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2   \label{sec:gen}
3   \subsection{Monte Carlo generators}
4   The signal and background samples for the full detector simulation
5 < were generated with the leading order event generator PYTHIA~\cite{Sjostrand:2003wg}, ALPGEN or COMPHEP. To
6 < accommodate NLO effect constant k-factors were applied.
7 < Additionally the cross section calculator MCFM~\cite{Campbell:2005} was used to determine
8 < the next-to-leading order differential cross section for the WZ
9 < production process.  To estimate the PDF uncertainty for the signal
10 < process at NLO the NLO event generator MC@NLO 3.1~\cite{Frixione:2002ik} together with PDF set
11 < CTEQ6M was used.
12 <
13 < \subsection{Signal Definition}
14 <
15 < The goal of the analysis is to study the final state of on-shell $W$
16 < and $Z$ boson, both of them decaying leptonically. The leptonic final
17 < state $l^+ l^- l^\pm \nu$ also receives a contribution from the
18 < $W\gamma *$ process, where the $\gamma *$ stands for a virtual photon
19 < through the $WW\gamma$ vertex. In this analysis, only events with $l^+
20 < l^-$ invariant mass consistent with $Z$ mass will be considered. CMS
21 < detector have a very good energy resolution for electrons and muons,
22 < the mass windows will be $\pm 10$ GeV around 91 GeV.
5 > are generated with the leading order (LO) event generators
6 > {\sl PYTHIA}~\cite{Sjostrand:2003wg}, {\sl ALPGEN} and {\sl COMPHEP}.
7 > To accommodate the next-to-leading (NLO) effects, constant $k$-factors are applied
8 > except for the signal where a $p_T$-dependence has been taken into account.
9 >
10 > The $p_T$-dependent $k$-factor for the signal is estimated using
11 > the NLO cross section calculator {\sl MCFM}~\cite{Campbell:2005}.  
12 > We estimate the PDF uncertainty on the cross-section using
13 > {\sl MC@NLO 3.1}~\cite{Frixione:2002ik} NLO event generator
14 > together with CTEQ6M PDF set.
15 >
16 > \subsection{Signal definition}
17 > The goal of this analysis is to study the associative production of the on-shell
18 > $\W$ and $\Z$ bosons that decay into three leptons and a neutrino. In the
19 > following we refer to a lepton to as either a muon or an electron, unless
20 > specified otherwise.
21  
22 < Using MCFM to estimate the total NLO cross section, we found:
22 > Using {\sl MCFM} we estimate the total NLO $\WZ$ cross-section to be
23   \begin{equation}
24 < \sigma_{NLO} ( pp \rightarrow W^+Z^0; \sqrt{s}=14TeV) = 30.5 pb
24 > \sigma_{NLO} ( pp \rightarrow W^+\Z; \sqrt{s}=14~{\rm TeV}) = 30.5~{\rm pb},
25   \end{equation}
26   \begin{equation}
27 < \sigma_{NLO} ( pp \rightarrow W^-Z^0; \sqrt{s}=14TeV) = 19.1 pb
27 > \sigma_{NLO} ( pp \rightarrow W^-\Z; \sqrt{s}=14~{\rm TeV}) = 19.1~{\rm pb}.
28   \end{equation}
29  
30 < The LO and NLO distribution of \Z transverse momentum are shown of
31 < figure~\ref{fig:LOvsNLO} for the case of $W^+$ on the left and $W^-$
32 < on the right side. The ratio NLO/LO is also presented on the figure
33 < and it is increasing as $P_T(Z)$ increased. In the following analysis
34 < we consider a constant $k-factor$ of 1.84 as we concentrate on the
35 < first data taking. On the other side, if in the future one wants to
36 < use such distribution to study the effect of possible anomalous triple
37 < gauge couplings, it will be necessary to take the $p_T$ dependence of
38 < this $k-factor$ into account.
30 > The LO and NLO distributions of the \Z boson transverse momentum are
31 > shown in Fig.~\ref{fig:LOvsNLO}. The NLO/LO ratio, $k$-factor, is also presented on the figure,
32 > and it is increasing with $p_T(\Z)$.  We take into account the $p_T$ dependence
33 > by re-weighting the LO Monte Carlo simulation as a function of the $p_T(\Z)$.
34 > %
35 > %
36 > %The $p_T$ dependence of the $k$-factor
37 > %becomes important when a proper NLO description of the $\Z$ boson transverse
38 > %momentum must be obtained, $e.g$ to measure the strength of the $WWZ$ coupling.
39 > %As the focus of this analysis is to prepare for the cross-section measurement,
40 > %we take a $p_{T}$-averaged value of the $k$-factor, equal to 1.84.
41  
42   \begin{figure}[!bt]
43    \begin{center}
44 <  \scalebox{0.8}{\includegraphics{figs/LOvsNLOZPtWminuns.eps}\includegraphics{figs/LOvsNLOZPtWplus.eps}}
45 <  \caption{$P_T(Z)$ in $W^-Z$ events on the left and  $W^+Z$ events on the right
46 < distribution for LO and NLO calculation. The ratio NLO/LO is also given.
47 < }
44 >  \scalebox{0.8}{\includegraphics{figs/k_faktor_for_Note.eps}}
45 >  \caption{Top plot: comparison of $p_T(Z)$ distributions for NLO and LO; bottom plot: k factor }
46    \label{fig:LOvsNLO}
47    \end{center}
48   \end{figure}
# Line 56 | Line 54 | distribution for LO and NLO calculation.
54   %# 830x0.173 (== XS x eff.) = 143.59pb
55  
56  
57 < \subsection{Signal and Background Monte Carlo samples}
58 < The signal monte carlo sample has been produced using PYTHIA
59 < generator. The decay for the \W has been forced to be in $e\nu_e$ or
60 < $\mu\nu_{mu}$ or $\tau\nu_{\tau}$ while the \Z is decaying into electrons
61 < or muons only.
62 <
63 < The main background that we have to consider are all final states
64 < having at least two isolated leptons from the same flavor and with
65 < opposite charge. The third one can be a real isolated lepton or a misidentified
66 < lepton. The probability to misidentify one isolated lepton is rather low, so
67 < this is why we can considerer safely starting from two
68 < leptons. Moreover we will apply a cut on the invariant mass of the two
69 < isolated leptons so most of the background that we have to study are:\\
57 > \subsection{Signal and background Monte Carlo samples}
58 >
59 > The signal Monte Carlo sample is produced using {\sl PYTHIA}
60 > generator. The decay for the \W lepton is forced to $e\nu_e$,
61 > $\mu\nu_{\mu}$ or $\tau\nu_{\tau}$ final state, while the \Z decays
62 > into electrons or muons only.
63 >
64 > The background to the \WZ final state can be divided in physics and
65 > instrumental. The only physics background is from $Z^0Z^0$ production
66 > where one of the leptons is either mis-reconstructed or lost.
67 >
68 > The instrumental backgrounds are all due to mis-identified electron candidates
69 > from either jets or photons. These backgrounds include production of $\W$ and $\Z$ bosons
70 > with jets and $t\bar{t}$ processes and $Z^0\gamma$ process. The background from $W\gamma$
71 > production, where the $\gamma$ converts and produces a dielectron system is neglected
72 > due to a requirement on the $\ell^+\ell^-$ invariant mass to be consistent with the nominal \Z boson mass.
73 >
74 > All non-negligible instrumental backgrounds are summarized below.
75   \begin{itemize}
76 < \item $W+jets$: $W$ boson will give us one isolated leptons. The probability that 2 additional jets will be misidentified as isolated lepton is very low and the criteria on the lepton invariant mass will definitely reduce such background. This channel is nevertheless useful to study other background for which data sample are not available such as $Wb\bar{b}$. The sample studied for this analysis, has been produced using ALPGEN generator per jet bin.
77 < \item $Z + jets$: $Z$ boson is common between signal and background. The third isolated lepton can come from a misidentified lepton. The cross section of production of this channel is around 35 time greater than the signal.The sample studied for this analysis, has been produced using ALPGEN generator per jet bin.
78 < \item $t\bar{t}$: top quark will decay to \W$b$ pair where each $W$ can decay via an isolated leptons. This leptons will have opposite charged. Even though combining the two leptons, we will not obtain a peak around the \Z mass, the cross section of this process is around 15 time the cross section of the signal. The sample studied for this analysis, has been produced using ALPGEN generator per jet bin. The third lepton will come from a semi leptonic decay of a $b$ quark which will be isolated.
79 < \item $Z + b\bar{b}$: the presence of $Z$ boson will select such events. Moreover due to the semi leptonic decay of a $b$ quark, a third lepton can be easily identified and consider as isolated. The sample used has been produced by COMPHEP generator.
80 < %\item $ZZ$: the inclusive cross section production is smaller than the signal studied but due to branching fraction and if we consider $Z\rightarrow b\bar{b}$ decay, some events can pass the analysis selection. This process has been produced using PYTHIA generator.
76 > \item $\Z + jets$: this background is one of the dominant to the \WZ final state. Although
77 > the misidentification rate for a jet to be misidentified as a lepton is quite small, the
78 > $\Z+jets$ cross-section is 35 times larger than the signal one. We use the {\sl ALPGEN}
79 > generated official samples of $\Z+jet$ production Monte Carlo samples for different
80 > values of the jet transverse momentum.
81 > \item $t\bar{t}$: each of the top quarks decay into a $\W b$ pair producing at least two
82 > leptons and two $b$-quark jets. Although this process does not have a genuine $\Z$
83 > candidate and can be suppressed be a $\Z$ candidate invariant mass requirement,
84 > the probability for a $b$-quark jet to decay semi-leptonically and be misidentified
85 > as a lepton is higher than that from a light-quark jets. The cross-section of the $t\bar{t}$
86 > production is also exceed by about 15 times the cross-section of the \WZ production.
87 > Thus, this background is also one of the most dominant. We use the official $t\bar{t}$
88 > samples produced with {\sl ALPGEN} generator to estimate this background.
89 > \item $\Z + b\bar{b}$: this process is produced by the {\sl COMPHEP}
90 > generator and have a genuine $\Z$ candidate in the final state. One of the $b$-quark
91 > jets are misidentified as the third lepton from the $\W$ boson.
92 > \item $\W+jets$: in this process, the \W boson produces a genuine lepton,
93 > while the other two leptons are misidentified jets. As the misidentification
94 > probability is low, this channel does not contribute significantly to the \WZ
95 > final state. The additional \Z candidate invariant mass requirement suppresses
96 > this background further. We use the officially produced sample of $\W+jets$ processes
97 > for different number of jets in the final state generated by the {\sl ALPGEN}
98 > generator.
99 > \item $Z^0\gamma$: this process is calculated with {\sl PYTHIA}.
100   \end{itemize}
101 + The background sources that have \Z bosons described above are simulated with the
102 + contribution from the virtual photon.
103  
104 < All the different sample studied are part of the CSA07 production and
105 < have been generated using $CMSSW\_1\_4_\_6$ and went through the full
106 < GEANT simulation of the CMS detector using the same release. The
107 < digitization and reconstruction have been done using $CMSSW\_1\_6_\_7$
108 < release with a misalignment/miscalibration of the detector expected
109 < after 100~pb$^{-1}$ of data. All ALPGEN samples are mixed together in
104 > All the samples we use in this study are a part of the CSA07 production and
105 > are generated using $\mathrm{CMSSW}\_1\_4_\_6$ using the full {\sl GEANT}
106 > simulation of the CMS detector. The digitization and reconstruction are
107 > done using a newer $\mathrm{CMSSW}\_1\_6_\_7$ release with a
108 > misalignment/miscalibration of the detector scenario expected
109 > to be achieved after collection of $\sim$ 100~pb$^{-1}$ of data.
110 > All {\sl ALPGEN} samples are mixed together in further referred to as to a
111   ``Chowder soup''.
112  
113   The summary of all datasets used for signal and background is given in
114 < table~\ref{tab:MC}. We use the RECO production level to access to
114 > Table~\ref{tab:MC}. We use the RECO production level to access to
115   low-level detector information, such as reconstructed hits. This lets
116 < us to use full granularity of the CMS sub-detectors to use a isolation
116 > us to use full granularity of the CMS sub-detectors to use isolation
117   discriminants.
118  
119 < Analysis of the samples is done using CMSSW$\_1\_6\_7$ CMS software release.
120 < The information is stored in ROOT trees using a code in
119 > Analysis of the samples is done using CMSSW$\_1\_6\_7$ CMS software
120 > release. The information is stored in ROOT trees using a code in
121   CVS:/UserCode/Vuko/WZAnalysis, which is based on Physics Tools candidates.
122  
123   \begin{table}[!tb]
# Line 106 | Line 131 | CVS:/UserCode/Vuko/WZAnalysis, which is
131   %/CSA07AllEvents/CMSSW\_1\_6\_7-CSA07-Chowder-A1-PDAllEvents-ReReco-100pb/RECO
132   %& 25 M & event weights & - \\
133   \begin{tabular}{|c|c|c|c|c|} \hline
134 < Sample & cross section [pb]  & Events & Dataset name \\  \hline
135 < $WZ$  & 1.12 &  59K & /WZ/CMSSW$\_1\_6\_7$-CSA07-1195663763\\ \hline
136 < $Z b\bar{b}$  & 830*0.173 (NLO) & 1.9M & /comphep-bbll/CMSSW$\_1\_6\_7$-CSA07-1198677426\\ \hline
134 > Sample & cross section, pb  & Events & Dataset name \\  \hline
135 > $\WZ$  & 1.12 &  59K & /WZ/CMSSW$\_1\_6\_7$-CSA07-1195663763\\ \hline
136 > $\Z b\bar{b}$  & 830*0.173 (NLO) & 1.9M & /comphep-bbll/CMSSW$\_1\_6\_7$-CSA07-1198677426\\ \hline
137   Chowder  & Event Weight & $\sim$ 21M &  /CSA07AllEvents/\\ & & & CMSSW$\_1\_6\_7$-CSA07-Chowder-A1-PDAllEvents-ReReco
138   -100pb\\ \hline
139 < %$ZZ\rightarrow ll l'l'$&  0.846 &
140 < \hline
139 > $\Z\Z$ inclusive & 16.1 (NLO) & $\sim$ 140k & /ZZ$\_$incl/CMSSW$\_1\_6\_7$-CSA07-1194964234/RECO\\ \hline
140 > $\Z\gamma \rightarrow e^+e^-\gamma$ &  1.08 (NLO) &  $\sim$125k &/Zeegamma/CMSSW$\_1\_6\_7$-CSA07-1198935518/RECO \\ \hline
141 > $\Z\gamma \rightarrow \mu^+\mu^-\gamma$ &  1.08 (NLO) & $\sim$ 93k & /Zmumugamma/CMSSW$\_1\_6\_7$-CSA07-1194806860/RECO\\ \hline
142   \end{tabular}
143   \label{tab:MC}
144 < \caption{Monte Carlo samples used in this analysis}
144 > \caption{Monte Carlo samples used in this analysis using 100 pb$^{-1}$ scenario}
145   \end{table}
146  
147  

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