1. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Peter Križan University of Ljubljana and J. Stefan Institute Simulations for SuperBelle SuperB computing mini workshop, Dec 7, 2007

2. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC SVD CDC TOP RICH ECL EndCap-KLM (sintillator) Super-Belle Detector Barrel-KLM (RPC)

3. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Belle upgrade – side view

4. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Simulations for upgraded detector Two levels of sophistication: Full Geant4 MC of the upgraded detector Fast simulator for feasibility studies Full Geant4 simulation: Realistic response of components Investigation of the interactions between the components (e.g. PID devices in front of the calorimeter) Investigation of backgrounds Determination of parameters for the fast MC

5. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Full MC g4superb kernel io, table svd cdc top rich ecl klm

6. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Full MC g4superb kernel io, table svd cdc top rich ecl klm EventAction PhysicsList DetectorConstruction PrimaryGeneratorAction construct sub-detectors define physics and particles generator interface control digitization timing & output

7. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Full MC g4superb kernel io, table svd cdc top rich ecl klm InputManager OutputManager Interface for generator file/DB EvtGen in standard Belle generator format, provision for support of others File/DB-output interface class Standard Belle analysis format; provision for support of others

8. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Full MC g4superb kernel io, table svd cdc top rich ecl klm Materials for objects Solids (shapes) for objects Detection of particles / interactions (SensitiveDetector) How to make hits How to digitize Limitations (step-length etc.)

9. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Examples: SVD

10. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Aerogel RICH (forward region) Aerogel radiator (hexagons) Photon detectors  added the support structures, approx. electronics

11. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC EventDisplay

12. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC EventDisplay

13. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Full MC and reco status Removed geometry overlaps within and between sub- detectors Backgrounds: being added Reconstruction for most subdetectors ready

14. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Example: forward PID device Simulation Particles are tracked through the aerogel RICH Cherenkov photons are generated in the aerogel and the quartz window of the photon detector Cherenkov photons are Rayleigh scattered in the aerogel Photons are tracked through the quartz window of the photon detector And registered as hits if they are “detected” Background hits (determined from random events and beam test data) are added

15. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Example: forward PID device Reconstruction Get track parameters from the reconstructed track list For hit photon detector pads calculate expected number of hits for a given track and ID hypothesis Construct the likelihood functions for 5 hypotheses

16. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Fast MC Input (and tuning) from MC for present Belle and data, with extrapolations to new design – different material distribution, sensors (most components)  resolutions, efficiencies, backgrounds Stand-alone full MC and test beam data for new components (e.g., barrel and forward PID)

17. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Fast MC: some details photons –resolutions (energy, angle): function of energy + correction for barrel-endcap gaps Crystall ball energy resolution Gaussian angular resolution –efficiency Simple function of E + correction for gaps charged tracks –resolutions (helix parameters) Helix parameter errros are given in mesh of (|p|,theta) and read in from.dat files

18. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Fast MC: forward PID device Take the smeared track parameters Calculate resolution in Cherenkov angle for single photons, expected number of detected photons Get background level Generate Cherenkov angle distribution Calculate likelhoods for indvidual hypotheses

19. Peter Križan, Ljubljana Dec 7, 2007 Mini WS, SLAC Fast MC status Fast MC is ready, has already been used for some analyses Some discrepancies have been observed, and are being debugged