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A Gaussian-Sum Filter for Vertex Reconstruction
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 no...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
CERN
2004
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.5170/CERN-2005-002.415 http://cds.cern.ch/record/787487 |
Sumario: | 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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