| 2 |
|
\label{sec:gen} |
| 3 |
|
\subsection{Monte Carlo generators} |
| 4 |
|
The signal and background samples for the full detector simulation |
| 5 |
< |
are generated with the leading order event generator |
| 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. |
| 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 |
< |
\subsection{Signal definition} |
| 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 |
| 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. 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 |
< |
%%%%%%%%%%%%%%% |
| 28 |
< |
% YM modified before this mark |
| 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} with the case of $W^+$ on the left and $W^-$ |
| 32 |
> |
on the right side. The NLO/LO ratio, $k$-factor, is also presented on the figure, |
| 33 |
> |
and it is increasing with $p_T(\Z)$. We take into account the $p_T$ dependence |
| 34 |
> |
by re-weighting the LO Monte Carlo simulation as a function of the $p_T(\Z)$. |
| 35 |
> |
% |
| 36 |
> |
% |
| 37 |
> |
%The $p_T$ dependence of the $k$-factor |
| 38 |
> |
%becomes important when a proper NLO description of the $\Z$ boson transverse |
| 39 |
> |
%momentum must be obtained, $e.g$ to measure the strength of the $WWZ$ coupling. |
| 40 |
> |
%As the focus of this analysis is to prepare for the cross-section measurement, |
| 41 |
> |
%we take a $p_{T}$-averaged value of the $k$-factor, equal to 1.84. |
| 42 |
|
|
| 43 |
|
\begin{figure}[!bt] |
| 44 |
|
\begin{center} |
| 45 |
|
\scalebox{0.8}{\includegraphics{figs/LOvsNLOZPtWminuns.eps}\includegraphics{figs/LOvsNLOZPtWplus.eps}} |
| 46 |
< |
\caption{$P_T(Z)$ in $W^-Z$ events on the left and $W^+Z$ events on the right |
| 47 |
< |
distribution for LO and NLO calculation. The ratio NLO/LO is also given. |
| 46 |
> |
\caption{$p_T(Z)$ distribution for LO (solid black histogram) and NLO (dashed black histogram) |
| 47 |
> |
in $W^-\Z$ events (left) and $W^+\Z$ events (right). The ratio NLO/LO is also given as a red |
| 48 |
> |
solid line. |
| 49 |
|
} |
| 50 |
|
\label{fig:LOvsNLO} |
| 51 |
|
\end{center} |
| 58 |
|
%# 830x0.173 (== XS x eff.) = 143.59pb |
| 59 |
|
|
| 60 |
|
|
| 61 |
< |
\subsection{Signal and Background Monte Carlo samples} |
| 62 |
< |
The signal monte carlo sample has been produced using PYTHIA |
| 63 |
< |
generator. The decay for the \W has been forced to be in $e\nu_e$ or |
| 64 |
< |
$\mu\nu_{mu}$ or $\tau\nu_{\tau}$ while the \Z is decaying into electrons |
| 65 |
< |
or muons only. |
| 66 |
< |
|
| 67 |
< |
The main background that we have to consider are all final states |
| 68 |
< |
having at least two isolated leptons from the same flavor and with |
| 69 |
< |
opposite charge. The third one can be a real isolated lepton or a misidentified |
| 70 |
< |
lepton. The probability to misidentify one isolated lepton is rather low, so |
| 71 |
< |
this is why we can considerer safely starting from two |
| 72 |
< |
leptons. Moreover we will apply a cut on the invariant mass of the two |
| 73 |
< |
isolated leptons so most of the background that we have to study are:\\ |
| 61 |
> |
\subsection{Signal and background Monte Carlo samples} |
| 62 |
> |
|
| 63 |
> |
The signal Monte Carlo sample is produced using {\sl PYTHIA} |
| 64 |
> |
generator. The decay for the \W lepton is forced to $e\nu_e$, |
| 65 |
> |
$\mu\nu_{\mu}$ or $\tau\nu_{\tau}$ final state, while the \Z decays |
| 66 |
> |
into electrons or muons only. |
| 67 |
> |
|
| 68 |
> |
The background to the \WZ final state can be divided in physics and |
| 69 |
> |
instrumental. The only physics background is from $Z^0Z^0$ production |
| 70 |
> |
where one of the leptons is either mis-reconstructed or lost. |
| 71 |
> |
|
| 72 |
> |
The instrumental backgrounds are all due to mis-identified electron candidates |
| 73 |
> |
from either jets or photons. These backgrounds include production of $\W$ and $\Z$ bosons |
| 74 |
> |
with jets and $t\bar{t}$ processes and $Z^0\gamma$ process. The background from $W\gamma$ |
| 75 |
> |
production, where the $\gamma$ converts and produces a dielectron system is neglected |
| 76 |
> |
due to a requirement on the $\ell^+\ell^-$ invariant mass to be consistent with the nominal \Z boson mass. |
| 77 |
> |
|
| 78 |
> |
All non-negligible instrumental backgrounds are summarized below. |
| 79 |
|
\begin{itemize} |
| 80 |
< |
\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. |
| 81 |
< |
\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. |
| 82 |
< |
\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. |
| 83 |
< |
\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. |
| 84 |
< |
%\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. |
| 80 |
> |
\item $\Z + jets$: this background is one of the dominant to the \WZ final state. Although |
| 81 |
> |
the misidentification rate for a jet to be misidentified as a lepton is quite small, the |
| 82 |
> |
$\Z+jets$ cross-section is 35 times larger than the signal one. We use the {\sl ALPGEN} |
| 83 |
> |
generated official samples of $\Z+jet$ production Monte Carlo samples for different |
| 84 |
> |
values of the jet transverse momentum. |
| 85 |
> |
\item $t\bar{t}$: each of the top quarks decay into a $\W b$ pair producing at least two |
| 86 |
> |
leptons and two $b$-quark jets. Although this process does not have a genuine $\Z$ |
| 87 |
> |
candidate and can be suppressed be a $\Z$ candidate invariant mass requirement, |
| 88 |
> |
the probability for a $b$-quark jet to decay semi-leptonically and be misidentified |
| 89 |
> |
as a lepton is higher than that from a light-quark jets. The cross-section of the $t\bar{t}$ |
| 90 |
> |
production is also exceed by about 15 times the cross-section of the \WZ production. |
| 91 |
> |
Thus, this background is also one of the most dominant. We use the official $t\bar{t}$ |
| 92 |
> |
samples produced with {\sl ALPGEN} generator to estimate this background. |
| 93 |
> |
\item $\Z + b\bar{b}$: this process is produced by the {\sl COMPHEP} |
| 94 |
> |
generator and have a genuine $\Z$ candidate in the final state. One of the $b$-quark |
| 95 |
> |
jets are misidentified as the third lepton from the $\W$ boson. |
| 96 |
> |
\item $\W+jets$: in this process, the \W boson produces a genuine lepton, |
| 97 |
> |
while the other two leptons are misidentified jets. As the misidentification |
| 98 |
> |
probability is low, this channel does not contribute significantly to the \WZ |
| 99 |
> |
final state. The additional \Z candidate invariant mass requirement suppresses |
| 100 |
> |
this background further. We use the officially produced sample of $\W+jets$ processes |
| 101 |
> |
for different number of jets in the final state generated by the {\sl ALPGEN} |
| 102 |
> |
generator. |
| 103 |
> |
\item $Z^0\gamma$: this process is calculated with {\sl PYTHIA}. |
| 104 |
|
\end{itemize} |
| 105 |
+ |
The background sources that have \Z bosons described above are simulated with the |
| 106 |
+ |
contribution from the virtual photon. |
| 107 |
|
|
| 108 |
< |
All the different sample studied are part of the CSA07 production and |
| 109 |
< |
have been generated using $CMSSW\_1\_4_\_6$ and went through the full |
| 110 |
< |
GEANT simulation of the CMS detector using the same release. The |
| 111 |
< |
digitization and reconstruction have been done using $CMSSW\_1\_6_\_7$ |
| 112 |
< |
release with a misalignment/miscalibration of the detector expected |
| 113 |
< |
after 100~pb$^{-1}$ of data. All ALPGEN samples are mixed together in |
| 108 |
> |
All the samples we use in this study are a part of the CSA07 production and |
| 109 |
> |
are generated using $\mathrm{CMSSW}\_1\_4_\_6$ using the full {\sl GEANT} |
| 110 |
> |
simulation of the CMS detector. The digitization and reconstruction are |
| 111 |
> |
done using a newer $\mathrm{CMSSW}\_1\_6_\_7$ release with a |
| 112 |
> |
misalignment/miscalibration of the detector scenario expected |
| 113 |
> |
to be achieved after collection of $\sim$ 100~pb$^{-1}$ of data. |
| 114 |
> |
All {\sl ALPGEN} samples are mixed together in further referred to as to a |
| 115 |
|
``Chowder soup''. |
| 116 |
|
|
| 117 |
|
The summary of all datasets used for signal and background is given in |
| 118 |
< |
table~\ref{tab:MC}. We use the RECO production level to access to |
| 118 |
> |
Table~\ref{tab:MC}. We use the RECO production level to access to |
| 119 |
|
low-level detector information, such as reconstructed hits. This lets |
| 120 |
< |
us to use full granularity of the CMS sub-detectors to use a isolation |
| 120 |
> |
us to use full granularity of the CMS sub-detectors to use isolation |
| 121 |
|
discriminants. |
| 122 |
|
|
| 123 |
< |
Analysis of the samples is done using CMSSW$\_1\_6\_7$ CMS software release. |
| 124 |
< |
The information is stored in ROOT trees using a code in |
| 123 |
> |
Analysis of the samples is done using CMSSW$\_1\_6\_7$ CMS software |
| 124 |
> |
release. The information is stored in ROOT trees using a code in |
| 125 |
|
CVS:/UserCode/Vuko/WZAnalysis, which is based on Physics Tools candidates. |
| 126 |
|
|
| 127 |
|
\begin{table}[!tb] |
| 135 |
|
%/CSA07AllEvents/CMSSW\_1\_6\_7-CSA07-Chowder-A1-PDAllEvents-ReReco-100pb/RECO |
| 136 |
|
%& 25 M & event weights & - \\ |
| 137 |
|
\begin{tabular}{|c|c|c|c|c|} \hline |
| 138 |
< |
Sample & cross section [pb] & Events & Dataset name \\ \hline |
| 139 |
< |
$WZ$ & 1.12 & 59K & /WZ/CMSSW$\_1\_6\_7$-CSA07-1195663763\\ \hline |
| 140 |
< |
$Z b\bar{b}$ & 830*0.173 (NLO) & 1.9M & /comphep-bbll/CMSSW$\_1\_6\_7$-CSA07-1198677426\\ \hline |
| 138 |
> |
Sample & cross section, pb & Events & Dataset name \\ \hline |
| 139 |
> |
$\WZ$ & 1.12 & 59K & /WZ/CMSSW$\_1\_6\_7$-CSA07-1195663763\\ \hline |
| 140 |
> |
$\Z b\bar{b}$ & 830*0.173 (NLO) & 1.9M & /comphep-bbll/CMSSW$\_1\_6\_7$-CSA07-1198677426\\ \hline |
| 141 |
|
Chowder & Event Weight & $\sim$ 21M & /CSA07AllEvents/\\ & & & CMSSW$\_1\_6\_7$-CSA07-Chowder-A1-PDAllEvents-ReReco |
| 142 |
|
-100pb\\ \hline |
| 143 |
< |
%$ZZ\rightarrow ll l'l'$& 0.846 & |
| 144 |
< |
%\hline |
| 143 |
> |
$\Z\Z$ inclusive & 16.1 (NLO) & $\sim$ 140k & /ZZ$\_$incl/CMSSW$\_1\_6\_7$-CSA07-1194964234/RECO\\ \hline |
| 144 |
> |
$\Z\gamma \rightarrow e^+e^-\gamma$ & 1.08 (NLO) & $\sim$125k &/Zeegamma/CMSSW$\_1\_6\_7$-CSA07-1198935518/RECO \\ \hline |
| 145 |
> |
$\Z\gamma \rightarrow \mu^+\mu^-\gamma$ & 1.08 (NLO) & $\sim$ 93k & /Zmumugamma/CMSSW$\_1\_6\_7$-CSA07-1194806860/RECO\\ \hline |
| 146 |
|
\end{tabular} |
| 147 |
|
\label{tab:MC} |
| 148 |
< |
\caption{Monte Carlo samples used in this analysis} |
| 148 |
> |
\caption{Monte Carlo samples used in this analysis using 100 pb$^{-1}$ scenario} |
| 149 |
|
\end{table} |
| 150 |
|
|
| 151 |
|
|
