Classification of the hadronic decays of the Z0 into B and C quark pairs using a neural network
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Classification of the hadronic decays of the Z0 into B and C quark pairs using a neural network

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Classification of the hadronic decays of the Z0 into B and C quark pairs using a neural network

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DELPHI Collaboration; Allen, Paul; Castillo Giménez, María Victoria Perfil; Chrin, J. T. M.; Cortina Gil, Eduardo; Fez Laso, M. D. M. de; Ferrer Soria, Antonio Perfil; Fuster Verdú, Juan A. Perfil; García García, Carmen Perfil; Gómez Cadenas, Juan José Perfil; Hernández Rey, Juan José Perfil; Higón Rodríguez, Emilio Perfil; Lozano Bahilo, José Julio; Lacasta Llácer, Carlos; Martí García, Salvador; Salt Cairols, José Perfil; Valls Ferrer, Juan Antonio; Zúñiga Román, Juan
This document is a artículoDate1992

Este documento está disponible también en : http://hdl.handle.net/10550/53854
A classifier based on a feed-forward neural network has been used for separating a sample of about 123 500 selected hadronic decays of the Z 0 , collected by DELPHI during 1991, into three classes according to the flavour of the original quark pair: u u +d d +s s (unresolved), c c and b b . The classification has been used to compute the partial widths of the Z 0 into b and c quark pairs. This gave Γ c c /Γ h = 0.151 ± 0.008 ( stat. ) ± 0.041 ( syst. ) , Γ b b /Γ h = 0.232±0.005 ( stat. )±0.017 ( syst. ) .

    DELPHI Collaboration Allen, Paul Castillo Giménez, María Victoria Chrin, J. T. M. Cortina Gil, Eduardo Fez Laso, M. D. M. de Ferrer Soria, Antonio Fuster Verdú, Juan A. García García, Carmen Gómez Cadenas, Juan José Hernández Rey, Juan José Higón Rodríguez, Emilio Lozano Bahilo, José Julio Lacasta Llácer, Carlos Martí García, Salvador Salt Cairols, José Valls Ferrer, Juan Antonio Zúñiga Román, Juan 1992 Classification of the hadronic decays of the Z0 into B and C quark pairs using a neural network Physics Letters B 295 3-4 383 395
http://dx.doi.org/10.1016/0370-2693(92)91580-3
distribuido bajo licencia Creative Commons de Reconocimiento-NoComercial 3.0 No adaptada

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