A Gaussian-sum filter for vertex reconstruction

A vertex reconstruction algorithm was developed based on the Gaussian-sum filter 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, a GSF offers a better treatment of non-Gaussian distributions of track parameter errors when these are modeled by Gaussian mixtures. Results are compared to the Kalman filter.