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

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dc.creatorBandourin, D. V.
dc.creatorSkachkov, N. B.
dc.date2001-09-02
dc.date2002-01-02
dc.date.accessioned2026-07-07T03:34:44Z
dc.date.available2026-07-07T03:34:44Z
dc.descriptionA neural network technique is used to discriminate between quark and gluon jets produced in the qg->q+photon and q q->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 we obtain signal-to-background ratios.
dc.description22 pages, uses cernrep.cls style file
dc.identifierhttps://arxiv.org/abs/hep-ex/0109001
dc.identifierhttp://arxiv.org/abs/hep-ex/0109001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/37098
dc.subjectHigh Energy Physics - Experiment
dc.titleSeparation of quark and gluon jets in the direct photon production processes at the LHC using the neural network approach
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