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Summary STS working group

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R&D on monolithic (MAPS, amorphous Si) and. ultra-thin hybrid (Giga-tracker) sensors. ... Smart Detector Reticle. Band Height of non-sensitive part. B2. Sensitive part ... – PowerPoint PPT presentation

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Title: Summary STS working group


1
Summary STS working group
  • Design optimization
  • STS (Strip) layout
  • RD (MAPS)
  • Working packages

2
Manpower
  • STS activities momentarily not backed by EU
    funding
  • FP6 I3 (SOSDET)
  • RD on monolithic (MAPS, amorphous Si)
    andultra-thin hybrid (Giga-tracker) sensors.
  • not funded in favor of diamond ? standard
    technologically!!
  • FP6 Design close call
  • STS foreseen for second round (i.e. 2005)
  • now cancelled in favor of proposals from first
    round
  • Total manpower in STS project of O(1 FTE)

3
Generic simulation
  • Design as of now
  • 7 stations at 5,10,20,40,60,80,100 cm from target
  • 100 mm (1,2) and 200 mm (3-7) thick
  • 10, 20 mm resolution in both coordinates
  • Needed for proposal
  • Simulation including pad, strip structure
  • Optimized configuration

4
Design optimization
STS group
Tracking groups
Mainframe
Algorithms
Digitizers
MAPS Michaels talk
Design Optimization
Strip Tatianas talkValery
Final configuration
5
Si strip STS_4 Layout
20 cm
Valery Savielev, Obninsk State Univ.
-20 cm
Read out
6
Si strip STS_6 Layout
40 cm
Valery Savielev, Obninsk State Univ.
4cm
- 4cm
-40 cm
Read out
7
Digitization result
Tatiana Galatyuk, GSI/Kiev
3-d STS
5-th STS
4-th STS
number of hits
7-th STS
6-th STS
number of zone
8
RD
  • MAPS IReS, LEPSI, (GSI)
  • radiation tolerance
  • readout speed
  • Driven by common interest between NLC and CBM
    community
  • Strip detectors MEPHI, MSU
  • Thin double-sided sensors
  • Read-out (FEE) chip
  • no activity yet due to missing funding

9
Successor1 before and after 1MRad X-Rays
Observations (Priliminary) No significant
influence on gain
T -15C t 200µs
Charge collected in 1 pixel ADC
No significant charge loss
Michael Deveaux, GSI/IReS
Charge collected in 9 pixels ADC
CBM collaboration meeting, GSI Darmstadt, 6-8 Oct
2004, Michael Deveaux (michael.deveaux_at_ires.in2p3
.fr)
10
Smart Detector Reticle
Matrix of Pixel
Band Height of sensitive part
Sensitive part
B1
Control ELN
ADC
Sparcification
Memori-sation
Band Height of non-sensitive part
Control and processing part
B2
  • Control and address Electronics
  • Fast signal processing and data sparsification ?
    Signal digitalisation
  • Storage threshold values needed during data
    sparsification
  • Surface ratio (B2/B1) must be as small as
    possible

Hayet Kebbati, GSI/IReS
11
Towards a Design Proposal
12
The end ...
13
Choice of technology
  • Availability
  • Minimize own development effort (manpower)
  • LHC silicon trackers needed 800 man years RD
  • Conservative fall-back solutions for future
    technology options

14
Problems / Open questions
  • Material budget
  • increase to balance position resolution!
  • identification of conversion electrons
  • Efficiency?
  • Realistic simulation for track fragment
    reconstruction
  • Efficiency
  • Fake rate
  • Magnetic field
  • Close pair recognition in the inner tracking
    section
  • Efficiency?
  • d-electrons
  • Vertex reconstruction
  • fast station needed in vacuum?

15
Oleg Rogachevski, conformal mapping
  • 5,10,20,40,60,80,100 cm, 3 first stations in
    vacuum, 100 mm (1-2) and 200 mm (3-7) thickness.
  • no delta electrons
  • Hit multiplicity for secondaries peaks at 1-2
    hits, 40 of the hits in the first two stations
    have no other hits and cannot be reconstructed
  • Efficiency drops from 0.95 to 0.7 below 10 GeV,
    efficiency gt 95 if 7 hits are observed.
  • Matching with inner track segments, which are
    incomplete, problematic!!!

16
Sascha Ierusalimov, STS track fitting
  • Generic simulation
  • Uniform field used
  • 100 mm thickness throughout, 20 mm resolution
  • best resolution between 1 and 10 GeV 0.7 1
    if all hits are present.
  • Vertex reconstruction
  • small systematic shifts lt 1 mm
  • s 16-21 mm
  • Results from realistic simulation (GEANT-3)
  • Problems
  • broken tracks
  • 2-hit tracks?
  • close tracks?

17
G. Osakov, track reconstruction a la LIT
  • Old geometry used
  • on average 1.62 ghost tracks
  • efficiency around 80-90 only

18
Pavel Akishin, Polynominal approximation
  • Best resolution reached in this approach. 0.4

19
Pavel Zrelov, Kalman filtering
  • 2-dimensional projection
  • Very precise starting points needed
  • 20 mm resolution assumed
  • Parabola used as track model between the detector
    stations 5-7

20
Joachim Gläß, Fast tracking
  • Fast Hough transform used
  • Efficiency only above 1 GeV (cut)
  • e amounts to 0.95
  • Large ghost rate
  • Needed clock cycle 150 MHz
  • Total number of processing units 200
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