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29/4 /2010 – II Panda Russia Meeting – Maria Pia Bussa

29/4 /2010 – II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino. Report on software activities with PandaRoot in Torino. Design of the Muon Tracker ( George Serbanut ). MDT Pattern Recognition ( Stefano Spataro ).

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29/4 /2010 – II Panda Russia Meeting – Maria Pia Bussa

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  1. 29/4/2010 – II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Report on software activities with PandaRoot in Torino Design of the Muon Tracker (George Serbanut) MDT Pattern Recognition (Stefano Spataro) Muon vs Pion discrimination in PID (Marco Destefanis)

  2. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino collaboration JINR – Dubna (RU) Gieen – Germany (D) Design of Muon Tracker (MDT) highest efficiency in muon identification strong hadronic background benchmark channel Drell-Yan signal-to-noise  10-6

  3. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Geometry Implementations MDT Design 10 @3GeV/c Magnet not aligned with MDT (dec 2009) Room for improvement? Waiting for new design

  4. Muon System in PandaRoot All available in PandaRoot and tested TS_Barrel TS_Endcap MF FRS Credits to Valery Rodionov

  5. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Simplified Geometry (George Serbanut) simplified geometry ArCo2 planes 2,5 cm thickness PndMdt *Muo = new PndMdt("MDT",kTRUE): Muo->SetBarrel("torino"); Muo->SetEndcap("torino"); Muo->SetMuonFilter("torino"); fRun->AddModule(Muo); • Barrel • Encap • Muon Filter

  6. Magnet Design Full CAD conversion (Tobias Stockmanns) FairModule *Magnet= new PndMagnet("MAGNET"); Magnet->SetGeometryFileName ("FullSolenoid_V842.root"); fRun->AddModule(Magnet); Coils CAD conversion (Tobias Stockmanns) FairModule *Magnet= new PndMagnet("MAGNET"); Magnet->SetGeometryFileName ("FullSuperconductingSolenoid_V831.root"); fRun->AddModule(Magnet); MDT Design - TDR (George Serbanut) PndMdt *Muo = new PndMdt("MDT",kTRUE); Muo->SetBarrel… Muo->SetMdtMagnet(kTRUE); Muo->SetMdtMFIron(kTRUE); fRun->AddModule(Muo);

  7. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Stefano Spataro MDT Pattern Recognition MdtHit Energy Loss > 0 MdtHit Position Smearing 0.3 cm -> 1 cm bar

  8. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Pattern Recognition MdtHit from inner layer one tracklet PndMdtTrk closest hit in next layer in a search cone and so on… and so on… Endcap and Muon Filter threated as single module

  9. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Track Propagation to MDT layers MDT hit (layer 0) GEANE extrapolation central tracking

  10. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino • @ 3 GeV/c  @ 3 GeV/c  @ 1 GeV/c Barrel Propagation Residuals for track propagated to first MDT layer

  11. Test Simulation Data • 5000 events • PID  ,  • P  1, 3 GeV/c •   [5°, 90°] •   [0°, 360°]  @ 1 GeV/c EC BARREL  @ 1 GeV/c Momentum Loss Vertex – MDT Layer 0 EC BARREL DISC is missing

  12. Muon Detection @barrel MDT layer multiplicity vs p MUON (barrel) PION (barrel) Single m track reconstructed in 0-4 GeV range

  13. Fired Layers – 3 GeV/c  @ 3 GeV/c  @ 3 GeV/c

  14. Fired Layers – 1 GeV/c  @ 1 GeV/c  @ 1 GeV/c

  15. 29/4/2010 – II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Work in PandaRoot @Torino • muon global tracking with the Muon System - pattern recognition based on GEANE track follower - implementation of MDT inside the Kalman filter - Multivariate algorithm for muon identification • rejection of the secondary muonbackground • acceptance study for dimuon in J/y formation just started • search for discriminating variables for PID

  16. 8/3/2010 – XXXII Panda Meeting, GSI - Stefano Spataro Bayesian Approach for Particle Identification in Panda(Root) Requirements for Particle Identification different detectors for PID covering different momentum/angle ranges MVD, TPC/STT, Cherenkov, EMC, MDT… • handling of different PID signals (dE/dx, C, EMC shower, …) • combining several PID detectors to improve identification • if one detector does not contribute to PID, it should not decrease the identification perfomances

  17. 8/3/2010 – XXXII Panda Meeting, GSI - Stefano Spataro Bayesian Approach for Particle Identification in Panda(Root) Requirements for Particle Identification (II) • handling of different PID signals (dE/dx, C, EMC shower, …) • combining several PID detectors to improve identification • if one detector does not contribute to PID, it should not decrease the identification perfomances • PID procedure should be as much as possible automatic • PID depends also on analysis • Detector response (i.e. resolution) • Event/track selection (analysis) we need to separate

  18. 8/3/2010 – XXXII Panda Meeting, GSI - Stefano Spataro Bayesian Approach for Particle Identification in Panda(Root) The Bayes Theorem If many detectors/algorythms constributing to PID Global Likelihood k = MVD dE/dx, DRC C… Probability that a given track with given params x corresponds to particle type h

  19. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino q angle M. Destefanis Search for parameters discriminating m vs p p m barrel 1st layer hit • 100000 events • PID  -, - • P  0.5, 4.5 GeV/c •   [0°, 90°] •   [0°, 360°] • no Forward RS • 100% efficiency f angle p m

  20. muon pion 8/3/2010 – XXXII Panda Meeting, GSI – Marco Destefanis Muon subgroup meeting Total nuber of layer hit vs momentum@vertex - - Barrel Barrel+EC+MF EndcapC+MF

  21. muon pion 8/3/2010 – XXXII Panda Meeting, GSI – Marco Destefanis Muon subgroup meeting Last layer vs total number of layer hit - - Barrel Barrel+EC+MF EndCap+MF

  22. 8/3/2010 – XXXII Panda Meeting, GSI – Marco Destefanis Muon subgroup meeting Iron crossed by the particles - - Counts muon cm Barrel Barrel&EC&MF EC&MF Counts Sailing through pions pion cm

  23. Interaction and decayofp- interaction decay

  24. 29/4/2010 –II Panda Russia Meeting – Maria Pia Bussa Recent results from Muon simulation and software in Torino Final remarks • Detector description ready in PandaRoot • Realistic simulation needed to evaluate layout and number of channel required • Test on prototype essential to check MC expectations • Muon System included in pattern recognition, track reconstruction and PID • lack of human resources for software work and beam test

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