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
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