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1 Report to Simulation Meeting 20 May, 2004 Akiya Miyamoto, KEK
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Akiya Miyamoto 2 Jupiter Features: Modular structure for easy update, install/uninstall of sub-detectors Powerful base classes that provide unified interface to facilitate easy (un)installation of components by methods such as InstallIn, Assemble, Cabling Help implementation of detailed hierarchiral structures. This helps to save memory size. Minimize user-written source code by –Automatic naming system & material management –B-field compositions for accelerators Input : HEPEVT, CAIN (ASCII) or generators in JSF. Output –Output class allows extrnal methods. Using this mechanism, it can output ASCII flat file and JSF/ROOT fie. Core developper: K.Hoshina and K.Fujii : Geant4 based Full Detector Simulator
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Akiya Miyamoto 3 Standard Geometry of Jupiter Super Conducting Solenoid (SOL) Calorimeter(HCAL) Calorimeter(ECAL) Central Tracker(CDC) Intermediate Tracker(IT) Vertex Detector(VTX)
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Akiya Miyamoto 4 Detector geometries in Jupiter 0cm45cm 155cm VTX detector IT CDC Individual drift cells and wires Axial and stereo geometry VTX sensor Geometry parameters such as #layers, #pixels,…. controled by a ParameterList class for easy modification
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Akiya Miyamoto 5 Crossing 3mrad QC1 QC2 VTX CDC QC1 VTX Detector Model Model d) L*=4.3 m 3T (Solenoid) T.Aso Beam Delivery System for Beam BG Study
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Akiya Miyamoto 6 Sample events by Jupiter Beam Background Simulated By Jupiter Event source : CAIN
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Akiya Miyamoto 7
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8 Jupiter and JSFJ4 JSFJ4 is a Jupiter-JSF interface
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Akiya Miyamoto 9 Jupiter Commponents Jupiter 1)Framework 1-1)LCIO 1-2)Geometry Management 2)Component (Red letter was established component) 2-1) IR 2-2)VTX 2-3)CT <- Jet (TPC) 2-4)IT+FT 2-5)Cal <- Spherical model (Tower/2parts, Tile?) More realistic model (Tile, Strip) Digital model 2-6)Mag(Simple Solenoid) 2-7)Muon+Return Yoke
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Akiya Miyamoto 10 For Jet mass reconstruction Following packages are required for jet mass reconstruction Track reconstruction Central Tracker track finder and fitter Link Central Tracker and IT/VTX for refitting Track extrapolation to CAL Cal reconstruction Two algorithm –(a) Cal clustering EM clustering -> EMC-Track Match -> e/gamma ID -> mu-ID -> HD clustering -> HDC-Track Match -> Neutral Particle –(b) Track based clustering Remove Charged track energy from cell -> muID -> EM Clustering -> HD Clustering Jet Clustering Vertexing and heavy quark tagger Develop them in parallel, not serially
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Akiya Miyamoto 11 Study items and works to do Implement CAL geometries Spherical, cylindrical, realistic with tilt and gaps For spherical, 5x5mm 2, Pb 8mm, Sci. 2mm or Pb 4mm, Sci 1mm (?) Single particle performances Linearity, resolution, lateral/longitudinal spread Caliburation and optimum cut values How strongly these performances depend on geometries Two-particle or jet performance Develop clustering algorithm Study electron/gamma ID performance Study pi+/n ID performance Study dependences on detector geometry and parameters
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Akiya Miyamoto 12 Study items - 2 Jet reconstruction Masses of W, Z, H, T …. Which process ? ee-> ZH->nnH @ 250GeV or WW->enW @500GeV@ 250GeV or ee-> ZZ->nnqq @ 500 or 1000 GeV Energy and direction of jets Background rejection Off timing mini-jet tracks Muon from upstream
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