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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
2001
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/516497 |
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. |
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