1. June 2nd, 2007 LCWS 2007 - C. Gatto 1 Calorimetry Studies in the 4th Concept On behalf of 4th Concept Software Group D. Barbareschi V. Di Benedetto E. Cavallo F. Ignatov A. Mazzacane G. Tassielli G. Terracciano

2. June 2nd, 2007LCWS 2007 - C. Gatto2 Outlines New resolution plots for HCAL with increased statistics New resolution plots for HCAL with increased statistics New Dual Readout ECAL New Dual Readout ECAL More studies involving calorimetry and Muon Spectrometer More studies involving calorimetry and Muon Spectrometer

3. June 2nd, 2007LCWS 2007 - C. Gatto3 Simulation Details Full simulation is in place HCAL and ECAL (no gaussian smearing nor perfect pattern recognition) Full simulation is in place HCAL and ECAL (no gaussian smearing nor perfect pattern recognition) Hits using Fluka (for calorimeter studies) Hits using Fluka (for calorimeter studies) Cerenkov and Scintillation photon production and propagation in the fibers fully simulated Cerenkov and Scintillation photon production and propagation in the fibers fully simulated Full SDigits + Digits + Pattern Recognition chain implemented Full SDigits + Digits + Pattern Recognition chain implemented PID implemented PID implemented

4. June 2nd, 2007LCWS 2007 - C. Gatto4 Reconstruction Details (ECAL and HCAL) Build Clusters from cells distant no more than two towers away Build Clusters from cells distant no more than two towers away Unfold overlapping clusters through a Minuit fit to cluster shape (in progress) Unfold overlapping clusters through a Minuit fit to cluster shape (in progress) Get  s and  c with a calibration run at 40 GeV Get  s and  c with a calibration run at 40 GeV Compute E tot from E C and E S with: Compute E tot from E C and E S with:  s *E S (  c -1) -  c *E C (  s -1) E tot = -------------------------------------  c –  s  s *E S (  c -1) -  c *E C (  s -1) E tot = -------------------------------------  c –  s PID PID

5. June 2nd, 2007LCWS 2007 - C. Gatto5 The 4th Concept Hadron Calorimeter Cu + scintillating fibers + Ĉerenkov fibers 3° aperture angle ~ 10 int depth Fully projective geometry Azimuth coverage down to 3.8° Barrel: 13924 cells Endcaps: 3164 cells

6. June 2nd, 2007LCWS 2007 - C. Gatto6 Bottom view of single cell Bottom cell size: ~4.8 cm Top cell size: ~ 8.8 cm Prospective view of clipped cell Cell length: 150 cm Number of fibers inside each cell: 1980 equally subdivided between Scintillating and Cerenkov Fiber stepping ~2 mm HCAL Cells

7. June 2nd, 2007LCWS 2007 - C. Gatto7 HCAL Performance Studies Studies redone with larger statistics Studies redone with larger statistics Single particle and jet performance (see A. Mazzacane’s talk on jet finding) Single particle and jet performance (see A. Mazzacane’s talk on jet finding) Improved pattern recognition has negligeable effect Improved pattern recognition has negligeable effect

8. June 2nd, 2007LCWS 2007 - C. Gatto8 HCAL Resolution Plots 40 GeV  - 40 GeV e -

9. June 2nd, 2007LCWS 2007 - C. Gatto9 40 GeV Reconstructed Pion

10. June 2nd, 2007LCWS 2007 - C. Gatto10 HCAL resolution with single 

11. June 2nd, 2007LCWS 2007 - C. Gatto11 HCAL response with single  Visible energy fully measured  c &  s Independent on Energy

12. June 2nd, 2007LCWS 2007 - C. Gatto12 PID from HCAL 40 GeV particles 40 GeV particles

13. June 2nd, 2007LCWS 2007 - C. Gatto13 Jets Performance Studies  qq generated in E cm = [60, 500] GeV range e + e -  qq generated in E cm = [60, 500] GeV range Only total reconstructed energy considered Only total reconstructed energy considered No attempt to reconstruct the jet or to correct for escaping muon No attempt to reconstruct the jet or to correct for escaping muon See A. Mazzacane’s talk for jet finding See A. Mazzacane’s talk for jet finding

14. June 2nd, 2007LCWS 2007 - C. Gatto14 60 GeV dijets events 7 GeV muon

15. June 2nd, 2007LCWS 2007 - C. Gatto15 Di-jets Energy Resolution

16. June 2nd, 2007LCWS 2007 - C. Gatto16 HCAL resolution with di-jets 30 GeV jets

17. June 2nd, 2007LCWS 2007 - C. Gatto17 HCAL response with di-jets

18. June 2nd, 2007LCWS 2007 - C. Gatto18 ECAL + HCAL

19. June 2nd, 2007LCWS 2007 - C. Gatto19 The 4th Concept Crystal Calorimeter 25 cm PbF 2 with 0.15% Gd doping ~ 1.25 X/X o ~ 27.7 X/X o Fully projective geometry ~1.5° aperture angle Azimuth coverage down to 3.4° Barrel: 55696 cells (944slices containing 236 cells) Endcaps: 12656 cells arranged in 108 rings

20. June 2nd, 2007LCWS 2007 - C. Gatto20 ECAL Performance Studies Assume 10% QE and PbF2 doped with 0.15% Gd Assume 10% QE and PbF2 doped with 0.15% Gd Scintillation pe yield: 4.5 pe/MeV Scintillation pe yield: 4.5 pe/MeV Cerenkov pe yield: 1.5 pe/MeV Cerenkov pe yield: 1.5 pe/MeV Preliminary resolution results with  o in 10- 200 GeV range Preliminary resolution results with  o in 10- 200 GeV range  ->  studies in progress  ->  studies in progress

21. June 2nd, 2007LCWS 2007 - C. Gatto21 70 GeV  o in ECAL+HCAL

22. June 2nd, 2007LCWS 2007 - C. Gatto22 Resolution for 40 GeV e -

23. June 2nd, 2007LCWS 2007 - C. Gatto23 Resolution for  o ’s ECAL+HCAL

24. June 2nd, 2007LCWS 2007 - C. Gatto24 Energy Response for  o ’s ECAL+HCAL 1.7% Correction Factor

25. June 2nd, 2007LCWS 2007 - C. Gatto25 MUD and Calorimetry Essential for jet reconstruction Essential for jet reconstruction Measure the momentum of hard particles escaping the calorimeter Measure the momentum of hard particles escaping the calorimeter Tail catcher for HCAL Tail catcher for HCAL Provides continuous calibration via muon brehemstralung Provides continuous calibration via muon brehemstralung

26. June 2nd, 2007 LCWS 2007 - C. Gatto 26  +  − at 3.5 GeV/c

27. June 2nd, 2007 LCWS 2007 - C. Gatto 27 Muon Spectrometer with Dual Solenoid (MUD) Barrel: 31500 tubes 21000 channels 840 cards End caps: 8640 tubes 9792 channels 456 cards Total: 40140 tubes 30792 channels 1296 cards

28. June 2nd, 2007 LCWS 2007 - C. Gatto 28 MUD for jet finding and tail catching 80 GeV shower with escaping particles

29. June 2nd, 2007LCWS 2007 - C. Gatto29 MUD for Calorimeter Calibration P CT =44.5 GeV P CT =44.5 GeV P MUD =38.0 GeV P MUD =38.0 GeV E  (truth)=8.0 GeV E  (truth)=8.0 GeV    

30. June 2nd, 2007LCWS 2007 - C. Gatto30 Efficiency (Barrel Only) P>20 GeV P>20 GeV Tracks already reconstructed in TPC Tracks already reconstructed in TPC P>4 GeV P>4 GeV Cracks excluded Cracks excluded Tracks already reconstructed in TPC Tracks already reconstructed in TPC

31. June 2nd, 2007LCWS 2007 - C. Gatto31 e + e - -> H o H o Z o -> 4 jets 2 muons E cm = 500 GeV Efficiency (total) = 92% (no SA tracker) Efficiency (total) = 92% (no SA tracker)

32. June 2nd, 2007LCWS 2007 - C. Gatto32 MUD Performance Tracking is working for: Tracking is working for: P t > 400 MeV P t > 400 MeV |  | > 45 ° (barrel only) |  | > 45 ° (barrel only) High momentum tracks resolution: High momentum tracks resolution:  (1/p t )  1.6 x 10 -3  (1/p t )  1.6 x 10 -3 Efficiency (P t >6 GeV) = 95% Efficiency (P t >6 GeV) = 95% Very conservative 200  m single point resolution used

33. June 2nd, 2007LCWS 2007 - C. Gatto33 P t Resolution

34. June 2nd, 2007LCWS 2007 - C. Gatto34 Conclusions Performance of Hadron Calorimeter is good (including pattern recognition) and INDEPENDENT OF ENERGY: Performance of Hadron Calorimeter is good (including pattern recognition) and INDEPENDENT OF ENERGY:  E /E = 34%/  E (single hadrons)  E /E = 40%/  E (jets – total energy – no corrections) Expected to improve with jet finding (recovery of soft tracks and lost muons) Expected to improve with jet finding (recovery of soft tracks and lost muons) Detector optimization not yet started (Cu vs Pb, fibers fraction) Detector optimization not yet started (Cu vs Pb, fibers fraction) New Dual Readout EMCAL implemented New Dual Readout EMCAL implemented  E /E = 6%/  E ECAL (very preliminary)  E /E = 9%/  E ECAL+HCAL (very preliminary)    separation from  decay is under study    separation from  decay is under study Very high efficiency of muon finding in the midst of 4 jets (Muon Spectrometer) Very high efficiency of muon finding in the midst of 4 jets (Muon Spectrometer)

35. June 2nd, 2007LCWS 2007 - C. Gatto35 Finding muons in the midst of jets Low pt secondary muon e + e - -> H o H o Z o  4 jets 2 muons

36. June 2nd, 2007LCWS 2007 - C. Gatto36 Backup slides

37. June 2nd, 2007LCWS 2007 - C. Gatto37 PE Distribution 40 GeV  - 40 GeV  - Scintillation Cerenkov

38. June 2nd, 2007 LCWS 2007 - C. Gatto 38 4 th Concept Detector Layout Triple-readout fiber calorimeter: scintillation/Cerenkov/neutron Muon dual-solenoid iron-free geometry 6.4 m 7.7 m NOVEL FEATURES:

39. June 2nd, 2007LCWS 2007 - C. Gatto39 Present Status: VXD+TPC+DREAM e+e  HoZo->qqqq

40. June 2nd, 2007LCWS 2007 - C. Gatto40 Dream Performance (pions)

41. June 2nd, 2007LCWS 2007 - C. Gatto41 Fluka vs G3/G4 Fluka Geant3 Geant4  - at 50 GeV in Pb Sphere of 500 cm Radius

42. June 2nd, 2007 LCWS 2007 - C. Gatto 42 m-System basic element: drift tube radius 2.3 cm filled with 90% He – 10% iC 4 H 10 @ NTP gas gain few × 10 5 total drift time 2 µs primary ionization 13 cluster/cm  ≈ 20 electrons/cm total both ends instrumented with: > 1.5 GHz bandwith 8 bit fADC > 2 Gsa/s sampling rate free running memory for a fully efficient timing of primary ionization: cluster counting accurate measurement of longitudinal position with charge division particle identification with dN cl /dx ASIC chip under development at INFN-LE F. Grancagnolo talk, ILC Workshop Valencia 2006

43. June 2nd, 2007LCWS 2007 - C. Gatto43

44. June 2nd, 2007LCWS 2007 - C. Gatto44

45. June 2nd, 2007LCWS 2007 - C. Gatto45

46. June 2nd, 2007LCWS 2007 - C. Gatto46

47. June 2nd, 2007 LCWS 2007 - C. Gatto 47 F. GrancagnoloILC Workshop Valencia, 8. 11. 2006 Full Spectrometer

48. June 2nd, 2007LCWS 2007 - C. Gatto48 Present Status: VXD+TPC+DREAM e+e  HoZo->qqqq

49. June 2nd, 2007LCWS 2007 - C. Gatto49 P t Resolution (0.3-20 GeV)

50. June 2nd, 2007LCWS 2007 - C. Gatto50 Tracking Algorithm Primary TPC seeding: looks for tracks with 20 hits (pads and/or  megas) apart + beam constraint Primary TPC seeding: looks for tracks with 20 hits (pads and/or  megas) apart + beam constraint Secondary TPC seeding: looks for tracks with hits in layer 1, 4 and 7 (no beam constraint) Secondary TPC seeding: looks for tracks with hits in layer 1, 4 and 7 (no beam constraint) Parallel Kalman Filter then initiated: Parallel Kalman Filter then initiated: 1st step: start from TPC fit + prolongation to VXD (add clusters there) 1st step: start from TPC fit + prolongation to VXD (add clusters there) 2st step: start from VXD, refit trough TPC + prolongation to MUD 2st step: start from VXD, refit trough TPC + prolongation to MUD 3st step: start from MUD and refit inword with TPC + VXD 3st step: start from MUD and refit inword with TPC + VXD Final step: isolated tracks in VXD and in MUD Final step: isolated tracks in VXD and in MUD Kinks and V0 fitted during the Kalman filtering Kinks and V0 fitted during the Kalman filtering All passive materials taken into account for MS and dEdx corrections All passive materials taken into account for MS and dEdx corrections

51. June 2nd, 2007LCWS 2007 - C. Gatto51 MUD Simulation Individual Drift Tubes, no support, electronics, services Individual Drift Tubes, no support, electronics, services Gaussian smearing of hits (200  m x 4mm) to make Fastrecpoints (no Cluster Counting yet) Gaussian smearing of hits (200  m x 4mm) to make Fastrecpoints (no Cluster Counting yet) Pattern recognition through Parallel Kalman Filter Pattern recognition through Parallel Kalman Filter Standalone Tracker not yet implemented Standalone Tracker not yet implemented

52. June 2nd, 2007 LCWS 2007 - C. Gatto 52 ×3×3 Muon Spectrometer ×2×2

53. June 2nd, 2007 LCWS 2007 - C. Gatto 53 TPC  - BARREL   - E C N A D P Dual Solenoid B-field A. Mikailicenko talk, ILC Workshop Valencia 2006

54. June 2nd, 2007LCWS 2007 - C. Gatto54 Simulation Steps MC Generation  Energy Deposits in Detector SDigitization  Detector response from single particle Digitization  Detector response combined Pattern Recognition  Recpoints Shower Calibration  Particles PID Hits: produced by MC (Fluka) Hits: produced by MC (Fluka) SDigits: SDigits: simulate detector response for each hit (Cerenkov and Scintillation fibers) simulate detector response for each hit (Cerenkov and Scintillation fibers) Simulate electronics Simulate electronics Add random noise Add random noise Digits: Digits: merge digit from several files of SDigits (example Signal + Beam Bkgnd) merge digit from several files of SDigits (example Signal + Beam Bkgnd) Apply threshold Apply threshold Recpoints: Recpoints: Clusterize nearby Digits Clusterize nearby Digits Unfold overlapping showers Unfold overlapping showers