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Filter Methods In Track And Vertex Reconstruction

Author

Listed:
  • M. REGLER

    (Institut für Hochenergiephysik der ÖAW, Nikolsdorfer Gasse 18, A-1050 Wien, Austria)

  • R. FRÜHWIRTH

    (Institut für Hochenergiephysik der ÖAW, Nikolsdorfer Gasse 18, A-1050 Wien, Austria)

  • W. MITAROFF

    (Institut für Hochenergiephysik der ÖAW, Nikolsdorfer Gasse 18, A-1050 Wien, Austria)

Abstract

After a review of widely used pattern recognition methods we present the Kalman filter and the associated smoother as a recursive variant of conventional least squares estimators. We first discuss its application to the reconstruction of charged tracks, including simultaneous track finding and track fitting and a robustification of the filter. This section is concluded by a case study of track reconstruction strategy in the DELPHI experiment. The second part deals with vertex reconstruction, including the detection of outlying tracks. It is shown that the detection of secondary vertices can be further improved by a robustification of the vertex fit via theM-estimator.

Suggested Citation

  • M. Regler & R. Frühwirth & W. Mitaroff, 1996. "Filter Methods In Track And Vertex Reconstruction," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 521-542.
    • Handle: RePEc:wsi:ijmpcx:v:07:y:1996:i:04:n:s0129183196000454
    DOI: 10.1142/S0129183196000454
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