2Akiya Miyamoto
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
3Akiya Miyamoto
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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Detector geometries in Jupiter
0cm 45cm 155cm
VTX detector
IT
CDCIndividual drift cells and wiresAxial and stereo geometry
VTX sensor
Geometry parameterssuch as #layers, #pixels,….controled by a ParameterList class for easy modification
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Crossing 3mrad
QC1
QC2VTX
CDC
QC1
VTX
Detector ModelModel d) L*=4.3 m 3T (Solenoid)
T.Aso
Beam Delivery System
for Beam BG Study
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Sample events by Jupiter
0 0e e Z H event
s 350GeV
Beam Background SimulatedBy Jupiter
Event source : CAIN
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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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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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Study items and works to do
Implement CAL geometries Spherical, cylindrical, realistic with tilt and gaps For spherical,
5x5mm2, 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