DESYSIM miyamoto 041209

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Jupiter and Friends: 

Jupiter and Friends Akiya Miyamoto KEK 9-December-2004 for LC Simulation Mini Workshop, DESY through VRVS presentation Based on works done by ACFA-SIM (-J) members

Contents: 

Contents Introduction – Concepts Jupiter Satellites Note: Few progresses since 7th ACFA at Taipei. I’m sorry if you heard them already Figures presented here are preliminary. They are included to indicate status of our software packages.

Jupiter/Satellites Concepts: 

Jupiter/Satellites Concepts JUPITER JLC Unified Particle Interaction and Tracking EmulatoR IO Input/Output module set URANUS LEDA Monte-Calro Exact hits To Intermediate Simulated output Unified Reconstruction and ANalysis Utility Set Library Extention for Data Analysis METIS Satellites Geant4 based Simulator JSF/ROOT based Framework JSF: the analysis flow controller based on ROOT The release includes event generators, Quick Simulator, and simple event display MC truth generator Event Reconstruction Tools for simulation Tools For real data

Jupiter: 

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 hierarchical 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 external methods. Using this mechanism, it can output ASCII flat file and JSF/ROOT fie. : Geant4 based Full Detector Simulator

Status: 

Status Before LCWS2004, GLC-3T geometry except for the muon detector was implemented in Jupiter and used for studies on Performance of CDC, T0 resolution, etc. Beam backgrounds on VTX Since LCWS2004, Implementation of new detector model, Generic Large Detector, has been started. So far, simple ideal geometries are implemented. ( “GLD”, is a tentative name for this presentation ) Components in Satellites are enriched For implementation of more complete geometry, a XML interface has been developed. Geant4 6.1 was used for studies presented here

GLC and “GLD” models: 

GLC and “GLD” models GLC-3T “GLD” version 1 parameter Inner radius of EM Cal is increased for better BR2 Coil radius is same, length icreased for better B field uniformity

Calorimeter in Jupiter: 

Calorimeter in Jupiter An accuracy of simulated results depends on precision of Calorimeter geometry. In the current version, we implemented an ideal geometry to know ultimate performance pointing tower structure, no crack between towers Mini-tower can be defined within the tower to define smaller cell structure. Simulate with a small cell structure and merge cell signals appropriately at later analysis stage to save CPU and storage space. Tower geometry, materials and granularity can be modified easily. Tower structure EM HD Mini-Tower Inside Tower

Calorimeter Parameters: 

Calorimeter Parameters Default parameters EM Cal: 38 layers of 4mm Pb + 1mm scinti. HD Cal: 130 layers of 8mm Pb + 2mm scinti. Transverse granuarity: 4cmx4cm(EM), 12cmx12cm(HD) 1cmx1cm EM CAL segmentation was tried, but it is CPU time consuming. Other method such as using parameterized geometry construction of Geant4 are considered.

Standard Geometry of Jupiter: 

Standard Geometry of Jupiter Solenoid TPC Hadron Calorimeter Muon/Iron Elemag. Calorimeter As of Nov. 4 By H.Ono(Niigata) GLD

Performance of Jupiter : 

Performance of Jupiter With a standard configuration, ~6000sec to generate 100 ZH events at 350 GeV Memory size: 60~100 MBytes Output data size exceeds 2G Bytes at ~0.5K events Need to reduce output data size or JSF update to support multiple-file output Without output, run more than 5000 events Problems/To do for future improvements It takes ~ 3 min for the geometry initialization. Increase significantly when we use smaller segmentation. Some improvement since Taipei by using Replica. The standard cut value for the range in Calorimeter is 1mm. It has to be O(1) mm to get reasonable ECAL resolution of ~15%. Geometry improvements: Missing detectors, such as forward trackers For implementation of precise geometry, it would be better to use a XML geometry interface.

EM Cal Performance: 

EM Cal Performance By A.L.C.Sanchez (Niigata U.) Linearity is good, but to get energy resolution similar to beam test results, Randge cut of O(1) mm is required. It is very small and we don’t know why we need O(1) mm.

HD Cal Performance: 

HD Cal Performance By A.L.C.Sanchez (Niigata U.) If the range cut as small as ~1 mm is used, few signals are generated in scintillator by hadronic shower, though responces to electrons are OK. The range cut value greater than ~50 mm is necessary to get reasonable respince. Needs to find range cut values which meet EM cal and HD cal requirements.

XML geometry interface: 

XML geometry interface Motivation of XML interface Reduce detector attributes ( solid, material, size, etc ) hard coded in Jupiter Reduce mother-daughter relations of geometries hard coded in Jupiter Avoid “Fatty” Jupiter base class to support a newly customized “G4VSolid-factory-method”, otherwise base class becomes bigger and bigger. How to achieve Instead of manually writing C++ code using Jupiter classes, user prepares XML inputs, which will generate geometry structures dynamically using new base classes Status XML parser, etc were developed and now trying to prepare a working set for a simple detector structure. Hoping to use it near future for implementations of detail detector structures By S.Kishimoto (Kobe U.)

Slide14: 

After(XML data) Before(mannualy intalling geometry C++ code)

Satellites: IO, Metis, Leda: 

Satellites: IO, Metis, Leda Satellites are event reconstruction modules for simulated data. IO – Input / Output module set Convert Jupiter output to ROOT object Though ASCII file JSFJ4 ( Run Jupiter in JSF frame work and convert) METIS – Monte Carlo Exact hit To Intermediate Simulated Output Module set for simulated data reconstruction Includes HitMaker : Exact hit to smeared hit TrackMaker : Track reconstruction ClusterMaker: Cal. Cluster reconstruction PartcleFlowObjectMaker : Make Particle Flow Object Leda – Library Extension for Data Analysis Library for reconstruction Includes Kalman filter package, etc. METIS Leda IO

Status of Metis: 

Status of Metis Current aim is to prepare a minimum set of Metis modules for studies of Particle Flow Algorithm. Novice users will be able to do physics analysis using information of PFO classes. As a first step, a cheated track finder and a cluster maker, etc are in preparation in order to know ultimate performance. Each module is independent, thus shall be easy to implement different reconstruction algorithm according to interests

Metis Analysis Flow: 

make smeared TPC hits from exact hit make tracks from TPC make hybrid tracks ( TPC+IT+VTX) make smeared/merged CAL hits from exact hit make cluster from CAL hits make Particle Flow Objects jet clustering Metis Analysis Flow

Cheated PFO analysis: 

Cheated PFO analysis ZH event at Ecm=500 GeV By K.Fujii(KEK), S.Yamamoto(GUAS), A.Yamaguchi(Tsukuba) - Exact hit points of TPC and CAL are displayed. Hits belong to the same PFO are shown with the same color A framework of event display in JSF is used.

X3D: 

X3D ROOT’s X3d view of the same event

X3D-Jet: 

X3D-Jet Same event, after a forced 4-jet clustering on PFObjects

Metis Status: TPC sp/p - 1: 

Metis Status: TPC sp/p - 1 TPC exact hit points created by single m were fitted by Kalman filter package TPC parameter for GLD_V1 configuration : Bfield = 3 Tesla Rin = 40 cm Rout = 206 cm Half length = 235 cm # sampling = 200 srf = 150 mm (constant) sz = 500 mm spt/pt2 (GeV -1) GLD momentum resolution (TPC alone) By A.Yamaguchi(Tsukuba)

Metis Status: TPC sp/p - 2: 

Metis Status: TPC sp/p - 2 If an effect of diffusion is included, … Without diffusion With diffusion By A.Yamaguchi(Tsukuba)

Metis : Calorimeter sE/E: 

Metis : Calorimeter sE/E E(GeV) E(GeV) Energy resolution of EM/HD clusters attached to the PF objects EM Cal: Pb(4mm)+Scinti(1mm): 38 layers HD Cal: Pb(8mm)+Scinti(2mm): 120 layers Resolutions are worse, because the range cut is too large(1mm). New simulations are now in progress…. Entries near E~0 GeV are probably secondary gs and neutrons. They would be removed by cuts on signal TOF … under investigation By S.Yamamoto(GUAS)

Jet mass – first try: 

Jet mass – first try Using PFOs, we clustered jets and plots Higgs mass. Neither event statistics nor tuning/debugging of Jupiter/Satellites are not sufficient. But we are getting close to do physics studies using these tools By K.Fujii(KEK) Mh=120GeV

Conclusion: 

Conclusion GLD_V1 geometry has been implemented in to the Jupiter. Packages in Satellites have been enriched. Now it can create Particle Flow Objects based on cheated algorithm. Our hope is to know the ultimate performance of the detector based on these packages soon.

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