Speaker
Dr
T. Speer
(UNIVERSITY OF ZURICH, SWITZERLAND)
Description
A vertex fit algorithm was developed based on the Gaussian-sum filter
(GSF) and implemented in the framework of the CMS reconstruction
program. While linear least-squares estimators are optimal in case
all observation errors are Gaussian distributed, the GSF offers a
better treatment of the non-Gaussian distribution of track parameter
errors when these are modeled by Gaussian mixtures.
In addition, when using electron tracks reconstructed with an
electron-reconstruction Gaussian-sum filter, the full mixture can be
used rather than the approximation by a single Gaussian.
Properties, results and performance of this filter with simulated
data will be shown, and compared to the Kalman filter and to robust
filters.
Primary authors
Prof.
R. Fruehwirth
(Institut für Hochenergiephysik der OAW, Vienna, Austria)
Dr
T. Speer
(UNIVERSITY OF ZURICH, SWITZERLAND)
