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Silicon Tracking for Forward Electron Identification at CDF

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Fake Rate ...In progress... In addition to the standard. techniques, we are pursuing ... At highest h, error currently dominated by charge ID ... – PowerPoint PPT presentation

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Title: Silicon Tracking for Forward Electron Identification at CDF


1
Silicon Tracking for ForwardElectron
Identificationat CDF
  • David Stuart,
  • UC Santa Barbara
  • Oct 30, 2002

2
Outline
  • Motivation and History
  • CDF Run II upgrade
  • Forward Tracking algorithm
  • Physics Prospects

3
In Run 1, CDF had tracking only in central region
4
Physics beyond h1 e.g., look at h of e in Z ?
ee-
hlt1 50 hlt2 83
but what matters is finding both e and e-
5
What is h of max h e? in Z ? ee-
hlt1 25 hlt2 70
ET gt 20 GeV
6
More central at high mass, e.g. 800 GeV/c2 Z? ?
ee-
hlt1 53 hlt2 90
7
Plug Electron ID in Run 1
  • Some plug e ID
  • Had/EM lt 0.05
  • Isolation lt 0.1
  • VTX Occupancy

8
but poor purity even in di-electron case
Two electrons with hlt1, SB 20
9
Silicon tracking coverage to higher h
10
Using forward silicon hits in Run 1
  • Stand-alone silicon pattern recognition
  • Fit for f0, d0, pT (curvature)
  • with 4 hits, lt1 dof.
  • It worked, but was limited by
  • lever arm (L2)
  • Too few hits
  • Poor curvature resolution degraded
  • impact parameter resolution
  • 4 relative increase in b-tagging for top

11
Using forward silicon hits in Run 1
  • Calorimeter-seeded tracking for electrons
  • Constrains pT and f0
  • Adds 1 d.o.f.
  • Used same pattern recognition as standard
    outside-in tracking
  • But, lever arm still too small to measure
    curvature, just an initial direction so you have
    to rely on the calorimeters position measurement.

12
eeggET event
13
eeggET event
14
Significant Improvements for Run II
ISL
SVXII
L00
SVX (Run 1)
15
Intermediate Silicon Layers for Run II 5 m2 of
silicon
16
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17
Performance goals
  • 8 layers over 30cm lever arm
  • 3x the lever arm
  • At 30 cm occupancy is low enough to attach
  • single hits with minimal ambiguity because a
  • typical jet, 10 tracks in a Dflt0.2 cone,
  • covers 1000 channels

18
Performance goals
  • 8 layers over 30cm lever arm
  • Sufficient pT resolution to
  • Determine d0
  • Determine charge
  • over a large pT
  • range

19
Performance goals
  • 8 layers over 30cm lever arm
  • Sufficient pT resolution
  • Sufficient pointing resolution
  • into COT to pick up more hits
  • lt 2 track resolution for all pT
  • hit resolution for pTgt10 GeV
  • rz view is also comparable
  • This will allow stand-alone,
  • inside-out tracking once we
  • reach design resolution.

20
Silicon Commissioning in progress
21
Alignment in progress
  • Global finished
  • Internal starting

But, even with a rough alignment we are now
tracking forward electrons with a calorimeter
seeded approach similar to the original Run 1
algorithm.
22
Forward Electron Tracking Algorithm
  • Form 2 seed tracks,
  • one of each sign,
  • from calorimeter beam spot

23
Forward Electron Tracking Algorithm
  • Form 2 seed tracks,
  • one of each sign,
  • from calorimeter beam spot
  • Project into silicon
  • and attach hits using
  • standard silicon pattern recognition

24
Forward Electron Tracking Algorithm
  • Form 2 seed tracks,
  • one of each sign,
  • from calorimeter beam spot
  • Project into silicon
  • and attach hits using
  • standard silicon pattern recognition
  • Select best c2 match

25
Plug Alignment
Align plug to COT using the subset of COT tracks
which match plug electrons just above h1. Then
align silicon to the COT.
COT
Plug
26
Plug Alignment
27
Plug Alignment
28
Performance
  • Efficiency
  • Fake Rate
  • Charge MisId

29
Performance
  • Efficiency
  • 80 in Monte Carlo
  • 30 in data due to remaining
  • commissioning effects
  • Improvements coming.

30
Performance
  • Efficiency
  • Fake Rate
  • In progress
  • In addition to the standard
  • techniques, we are pursuing
  • a silicon occupancy
  • measure.

31
Performance
  • Efficiency
  • Fake Rate
  • Charge MisId
  • Comparable to COT for hlt1
  • because of CES resolution and
  • lever arm.
  • 10 for 1lthlt2
  • Barely non-random
  • for hgt2

32
Future Improvements
  • Alignment
  • For hgt2, need full
  • silicon and PES
  • resolution to determine
  • charge.
  • Meanwhile, can improve
  • with seed covariance pulls

33
Future Improvements
  • Alignment
  • 3D hits

34
Future Improvements
  • Alignment
  • 3D hits
  • Adding COT hits
  • 1 axial layer to h1.6
  • 1 stereo layer to h2.0

35
Future Improvements
  • Alignment
  • 3D hits
  • Adding COT hits
  • Muons
  • IMU coverage to h1.5
  • fully within ISL and gt 1
  • axial COT superlayer
  • Momentum constraint becomes
  • asymmetric but still powerful.

36
Future Improvements
  • Alignment
  • 3D hits
  • Adding COT hits
  • Muons
  • Level 3 Trigger
  • Silicon outside-in tracking
  • for L3 will be ready soon.
  • CAL seeded tracking
  • is then a small, fast, addition

37
Impact on acceptance
Single electron case
Gain, hlt3 v.s. hlt1
With eff
Ideal
38
Impact on acceptance
Multi electron modes
Gain, hlt3 v.s. hlt1
With eff
Ideal
top
Z
WW
ZZ
WZ
Z? (800)
H?WW
39
Our first step was using this for tracking Z ?
ee- with both e in the plug.
40
Now measuring charge asymmetry in W ? e n
41
30 pb-1 processed so far
42
Cross-check to COT in the central
43
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44
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45
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46
Improvements beyond statistics
At highest h, error currently dominated by charge
ID Adding COT hits will significantly improve
this.
47
Conclusion
Calorimeter seeded algorithm implemented Promisin
g gains in acceptance W asymmetry despite low
luminosity
Electron ID is moving forward in Run II
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