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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...
Autores principales: | , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2003
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2005.04.050 http://cds.cern.ch/record/692742 |
_version_ | 1780902134300016640 |
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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 |