A Gaussian-sum filter for vertex reconstruction

نویسندگان

  • T. Speer
  • R. Frühwirth
چکیده

A vertex reconstruction algorithm was developed based on the Gaussian-sum filter (GSF) and implemented in the framework of the CMS reconstruction program. While linear least-square estimators are optimal in case all observation errors are Gaussian distributed, the GSF offers a better treatment of non-Gaussian distributions of track parameter errors when these are modelled by Gaussian mixtures. In addition, this ensures better protection against outliers and offers some robustness.

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عنوان ژورنال:
  • Computer Physics Communications

دوره 174  شماره 

صفحات  -

تاریخ انتشار 2006