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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
Descripción
Sumario: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.