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Separation of quark and gluon jets using neural network approach in the processes with the direct photon production at the LHC

A neural network technique is used here to discriminate between quark and gluon jets produced in the qg-> q+photon and qq-> g+photon processes at the LHC. Considering the network as a trigger and using the PYTHIA event generator and the full event fast simulation package for the CMS detector C...

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Detalles Bibliográficos
Autores principales: Bandurin, D.V., Skachkov, N.B.
Lenguaje:eng
Publicado: 2001
Materias:
Acceso en línea:http://cds.cern.ch/record/516497
Descripción
Sumario:A neural network technique is used here to discriminate between quark and gluon jets produced in the qg-> q+photon and qq-> g+photon processes at the LHC. Considering the network as a trigger and using the PYTHIA event generator and the full event fast simulation package for the CMS detector CMSJET the signal to background ratios are obtained.