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Changeset 328 in svn for trunk


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Timestamp:
Mar 12, 2009, 1:50:11 AM (16 years ago)
Author:
Xavier Rouby
Message:

passé dans le correcteur d'orthographe

Location:
trunk/paper
Files:
2 edited

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  • trunk/paper/notes.tex

    r327 r328  
    182182\label{eq:caloresolution}
    183183\end{equation}
    184 where $S$, $N$ and $C$ are the \textit{stochastic}, \textit{noise} and \textit{constant} terms, respectively, and $\oplus$ stands for quadractic additions.\\
     184where $S$, $N$ and $C$ are the \textit{stochastic}, \textit{noise} and \textit{constant} terms, respectively, and $\oplus$ stands for quadratic additions.\\
    185185
    186186
    187187The particle four-momentum $p^\mu$ are smeared with a parametrisation directly derived from typical detector technical designs\footnote{\texttt{[code] }~\cite{bib:cmsjetresolution,bib:ATLASresolution}. The response of the detector is applied to the electromagnetic and the hadronic particles through the \texttt{SmearElectron} and \texttt{SmearHadron} functions.}.
    188188In the default parametrisation, the calorimeter is assumed to cover the pseudorapidity range $|\eta|<3$ and consists in an electromagnetic and hadronic parts. Coverage between pseudorapidities of $3.0$ and $5.0$ is provided by forward calorimeters, with different response to electromagnetic objects ($e^\pm, \gamma$) or hadrons.
    189 Muons and neutrinos are assumed not to interact with the calorimeters\footnote{In the current \textsc{Delphes} version, particles other thand electrons ($e^\pm$), photons ($\gamma$), muons ($\mu^\pm$) and neutrinos ($\nu_e$, $\nu_\mu$ and $\nu_\tau$) are simulated as hadrons for their interactions with the calorimeters. The simulation of stable particles beyond the Standard Model should therefore be handled with care.}.
     189Muons and neutrinos are assumed not to interact with the calorimeters\footnote{In the current \textsc{Delphes} version, particles other than electrons ($e^\pm$), photons ($\gamma$), muons ($\mu^\pm$) and neutrinos ($\nu_e$, $\nu_\mu$ and $\nu_\tau$) are simulated as hadrons for their interactions with the calorimeters. The simulation of stable particles beyond the Standard Model should therefore be handled with care.}.
    190190The default values of the stochastic, noise and constant terms are given in Tab.~\ref{tab:defResol}.\\
    191191
     
    235235
    236236The smallest unit for geometrical sampling of the calorimeters is a \textit{tower}; it segments the $(\eta,\phi)$ plane for the energy measurement. No longitudinal segmentation is available in the simulated calorimeters. All undecayed particles, except muons and neutrinos deposit energy in a calorimetric tower, either in \textsc{ecal}, in \textsc{hcal} or \textsc{fcal}.
    237 As the detector is assumed to be cylindical (e.g. symmetric in $\phi$ and with respect to the $\eta=0$ plane), the detector card stores the number of calorimetric towers with $\phi=0$ and $\eta>0$ (default: $40$ towers). For a given $\eta$, the size of the $\phi$ segmentation is also specified. Fig.~\ref{fig:calosegmentation} illustrates the default segmentation of the $(\eta,\phi)$ plane.
     237As the detector is assumed to be cylindrical (e.g. symmetric in $\phi$ and with respect to the $\eta=0$ plane), the detector card stores the number of calorimetric towers with $\phi=0$ and $\eta>0$ (default: $40$ towers). For a given $\eta$, the size of the $\phi$ segmentation is also specified. Fig.~\ref{fig:calosegmentation} illustrates the default segmentation of the $(\eta,\phi)$ plane.
    238238
    239239\begin{figure}[!h]
     
    328328No calorimetric isolation is applied, but the muon collection contains also the ratio $\rho_\mu$ between (1) the sum of the transverse energies in all calotowers in a $N \times N$ grid around the muon, and (2) the muon transverse
    329329momentum\footnote{\texttt{[code] }Calorimetric isolation parameters in the detector card are \texttt{ISOL\_Calo\_ET} and  \texttt{ISOL\_Calo\_Grid}.}:
    330 $$ \rho_\mu = \frac{\Sigma_i E_T(i)}{p_T(\mu)}~,~ i\textrm{ in }N \times N \textrm { grid centered on }\mu.$$
     330$$ \rho_\mu = \frac{\Sigma_i E_T(i)}{p_T(\mu)}~,~ i\textrm{ in }N \times N \textrm { grid centred on }\mu.$$
    331331
    332332
     
    554554\Delta R = \sqrt{ \big(\eta^\textrm{rec} - \eta^\textrm{MC} \big)^2 +  \big(\phi^\textrm{rec} - \phi^\textrm{MC} \big)^2}<0.25.
    555555\end{equation}
    556 The jets made of generator-level particles, here refered as \textit{MC jets}, are obtained by applying the same clustering algorithm to all particles considered as stable after hadronisation.
     556The jets made of generator-level particles, here referred as \textit{MC jets}, are obtained by applying the same clustering algorithm to all particles considered as stable after hadronisation.
    557557Jets produced by \textsc{Delphes} and satisfying the matching criterion are called hereafter \textit{reconstructed jets}.
    558558
     
    725725%
    726726% \subsection{version 2}
    727 We have described here the major features of the \textsc{Delphes} framework, introduced for the fast simulation of a collider experiment. This framework is a tool meant for feasibility studies in phenomenology, gauging the observability of model prodictions in collider experiments.
     727We have described here the major features of the \textsc{Delphes} framework, introduced for the fast simulation of a collider experiment. This framework is a tool meant for feasibility studies in phenomenology, gauging the observability of model predictions in collider experiments.
    728728
    729729\textsc{Delphes} takes as an input the output of event-generators and yields analysis-object data in the form of \texttt{TTree} in a \textsc{root} file.
     
    946946TRACK_bfield_x    0       // X component of the BField, in T
    947947TRACK_bfield_y    0       // Y component of the BField, in T
    948 TRACK_bfield_z    3.8     // Z component of the BFieldn in T
     948TRACK_bfield_z    3.8     // Z component of the BField, in T
    949949
    950950# Very forward detector extension, in pseudorapidity
     
    969969\end{verbatim}
    970970\end{quote}
    971 In general, energies, momenta and masses are expressed in GeV, GeV$/c$, Gev$/c^2$ respectively, and  magnetic fields in T.
     971In general, energies, momenta and masses are expressed in GeV, GeV$/c$, GeV$/c^2$ respectively, and  magnetic fields in T.
    972972Geometrical extension are often referred in terms of pseudorapidity $\eta$, as the detectors are supposed to be symmetric in $\phi$.
    973973 
     
    11031103\multicolumn{2}{l}{\textbf{Additional leaf in the \texttt{Jet} branch}}  \\
    11041104   \texttt{~~~bool Btag }  &\texttt{ // stores the result of the b-tagging }\\
    1105    \texttt{~~~int NTracks }&\texttt{ // number of tracks asociated to the jet }\\
     1105   \texttt{~~~int NTracks }&\texttt{ // number of tracks associated to the jet }\\
    11061106   \texttt{~~~float EHoverEE }&\texttt{ // hadronic energy over electromagnetic energy }\\
    11071107& \\
     
    11371137    \texttt{~~~float ET }      &\texttt{ // transverse missing energy in GeV }\\
    11381138    \texttt{~~~float Px }      &\texttt{ // x component of the transverse missing energy in GeV }\\
    1139     \texttt{~~~float Py }      &\texttt{ // y vomponent of the transverse missing energy in GeV }\\
     1139    \texttt{~~~float Py }      &\texttt{ // y component of the transverse missing energy in GeV }\\
    11401140\end{tabular}
    11411141\end{quote}
     
    12541254\end{verbatim}
    12551255Each row in an event starts with a unique number (i.e. in first column).
    1256 Row \texttt{0} contains the event number (here: \texttt{57}) and some trigger information (here: \texttt{0}. This very particular trigger encoding is not implemeted in \textsc{Delphes}.).
     1256Row \texttt{0} contains the event number (here: \texttt{57}) and some trigger information (here: \texttt{0}. This very particular trigger encoding is not implemented in \textsc{Delphes}.).
    12571257Subsequent rows list the reconstructed high-level objects.
    1258 Each row is organised in columns, which details the object kinematics as well as more specific informations, such as isolation criterias or $b$-tagging.
     1258Each row is organised in columns, which details the object kinematics as well as more specific information, such as isolation criteria or $b$-tagging.
    12591259
    12601260\paragraph{1st column (\texttt{\#})}
     
    12981298
    12991299\paragraph{Warning}
    1300 Inherently to the data format itself, the \texttt{*lhco} output contains only a fraction of the available data. Moreover, dealing with text file may have various drawbacks, such as the output file size and the time needed for its creation. Whenever possible, working on the \texttt{*root} output file should be prefered.
     1300Inherently to the data format itself, the \texttt{*lhco} output contains only a fraction of the available data. Moreover, dealing with text file may have various drawbacks, such as the output file size and the time needed for its creation. Whenever possible, working on the \texttt{*root} output file should be preferred.
    13011301
    13021302\end{document}
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