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Vertex Reconstruction in CMS

Because of the high track multiplicity in the final states expected in proton collisions at the LHC experiments, novel vertex reconstruction algorithms are required. The vertex reconstruction problem can be decomposed into a pattern recognition problem ("vertex finding") and an estimation...

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Detalles Bibliográficos
Autores principales: Chabanat, E, Estre, N, D'Hondt, J, Vanlaer, P, Prokofiev, K, Speer, T, Frühwirth, R, Waltenberger, W
Lenguaje:eng
Publicado: 2003
Materias:
Acceso en línea:https://dx.doi.org/10.1016/j.nima.2005.04.050
http://cds.cern.ch/record/692742
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author Chabanat, E
Estre, N
D'Hondt, J
Vanlaer, P
Prokofiev, K
Speer, T
Frühwirth, R
Waltenberger, W
author_facet Chabanat, E
Estre, N
D'Hondt, J
Vanlaer, P
Prokofiev, K
Speer, T
Frühwirth, R
Waltenberger, W
author_sort Chabanat, E
collection CERN
description Because of the high track multiplicity in the final states expected in proton collisions at the LHC experiments, novel vertex reconstruction algorithms are required. The vertex reconstruction problem can be decomposed into a pattern recognition problem ("vertex finding") and an estimation problem ("vertex fitting"). Starting from least-square methods, ways to render the classical algorithms more robust are discussed and the statistical properties of the novel methods are shown. A whole set of different approaches for the vertex finding problem is presented and compared in relevant physics channels.
id cern-692742
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2003
record_format invenio
spelling cern-6927422019-09-30T06:29:59Zdoi:10.1016/j.nima.2005.04.050http://cds.cern.ch/record/692742engChabanat, EEstre, ND'Hondt, JVanlaer, PProkofiev, KSpeer, TFrühwirth, RWaltenberger, WVertex Reconstruction in CMSDetectors and Experimental TechniquesBecause of the high track multiplicity in the final states expected in proton collisions at the LHC experiments, novel vertex reconstruction algorithms are required. The vertex reconstruction problem can be decomposed into a pattern recognition problem ("vertex finding") and an estimation problem ("vertex fitting"). Starting from least-square methods, ways to render the classical algorithms more robust are discussed and the statistical properties of the novel methods are shown. A whole set of different approaches for the vertex finding problem is presented and compared in relevant physics channels.CMS-CR-2003-058oai:cds.cern.ch:6927422003-12-12
spellingShingle Detectors and Experimental Techniques
Chabanat, E
Estre, N
D'Hondt, J
Vanlaer, P
Prokofiev, K
Speer, T
Frühwirth, R
Waltenberger, W
Vertex Reconstruction in CMS
title Vertex Reconstruction in CMS
title_full Vertex Reconstruction in CMS
title_fullStr Vertex Reconstruction in CMS
title_full_unstemmed Vertex Reconstruction in CMS
title_short Vertex Reconstruction in CMS
title_sort vertex reconstruction in cms
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1016/j.nima.2005.04.050
http://cds.cern.ch/record/692742
work_keys_str_mv AT chabanate vertexreconstructionincms
AT estren vertexreconstructionincms
AT dhondtj vertexreconstructionincms
AT vanlaerp vertexreconstructionincms
AT prokofievk vertexreconstructionincms
AT speert vertexreconstructionincms
AT fruhwirthr vertexreconstructionincms
AT waltenbergerw vertexreconstructionincms