Tracking and Fitting

11/17/99


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Table of Contents

Tracking and Fitting

Outline

What Exactly IS Tracking?

BaBar Silicon Vertex Detector

Main Goal of the Vertex Detector

Tracks in SVT and DCH

Why 5 layers?

BaBar Drift Chamber

Particle in a Uniform B-field

Track Finding in the SVT

Pattern recognition

Track Fitting in the SVT

Track Fitting in the SVT (cont.)

Track Finding in the DCH

Stereo/Axial Layers in the DCH

BaBar DCH Track Finders

Combining SVT and DCH Tracks

An Alternative Approach

What Defines This Window?

What about the SVT?

Momentum Resolution in the DCH

The more measurements the better?

Track Parameter Resolution

Least Square Track Fitting: an Example

Some General Considerations

Fitting to a line

Generalization

Problems With This Approach

The Solution: Kalman Filtering

Kalman Filter

Kalman Filter (cont.)

Track Parameter Resolutions

Track Parameter Resolution (cont.)

Multiple Scattering

Multiple Scattering in Track Fitting

Correlations

Energy Loss

Energy Loss in Track Fitting

Residuals

Pulls

Kinematic Fitting

Lagrange Multiplier Method

Vertexing

Conclusion

Author: natalia

Email: natalia@slac.stanford.edu

Home Page: http://www.hep.ucsb.edu/people/natalia/natalia.html