GLD Simulation tools and PFA studies Akiya MiyamotoKEKAt 9-January-2007FJPPL meeting

FJPPLFrance Japan Particle Physics LaboratoryFrance-(CNRS-CEA: LAPP, LLR, LPNHE, LAL, DAPNIA); Japan-KEK http://acpp.in2p3.fr/cgi-bin/twiki/bin/view/FJHEPL/WebHomeYou have to register yourself to access internal info.ILC detector R&D is one of the main projects of FJPPL.K.Kawagoe, Sep. 2006

A common R&D on the new generation detector for the ILCMembersJ.C. Brient, H. Videau, J.C. Vanel, C. de la Thaille, R. Poeschl, D. BoutigniK.Kawagoe, T. Takeshita, S. Yamashita, T. Yoshioka, A. Miyamoto, S. Kawabata, T.Sasaki, G. IwaiGoalsDesign and development of reliable Particle Flow Algorithm (PFA) which allows studying the design and the geometry of the future detector for the ILC,Design and development of a DAQ system compatible with the new generation of calorimeter currently in design and prototype for the ILC, and Design and development of the optimized detector for the final ILC project, leading the participation of the LOI and TDR document for the ECAL point of view. K.Kawagoe, Sep. 2006

ContentsGLD introductionTools for GLD studiesFew comments about GRID

Physics Scenario at ILC

ILC Detector Performance GoalsVertexing

Tracking

Jet energy (Higgs self-coupling, W/Z sep. in SUSY study)

Hermeticity (http://blueox.uoregon.edu/~lc/randd.pdf)High granularity will be a key feature of ILC detectors

SUSY study in jet mode M1qq(GeV)M2qq(GeV)M1qq(GeV)M2qq(GeV)Hard to find Neurtalino SUSY parameter: m0=500GeV, m=400GeVM2=250GeV, tanb=3

LSP+WWLSP+ZZs(0.5TeV, fb)20.11.8No. of jet events (0.5ab-1)4641441

GLD Design ConceptsSeparate neutral and charged particle PFA == Key for the good energy resolutionSegmentation of calorimeter : do to the limit of Moliere RadiusLarge radius calorimeter : spatially separate particle ( also good for tracker )High B field : separate charged and neutralFigure of MeritNeutral energy inside certain distance from cahrged scale ~ 1/R2

GLD ConfigurationModerate B Field : 3TR(ECAL) ~ 2.1mGLD Side view ECAL: 33 layers of 3mmt W/2mmt Scint./1mmt Gap HCAL: 46 layers of20mmt Fe/5mmt Scint./1mmt GapPhoton sensor: MPPC ~O(10M) ch. Configuration of sensor is one of the R&D items

GLD Configuration - 2TPC:R: 0.452.0m, ~200 radial sampleHalf Z: 2.3mMPGD readout: srf

Our Software Toolslcbase : configuration files

Leda : Analysis tools (Kalman fitter, 4vector and jet findinder utilities )

jsf : Root-based frameworklclib : QuickSim and other fortran based utilitiesphyssim : Helas-based generator

Jupiter : Full simulation based on Geant4Uranus : Data analysis packagesSatellites : Data analysis packages for MC data We use only C++, except old fortran tools. Link to various tools at http://acfahep.kek.jp/subg/sim/soft GLD Software at http://ilcphys.kek.jp/soft All packages are kept in the CVS. Accessible from http://jlccvs.kek.jp/

JSFFramework: JSF = Root based applicationAll functions based on C++, compiled or through CINTProvides common framework for event generations, detector simulations, analysis, and beam test data analysisUnified framework for interactive and batch job: GUI, event displayData are stored as root objects; root trees, ntuples, etc

Release includes other tools QuickSim, Event generators, beamstrahlung spectrum generator, etc.

JSF and ROOTROOT objects : Event Tree & ConfigurationEventGeneratorDetectorSimulatorEventReconstructionPhysicsAnalysisBeamtestAnalysis Digitizer Finder Fitter QuickSim FullSim Pythia CAIN StdHepJSF is a ROOT based application to provide a common interface to physicistshttp://root.cern.ch/

Jupiter/Satellites for Full Simulation StudiesJUPITERJLC UnifiedParticle InteractionandTracking EmulatoRIOInput/Outputmodule setURANUSLEDAMonte-Calro Exact hits ToIntermediate Simulated outputUnified Reconstruction and ANalysis Utility SetLibrary Extention for Data AnalysisMETISSatellitesGeant4 basedSimulatorJSF/ROOT basedFrameworkJSF: the analysis flow controller based on ROOT The release includes event generators, Quick Simulator, and simple event display MC truth generatorEvent ReconstructionTools for simulation ToolsFor real data

Jupiter feature - 1Modular organization of source codes for easy installation of sub-detectors

Based on Geant4 8.0p1GeometrySimple geometries are implemented ( enough for the detector optimization )parameters ( size, material, etc ) can be modified by input ASCII file. Parameters are saved as a ROOT object for use in Satellites laterInput: StdHep file(ASCII), HepEvt, CAIN, or any generators implemented in JSF.Binary StdHep file interface was implemented, but yet to be tested.

Jupiter feature - 2Run mode:A standalone Geant4 application JSF application to output a ROOT file.

Output:Exact Hits of each detectors (Smearing in Satellites)Pre- and Post- Hits at before/after CalorimeterUsed to record true track information which enter CAL/FCAL/BCAL.Break points in tracking volumeInterface to LCIO format is prepared in a JSF frameworkCompatibility is yet to be tested.

GLD Geometry in JupiterFCALBCALITVTXCH2mask1 moduleInclude 10cm air gap as a readout space

By H.Ono

By H.Ono

Metis packageMetis is a collection of reconstruction tools for Jupiter data.Run as a JSAF module, i.e,Jupiter data and reconstructed results are saved in a ROOT tree.Each module is relatively independent, thus easy to implement different reconstruction algorithm according to user interestsPackage under developments includesIO: Geant4 objetcs to ROOT objects/ Interface to LCIOHit digitizer: Mostly simple smearing of exact hitsCAL hit maker : include a cell signal merger for strip configurationKalman fitter for TPC, IT, and VertexCheated PFARealist PFA (GLD-PFA)Jet clustering

Typical Event Display ZH nnh : Two jets from Higgs can be seen.

Momentum resolutionExact hit points created by single m were fitted by Kalman filter packagespt/pt2 (GeV -1)

A typical CAL. performanceby Y.Kawakami and H.OnoEnergy Resolution(DE/E)GammaK0LPerformances have to verified/confirmed by beam tests in coming years

Realistic PFACritical part to complete detector designLarge R & medium granularity vs small R & fine granularityLarge R & medium B vs small R & high BImportance of HD Cal resolution vs granuality

Algorithm developed in GLD: Consists of several stepsSmall-clusteringGamma FindingCluster-track matchingNeutral hadron clusteringRed : pionYellow :gammaBlue : neutron

Performance in the EndCap region is remarkably improved recently. Almost no angular dependence : 31%/E for |cosq|

Jet Energy Resolution- Jet energy resolution linearly degrades. (Fitting region : |cosq|

CPU time/Data size( cpu time is about half at KEKCC, AMD 2.5GHz 64bit )

Data sizeXenon 3 GHz(32bit) for 500 1/fbProcessMB/evCPU sec/ev.#ev.GBcpu dayqq 91 GeV~1.5~150qq 350 GeV~3.0~270eeZHnnH 350GeV~2.0~300 14k28 48.6eennH 350GeV~1.9~170 15k29 29.5eeeeH 350GeV~2.3~380 1.5k 3.5 15.4eeZZnnqq 350GeV~1.7~200 110k187 255.6eeenWenqq 350GeV~1.6~2401000k16000 2777.8ZHqqH 350GeV~3.8~300 49k186 170.1ZZqqqq 350GeV~3.3~340 434k1432 1707.8

Benchmark ProcessesBenchmark processes recommended by the Benchmark Panel.

Cross sectionsSM processes+ New physics

GRID for ILC studiesILC GRID in Japan has just begunILC Computing requirements in coming yearsFull simulation based detector studiesDetector optimizationBackground studies & IR designs, etcThese studies will be based on many bench mark processes.Cross checking of analysis codesSharing and access to beam test dataGRID will be an infrastructure for these studies.Data sharingUtilize CPU resourcesAmong domestic/regional colleagues easier access to codes & dataWe are beginner. as a first step,First: minimum resourcesGet familiar tools and data sharingCALICEVO & ILCVO

GRID Configuration: JPY2006KEKCC LCG environmentLCG resource outside KEKGRID-LAN F/WKEK-LAN F/WNFSSLC4Existing KEK-ILC group resourceILC NFSSELCGLCGLCG/Grid ProtocolSE: Storage ElementLCG/Grid ProtocolUniversityCPUServersLCG UISLC3SE2

Backup slides