A Gaussian-Sum Filter for Vertex Reconstruction

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A vertex reconstruction algorithm that is based on the Gaussian-sum Filter (GSF) was developed 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 treatme...

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Detalles Bibliográficos
Autores principales: Speer, Thomas, Frühwirth, R
Lenguaje:eng
Publicado: 2005
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/825487
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author Speer, Thomas
Frühwirth, R
author_facet Speer, Thomas
Frühwirth, R
author_sort Speer, Thomas
collection CERN
description A vertex reconstruction algorithm that is based on the Gaussian-sum Filter (GSF) was developed 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. The algorithm has been verified and evaluated with simulated data. The results are compared to the Kalman filter and to an adaptive vertex estimator.
id cern-825487
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2005
record_format invenio
spelling cern-8254872019-09-30T06:29:59Zhttp://cds.cern.ch/record/825487engSpeer, ThomasFrühwirth, RA Gaussian-Sum Filter for Vertex ReconstructionDetectors and Experimental TechniquesA vertex reconstruction algorithm that is based on the Gaussian-sum Filter (GSF) was developed 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. The algorithm has been verified and evaluated with simulated data. The results are compared to the Kalman filter and to an adaptive vertex estimator.CMS-NOTE-2005-005oai:cds.cern.ch:8254872005-02-24
spellingShingle Detectors and Experimental Techniques
Speer, Thomas
Frühwirth, R
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 http://cds.cern.ch/record/825487
work_keys_str_mv AT speerthomas agaussiansumfilterforvertexreconstruction
AT fruhwirthr agaussiansumfilterforvertexreconstruction
AT speerthomas gaussiansumfilterforvertexreconstruction
AT fruhwirthr gaussiansumfilterforvertexreconstruction

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