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/WebHomehttp://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 (1)Design and development of reliable Particle Flow Algorithm (PFA) which allows studying the design and the geometry of the future detector for the ILC, (2)Design and development of a DAQ system compatible with the new generation of calorimeter currently in design and prototype for the ILC, and (3)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. Vertexing Tracking Jet energy (Higgs self-coupling, W/Z sep. in SUSY study) Hermeticity (http://blueox.uoregon.edu/~lc/randd.pdf) ILC Detector Performance Goals “High granularity” will be a key feature of ILC detectors

7. SUSY study in jet mode LSP+WWLSP+ZZ  (0.5TeV, fb)20.11.8 No. of jet events (0.5ab -1 ) 4641441 M 1 qq(GeV) M 2 qq(GeV) M 1 qq(GeV) M 2 qq(GeV) Hard to find Neurtalino SUSY parameter: m 0 =500GeV,  =400GeV M 2 =250GeV, tan  =3

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 cahrged scale ~ 1/R 2

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

10. GLD Configuration - 2 TPC: R: 0.45  2.0m, ~200 radial sample Half Z: 2.3m MPGD readout:  r  <150  m SIT: Silicon Strip Barrel/Endcap VTX: Fine Pixel CCD: ~5x5mm 2 2 layers x 3 Super Layers

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/softhttp://acfahep.kek.jp/subg/sim/soft  GLD Software at http://ilcphys.kek.jp/softhttp://ilcphys.kek.jp/soft  All packages are kept in the CVS. Accessible from http://jlccvs.kek.jp/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 ROOT objects : Event Tree & Configuration Event Generator Detector Simulator Event Reconstruction Physics Analysis Beamtest Analysis Digitizer Finder Fitter QuickSim FullSim Pythia CAIN StdHep JSF is a ROOT based application to provide a common interface to physicists http://root.cern.ch/

15. Jupiter/Satellites for Full Simulation Studies 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

16. Jupiter feature - 1 Modular organization of source codes for easy installation of sub-detectors Based on Geant4 8.0p1 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.

17. 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. Break point Pre-hits

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

19. By H.Ono

21. 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

22. Typical Event Display - ZH → h : Two jets from Higgs can be seen.

23. Momentum resolution Exact hit points created by single  were fitted by Kalman filter package  pt /p t 2 (GeV -1 )

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

25. e+e+ 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

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

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

28. CPU time/Data size Data size Xenon 3 GHz (32bit) for 500 1/fb ProcessMB/evCPU sec/ev.#ev.GBcpu day qq 91 GeV~1.5~150 qq 350 GeV~3.0~270 ee  ZH  H 350GeV~2.0~300 14k28 48.6 ee  H 350GeV~1.9~170 15k29 29.5 ee  eeH 350GeV~2.3~380 1.5k 3.5 15.4 ee  ZZ  qq 350GeV~1.7~200 110k187 255.6 ee  e W  e qq 350GeV~1.6~2401000k16000 2777.8 ZH  qqH 350GeV~3.8~300 49k186 170.1 ZZ  qqqq 350GeV~3.3~340 434k1432 1707.8 ( cpu time is about half at KEKCC, AMD 2.5GHz 64bit )

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

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

31. 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

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

33. Backup slides