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# Silicon Detector Design Study Tracking Analysis Program for the International Linear Collider PowerPoint PPT Presentation

Silicon Detector Design Study Tracking Analysis Program for the International Linear Collider. Pelham Keahey Richard Partridge SULI 2008. International Linear Collider (ILC). Graphic courtesy of ILC / form one visual communication. SiD Detector Concept Design.

Silicon Detector Design Study Tracking Analysis Program for the International Linear Collider

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### Silicon Detector Design Study Tracking Analysis Program for the International Linear Collider

Pelham Keahey

Richard Partridge

SULI 2008

### International Linear Collider (ILC)

Graphic courtesy of ILC / form one visual communication

### SiD Detector Concept Design

Graphic courtesy of Norman Graf, SLAC/Sandbox Studio

### Analysis Program Objectives

• Develop a program(s) to:

• Display and analyze pull distributions of five helix parameters

• Track purity and the fake track rate

• Track finding Efficiency

### Helix Parameters

• ω - curvature of the track

• δ -distance of closest approach (dca)

• Ф0 -azimuthmal angle of the momentum at the dca

• tan λ-dz/ds, slope in the sz plane

• z0 -z position at the dca

### Helix Parameter Calculations

• ω

• δ

xc= x + R sin f

yc= y - R cosf

δ = R - (xc2+ yc2)1/2

• Ф0

• tan λ

tan λ =pz / (px2 + py2)1/2

• z0

z = z0 + s tanl

### Pull Distributions

• Error is different per fitted helix (track)

• Tracks will go through different part of the detector

• Multiple scattering

• How many hits

### Purity—FakeTrack Rate

• Purity is taking the hits used to create a track and determining how many of those hits are actually from the MCParticle’s path being fitted

• For the Z0 events the tracking program produced no fake tracks. Fake Tracks are defined as having a purity less than 0.5

### Efficiency

• Efficiency is calculated by taking the number of found tracks divided by the number of tracks that could have been found

• The simulation is currently setup to ignore certain particles

• Pt<1.1 GeV (particle that doesn’t enter the calorimeter)

• Also if z0 > 9 mm and a δ > 9 mm

• 7 hits minimum

### Results

• Purity: Tracks can be expected to be pure around 96.4+-0.2% of the time, depending on event.

• In the Z0 we found no tracks below the 0.5 purity margin.

• Efficiency: During the same event 98.6±0.1% of the findable tracks were found.

### Future Work

• As the detector evolves, different designs can be tested

• Different and more complicated events can be run