channels, which result in a conservative estimation of the sensitivity reach. |
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Obtained $S_L$ distribution is fit with Gaussian function to obtain the mean |
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The obtained $S_L$ distribution is fitted with Gaussian function to obtain the mean |
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and resolution width, which would correspond to the most probable value of $S_L$ |
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and its uncertainty for a given value of integrated luminosity. The 68\% and 95\% |
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CL bands are $\pm 1\sigma$ and $\pm 1.96\sigma$ bands around the mean value |