1 | \documentclass[a4paper,11pt,oneside]{article}
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2 | \usepackage[english]{babel}
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3 | \usepackage[ansinew]{inputenc}
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4 |
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5 | \usepackage[dvips]{graphicx}
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6 | \graphicspath{{figures/}}
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7 |
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8 | \usepackage{amsmath}
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9 | \usepackage{epic}
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10 | \usepackage{wrapfig}
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11 | \usepackage{eepic}
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12 | \usepackage{color}
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13 | \usepackage{latexsym}
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14 | \usepackage{array}
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15 |
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16 | \usepackage{fancyhdr}
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17 | \usepackage{verbatim}
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18 | \addtolength{\textwidth}{4cm} \addtolength{\hoffset}{-2cm}
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19 | \begin{document}
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20 |
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21 | \section*{Abstract}
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22 |
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23 | \section{Introduction}
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24 | % Motiver l'utilisation d'un simulateur rapide
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25 | % - 1) rapide VS lent
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26 | % - 2) relativement bonne prédiction en premiÚre approximation
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27 | % - 3) permet de comparer
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28 | Full simulation of the response of large detectors components to high energy particles requires a lot of computing resources. Moreover, a good knowledge of the exact geometry of subdetectors and dead material content is mandatory.
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29 |
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30 | Fast simulation can be a powerful predictive tool for typical response of a large detector in high energy collider.
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31 |
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32 | The fast simulation of the detector response takes into account geometrical
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33 | acceptance of sub-detectors and their finite energy resolution, no smearing is
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34 | applied on particle direction. Charged particles, once are in the fiducial
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35 | volume of the detector are assumed to be reconstructed with $100\%$ probability.
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36 | The energy of each particle produced after hadronization, with a lifetime
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37 | $c\tau$ bigger than $10~\textrm{mm}$ is then smeared according to detectors along
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38 | particule's direction. For particles with a short lifetime such as the $K_s$,
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39 | the fraction of electromagnetic or hadronic energy is determined according to
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40 | its decay products. The calorimeter is assumed to cover the pseudorapidity range
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41 | $|\eta|<3$ and consists in an electromagnetic and an hadronic part. The energy
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42 | resolution is given by $\sigma_{E}/E=0.05/\sqrt{E} \oplus 0.25/E \oplus 0.0055$
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43 | for the electromagnetic part and by $\sigma_{E}/E=0.91/\sqrt{E}\oplus 0.038$ for
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44 | the hadronic part, where the energy is given in GeV. A very forward calorimeter
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45 | is assumed to cover $3<|\eta|<5$ with an electromagnetic and hadronic energy
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46 | resolution function given by $\sigma_{E}/E=1.5/\sqrt{E}\oplus 0.06$ and
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47 | $\sigma_{E}/E=2.7/\sqrt{E}\oplus 0.13$ respectively.\\
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48 |
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49 | \begin{figure}[!h]
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50 | \begin{center}
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51 | \includegraphics[width=0.7\textwidth]{detectorAng.eps}
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52 | \caption{\small{detectorAng.eps}}
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53 | \label{h_WW_ss_cut1}
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54 | \end{center}
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55 | \end{figure}
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56 |
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57 |
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58 | The acceptance cuts applied on leptons and jets used in this section are the
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59 | following :\\
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60 |
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61 | \begin{itemize}
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62 |
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63 | \item Electrons and muons are reconstructed if they fall into the acceptance of
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64 | the tracker, assumed to be $|\eta|<2.5$, and have to have a transverse momentum
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65 | above 10~GeV (the energy resolution of muons is taken to be the same as for
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66 | electrons). Lepton isolation demands that there is no other charged particles
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67 | with $p_T>2$~GeV within a cone of $\Delta R<0.5$ around the lepton.\\
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68 |
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69 | \item Jets are reconstructed using a cone algorithm with $R=0.7$ and make only
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70 | use of the smeared particle momenta. The reconstructed jets are required to have
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71 | a transverse momentum above 20~GeV and $|\eta|<3.0$. A jet is tagged as $b$-jets
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72 | if its direction lies in the acceptance of the tracker, $|\eta|<0.5$, and if it
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73 | is associated to a parent $b$-quark. A $b$-tagging efficiency of $40\%$ is
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74 | assumed if the jet has a parent $b$ quark. For $c$-jets and light/gluon jets, a
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75 | fake
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76 | b-tagging efficiency of $10 \%$ and $1 \%$ respectively is assumed.\\
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77 |
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78 | \item A jet is tagged as a $\tau$-jet if more than $90\%$ of its energy is
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79 | localized in a cone of $\Delta R=0.15$ around its axis. Moreover, this jet must
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80 | have its direction in the acceptance of the tracker and have exactly one charged
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81 | particle with $p_{T}>2$~GeV within a cone $\Delta R<0.4$ around the jet axis.
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82 | This procedure selects taus decaying hadronically with a typical efficiency of
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83 | $60\%$. Moreover, the minimal $p_T$ of the $\tau$-jet is required to be
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84 | 10~GeV.\\
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85 |
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86 | \end{itemize}
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87 |
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88 | \section{implementation}
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89 | \subsection{Electron smearing}
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90 | The smearing of the electron 4-momentum $p^\mu$ is
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91 | - if the electron is in the tracker ($\eta < MAX\_TRACKER$)
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92 | Gaussian smearing with $\sigma = ELG_Ccen*E \oplus ELG_Ncen \oplus
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93 | ELG_Scen*\sqrt{E}$
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94 | - else Gaussian smearing with $\sigma = ELS_Cfwd*E \oplus ELG_Sfwd*\sqrt{E}$
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95 | function \texttt{SmearElectron}
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96 | Only the energy $E$ is smeared, but neither $\eta$ nor $\phi$.
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97 | No negative values for the energy after smearing. If so, the $4$-momentum is set
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98 | to $(0,0,0,0)$.
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99 | \textbf{For the moment, electrons with $|\eta|> 5$ are also smeared !!!}
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100 |
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101 | \subsection{Muon smearing}
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102 | The smearing ot the muon 4-momentum $p^\mu$ is given
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103 | by a Gaussian smearing of the $p_T$
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104 | function \texttt{SmearMuon}
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105 | Only the $p_T$ is smeared, but neither $\eta$ nor $\phi$.
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106 | No negative values for the energy after smearing. If so, the 4-momentum is set
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107 | to $(0,0,0,0)$.
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108 |
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109 | \subsection{Hadron smearing}
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110 | The energy of the hadron is smeared in the following ways:
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111 | - if the hadron is in the central calorimeter (eta < MAX\_CALO\_CEN)
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112 | Gaussian smearing with $\sigma = HAD_Chcal*E_{hcal} \oplus HAD_Nhcal
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113 | \oplus HAD_Shcal*\sqrt{E_{hcal}}
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114 | + HAD_Cecal*E_{ecal} \oplus HAD_Necal
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115 | \oplus HAD_Secal*\sqrt{E_{ecal}}$
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116 | where $E_{hcal} + E_{ecal} = E$. As some long-living particles decay in
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117 | the calorimeters,
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118 | some of them decay mostly in the ECAL, some mostly in the HCAL.
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119 | $E_{hcal}$ and $E_{ecal}$ are
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120 | given by $E_{hcal} = E \times F$ and $E_{ecal} = E times (1-F)$, where
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121 | $F$ is a fraction
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122 | $0 \leq F \leq 1$ describing each particles. By default, $F=1.$ but is
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123 | $F=0.7$ for $K^0_S$ and $\Lambda$.
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124 | - if the hadron is somewhere else (\textbf{even outside the forward
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125 | calorimeters !!!})
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126 | Gaussian smearing with $\sigma = HAD_Chf*E \oplus HAD_Nhf \oplus
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127 | HAD_Shf*\sqrt{E}$
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128 |
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129 | Ainsi, pour les particules considérées comme stables par PYTHIA
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130 | mais non stables dans un détecteur tel CMS ($c\tau < 4m$), les
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131 | dépÎts laissés dans les différents détecteurs sont directement
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132 | liés aux modes de désintégrations de ces particules. Les
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133 | hypothÚses des dépÎts d'énergie sont données dans le tableau
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134 | \ref{depot}.\newline
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135 |
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136 | \begin{table}[!h]
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137 | \begin{center}
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138 | \begin{tabular}{|c|c|c|c|c|c|}
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139 | \hline
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140 | \emph{Particules stables} & \emph{Stable} &\emph{Mode de}
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141 | &$\Gamma_{i}/\Gamma$&\emph{Dépot}&\emph{Dépot}\\
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142 | \emph{dans PYTHIA}&\emph{dans
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143 | CMS}&\emph{desintégration}&&\emph{ECAL}&\emph{HCAL}\\\hline\hline
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144 | $\pi^{\pm}$ & oui & & & 0 & 1 \\ \hline $K^{\pm}$ & oui & & & 0 &
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145 | 1 \\\hline $K^{0}_{S}$ & non & $\gamma\gamma\gamma\gamma$ & 0.31 &
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146 | 0.3 & 0.7\\
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147 | & & $\pi^{+}\pi^{-}$& 0.69 &&\\\hline $K^{0}_{L}$ & oui & & & 0 &
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148 | 1\\\hline $\Lambda^{0}$ & non & $\pi^{-}p/\pi^{+}\overline{p}$ &
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149 | 0.64&
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150 | 0.3 & 0.7\\
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151 | & & $n\pi^{0}$ & 0.36 & & \\\hline $\gamma$& oui & & & 1
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152 | &0\\\hline
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153 | \end{tabular}
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154 | \caption{HypothÚses des dépÎts d'énergie pour les particules les
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155 | plus abondantes des jets.} \label{depot}
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156 | \end{center}
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157 | \end{table}
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158 |
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159 |
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160 | function \texttt{SmearHadron}
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161 | There is no ecal-hcal separation in the forward calorimeter.
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162 | No negative values for the energy after smearing. If so, the 4-momentum is set
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163 | to $(0,0,0,0)$.
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164 |
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165 | \subsection{Calorimetric towers}
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166 | All final particles, which are neither muons nor neutrinos are produce a
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167 | calorimetric tower.
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168 | The same particles enter in the calculation of the missing transverse energy.
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169 | \textit{what is used is the particle smeared momentum, not the calorimetric
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170 | towers!}
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171 |
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172 | \subsection{Tracks}
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173 | All final charged particles
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174 |
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175 | \subsection{Time of flight}
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176 | Some subdetectors have the ability to measure the time of flight of the particle.
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177 | This correspond to the delay after which the particle is observed in the detector, after the bunch crossing.
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178 | The time of flight measurement of ZDC and FP420 detector is implemented here.
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179 | For the ZDC, the formula is simply
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180 | \begin{equation}
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181 | t_2 = t_1 + \frac{1}{v} \times \big( \frac{s-z}{\cos \theta}\big),
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182 | \end{equation}
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183 | where $t_2$ is the time of flight, $t_1$ is the true time coordinate of the vertex from which the particle originates, $v$ the particle velocity, $s$ is the ZDC distance to the interaction point, $z$ is the longitudinal coordinate of the vertex from which the particle comes from, $theta$ is the particle emission angle. This assumes that the neutral particle observed in the ZDC is highly relativistic, i.e. travelling at the speed of light $c$. We also assume that $\cos \theta = 1$, i.e. $\theta \approx 0$ or equivalently $\eta$ is large. As an example, $\eta = 5$ leads to $\theta = 0.013$ and $1 - \cos \theta < 10^{-4}$.
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184 | The formula then reduces to
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185 | \begin{equation}
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186 | t_2 = \frac{1}{c} \times (s-z)
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187 | \end{equation}
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188 | NB : for the moment, only neutrons and photons are assumed to be able to reach the ZDC. All other particles are neglected
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189 |
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190 | To fix the ideas, if the ZDC is located at $s=140~\textrm{m}$, neglecting $z$ and $\theta$, and assuming that $v=c$, one gets $t=0.47~\mu\textrm{s}$.
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191 |
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192 | \subsection{Tau identification}
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193 |
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194 | Two ways to identify a tau : using the energy inside a cone or the number of
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195 | tracks in the cone.
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196 | \begin{itemize}
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197 | \item From the energy in the cone of radius TAU\_CONE\_ENERGY. To be taken into
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198 | account, a calo tower should (1) have a transverse energy $E_T = \sqrt{E_X^2 +
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199 | E_Y^2}$ above a given threshold M\_SEEDTHRESHOLD, (2) be inside a cone with a
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200 | radius R and the axis defined by (eta,phi).
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201 | \item From the number of tracks in the cone of radius TAU\_CONE\_TRACKS. To be
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202 | taken into account, a track should (1) have a transverse momentum $ p_T =
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203 | \sqrt{p_X^2 + p_Y^2} $ above a given threshold, (2) be inside a cone with a
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204 | radius R and the axis defined by (eta,phi).
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205 | \end{itemize}
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206 |
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207 | \begin{wrapfigure}{l}{0.3\textwidth}
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208 | \includegraphics[width=0.3\textwidth]{Tau.eps}
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209 | \caption{\small{detectorAng.eps}}
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210 | \label{h_WW_ss_cut1}
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211 | \end{wrapfigure}
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212 |
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213 |
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214 | To identify a tau, one requires the \textit{electromagnetic collimation} and the
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215 | \textit{tracking isolation}.
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216 | The electromagnetic collimation is a kind of calorimetric isolation required
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217 | around the jet axis.
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218 | One requires that most of the energy of the cone is located in a small cone in
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219 | the middle of the jet cone:
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220 | \begin{equation}
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221 | %C_{\tau}^{e.m.} = \frac{ \Sum E_T^{cell}(\Delta R= TAU\_CONE\_ENERGY)}{
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222 | \sum E_T^{cell} (\Delta R= CONE\_RADIUS) > TAU\_EM\_COLLIMATION
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223 | \end{equation}
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224 | Typical values are TAU\_CONE\_ENERGY=0.15 , CONE\_RADIUS=0.7 and
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225 | TAU\_EM\_COLLIMATION = 0.95.
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226 | No further calorimetric isolation is required.
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227 |
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228 | The tracking isolation for the tau identification requires that the number of
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229 | tracks associated to a particle with $p_T > PT\_TRACK\_TAU$ is one and only one
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230 | in a cone with $\Delta R = TAU\_CONE\_TRACKS$. This cone should be entirely
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231 | included in the tracker to be taken into account. Typical calues are
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232 | $TAU\_CONE\_TRACKS = 0.4$ and $PT\_TRACK\_TAU = 2 GeV$.
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233 |
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234 |
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235 |
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236 | \subsection{B-tagging}
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237 | The simulation of the b-tagging is based on the detector efficiencies assumed
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238 | (1) for the tagging of a b-jet and (2) for the mis-identification of other jets
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239 | as b-jets. This relies on the TAGGING\_B, MISTAGGING\_C and MISTAGGING\_L
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240 | constants, for (respectively) the efficiency of tagging of a b-jet, the
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241 | efficiency of mistagging a c-jet as a b-jet, and the efficiency of mistatting a
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242 | light jet (u,d,s,g) as a b-jet. The (mis)tagging relies on the particle ID of
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243 | the most energetic particle within a cone around the observed (eta,phi) region,
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244 | with a radius CONERADIUS.
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245 |
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246 | \section{Validation}
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247 | \section{conclusion}
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248 |
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249 | \appendix
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250 | Attention : in SmearUtil::NumTracks, the function arguments 'Eta' and 'Phi' have
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251 | been switched. Previously, 'Phi' was before 'Eta', now 'Eta' comes in front.
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252 | This is for consistency with the other functions in SmearUtil. Check your
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253 | routines, when using NumTracks !
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254 |
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255 | In the list of input files, all files should have the same type
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256 |
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257 | Attention : in SmearUtil::RESOLution::BJets, the maximal energy was looked in
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258 | CONERADIUS/2 instead of CONERADIUS. This bug has been removed.
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259 |
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260 | Attention : for the tau-jet identification : CONERADIUS /2 was used instead of
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261 | CONERADIUS !
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262 |
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263 | \end{document}
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