Presentation is loading. Please wait.

Presentation is loading. Please wait.

F1 Contribution to ILC Vertex Detector Tobias Haas 23 Febuary 2005.

Similar presentations


Presentation on theme: "F1 Contribution to ILC Vertex Detector Tobias Haas 23 Febuary 2005."— Presentation transcript:

1 F1 Contribution to ILC Vertex Detector Tobias Haas 23 Febuary 2005

2 Tobias Haas: Physics at a Future Linear Collider Linear Collider Basics LEP gave ~ 1 fb -1 /expt. in 11 years, with 10 7 Z 0 LEP1 LEP gave ~ 1 fb -1 /expt. in 11 years, with 10 7 Z 0 LEP1 At √s = 500 GeV one needs 500 fb -1 to get: At √s = 500 GeV one needs 500 fb -1 to get: ~ 30,000 Zh 120 ~ 50,000 h 120 νν 10 6 W + W - At √s = 1000 GeV one needs 1000 fb -1 to get: At √s = 1000 GeV one needs 1000 fb -1 to get: ~ 6,000 HA (300GeV) ~ 3,000 h 500 νν ~ 2,000 WWνν (if no Higgs) Need lots of luminosity to scan multiple thresholds, vary polarisation, go to γγ, e - γ, e - e - Need lots of luminosity to scan multiple thresholds, vary polarisation, go to γγ, e - γ, e - e -

3 Tobias Haas: Physics at a Future Linear Collider Detector Considerations Vertexing: Vertexing: Flavour tagging with high purity and efficiency Flavour tagging with high purity and efficiency Tracking: Tracking: Momentum resolution to measure recoil masses Momentum resolution to measure recoil masses Calorimetry: Calorimetry: Good segmentation and excellent EM energy resolution Good segmentation and excellent EM energy resolution

4 Tobias Haas: Physics at a Future Linear Collider VXD for Heavy Flavour Identification Flavour couplings of Higgs are basic to test SUSY scenarios: Many have different +2/3 vs. - 1/3 couplings. b vs. c best hope. Flavour couplings of Higgs are basic to test SUSY scenarios: Many have different +2/3 vs. - 1/3 couplings. b vs. c best hope. 5 layers with 800 Mio pixels. Innermost layer at 1.5 cm 5 layers with 800 Mio pixels. Innermost layer at 1.5 cm 0.03% X 0 /layer 0.03% X 0 /layer

5 Visions of a VXD 5 Layers 20 x 20  m 2 pixels Sensor thickness < 60  m 799 Mpixels Readout time 50  s This is a major R&D project

6 Topics of VXD R&D Sensor technology← DESY –Efficiency, S/N, cost, ease of use, speed, radiation tolerance, environmental constraints DAQ Thinning← DESY Support, Cooling← DESY Detector design and integration← DESY DESY/F1 activities started already in 2001

7 Tobias Haas: Physics at a Future Linear Collider Some Example Activities Topic 1: Topic 1: Best possible VXD vs. What do we need to do the physics? Best possible VXD vs. What do we need to do the physics? Topic 2: Topic 2: Develop a sensor technology that does the job. Develop a sensor technology that does the job. Topic 3: Topic 3: How do we put sensors together to make a real detector? How do we put sensors together to make a real detector?

8 Tobias Haas: Physics at a Future Linear Collider Some Example Activities Topic 1: Topic 1: Best possible VXD vs. What do we need to do the physics? Best possible VXD vs. What do we need to do the physics? Topic 2: Topic 2: Develop a sensor technology that does the job. Develop a sensor technology that does the job. Topic 3: Topic 3: How do we put sensors together to make a real detector? How do we put sensors together to make a real detector?

9 MVD Meeting, 11/11/2003, Tobias Haas, DESY Introduction Goal: Goal: Optimization of design parameters for VXD: Optimization of design parameters for VXD: Support, sensor thickness, overlaps, layer spacing… Support, sensor thickness, overlaps, layer spacing… Special considerations for specific technologies: MAPS, CCD, DEPFET Special considerations for specific technologies: MAPS, CCD, DEPFET Placement of readout Placement of readout Power, etc. Power, etc. Steps Steps First First Explore many configurations quickly Explore many configurations quickly Moderate Accuracy Moderate Accuracy Full physics capabilities Full physics capabilities Second Second Verify results with a high precision tool Verify results with a high precision tool  SGV

10 MVD Meeting, 11/11/2003, Tobias Haas, DESY Optimization Parameters What should be the optimization parameters? What should be the optimization parameters? e.g. Tagging Efficiency… e.g. Tagging Efficiency… … or effective error on some physics process? … or effective error on some physics process? S. Xella-Hansen et al. LC-PHSM ΔM ?

11 MVD Meeting, 11/11/2003, Tobias Haas, DESY Detector Optimization using a Complete “Toy” Analysis Requirements: Requirements: Physics Generators Physics Generators Fast Simulation (SGV) Fast Simulation (SGV) Reconstruction/Analysis Suite Reconstruction/Analysis Suite Tracking Tracking EFOs EFOs Jet Finders Jet Finders Vertexing Vertexing Flavor Tagging Flavor Tagging … More or less covered by SGV Not covered by SGV (ZVTOP)

12 MVD Meeting, 11/11/2003, Tobias Haas, DESY Contribution of V. Adler V. Adler has latched b-tagging used in Brahms onto SGV V. Adler has latched b-tagging used in Brahms onto SGV Not a completely trivial procedure: Not a completely trivial procedure: Refit the resolution function to match the data set Refit the resolution function to match the data set A number of numerical issues (mostly evaluation of integrals) A number of numerical issues (mostly evaluation of integrals) Extend range of “Joint-Probability” tag to cover impact parameters significances up to 200 Extend range of “Joint-Probability” tag to cover impact parameters significances up to 200 Tune the definition of which tracks enter into the ZVTOP procedure Tune the definition of which tracks enter into the ZVTOP procedure … get all coordinate transformations right! … get all coordinate transformations right!

13 MVD Meeting, 11/11/2003, Tobias Haas, DESY B-tagging 4 algorithms classify jets: 4 algorithms classify jets: Impact parameter joint probability tag Impact parameter joint probability tag “tear down” vertex finder “tear down” vertex finder “most significant” tracks in the jet “most significant” tracks in the jet ZVTOP ZVTOP NN gives three tagging outputs NN gives three tagging outputs B tag B tag C tag C tag B/C distinction tag B/C distinction tag

14 MVD Meeting, 11/11/2003, Tobias Haas, DESY Example ntuple thanks to Stefania Xella-Hansen

15 MVD Meeting, 11/11/2003, Tobias Haas, DESY Contribution of Pawel Łuzniak

16 MVD Meeting, 11/11/2003, Tobias Haas, DESY

17

18 Finally: Use for Detector Optimization Studies: Note: Result is compatible with results by T. Kuhl using SIMDET Note: Result is compatible with results by T. Kuhl using SIMDET

19 MVD Meeting, 11/11/2003, Tobias Haas, DESY Some Example Activities Topic 1: Topic 1: Best possible VXD vs. What do we need to do the physics? Best possible VXD vs. What do we need to do the physics? Topic 2: Topic 2: Develop a sensor technology that does the job. Develop a sensor technology that does the job. Topic 3: Topic 3: How do we put sensors together to make a real detector? How do we put sensors together to make a real detector?

20 MVD Meeting, 11/11/2003, Tobias Haas, DESY Sensor Technology Choices MAPS (monolithic active pixel sensor) MAPS (monolithic active pixel sensor) Integrated R/O and sensor in CMOS Integrated R/O and sensor in CMOS Piggy-back on commercial developments Piggy-back on commercial developments Key Player: IRES Strasbourg Key Player: IRES Strasbourg CCD CCD Long experience (SLD), large devices Long experience (SLD), large devices Piggy-back on other scientific CCD development (Astronomy, synchrotron rad) Piggy-back on other scientific CCD development (Astronomy, synchrotron rad) Key Player: RAL Key Player: RAL DepFets DepFets Thick active volume (Depletion voltage!) Thick active volume (Depletion voltage!) Looks promising also for X-ray detection Looks promising also for X-ray detection expensive expensive Key Player: (MPI Munich) Key Player: (MPI Munich) SOI (Silicon on Insulator) SOI (Silicon on Insulator) Great interest emerging recently Great interest emerging recently Key Player: Cracow Key Player: Cracow

21 MVD Meeting, 11/11/2003, Tobias Haas, DESY

22

23

24 Questions Reproduce Strasbourg results Reproduce Strasbourg results Investigate radiation tolerance and cross check with simulation Investigate radiation tolerance and cross check with simulation Study device properties in detail under various conditions Study device properties in detail under various conditions Operate in magnetic fields Operate in magnetic fields Study power switching Study power switching Develop testbeam infrastructure (pixel telescope) Develop testbeam infrastructure (pixel telescope) …

25 MVD Meeting, 11/11/2003, Tobias Haas, DESY Some Example Activities Topic 1: Topic 1: Best possible VXD vs. What do we need to do the physics? Best possible VXD vs. What do we need to do the physics? Topic 2: Topic 2: Develop a sensor technology that does the job. Develop a sensor technology that does the job. Topic 3: Topic 3: How do we put sensors together to make a real detector? How do we put sensors together to make a real detector?

26 MVD Meeting, 11/11/2003, Tobias Haas, DESY

27 Contributions by J. Hauschild, B. Löhr, C. Muhl

28 MVD Meeting, 11/11/2003, Tobias Haas, DESY

29 Outlook and Activities Physics Studies: Physics Studies: Work on the list of identified reference processes Work on the list of identified reference processes Contribute to the overall software effort Contribute to the overall software effort Push the detector technology Push the detector technology Build a pixel telescope Build a pixel telescope Contribute to the chip design Contribute to the chip design Workout viable overall detector schemes: Workout viable overall detector schemes: Mounting/support cooling Mounting/support cooling

30 MVD Meeting, 11/11/2003, Tobias Haas, DESY


Download ppt "F1 Contribution to ILC Vertex Detector Tobias Haas 23 Febuary 2005."

Similar presentations


Ads by Google