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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 |
_version_ | 1780904429850984448 |
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author | Frühwirth, R Speer, T |
author_facet | Frühwirth, R Speer, T |
author_sort | Frühwirth, R |
collection | CERN |
description | 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. |
id | cern-787487 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2004 |
publisher | CERN |
record_format | invenio |
spelling | cern-7874872019-09-30T06:29:59Zdoi:10.5170/CERN-2005-002.415http://cds.cern.ch/record/787487engFrühwirth, RSpeer, TA Gaussian-Sum Filter for Vertex ReconstructionDetectors and Experimental TechniquesA 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.CERNCMS-CR-2004-052oai:cds.cern.ch:7874872004-11-23 |
spellingShingle | Detectors and Experimental Techniques Frühwirth, R Speer, T A Gaussian-Sum Filter for Vertex Reconstruction |
title | A Gaussian-Sum Filter for Vertex Reconstruction |
title_full | A Gaussian-Sum Filter for Vertex Reconstruction |
title_fullStr | A Gaussian-Sum Filter for Vertex Reconstruction |
title_full_unstemmed | A Gaussian-Sum Filter for Vertex Reconstruction |
title_short | A Gaussian-Sum Filter for Vertex Reconstruction |
title_sort | gaussian-sum filter for vertex reconstruction |
topic | Detectors and Experimental Techniques |
url | https://dx.doi.org/10.5170/CERN-2005-002.415 http://cds.cern.ch/record/787487 |
work_keys_str_mv | AT fruhwirthr agaussiansumfilterforvertexreconstruction AT speert agaussiansumfilterforvertexreconstruction AT fruhwirthr gaussiansumfilterforvertexreconstruction AT speert gaussiansumfilterforvertexreconstruction |