Changeset 136 in svn for trunk/paper
- Timestamp:
- Jan 6, 2009, 7:38:03 PM (16 years ago)
- Location:
- trunk/paper
- Files:
-
- 2 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/paper/notes.tex
r134 r136 69 69 70 70 \noindent 71 \textit{Keywords:} \textsc{Delphes}, fast simulation, \textsc{lhc}, smearing, trigger, \textsc{FastJet}, \textsc{Hector}, \textsc{Frog} 71 \textit{Keywords:} \textsc{Delphes}, fast simulation, \textsc{lhc}, smearing, trigger, \textsc{FastJet}, \textsc{Hector}, \textsc{Frog}\\ 72 \href{http://www.fynu.ucl.ac.be/delphes.html}{http://www.fynu.ucl.ac.be/delphes.html} 72 73 \vspace{1.5cm} 73 74 … … 328 329 \begin{enumerate} 329 330 330 \item {\it CDF Jet Clusters} : Algorithm forming jets by associating together towers lying within a circle (default radius $\Delta R=0.7$) in the $(\eta$, $\phi)$ space.331 The so-called \textsc{ jetclu} cone jet algorithm that was used by \textsc{cdf} in Run II is used.331 \item {\it CDF Jet Clusters}~\cite{bib:jetclu}: Algorithm forming jets by associating together towers lying within a circle (default radius $\Delta R=0.7$) in the $(\eta$, $\phi)$ space. 332 The so-called \textsc{Jetclu} cone jet algorithm that was used by \textsc{cdf} in Run II is used. 332 333 All towers with a transverse energy $E_T$ higher than a given threshold (default: $E_T > 1~\textrm{GeV}$) are used to seed the jet candidates. 333 334 The existing \textsc{FastJet} code as been modified to allow easy modification or the tower pattern in $\eta$, $\phi$ space. 334 335 In the following versions of \textsc{Delphes}, a new dedicated plug-in will be created on this purpose\footnote{\texttt{[code] }\texttt{JET\_coneradius} and \texttt{JET\_seed} variables in the smearing card.}. 335 336 336 \item {\it CDF MidPoint} : Algorithm developped for the \textsc{cdf} Run II to reduce infrared and collinear sensitivity compared to purely seed-based cone by adding `midpoints' (energy barycenters) in the list of cone seeds.337 338 \item {\it S ISCone}: Seedless Infrared Safe Cone~\cite{bib:SIScone}: Cone algorithmsimultaneously insensitive to additional soft particles and collinear splittings, and fast enough to be used in experimental analysis.337 \item {\it CDF MidPoint}~\cite{bib:midpoint}: Algorithm developped for the \textsc{cdf} Run II to reduce infrared and collinear sensitivity compared to purely seed-based cone by adding `midpoints' (energy barycenters) in the list of cone seeds. 338 339 \item {\it Seedless Infrared Safe Cone}~\cite{bib:SIScone}: The \textsc{SISCone} algorithm is simultaneously insensitive to additional soft particles and collinear splittings, and fast enough to be used in experimental analysis. 339 340 340 341 \end{enumerate} … … 394 395 \subsection{\texorpdfstring{$\tau$}{\texttau} identification} 395 396 396 Jets originating from $\tau$-decays are identified using an identification procedure consistent with the one applied in a full detector simulation~\cite{bib:cms taus}.397 Jets originating from $\tau$-decays are identified using an identification procedure consistent with the one applied in a full detector simulation~\cite{bib:cmsjetresolution}. 397 398 The tagging rely on two properties of the $\tau$ lepton. First, $77\%$ of the $\tau$ hadronic decays contain only one charged hadron associated to a few neutrals (table~\ref{tab:taudecay}). Tracks are useful for this criterium. Secondly, the particles arisen from the $\tau$ lepton produce narrow jets in the calorimeter (\textit{collimation}). 398 399 … … 545 546 The majority of interesting processes at the \textsc{lhc} contain jets in the final state. The jet resolution obtained using \textsc{Delphes} is therefore a crucial point for its validation. Even if \textsc{Delphes} contains six algorithms for jet reconstruction, only the jet clustering algorithm (\textsc{jetclu}) with $R=0.7$ is used to validate the jet collection. 546 547 547 This validation \textcolor{red}{employs} $pp \rightarrow gg$ events produced with \textsc{MadGraph/MadEvent} and hadronised using \textsc{Pythia}~\cite{bib:mgme,bib:pythia}. The events were arranged in $14$ bins of gluon transverse momentum $\hat{p}_T$. In each $\hat{p}_T$ bin, every jet in \textsc{Delphes} is matched to the closest jet of generator-level particles, using the spatial separation between the two jet \textcolor{red}{axes}548 This validation is based on $pp \rightarrow gg$ events produced with \textsc{MadGraph/MadEvent} and hadronised using \textsc{Pythia}~\cite{bib:mgme,bib:pythia}. The events were arranged in $14$ bins of gluon transverse momentum $\hat{p}_T$. In each $\hat{p}_T$ bin, every jet in \textsc{Delphes} is matched to the closest jet of generator-level particles, using the spatial separation between the two jet axes 548 549 \begin{equation} 549 550 \Delta R = \sqrt{ \big(\eta^\textrm{rec} - \eta^\textrm{MC} \big)^2 + \big(\phi^\textrm{rec} - \phi^\textrm{MC} \big)^2}<0.25. … … 634 635 \section{Visualisation} 635 636 636 When performing an event analysis, it can be usefull to convey informations about the detector layout or the event topology in a simple way. With this aim in view, a visualisation tool can be of great interest. Hence, the Fast and Realistic OpenGl Displayer \textsc{frog} has been interfaced in \textsc{Delphes} allowing an easy display of the defined detector configuration\footnote{\texttt{[code] } To prepare the visualisation, the \texttt{FLAG\_frog} parameter should be equal to $1$.}. 637 When performing an event analysis, a visualisation tool is useful to convey information about the detector layout and the event topology in a simple way. The \textit{Fast and Realistic OpenGL Displayer} \textsc{frog}~\cite{bib:Frog} has been interfaced in \textsc{Delphes}, allowing an easy display of the defined detector configuration\footnote{\texttt{[code] } To prepare the visualisation, the \texttt{FLAG\_frog} parameter should be equal to $1$.}. 638 639 % \begin{figure}[!h] 640 % \begin{center} 641 % \includegraphics[width=\columnwidth]{Detector_Delphes_1} 642 % \caption{Layout of the generic detector geometry assumed in \textsc{Delphes}. The innermost layer, close to the interaction point, is a central tracking system (pink), embedded into a solenoidal magnetic field. 643 % It is surrounded by a central calorimeter volume (green) with both electromagnetic and hadronic sections. 644 % The outer layer of the central system (red) consist of a muon system. 645 % In addition, two end-cap calorimeters (blue) extend the pseudorapidity coverage of the central detector. 646 % The actual detector granularity and extension is defined in the smearing card. 647 % The detector is assumed to be strictly symmetric around the beam axis (black line). 648 % Additional forward detectors are not depicted.} 649 % \label{fig:GenDet} 650 % \end{center} 651 % \end{figure} 652 653 Two and three-dimentional representations of the detector configuration can be used for communication purpose, as it clearly shows the geometric coverage of the different detector subsystems. As an illustration, the generic detector geometry assumed in \textsc{Delphes} is shown in Fig.~\ref{fig:GenDet3} 654 %, \ref{fig:GenDet} 655 and~\ref{fig:GenDet2}. 656 As pointed before, the detector is assumed to be strictly symmetric around the beam axis. 657 The extensions of the central tracking system, the central calorimeters and both forward calorimeters are visible. 658 Nevertheless, it should be noticed that only the geometrical coverage is depicted and that the calorimeter segmentation is not taken into account in the drawing of the detector. Moreover, both the radius and the length of each sub-detectors are just display parameters and are insignificant for the physics simulation. 637 659 638 660 \begin{figure}[!h] 639 661 \begin{center} 640 \includegraphics[width=\columnwidth]{Detector_Delphes_1} 641 \caption{Layout of the generic detector geometry assumed in \textsc{Delphes}. The innermost layer, close to the interaction point, is a central tracking system (pink). 642 It is surrounded by a central calorimeter volume (green) with both electromagnetic and hadronic sections. 643 The outer layer of the central system (red) consist of a muon system. In addition, two end-cap calorimeters (blue) extend the pseudorapidity coverage of the central detector. 644 The actual detector granularity and extension is defined in the user-configuration card. The detector is assumed to be strictly symmetric around the beam axis (black line). Additional forward detectors are not depicted.} 645 \label{fig:GenDet} 662 \includegraphics[width=\columnwidth]{Detector_Delphes_2b} 663 \caption{Layout of the generic detector geometry assumed in \textsc{Delphes}. Open 3D-view of the detector with solid volumes. Same colour codes as for Fig.~\ref{fig:GenDet3} are applied. Additional forward detectors are not depicted.} 664 \label{fig:GenDet2} 646 665 \end{center} 647 666 \end{figure} 648 667 649 For the purpose of publication and talks, the two and three-dimentional representation of the used detector configuration can be used as it clearly show the geometric coverage of the different detector subsystems. An an illustration, the obtained representation of the generic detector geometry assumed in \textsc{Delphes} is shown in Fig.\ref{fig:GenDet} and \ref{fig:GenDet2} As pointed before, the detector is assumed to be strictly symmetric around the beam axis. The extention in pseudorapidity of the central tracking system, the central calorimeters are displayed. In addition, the two end-cap calorimeters ad defined in the Datacard extend the pseudorapidity coverage of the central detector until $|\eta|=5$. Nevertheless, it should be noticed that only the geometry coverage is represented and that the calorimeter segmentation is not taken into account in the draw of the detector. Morevocer, the radius as well as the length of the different sub-detectors are insignifiant 668 Deeper understanding of interesting physics processes is possible by displaying the events themselves. 669 The visibility of each set of objects ($e^\pm$, $\mu^\pm$, $\tau^\pm$, jets, transverse missing energy) is enhanced by a color coding. 670 Moreover, kinematical information of each object is visible by a simple mouse action. 671 As an illustration, an associated photoproduction of a $W$ boson and a $t$ quark is shown in Fig.~\ref{fig:wt}. 672 This corresponds to a $pp \rightarrow Wt \ + \ p \ + \ X$ process, where the $Wt$ couple is induced by an incoming photon emitted by one interacting proton~\cite{bib:wtphotoproduction}. 673 This leading proton survives from the photon emission and subsequently from the $pp$ interaction, and is present in the final state. 674 As the energy and virtuality of the emitted photon are low, the surviving proton does not leave the beam and escapes from the central detector without being detected. 675 The experimental signature is a lack of hadronic activity in one forward hemisphere, where the surviving proton escapes. 676 The $t$ quark decays into a $W$ boson and a $b$ quark. 677 Both $W$ bosons decay into leptons ($W \rightarrow \mu \nu_\mu$ and $W \rightarrow \tau \nu_\tau$). 678 The balance between the missing transverse energy and the charged lepton pair is clear, as well as the presence of an empty forward region. 650 679 651 680 \begin{figure}[!h] 652 681 \begin{center} 653 \includegraphics[width= 0.6\columnwidth]{Detector_Delphes_2b}654 \caption{ Layout of the generic detector geometry assumed in \textsc{Delphes}. Open 3D-view of the detector with solid volumes. Same colour codes as for Fig.~\ref{fig:GenDet} are applied. Additional forward detectors are not depicted.}655 \label{fig: GenDet2}682 \includegraphics[width=\columnwidth]{Events_Delphes_1} 683 \caption{Example of $pp(\gamma p \rightarrow Wt)pY$ event, with $t \rightarrow Wb$. One $W$ boson decays into a $\mu \nu_\mu$ pair and the second one into a $\tau \nu_\tau$ pair. The surviving proton leaves a forward hemisphere with no hadronic activity. The isolated muon is shown as the blue vector. The $\tau$-jet is the cone around the green vector, while the reconstructed missing energy is shown in gray. One jet is visible in one forward region, along the beamline axis, opposite to the direction of the escaping proton.} 684 \label{fig:wt} 656 685 \end{center} 657 686 \end{figure} 658 659 A more deep understanding of interesting physics processes is obtained using the display of the events. The visibility of each set of objects (e.g. electrons, muons, taus, jets, transverse missing energy) is enhanced by a color coding. Moreover, each object is toggled on by a simple mouse action allowing to access its four-momentum infomration. As an illustration, an associated photoproduction of a $W$ boson and a $t$ quark is shown in Fig.~\ref{fig:wt}. This corresponds to a $pp \rightarrow Wt \ + \ p \ + \ X$ process, where the $Wt$ couple is induced by an incoming photon emitted by one interacting proton. This leading proton survives from the photon emission and subsequently from the $pp$ interaction, and is present in the final state. The experimental signature is a lack of hadronic activity in one forward hemisphere, where the surviving proton escapes. The $t$ quark decays into a $W$ and a $b$. Both $W$ bosons decay into leptons ($W \rightarrow \mu \nu_\mu$ and $W \rightarrow \tau \nu_\tau$).660 661 \begin{figure}[!h]662 \begin{center}663 \includegraphics[width=\columnwidth]{Events_Delphes_1}664 \caption{Example of $pp(\gamma p \rightarrow Wt)pY$ event. One $W$ boson decays into a $\mu \ \nu_\mu$ pair and the second one into a $\tau \ \nu_\tau$ pair. The surviving proton leaves a forward hemisphere with no hadronic activity. The isolated muon is shown as the blue vector. The $\tau$-jet is the cone around the green vector, while the reconstructed missing energy is shown in gray. One jet is visible in one forward region, along the beamline axis, opposite to the direction of the escaping proton.}665 \label{fig:wt}666 \end{center}667 \end{figure}668 687 669 688 \section{Conclusion and perspectives} 670 689 671 \subsection{version 1}672 We have described here the major features of the \textsc{Delphes} framework, introduced for the fast simulation of a collider experiment.673 It has already been used for several phenomenological studies, in particular in photon interactions at the \textsc{lhc}.674 675 \textsc{Delphes} takes the output of event generators, in various formats, and yields analysis object data.676 The simulation applies the resolutions of central and forward detectors by smearing the kinematical properties of final state particles.677 It yields tracks in a solenoidal magnetic field and calorimetric towers.678 Realistic reconstruction algorithms are run, including the \textsc{FastJet} package, to produce collections of $e^\pm$, $\mu^\pm$, jets and $\tau$-jets. $b$-tag and missing transverse energy are also evaluated.679 The output is validated by comparing to the \textsc{cms} expected performances.680 A trigger stage can be emulated on the output data.681 At last, event visualisation is possible through the \textsc{Frog} 3D event display.682 683 684 \textsc{Delphes} has been developped using the parameters of the \textsc{cms} experiment but can be easily extended to \textsc{atlas} and other non-\textsc{lhc} experiments, as at Tevatron or at the \textsc{ilc}. Further developments include a more flexible design for the subdetector assembly and possibly the implementation of an event mixing module for pile-up event simulation.685 \textcolor{red}{c'est complet, mais ca ressemble fort a l'abstract et a l'intro.}686 687 688 \subsection{version 2}690 % \subsection{version 1} 691 % We have described here the major features of the \textsc{Delphes} framework, introduced for the fast simulation of a collider experiment. 692 % It has already been used for several phenomenological studies, in particular in photon interactions at the \textsc{lhc}. 693 % 694 % \textsc{Delphes} takes the output of event generators, in various formats, and yields analysis object data. 695 % The simulation applies the resolutions of central and forward detectors by smearing the kinematical properties of final state particles. 696 % It yields tracks in a solenoidal magnetic field and calorimetric towers. 697 % Realistic reconstruction algorithms are run, including the \textsc{FastJet} package, to produce collections of $e^\pm$, $\mu^\pm$, jets and $\tau$-jets. $b$-tag and missing transverse energy are also evaluated. 698 % The output is validated by comparing to the \textsc{cms} expected performances. 699 % A trigger stage can be emulated on the output data. 700 % At last, event visualisation is possible through the \textsc{Frog} 3D event display. 701 % 702 % 703 % \textsc{Delphes} has been developped using the parameters of the \textsc{cms} experiment but can be easily extended to \textsc{atlas} and other non-\textsc{lhc} experiments, as at Tevatron or at the \textsc{ilc}. Further developments include a more flexible design for the subdetector assembly and possibly the implementation of an event mixing module for pile-up event simulation. 704 % \textcolor{red}{c'est complet, mais ca ressemble fort a l'abstract et a l'intro.} 705 % 706 % 707 % \subsection{version 2} 689 708 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, probing the observability of models in collider experiments. It has already been used for several analyses, in particular in photon interactions at the \textsc{lhc}. 690 709 … … 706 725 \addcontentsline{toc}{section}{References} 707 726 708 \bibitem{bib:Delphes} \textsc{Delphes}, hepforge: 727 \bibitem{bib:Delphes} \textsc{Delphes}, \href{http://www.fynu.ucl.ac.be/delphes.html}{www.fynu.ucl.ac.be/delphes.html} 728 %hepforge: 709 729 \bibitem{bib:Root} %\textsc{Root}, \textit{An Object Oriented Data Analysis Framework}, 710 R. Brun, F. Rademakers, Nucl. Inst. \& Meth. in Phys. Res. A389 (1997) 81-86.730 R. Brun, F. Rademakers, Nucl. Inst. \& Meth. in \textbf{Phys. Res. A} 389 (1997) 81-86. 711 731 \bibitem{bib:ExRootAnalysis} %\textit{The} \textsc{ExRootAnalysis} \textit{analysis steering utility}, 712 732 P. Demin, (2006), unpublished. Now part of \textsc{MadGraph/MadEvent}. 713 733 \bibitem{bib:Hector} %\textsc{Hector}, \textit{a fast simulator for the transport of particles in beamlines}, 714 X. Rouby, J. de Favereau, K. Piotrzkowski, JINST2 P09005 (2007).734 X. Rouby, J. de Favereau, K. Piotrzkowski, \textbf{JINST} 2 P09005 (2007). 715 735 \bibitem{bib:FastJet} %\textit{The} \textsc{FastJet} \textit{package}, 716 M. Cacciari, G. Salam, Phys. Lett. B 641 (2006) 57. 736 M. Cacciari, G. Salam, \textbf{Phys. Lett. B} 641 (2006) 57. 737 \bibitem{bib:jetclu} %\textsc{cdf} Run I legacy algorithm, 738 F. Abe et al. (CDF Coll.), \textbf{Phys. Rev. D} 45, (1992) 1448. 739 \bibitem{bib:midpoint} %Run II Jet Physics: Proceedings of the Run II QCD and Weak Boson Physics Workshop, 740 G.C. Blazey, et al., arXiv:hep-ex/0005012. 717 741 \bibitem{bib:SIScone} %\textsc{SIScone}, \textit{A practical Seedless Infrared-Safe Cone jet algorithm}, 718 G.P. Salam, G. Soyez, JHEP0705:086 (2007).719 \bibitem{bib:ktjet} S. Catani, Y. L. Dokshitzer, M. H. Seymour and B. R. Webber, Nucl. Phys. B 406 (1993) 187. S. D. Ellis and D. E. Soper, Phys. Rev. D48 (1993) 3160.720 \bibitem{bib:aachen} Y.L. Dokshitzer, G.D. Leder, S. Moretti and B.R. Webber, JHEP 9708 (1997) 001. M. Wobisch andT. Wengler, arXiv:hep-ph/9907280.742 G.P. Salam, G. Soyez, \textbf{JHEP} 0705:086 (2007). 743 \bibitem{bib:ktjet} S. Catani, Y. L. Dokshitzer, M. H. Seymour, B. R. Webber, \textbf{Nucl. Phys. B} 406 (1993) 187; S. D. Ellis, D. E. Soper, \textbf{Phys. Rev. D} 48 (1993) 3160. 744 \bibitem{bib:aachen} Y.L. Dokshitzer, G.D. Leder, S. Moretti, B.R. Webber, \textbf{JHEP} 9708 (1997) 001; M. Wobisch, T. Wengler, arXiv:hep-ph/9907280. 721 745 \bibitem{bib:antikt} %\textit{The anti-kt jet clustering algorithm}, 722 M. Cacciari, G. P. Salam and G. Soyez, JHEP0804 (2008) 063.723 \bibitem{bib:cms taus} Tau reconstruction in CMS724 \bibitem{bib:pdg} C. Amsler et al. (Particle Data Group), PL B667, 1 (2008).725 \bibitem{bib:whphotoproduction} S. Ovyn 746 M. Cacciari, G. P. Salam, G. Soyez, \textbf{JHEP} 0804 (2008) 063. 747 \bibitem{bib:cmsjetresolution} CMS Collaboration, \textbf{CERN/LHCC} 2006-001; \textbf{CMS IN} 2007/053. 748 \bibitem{bib:pdg} C. Amsler et al. (Particle Data Group), \textbf{Phys. Lett. B} 667 (2008) 1. 749 \bibitem{bib:whphotoproduction} S. Ovyn, \textbf{Nucl. Phys. Proc. Suppl.} 179-180 (2008) 269-276. 726 750 \bibitem{bib:mgme} %\textsc{MadGraph/MadEvent v4}, \textit{The New Web Generation}, 727 J. Alwall, P. Demin, S. de Visscher, R. Frederix, M. Herquet, F. Maltoni, T. Plehn, D.L. Rainwater, T. Stelzer, JHEP0709:028 (2007).751 J. Alwall, et al., \textbf{JHEP} 0709:028 (2007). 728 752 \bibitem{bib:pythia} %\textsc{Pythia 6.4}, \textit{Physics and Manual}, 729 T. Sjostrand, S. Mrenna and P. Skands, JHEP 05 (2006) 026. 730 \bibitem{bib:cmsjetresolution} CMS IN 2007/053. 753 T. Sjostrand, S. Mrenna, P. Skands, \textbf{JHEP} 05 (2006) 026. 731 754 \bibitem{bib:cmstauresolution} %\textit{Study of $\tau$-jet identification in CMS}, 732 R. Kinnunen, CMS NOTE 1997/002. 733 \bibitem{bib:Frog} \textsc{Frog}, 755 R. Kinnunen, \textbf{CMS NOTE} 1997/002. 756 \bibitem{bib:Frog} L. Quertenmont, V. Roberfroid, hep-ex/xxx. 757 \bibitem{bib:wtphotoproduction} J. de Favereau de Jeneret, S. Ovyn, \textbf{Nucl. Phys. Proc. Suppl.} 179-180 (2008) 277-284; S. Ovyn, J. de Favereau de Jeneret, \href{http://arxiv.org/pdf/0806.4841v1}{arXiv:hep-ph/0806.4841} 734 758 \end{thebibliography} 735 759 … … 1017 1041 %[25] ATLAS Collaboration, Detector and Physics Performance Technical Design 1018 1042 % Report, Vols. 1 and 2, CERNâLHCCâ99â14 and CERNâLHCCâ99â15. 1019 %[26] CMS Collaboration, CMS Physics Technical Design Report, CERN/LHCC 1020 % 2006â001. 1043 %[26] CMS Collaboration, CMS Physics Technical Design Report, CERN/LHCC 2006â001. 1021 1044 %[27] A. Djouadi, J. Lykken, K. Monig, Y. Okada, M. J. Oreglia and S. Yamashita, 1022 1045 % International Linear Collider Reference Design Report Volume 2: PHYSICS
Note:
See TracChangeset
for help on using the changeset viewer.