html5-img
1 / 33

GLD Simulation tools and PFA studies

GLD Simulation tools and PFA studies. Akiya Miyamoto KEK At 9-January-2007 FJPPL meeting. FJPPL. France Japan Particle Physics Laboratory France-(CNRS-CEA: LAPP, LLR, LPNHE, LAL, DAPNIA); Japan-KEK http://acpp.in2p3.fr/cgi-bin/twiki/bin/view/FJHEPL/WebHome

lucus
Télécharger la présentation

GLD Simulation tools and PFA studies

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. GLD Simulation tools and PFA studies Akiya Miyamoto KEK At 9-January-2007 FJPPL meeting

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

  3. “A common R&D on the new generation detector for the ILC” • Members • J.C. Brient, H. Videau, J.C. Vanel, C. de la Thaille, R. Poeschl, D. Boutigni • K.Kawagoe, T. Takeshita, S. Yamashita, T. Yoshioka, A. Miyamoto, S. Kawabata, T.Sasaki, G. Iwai • Goals • Design 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

  4. Contents • GLD introduction • Tools for GLD studies • Few comments about GRID

  5. Physics Scenario at ILC

  6. ILC Detector Performance Goals (http://blueox.uoregon.edu/~lc/randd.pdf) • Vertexing • Tracking • Jet energy(Higgs self-coupling, W/Z sep. in SUSY study) • Hermeticity “High granularity” will be a key feature of ILC detectors

  7. SUSY study in jet mode SUSY parameter: m0=500GeV, m=400GeV M2=250GeV, tanb=3 M2qq(GeV) M2qq(GeV) M1qq(GeV) M1qq(GeV) Hard to find Neurtalino

  8. GLD Design Concepts • Separate neutral and charged particle  PFA == Key for the good energy resolution • Segmentation of calorimeter : do to the limit of Moliere Radius • Large radius calorimeter : spatially separate particle( also good for tracker ) • High B field : separate charged and neutral Figure of Merit Neutral energy inside certain distance from cahrgedscale ~ 1/R2

  9. GLD Configuration GLD Side view • Moderate B Field : 3T • R(ECAL) ~ 2.1m • ECAL: 33 layers of 3mmt W/2mmt Scint./1mmt Gap • HCAL: 46 layers of • 20mmt Fe/5mmtScint./1mmt Gap • Photon sensor: MPPC ~O(10M) ch. Configuration of sensor is one of the R&D items

  10. GLD Configuration - 2 VTX: Fine Pixel CCD: ~5x5mm2 2 layers x 3 Super Layers TPC: R: 0.452.0m, ~200 radial sample Half Z: 2.3m MPGD readout: srf<150mm • SIT: Silicon Strip Barrel/Endcap

  11. Our Software Tools • lcbase : configuration files • Leda : Analysis tools (Kalman fitter, 4vector and jet findinder utilities ) • jsf : Root-based framework • lclib : QuickSim and other fortran based utilities • physsim : Helas-based generator • Jupiter : Full simulation based on Geant4 • Uranus : Data analysis packages • Satellites : 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/

  12. JSF • Framework: JSF = Root based application • All functions based on C++, compiled or through CINT • Provides common framework for event generations, detector simulations, analysis, and beam test data analysis • Unified framework for interactive and batch job: GUI, event display • Data are stored as root objects; root trees, ntuples, etc • Release includes other tools QuickSim, Event generators, beamstrahlung spectrum generator, etc.

  13. JSF and ROOT JSF is a ROOT based application to provide a common interface to physicists Event Generator Detector Simulator Event Reconstruction Physics Analysis Beamtest Analysis • Pythia • CAIN • StdHep • QuickSim • FullSim • Digitizer • Finder • Fitter ROOT objects : Event Tree & Configuration http://root.cern.ch/

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

  15. Jupiter feature - 1 • Based on Geant4 8.0p1 • Modular organization of source codes for easy installation of sub-detectors • Geometry • Simple 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 later • Input: • StdHep file(ASCII), HepEvt, CAIN, or any generators implemented in JSF. • Binary StdHep file interface was implemented, but yet to be tested.

  16. Pre-hits Break point Jupiter feature - 2 • Run 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 Calorimeter • Used to record true track information which enter CAL/FCAL/BCAL. • Break points in tracking volume • Interface to LCIO format is prepared in a JSF framework • Compatibility is yet to be tested.

  17. GLD Geometry in Jupiter 1 module CH2mask BCAL FCAL IT Include 10cm air gap as a readout space VTX

  18. By H.Ono

  19. By H.Ono

  20. Metis package • Metis 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 interests • Package under developments includes • IO: Geant4 objetcs to ROOT objects/ Interface to LCIO • Hit digitizer: Mostly simple smearing of exact hits • CAL hit maker : include a cell signal merger for strip configuration • Kalman fitter for TPC, IT, and Vertex • Cheated PFA • Realist PFA (GLD-PFA) • Jet clustering

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

  22. Momentum resolution Exact hit points created by single m were fitted by Kalman filter package spt/pt2 (GeV -1)

  23. A typical CAL. performance by Y.Kawakami and H.Ono K0L Gamma Energy Resolution(DE/E) Performances have to verified/confirmed by beam tests in coming years

  24. e- e+ Realistic PFA • Critical part to complete detector design • Large R & medium granularity vs small R & fine granularity • Large R & medium B vs small R & high B • Importance of HD Cal resolution vs granuality • … • Algorithm developed in GLD: Consists of several steps • Small-clustering • Gamma Finding • Cluster-track matching • Neutral hadron clustering Red : pion Yellow :gamma Blue : neutron

  25. Jet Energy Resolution (Z-pole) - Z → uds @ 91.2GeV, tile calorimeter, 2cm x 2cm tile size All angle • Performance in the EndCap region is remarkably improved recently. • Almost no angular dependence : 31%/√E for |cosq|<0.9. T.Yoshioka (Tokyo)

  26. Jet Energy Resolution - Energy dependence of jet energy resolution. Next step is  Optimization of detector configuration  Using physics process, such as ZH, TT, etc, - Jet energy resolution linearly degrades. (Fitting region : |cosq|<0.9) T.Yoshioka (Tokyo)

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

  28. Benchmark Processes Benchmark processes recommended by the Benchmark Panel.

  29. 5k events/4y Cross sections + New physics SM processes

  30. GRID for ILC studies • ILC GRID in Japan has just begun • ILC Computing requirements in coming years • Full simulation based detector studies • Detector optimization • Background studies & IR designs, etc • These studies will be based on many bench mark processes. • Cross checking of analysis codes • Sharing and access to beam test data • GRID will be an infrastructure for these studies. • Data sharing • Utilize CPU resources • Among domestic/regional colleagues – easier access to codes & data • We are beginner. as a first step, • First: minimum resources • Get familiar tools and data sharing • CALICEVO & ILCVO

  31. LCG UI SLC3 GRID Configuration: JPY2006 LCG resource outside KEK University LCG LCG/Grid Protocol KEK-LAN F/W ILC NFS GRID-LAN F/W SLC3 NFS LCG/Grid Protocol SLC4 LCG UI KEKCC LCG environment CPU Servers LCG SE2 SE Existing KEK-ILC group resource SE: Storage Element

  32. Backup slides

More Related