PPT Slide

• Kalman Filtering was invented by Rudolf E. Kalman in 1960

  • It was mostly used originally in radar tracking of space crafts
  • Since then it has found many different applications
    • Particle tracking in a detector
    • Computer vision
    • Analysis of financial data

• Kalman filtering deals with the analysis of linear dynamic systems

  • The track of a space craft (propagating in time)
  • A particle track in a detector (propagating in space)

• Most of the HEP projects adopted Kalman filtering for tracking and pattern recognition purposes

  • ALEPH, ZEUS, DELPHI, NOMAD, CLEO, ATLAS.
  • The application of Kalman filtering to tracking is fairly recent (late 1980’s)

• We need to establish whether Kalman filtering is the right method to use for E614

  • This requires several tests that are currently underway
    • energy, angle and magnetic field
    • spacing between detector layers

R. E. Kalman

University of Florida

D.Sc. Columbia Univ. 1957

Mathematical system theory

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