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The BaBar Track Fitting Algorithm

David Brown1, Doug Roberts2, Eric Charles3
  1. Lawrence Berkeley National Laboratory
  2. University of Maryland
  3. University of Wisconsin, Madison

Speaker: David Brown

  We will present an update on the Kalman filter track fitting algorithm used by BaBar, which was first presented at CHEP 97. The basic design of this algorithm, which maps occurrences along a particle trajectory (hits, material interactions, ...) to C++ objects, will be reviewed. We will describe our experience commissioning and running this track fitter on the data produced in the BaBar engineering run (with around 1.5 fb^-1 of integrated luminosity and over 100 million tracks recorded). We will present preliminary results on its performance. We will also describe extensions to this algorithm by which it is now used as a pattern recognition tool and a detector alignment tool in BaBar.

Presentation:  PowerPoint Long Paper:  Adobe Acrobat pdf 

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