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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}. To
6 < accomodate 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.
5 > are generated with the leading order (LO) event generators
6 > {\sl PYTHIA}~\cite{Sjostrand:2003wg}, {\sl ALPGEN} and {\sl COMPHEP}.
7 > To accommodate next-to-leading (NLO) effects, constant $k$-factors are applied.
8 > Additionally, the cross section calculator {\sl MCFM}~\cite{Campbell:2005}
9 > is used to determine the NLO differential cross section for the $\WZ$
10 > production.  To estimate the uncertainty on the cross-section
11 > due to the choice of the PDF, we use NLO event generator
12 > {\sl MC@NLO 3.1}~\cite{Frixione:2002ik} together with CTEQ6M PDF set.
13  
14 + \subsection{Signal definition}
15  
16 < \subsection{Signal and Background Monte Carlo samples}
16 > The goal of this analysis is to study the associative production of the on-shell
17 > $\W$ and $\Z$ bosons that decay into three leptons and a neutrino. In the
18 > following we refer to a lepton to as either a muon or an electron, unless
19 > specified otherwise. The leptonic final state $\ell^+ \ell^- \ell^\pm \nu$ also receives a
20 > contribution from the $W\gamma^*$ production, where the $\gamma^*$ stands for a
21 > virtual photon through the $WW\gamma$ vertex. In this analysis, we
22 > restrict this contribution by requiring the $\ell^+\ell^-$ invariant mass to be
23 > consistent with the nominal $\Z$ boson mass. As CMS detector has a very
24 > good energy resolution for electrons and muons, the mass window
25 > is set to be $\pm$ 10 GeV around 91 GeV.
26 >
27 > Using {\sl MCFM} we estimate the total NLO $\WZ$ cross-section to be
28 > \begin{equation}
29 > \sigma_{NLO} ( pp \rightarrow W^+\Z; \sqrt{s}=14~{\rm TeV}) = 30.5~{\rm pb},
30 > \end{equation}
31 > \begin{equation}
32 > \sigma_{NLO} ( pp \rightarrow W^-\Z; \sqrt{s}=14~{\rm TeV}) = 19.1~{\rm pb}.
33 > \end{equation}
34 >
35 > The LO and NLO distributions of the \Z boson transverse momentum are
36 > shown in Fig.~\ref{fig:LOvsNLO} with the case of $W^+$ on the left and $W^-$
37 > on the right side. The NLO/LO ratio, $k$-factor, is also presented on the figure,
38 > and it is increasing with $p_T(\Z)$.  We take into account the $p_T$ dependence
39 > by re-weighting the LO Monte Carlo simulation as a function of the $p_T(\Z)$.
40 > %
41 > %
42 > %The $p_T$ dependence of the $k$-factor
43 > %becomes important when a proper NLO description of the $\Z$ boson transverse
44 > %momentum must be obtained, $e.g$ to measure the strength of the $WWZ$ coupling.
45 > %As the focus of this analysis is to prepare for the cross-section measurement,
46 > %we take a $p_{T}$-averaged value of the $k$-factor, equal to 1.84.
47 >
48 > \begin{figure}[!bt]
49 >  \begin{center}
50 >  \scalebox{0.8}{\includegraphics{figs/LOvsNLOZPtWminuns.eps}\includegraphics{figs/LOvsNLOZPtWplus.eps}}
51 >  \caption{$p_T(Z)$ distribution for LO (solid black histogram) and NLO (dashed black histogram)
52 >  in $W^-\Z$ events (left) and  $W^+\Z$ events (right). The ratio NLO/LO is also given as a red
53 >  solid line.
54 > }
55 >  \label{fig:LOvsNLO}
56 >  \end{center}
57 > \end{figure}
58 >
59 > %# for bbll:
60 > %#CS NLO ((Z/gamma*->l+l-)bb) = 830pb = 345 pb * 2.4, where:
61 > %#- 345 pb is LO CS calculated with precision of ~0.15%
62 > %#- 2.4 is MCMF calculated k-factor with precision ~30% (!)
63 > %# 830x0.173 (== XS x eff.) = 143.59pb
64 >
65 >
66 > \subsection{Signal and background Monte Carlo samples}
67 >
68 > The signal Monte Carlo sample is produced using {\sl PYTHIA}
69 > generator. The decay for the \W lepton is forced to $e\nu_e$,
70 > $\mu\nu_{\mu}$ or $\tau\nu_{\tau}$ final state, while the \Z decays
71 > into electrons or muons only.
72 >
73 > The background to the \WZ final state can be divided in physics and
74 > instrumental. Physics background includes the contributions from
75 > either converted photons that produce isolated leptons misidentified
76 > as a decay products of $\W$ or $\Z$ bosons, or genuine leptons from
77 > diboson processes. The only non-negligible physics backgrounds are
78 > $\Z\gamma$ and $\Z\Z$ processes officially produced with {\sl PYTHIA}
79 > generator.
80 >
81 > The instrumental backgrounds are all include jets that are misidentified
82 > as isolated leptons. These include production of $\W$ and $\Z$ bosons
83 > with jets and $t\bar{t}$ processes. We summarize the instrumental background
84 > processes below.
85 >
86 > \begin{itemize}
87 > \item $\Z + jets$: this background is one of the dominant to the \WZ final state. Although
88 > the misidentification rate for a jet to be misidentified as a lepton is quite small, the
89 > $\Z+jets$ cross-section is 35 times larger than the signal one. We use the {\sl ALPGEN}
90 > generated official samples of $\Z+jet$ production Monte Carlo samples for different
91 > values of the jet transverse momentum.
92 > \item $t\bar{t}$: each of the top quarks decay into a $\W b$ pair producing at least two
93 > leptons and two $b$-quark jets. Although this process does not have a genuine $\Z$
94 > candidate and can be suppressed be a $\Z$ candidate invariant mass requirement,
95 > the probability for a $b$-quark jet to decay semi-leptonically and be misidentified
96 > as a lepton is higher than that from a light-quark jets. The cross-section of the $t\bar{t}$
97 > production is also exceed by about 15 times the cross-section of the \WZ production.
98 > Thus, this background is also one of the most dominant. We use the official $t\bar{t}$
99 > samples produced with {\sl ALPGEN} generator to estimate this background.
100 > \item $\Z + b\bar{b}$: this process is produced by the {\sl COMPHEP}
101 > generator and have a genuine $\Z$ candidate in the final state. One of the $b$-quark
102 > jets are misidentified as the third lepton from the $\W$ boson.
103 > \item $\W+jets$: in this process, the \W boson produces a genuine lepton,
104 > while the other two leptons are misidentified jets. As the misidentification
105 > probability is low, this channel does not contribute significantly to the \WZ
106 > final state. The additional \Z candidate invariant mass requirement suppresses
107 > this background further. We use the officially produced sample of $\W+jets$ processes
108 > for different number of jets in the final state generated by the {\sl ALPGEN}
109 > generator.
110 > \end{itemize}
111 >
112 > All the samples we use in this study are a part of the CSA07 production and
113 > are generated using $\mathrm{CMSSW}\_1\_4_\_6$ using the full {\sl GEANT}
114 > simulation of the CMS detector. The digitization and reconstruction are
115 > done using a newer $\mathrm{CMSSW}\_1\_6_\_7$ release with a
116 > misalignment/miscalibration of the detector scenario expected
117 > to be achieved after collection of $\sim$ 100~pb$^{-1}$ of data.
118 > All {\sl ALPGEN} samples are mixed together in further referred to as to a
119 > ``Chowder soup''.
120 >
121 > The summary of all datasets used for signal and background is given in
122 > Table~\ref{tab:MC}. We use the RECO production level to access to
123 > low-level detector information, such as reconstructed hits. This lets
124 > us to use full granularity of the CMS sub-detectors to use isolation
125 > discriminants.
126 >
127 > Analysis of the samples is done using CMSSW$\_1\_6\_7$ CMS software
128 > release. The information is stored in ROOT trees using a code in
129 > CVS:/UserCode/Vuko/WZAnalysis, which is based on Physics Tools candidates.
130 >
131 > \begin{table}[!tb]
132 > %\begin{tabular}{llllll} \hline
133 > %Sample & Generator & Sample name & Events & $\sigma \cdot \epsilon
134 > %\cdot k$ & k-factor \\ \hline WZ & Pythia &
135 > %/WZ/CMSSW\_1\_6\_7-CSA07-1195663763/RECO & 58897 & 0.585 pb & 1.92 \\
136 > %$Zb\bar{b}$ & COMPHEP &
137 > %/comphep-bbll/CMSSW\_1\_6\_7-CSA07-1198677426/RECO & 143.59 pb & 2.4
138 > %\\ ``Chowder'' & ALPGEN &
139 > %/CSA07AllEvents/CMSSW\_1\_6\_7-CSA07-Chowder-A1-PDAllEvents-ReReco-100pb/RECO
140 > %& 25 M & event weights & - \\
141 > \begin{tabular}{|c|c|c|c|c|} \hline
142 > Sample & cross section, pb  & Events & Dataset name \\  \hline
143 > $\WZ$  & 1.12 &  59K & /WZ/CMSSW$\_1\_6\_7$-CSA07-1195663763\\ \hline
144 > $\Z b\bar{b}$  & 830*0.173 (NLO) & 1.9M & /comphep-bbll/CMSSW$\_1\_6\_7$-CSA07-1198677426\\ \hline
145 > Chowder  & Event Weight & $\sim$ 21M &  /CSA07AllEvents/\\ & & & CMSSW$\_1\_6\_7$-CSA07-Chowder-A1-PDAllEvents-ReReco
146 > -100pb\\ \hline
147 > $\Z\Z$ inclusive & 16.1 (NLO) & $\sim$ 140k & /ZZ$\_$incl/CMSSW$\_1\_6\_7$-CSA07-1194964234/RECO\\ \hline
148 > $\Z\gamma \rightarrow e^+e^-\gamma$ &  1.08 (NLO) &  $\sim$125k &/Zeegamma/CMSSW$\_1\_6\_7$-CSA07-1198935518/RECO \\ \hline
149 > $\Z\gamma \rightarrow \mu^+\mu^-\gamma$ &  1.08 (NLO) & $\sim$ 93k & /Zmumugamma/CMSSW$\_1\_6\_7$-CSA07-1194806860/RECO\\ \hline
150 > \end{tabular}
151 > \label{tab:MC}
152 > \caption{Monte Carlo samples used in this analysis using 100 pb$^{-1}$ scenario}
153 > \end{table}
154  
155  
156  

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