May 31th, 2007 LCWS 2007 - C. Gatto 1 Tracking Studies in the 4 th Concept On behalf of 4th Concept Software Group D. Barbareschi V. Di Benedetto E. Cavallo.

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Presentation transcript:

May 31th, 2007 LCWS C. Gatto 1 Tracking Studies in the 4 th Concept On behalf of 4th Concept Software Group D. Barbareschi V. Di Benedetto E. Cavallo F. Ignatov A Mazzacane G. Tassielli G. Terracciano

May 31th, 2007LCWS C. Gatto2 Central Tracker Studies

May 31th, 2007LCWS C. Gatto3 Central Tracker Issues Many interesting results (mostly simulations) at the Tracking Review in Beijing Many interesting results (mostly simulations) at the Tracking Review in Beijing However, simulations were not on equal footing However, simulations were not on equal footing We decided to compare TPC vs DCH vs Si Tracker central trackers within the same framework and with comparable cheat We decided to compare TPC vs DCH vs Si Tracker central trackers within the same framework and with comparable cheat Goal is to find the detector that best matches the Dual Readout Calorimeters and the Muon Spectrometer Goal is to find the detector that best matches the Dual Readout Calorimeters and the Muon Spectrometer

May 31th, 2007LCWS C. Gatto4 TPC vs DCH Material Budget Drift Chamber Gas [He-C4H10/90-10]: 0.15% Gas [He-C4H10/90-10]: 0.15% Wires: 0.4% Wires: 0.4% Vessel: Vessel: Inner wall: 0.1% X/X o Inner wall: 0.1% X/X o Outer wall: 2% X/X o Outer wall: 2% X/X o Endcaps (wires, pads,electronics & services included): 8% X/X o Endcaps (wires, pads,electronics & services included): 8% X/X oTPC Gas[Ar-CF4/97-3]: 1.3% Gas[Ar-CF4/97-3]: 1.3% Vessel: Vessel: Inner wall + cage: 0.29% X/X o Inner wall + cage: 0.29% X/X o Outer wall: 1.2% X/X o Outer wall: 1.2% X/X o Endcaps (wires, pads,electronics & services included): 35-54% X/X o Endcaps (wires, pads,electronics & services included): 35-54% X/X o Beam Pipe: 0.18% X/X o Beam Pipe: 0.18% X/X o VXD: VXD: Detector & support: 0.8% X/X o Detector & support: 0.8% X/X o Outer shield: 0.16% X/X o Outer shield: 0.16% X/X o Central Tracker: Vessel: cm Vessel: cm Active volume: cm Active volume: cm

May 31th, 2007LCWS C. Gatto5 DCH Studies Planner Axial Cell DCH Axial Cell DCH Intended for resolution studies only Intended for resolution studies only Easily interfaceable with existing Seed Finding and Parallel Kalman Filter Easily interfaceable with existing Seed Finding and Parallel Kalman Filter Full Stereo DCH Full Stereo DCH Intended for Occupancy related studies Intended for Occupancy related studies Cannot be easily adapted to existing reconstruction code Cannot be easily adapted to existing reconstruction code Dedicated Pattern recognition (exploiting the vectorial informations provided by the Cluster Counting) Dedicated Pattern recognition (exploiting the vectorial informations provided by the Cluster Counting) Dedicated Track Fitter (not necessarily Kalman Filter) Dedicated Track Fitter (not necessarily Kalman Filter) Short Term Long Term

May 31th, 2007LCWS C. Gatto6 e + e - -> tt -> 6 jets with DCH E CM =500 GeV Loopers Hits per cell vs layer Hits per cell vs layer Occupancy vs layer Occupancy vs layer

May 31th, 2007LCWS C. Gatto7 e + e - -> HHZ -> 4 jets+2muons with DCH E CM =500 GeV Loopers Hits per cell vs layer Hits per cell vs layer Occupancy vs layer Occupancy vs layer

May 31th, 2007LCWS C. Gatto8 Loopers Hits per cell vs layer Hits per cell vs layer Occupancy vs layer Occupancy vs layer e + e - -> H o Z o -> 2 jets+2muons with DCH E CM =230 GeV

May 31th, 2007LCWS C. Gatto9 Loopers Hits per cell vs layer Hits per cell vs layer Occupancy vs layer Occupancy vs layer e + e - -> W + W - -> 4 jets with DCH E CM =500 GeV

May 31th, 2007LCWS C. Gatto10 TPC vs DCH Simulation Drift Chamber Gaussian smearing: Gaussian smearing:  (d)  100  m  (z)  3000  m TPC Gaussian smearing: Gaussian smearing: Mumegas Mumegas  (d)  55/sqrt(12)  m  (d)  55/sqrt(12)  m Pads Pads VXD Full digitization (CCD assumed): Full digitization (CCD assumed):  m x  0 mm Pixel size: 20  m x  0 mm Very conservative

May 31th, 2007LCWS C. Gatto11 Performance with Physics Several channels simulated Several channels simulated 10 muons [0.5,100] GeV e + e - -> W + W - -> 4 E cm = 500 GeV e + e - -> tt -> 6 E cm = 500 GeV e + e - -> H o Z o -> 2 jets 2 E cm = 230 GeV e + e - -> H o H o Z o -> 4 jets 2 E cm = 500 GeV Results not available yet for the Drift Chamber

May 31th, 2007LCWS C. Gatto12  p t ) vs P  [0.5,100] GeV e + e - -> W + W - e + e - -> tt e + e - -> H o Z oTPC

May 31th, 2007LCWS C. Gatto13  p t )  [0.5,100] GeV e + e - -> W + W - e + e - -> tt e + e - -> H o Z oTPC

May 31th, 2007LCWS C. Gatto14 DoDoDoDo  [0.5,100] GeV e + e - -> W + W - e + e - -> tt e + e - -> H o Z oTPC

May 31th, 2007LCWS C. Gatto15   [0.5,100] GeV e + e - -> W + W - e + e - -> H o Z oTPC

May 31th, 2007LCWS C. Gatto16 Tracking Efficiency  [0.5,100] GeV e + e - -> W + W - e + e - -> tt e + e - -> H o Z oTPC

May 31th, 2007LCWS C. Gatto17 Tracking Efficiency TPC e+e- -> tt -> 6 jets

May 31th, 2007LCWS C. Gatto18 e + e - -> H o Z E cm = 230 GeV Analysis  M recoil = 380 MeV (90% RMS)  M recoil = 380 MeV (90% RMS)  M recoil = 250 MeV (gauss fit)  M recoil = 250 MeV (gauss fit)TPC

May 31th, 2007LCWS C. Gatto19 Summary of Performance Tracking efficiency: Tracking efficiency:  reco > 90 % above 100 MeV  reco = 99.7 % above 1.5 Gev TPC + VXD resolution: TPC + VXD resolution:  (1/p t ) = 6 x10 -5 up to  (1/p t ) = 6 x10 -5 up to 8 x10 -4  (  )  0.05 up to 1 mrad  (  )  0.05 up to 1 mrad  (d)  2.6  m up to 15  m  (d)  2.6  m up to 15  m  (z)  3.9  m up to 18  m  (z)  3.9  m up to 18  m Totally dominated by MS Totally dominated by MS e + e - -> H o Z E cm = 230 GeV is the worse caseTPC

May 31th, 2007LCWS C. Gatto20 Plans for Central Tracking Simulation TPC simulation frozen TPC simulation frozen DCH DCH Gaussian smearing response: June 2007 Gaussian smearing response: June 2007 Digitizaton: August 2007 Digitizaton: August 2007 Si tracker Si tracker Will start mid June 2007 Will start mid June 2007 Expect first results in September 2007 Expect first results in September 2007 Start with Gaussian smearing Start with Gaussian smearing Digitization by end of 2007 Digitization by end of 2007

May 31th, 2007LCWS C. Gatto21 Vertex Detector Studies

May 31th, 2007LCWS C. Gatto22 Vertex Detector Studies Digitization and clusterization implemented for VXD Digitization and clusterization implemented for VXD Very parametric implemetation Very parametric implemetation Several tecnologies can be represented Several tecnologies can be represented FTD simulated in IlcRoot (help from Valencia’s group) FTD simulated in IlcRoot (help from Valencia’s group) Gaussian smearing only Gaussian smearing only Kalman filter needs to be optimized Kalman filter needs to be optimized

May 31th, 2007LCWS C. Gatto23 New VXD Digitization & Clusterization Follow the path of the track inside the Si in steps of 1  m Follow the path of the track inside the Si in steps of 1  m convert the energy deposited into charge convert the energy deposited into charge spreads the charge asymmetrically across several pixels: spreads the charge asymmetrically across several pixels: Include also: Include also: capacitive pixel coupling capacitive pixel coupling random noise random noise electronic threshold electronic threshold Clusterization: Clusterization: divide the initial cluster in smaller NxN clusters (to be optimized) divide the initial cluster in smaller NxN clusters (to be optimized) Kalman filter picks up the best clusters Kalman filter picks up the best clusters

May 31th, 2007LCWS C. Gatto24 SiD/4th VXD

May 31th, 2007LCWS C. Gatto25 FTD

May 31th, 2007LCWS C. Gatto26 VXD vs FTD Layout FTD Z=200, 320, 440, 550, 800, 1050, 1300 mm Z=200, 320, 440, 550, 800, 1050, 1300 mm Rin=38, 48,59, 68, 90, 111, 132 mm Rin=38, 48,59, 68, 90, 111, 132 mm Rout=140, 140, 210, 270, 290, 290, 290 mm Rout=140, 140, 210, 270, 290, 290, 290 mm : Azimuth coverage: >5.8° Thickness: 100  m Thermal shield: r=29 VXD Endcaps z=76, 95, 125, 180 mm z=76, 95, 125, 180 mm Rin=16, 16, 20, 20mm Rin=16, 16, 20, 20mm Rout= 75, 75, 75, 75 mm Rout= 75, 75, 75, 75 mm : Azimuth coverage: >6.5° Thickness:  m Thermal shield: r=12 VXD Barrel  z=125 mm  z=125 mm R= m R= , , , and cm : Azimuth coverage: >11° Thickness:  m

May 31th, 2007LCWS C. Gatto27 VXD vs FTD Simulations FTD (gaussian smearing): Barrel: Barrel:  m  r  = 5  m  m  z = 6  m Pixel Endcaps Pixel Endcaps  m  r  = 14  m  m  z = 60  m Strips Endcaps ( ± 20mrad stereo angle) Strips Endcaps ( ± 20mrad stereo angle)  m  r  = 14  m  m/sqrt(12)/tan(40 mrad)  z = 50  m/sqrt(12)/tan(40 mrad) VXD (full digitization):  m x 20  m Pixel size:  20  m x 20  m

May 31th, 2007LCWS C. Gatto28 Track Resolutions VXD

May 31th, 2007LCWS C. Gatto29 e + e - -> tt -> 6 jets VXD

May 31th, 2007LCWS C. Gatto30 Efficiency vs  VXD

May 31th, 2007LCWS C. Gatto31 VXD vs FTD (tt-> 6 jets) FTD Tracking efficiency: Tracking efficiency: Need optimization Params resolution Params resolution  (  ) = 1.3 mrad  (  ) = ~1.3 mrad  ( ) = 1 mrad  ( ) = ~1 mrad  (d)  21  m  (d)  21  m  (z)  17  m  (z)  17  mVXD Tracking efficiency: Tracking efficiency:  reco = 98 %  reco = 99 % above 4 Gev Params resolution : Params resolution :  (  ) = 1.3 mrad  (  ) = ~1.3 mrad  ( ) = 1 mrad  ( ) = ~1 mrad  (d)  18  m  (d)  18  m  (z)  16  m  (z)  16  m

May 31th, 2007LCWS C. Gatto32 Beam Pair Background Study with FTD, VXD and TPC New studies with Guinea Pig (in collaboration with M. Vos and C. Mariñas) New studies with Guinea Pig (in collaboration with M. Vos and C. Mariñas) Beam Parameters (Nominal Settings): Beam Parameters (Nominal Settings): E beam = 250 GeV E beam = 250 GeV N beam = N beam = Bunch Crossing = 140 Bunch Crossing = 140

May 31th, 2007LCWS C. Gatto33 VXD VXD Beam Background

May 31th, 2007LCWS C. Gatto34 FTD Beam Background

May 31th, 2007LCWS C. Gatto35 TPC Beam Background

May 31th, 2007LCWS C. Gatto36 VXD Tracks Reconstruction

May 31th, 2007LCWS C. Gatto37 FTD Tracks Reconstruction

May 31th, 2007LCWS C. Gatto38 TPC Tracks Reconstruction

May 31th, 2007LCWS C. Gatto39 Summary About 13,000 hits found in the VXD (14,000 in FTD+Barrel VXD) About 13,000 hits found in the VXD (14,000 in FTD+Barrel VXD) About 278,000 hits in TPC alone About 278,000 hits in TPC alone About 163 reconstructed tracks (SA Vertex Tracker) About 163 reconstructed tracks (SA Vertex Tracker) VXD average clusters/track = 4.3 VXD average clusters/track = 4.3 About 176 reconstructed tracks in VXD +TPC About 176 reconstructed tracks in VXD +TPC 443 particles entering the TPC 443 particles entering the TPC TPC average clusters/track = 19.6 TPC average clusters/track = 19.6 Very dangerous background when integrating many bunch crossings Very dangerous background when integrating many bunch crossings

May 31th, 2007LCWS C. Gatto40 First DCH occupancy studies presented First DCH occupancy studies presented Occupancy is tolerable Occupancy is tolerable Only 1 beam crossing is integrated with current cell design Only 1 beam crossing is integrated with current cell design Preliminary resolution results in few weeks Preliminary resolution results in few weeks Expect improved performance vs TPC for slow momentum tracks in forward direction Expect improved performance vs TPC for slow momentum tracks in forward direction Multiple scattering lower in He Multiple scattering lower in He Resolution is not dependent on z (no  effect) Resolution is not dependent on z (no  effect) VXD and FTD studies are in progress VXD and FTD studies are in progress SA Kalman filter needs to be optimized for FTD SA Kalman filter needs to be optimized for FTD Strip digitization ready in the next 2-3 months Strip digitization ready in the next 2-3 months Background studies: need more studies Background studies: need more studies Albedo neutrons Albedo neutrons More beam generated background More beam generated background Summary

May 31th, 2007LCWS C. Gatto41 Large effort from the 4th Concept Simulation group to understand optimal tracking Large effort from the 4th Concept Simulation group to understand optimal tracking Other people are getting interested (Valencia, Paris VI (?)) Other people are getting interested (Valencia, Paris VI (?)) Growing interest at Fermilab on Tracking and Calorimetry simulation Growing interest at Fermilab on Tracking and Calorimetry simulation ILCroot is also available at Fermilab 4th Concept also uses Grid Computing at Fermilab Central Tracker studies and background will take center stage in the next few months (TPC vs Si vs DCH) Conclusions

May 31th, 2007 LCWS C. Gatto 42 Backup Slides

May 31th, 2007LCWS C. Gatto43 e + e - -> tt -> 6 jets

May 31th, 2007LCWS C. Gatto44 Marcel Vos’s Talk Orsay2007

May 31th, 2007LCWS C. Gatto45 e + e - -> tt -> 6 jets

May 31th, 2007LCWS C. Gatto46 e + e - -> tt -> 6 jets (VXD+TPC) Barrel only Barrel + EC

May 31th, 2007LCWS C. Gatto47 e + e - -> tt -> 6 jets

May 31th, 2007LCWS C. Gatto48 Kalman Fit Clusters Usage (Guinea Pig – 140 BX) FTD FTD VXD VXD

May 31th, 2007LCWS C. Gatto49 Pulls from Kalman Filter TPC e+e- -> tt -> 6 jets

May 31th, 2007LCWS C. Gatto50 Beam Background Cluster/Track