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

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

2001-09-02

arxiv.org/abs/hep-ex/0109001v4

Physics

High Energy Physics

High Energy Physics - Experiment

22 pages, uses cernrep.cls style file

Scientific paper

A 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.

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