silicon tracking for forward electron identification at cdf
DESCRIPTION
Silicon Tracking for Forward Electron Identification at CDF. David Stuart, UC Santa Barbara Oct 30, 2002. Outline. Motivation and History CDF Run II upgrade Forward Tracking algorithm Physics Prospects. In Run 1, CDF had tracking only in central region. - PowerPoint PPT PresentationTRANSCRIPT
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Silicon Tracking for ForwardElectron Identification
at CDF
Silicon Tracking for ForwardElectron Identification
at CDFDavid Stuart,
UC Santa BarbaraOct 30, 2002
David Stuart,UC Santa Barbara
Oct 30, 2002
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OutlineOutline
•Motivation and HistoryMotivation and History
•CDF Run II upgradeCDF Run II upgrade
•Forward Tracking algorithmForward Tracking algorithm
•Physics ProspectsPhysics Prospects
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In Run 1, CDF had tracking only in central region
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Physics beyond ||=1 e.g., look at of e in Z e+e-
||<1 =50%
||<2 = 83%
…but what mattersis finding both
e+ and e-…
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What is of max e in Z e+e-
||<1 =25%
||<2 = 70%
ET > 20 GeV
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More central at high mass, e.g. 800 GeV/c2 Z e+e-
||<1 =53%
||<2 = 90%
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Some plug e ID
•Had/EM < 0.05
•Isolation < 0.1
•VTX Occupancy
Plug Electron ID in Run 1
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Two electronswith ||<1,S:B ~ 20
One electronwith ||<1 andone with ||>1,S:B ~ 1
…but poor purity even in di-electron case
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Silicon tracking coverage to higher
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Using forward silicon hits in Run 1
1. Stand-alone silicon pattern recognition• Fit for 0, d0, pT (curvature) with 4 hits, <=1 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
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Using forward silicon hits in Run 1
2. Calorimeter-seeded tracking for electrons• Constrains pT and 0
• 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 calorimeter’s position measurement.
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eeET event
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eeET event
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Significant Improvements for Run II
SVX’ (Run 1)L00SVXII
ISL
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Intermediate Silicon Layers for Run II5 m2 of silicon
Intermediate Silicon Layers for Run II5 m2 of silicon
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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 <0.2 cone, covers 1000 channels
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•8 layers over 30cm lever arm•Sufficient pT resolution to
•Determine d0
•Determine charge over a large pT range
Performance goals
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•8 layers over 30cm lever arm•Sufficient pT resolution •Sufficient pointing resolution into COT to pick up more hits
•< 2 track resolution for ~ all pT
•~ hit resolution for pT>10 GeV•rz view is also comparable
•This will allow stand-alone, inside-out tracking once we reach design resolution.
2trk
COTres
Performance goals
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Silicon Commissioning in progress
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•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.
Alignment in progress
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Forward Electron Tracking Algorithm
1. Form 2 seed tracks,
one of each sign, from calorimeter
& beam spot
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Forward Electron Tracking Algorithm
1. Form 2 seed tracks,
one of each sign, from calorimeter
& beam spot
2. Project into silicon and attach hits
using standard silicon
pattern recognition
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Forward Electron Tracking Algorithm
1. Form 2 seed tracks,
one of each sign, from calorimeter
& beam spot
2. Project into silicon and attach hits
using standard silicon
pattern recognition
3. Select best 2 match
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Plug Alignment
COTPlug
Align plug to COT using the subset of COTtracks which match plug electrons just above||=1. Then align silicon to the COT.
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Plug Alignment
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Plug Alignment
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Measured using Z -> e+e- with one “leg” in the centralto reduce background and identify charge
Performance
1. Efficiency2. Fake Rate3. Charge MisId
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Performance
1. Efficiency~80% in Monte Carlo
~30% in data due to remaining commissioning effects
Improvements coming.
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Performance
1. Efficiency2. Fake Rate
…In progress…
In addition to the standardtechniques, we are pursuinga silicon occupancy measure.
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Performance
1. Efficiency2. Fake Rate3. Charge MisId
Comparable to COT for ||<1
because of CES resolution and
lever arm.
~ 10% for 1<||<2
Barely “non-random”for ||>2
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Future Improvements
1. AlignmentFor ||>2, need fullsilicon and PESresolution to determinecharge.
Meanwhile, can improvewith seed covariance pulls
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Future Improvements
1. Alignment
2. 3D hits
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Future Improvements
1. Alignment
2. 3D hits
3. Adding COT hits1 axial layer to ||~1.61 stereo layer to ||~2.0
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Future Improvements
1. Alignment
2. 3D hits
3. Adding COT hits
4. Muons IMU coverage to ||=1.5 fully within ISL and >= 1 axial COT superlayer
Momentum constraint becomes asymmetric but still powerful.
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Future Improvements
1. Alignment
2. 3D hits
3. Adding COT hits
4. Muons
5. Level 3 Trigger
Silicon outside-in trackingfor L3 will be ready soon.CAL seeded trackingis then a small, fast, addition
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Impact on acceptance
00.20.40.60.81
1.21.41.61.82
W WH top
Single electron case
Gain
, |
|<3
v.s
. |
|<1
Ideal
Wit
h ~
eff
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Impact on acceptance
0
1
2
3
4
5
6
7
Multi electron modesG
ain
, |
|<3
v.s
. |
|<1
Ideal
Wit
h ~
eff
top WZ Z (800) HWWWWZ ZZ
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Our first step was using this for tracking Z e+e- with both e± in the plug.
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Now measuring charge asymmetry in W ± e ±
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~30 pb-1 processed so far
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Cross-check to COT in the central
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Improvements beyond statisticsAt highest , error currently dominated by charge IDAdding COT hits will significantly improve this.
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Conclusion
Calorimeter seeded algorithm implemented
Promising gains in acceptance
W asymmetry despite low luminosity
Electron ID is moving forward in Run II