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Revision 1.5 by vuko, Sat Jun 21 15:32:35 2008 UTC vs.
Revision 1.8 by beaucero, Sun Jun 22 23:20:41 2008 UTC

# Line 1 | Line 1
1   \section{Signal extraction}
2 < %\label{sec:gen}
2 > \label{sec:SignalExt}
3 > Two kind of background are affected this analysis: background having
4 > already a $Z$ boson in the final state such as $Z+jets$ and
5 > $Z+b\bar{b}$, background without a $Z$ boson such as $W+jets$ and
6 > $t\bar{t}$. The first one will be peaking as the signal in the $Z$
7 > mass distribution while the second should be flat.As a starting point,
8 > we will use this properties to separate the two background.
9 >
10 > \subsection{Study of non peaking background}
11 > In order to measure this background, a fit of the signal and
12 > background is done. In order to fit the signal peak we use a Gaussian
13 > convulated with a Breit-Wigner. The background is fitted by a line.
14 > An example of the fit of the distribution composed by the sum of
15 > signal and background for the 3 electrons final state is shown on
16 > figure~\ref{fig:ZFit}.
17 > \begin{figure}[!bp]
18 >  \begin{center}
19 >  \scalebox{0.4}{\includegraphics{figs/FitBkg3eTight.eps}}
20 >  \caption{$Z$ mass distribution which contains the sum of signal and background on which a fit is performed to extract the number of non peaking background events within the 81 GeV and 101GeV.}
21 >  \label{fig:ZFit}
22 >  \end{center}
23 > \end{figure}
24 >
25 > The comparison between the Monte Carlo information and the value
26 > obtain by the fit for a $Z$ mass range [81,101] GeV is given in
27 > table~\ref{tab:FitVsMC}.
28 >
29 > \begin{table}[!tb]
30 > \begin{center}
31 >
32 > \begin{tabular}{|l|c|c|c|c|c|c|c|} \hline
33 > Channel    & $Z+jets$ & $Zb\bar{b}$ & $t\bar{t}$ & $W+jets$ & $t\bar{t}$ + $W+jets$ & Fit result \\ \hline
34 > $3e$ Loose & 196.5 & 67.4 & 35.7 & 0 & 35.7& 37.8 \\ \hline
35 > $3e$ Tight & 78.9 & 38.5 & 28.1 & 0 & 28.1 & 32.9 \\ \hline  
36 > $2\mu 1e$ Loose & 189.6 & 52.6 & 4.7 & 0 & 4.7 & 5.7 \\ \hline
37 > $2\mu 1e$ Tight & 63.1 & 18.2 & 1.3 & 0 & 1.3 & 1.5 \\ \hline
38 > $2e1\mu$   & 10.4 & 9.1 & 30.7 & 2.9 & 33.6 & 29.2 \\ \hline
39 > $3\mu$     & 1.9 & 7.7 & 0.7 & 0 & 0.7 & 0\\ \hline
40 > \end{tabular}
41 >
42 > \end{center}
43 > \caption{Comparison between monte carlo expectation for the analysis and the results of the fit for the non peaking background. Number of event are integrated between [81,101] GeV. The Loose and Tight criteria apply so far, for final state where $W\rightarrow e\nu$. One has to consider that this study as been perform on a smaller sample than the other part of the analysis a 10\% statistics error as to be counted until the study is performed on the whole samples.
44 > }
45 > \label{tab:FitVsMC}
46 > \end{table}
47 >
48 >
49 > \subsection{Study of peaking background}
50 > \label{sec:D0Matrix}
51   The probability to misidentify a jet as a muon is very low while for
52   the case of the electron, $\pi^0$ in jets can be misidentified as
53   electrons. When considering the subtraction of the background in this
54   analysis, we will mainly concentrate on the final state where the $W$
55 < is decaying to an electron. For the muon case, the subtraction can be
56 < done using Monte Carlo sample and assigning a large error on this
9 < estimation.
55 > is decaying to an electron. The same studies is still on going for the
56 > muon case.
57  
58 < \subsection{Z+jets background fraction}
58 > \subsubsection{Z+jets background fraction}
59   The main background remaining even after having applied all our selection
60   in the case of the $W$ decaying to electron is the $Z+jets$
61   production. As signal and background have a \Z boson in the final
# Line 35 | Line 82 | as a loose electron to be also identifie
82   solving this set of equations we obtain:
83   $$
84   N_e     = \frac{N_{tight}-p_{fake} N_{loose}} { \epsilon_{tight} -p_{fake}} \ \ \ \mbox{and} \ \ \
85 < N_{j} = \frac{ \epsilon_{track} N_{loose} - N_e}{  \epsilon_{tight} -p_{fake}}
85 > N_{j} = \frac{ \epsilon_{tight} N_{loose} - N_e}{  \epsilon_{tight} -p_{fake}}
86   $$
87  
88   The estimation of $\epsilon_{tight}$ and $p_{fake}$ can be done using control
# Line 44 | Line 91 | method is used to determine signal effic
91   will be derived from $Z \to e^+e^-$ samples. In the following section we
92   describe the method used to determine $p_{fake}$.
93  
94 < \subsection{Determination of $p_{fake}$}
94 > \subsubsection{Determination of $p_{fake}$}
95  
96   As the events will be most of the time triggered by the leptons coming
97   from \Z boson, we assume that the third lepton is unbiased toward
# Line 55 | Line 102 | a sample in data, one has to avoid any b
102   requirements on the loose electron candidate.
103   %Such sample will not
104   %exist in data as they will be bias by the trigger requirement.
105 + \begin{figure}[bt]
106 +  \begin{center}
107 +  \scalebox{0.6}{\includegraphics{figs/tight_eff_gumbo.eps}}
108 +  \caption{Fraction of electron candidates passing the tight criteria
109 +    in QCD event. No trigger requirement has been applied.}
110 +  \label{fig:qcd_efftight_noHLT}
111 +  \end{center}
112 + \end{figure}
113  
114   From a sample of multi-jet events triggered by an ``OR'' of multi-jet
115   triggers, we will select loose electron candidates that are not
# Line 72 | Line 127 | electrons and the $p_{fake}$ is simply t
127   population. This ratio, given as a function of $Pt$ and $\eta$, is
128   showed in plots \ref{fig:qcd_zjet_est}.
129  
130 < \subsection{Determination of $\epsilon_{tight}$}
130 > \subsubsection{Determination of $\epsilon_{tight}$}
131 > TO BE WRITTEN... SRECKO???

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