Changeset 328 in svn
- Timestamp:
- Mar 12, 2009, 1:50:11 AM (16 years ago)
- Location:
- trunk/paper
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trunk/paper/notes.tex
r327 r328 182 182 \label{eq:caloresolution} 183 183 \end{equation} 184 where $S$, $N$ and $C$ are the \textit{stochastic}, \textit{noise} and \textit{constant} terms, respectively, and $\oplus$ stands for quadra ctic additions.\\184 where $S$, $N$ and $C$ are the \textit{stochastic}, \textit{noise} and \textit{constant} terms, respectively, and $\oplus$ stands for quadratic additions.\\ 185 185 186 186 187 187 The 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.}. 188 188 In 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 than delectrons ($e^\pm$), 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.}.189 Muons 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.}. 190 190 The default values of the stochastic, noise and constant terms are given in Tab.~\ref{tab:defResol}.\\ 191 191 … … 235 235 236 236 The 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 cylind ical (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.237 As 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. 238 238 239 239 \begin{figure}[!h] … … 328 328 No 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 329 329 momentum\footnote{\texttt{[code] }Calorimetric isolation parameters in the detector card are \texttt{ISOL\_Calo\_ET} and \texttt{ISOL\_Calo\_Grid}.}: 330 $$ \rho_\mu = \frac{\Sigma_i E_T(i)}{p_T(\mu)}~,~ i\textrm{ in }N \times N \textrm { grid cent ered on }\mu.$$330 $$ \rho_\mu = \frac{\Sigma_i E_T(i)}{p_T(\mu)}~,~ i\textrm{ in }N \times N \textrm { grid centred on }\mu.$$ 331 331 332 332 … … 554 554 \Delta R = \sqrt{ \big(\eta^\textrm{rec} - \eta^\textrm{MC} \big)^2 + \big(\phi^\textrm{rec} - \phi^\textrm{MC} \big)^2}<0.25. 555 555 \end{equation} 556 The jets made of generator-level particles, here refer ed as \textit{MC jets}, are obtained by applying the same clustering algorithm to all particles considered as stable after hadronisation.556 The 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. 557 557 Jets produced by \textsc{Delphes} and satisfying the matching criterion are called hereafter \textit{reconstructed jets}. 558 558 … … 725 725 % 726 726 % \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 pr odictions in collider experiments.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 predictions in collider experiments. 728 728 729 729 \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. … … 946 946 TRACK_bfield_x 0 // X component of the BField, in T 947 947 TRACK_bfield_y 0 // Y component of the BField, in T 948 TRACK_bfield_z 3.8 // Z component of the BField nin T948 TRACK_bfield_z 3.8 // Z component of the BField, in T 949 949 950 950 # Very forward detector extension, in pseudorapidity … … 969 969 \end{verbatim} 970 970 \end{quote} 971 In general, energies, momenta and masses are expressed in GeV, GeV$/c$, Ge v$/c^2$ respectively, and magnetic fields in T.971 In general, energies, momenta and masses are expressed in GeV, GeV$/c$, GeV$/c^2$ respectively, and magnetic fields in T. 972 972 Geometrical extension are often referred in terms of pseudorapidity $\eta$, as the detectors are supposed to be symmetric in $\phi$. 973 973 … … 1103 1103 \multicolumn{2}{l}{\textbf{Additional leaf in the \texttt{Jet} branch}} \\ 1104 1104 \texttt{~~~bool Btag } &\texttt{ // stores the result of the b-tagging }\\ 1105 \texttt{~~~int NTracks }&\texttt{ // number of tracks as ociated to the jet }\\1105 \texttt{~~~int NTracks }&\texttt{ // number of tracks associated to the jet }\\ 1106 1106 \texttt{~~~float EHoverEE }&\texttt{ // hadronic energy over electromagnetic energy }\\ 1107 1107 & \\ … … 1137 1137 \texttt{~~~float ET } &\texttt{ // transverse missing energy in GeV }\\ 1138 1138 \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 }\\ 1140 1140 \end{tabular} 1141 1141 \end{quote} … … 1254 1254 \end{verbatim} 1255 1255 Each 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 impleme ted in \textsc{Delphes}.).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 implemented in \textsc{Delphes}.). 1257 1257 Subsequent rows list the reconstructed high-level objects. 1258 Each row is organised in columns, which details the object kinematics as well as more specific information s, such as isolation criteriasor $b$-tagging.1258 Each row is organised in columns, which details the object kinematics as well as more specific information, such as isolation criteria or $b$-tagging. 1259 1259 1260 1260 \paragraph{1st column (\texttt{\#})} … … 1298 1298 1299 1299 \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 prefer ed.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 preferred. 1301 1301 1302 1302 \end{document}
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