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

D. V. Bandourin; N. B. Skachkov

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arXiv · hep-ex/0109001

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

D. V. Bandourin·N. B. Skachkov

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Abstract

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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D. V. Bandourin, N. B. Skachkov. 2002-01-02. Separation of quark and gluon jets in the direct photon production processes at the LHC using the neural network approach. https://arxiv.org/abs/hep-ex/0109001

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