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Last update: Apr 1, 2000

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A207

New Kinematic Fitting Algorithms and Lessons Learned from KWFIT

Paul Avery
 University of Florida

Presented by: Paul Avery

  I discuss new algorithms encoded in the kinematic fitting program KWFIT and some general lessons learned in applying kinematic fitting to particle physics data. Though originally written for CLEO use, KWFIT is a general standalone program.
  KWFIT encodes standard constraints involving vertexing, mass, energy, 4-momentum and back-to-back tracks. A powerful capability is its ability to build "virtual particles" from a set of daughters under a vertex constraint, taking advantage of an interesting theorem that allows well-measured tracks, poor tracks and neutrals such as pizeros and gammas to participate without biasing the resultant track parameters. I have recently added algorithms to optimally fit for lifetimes using all track and vertex information and a new algorithm that allows the lifetime of decays such as $D^0 \to K_s \pi^0$ to be determined.
  I also discuss additional information available from kinematic fitting that, although currently not used, could be used to improve signal to noise ratios. In addition, the large amount accumulated experience with KWFIT points to certain lessons about track representation, storage precision and sensitivity to failures.

Short Paper:  Adobe Acrobat pdf 



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