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.

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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

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

Pelham Keahey

Richard Partridge

SULI 2008


International linear collider ilc

International Linear Collider (ILC)

Graphic courtesy of ILC / form one visual communication


Sid detector concept design

SiD Detector Concept Design

Graphic courtesy of Norman Graf, SLAC/Sandbox Studio


Analysis program objectives

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

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

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

Pull Distributions

  • Error is different per fitted helix (track)

    • Tracks will go through different part of the detector

    • Multiple scattering

    • How many hits


Z 0 pull distribution

Z0 Pull Distribution


Purity faketrack rate

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


1 purity vs hits

(1-Purity) vs Hits


Efficiency

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


Efficiency vs theta

Efficiency vs Theta


Efficiency vs p t

Efficiency vs Pt


Wire view one rho z event 130

Wire View One (Rho-z) event # 130


Wire view two xy event 130

Wire View Two (xy) event # 130


Results

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

Future Work

  • As the detector evolves, different designs can be tested

  • Different and more complicated events can be run


Acknowledgements

Acknowledgements

  • Advisor: Richard Partridge

  • life saving help: CosminDeaconu

  • Everyone at SLAC

  • DOE


References

References

J. Alcaraz, Helicoidal tracks. L3 Internal Note 1666, February 18, 1995.

Internation Linear Collider website. http://www.linearcollider.org/cms/


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