Separation of a single photon and products of the $π^0,η, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network

Details Separation of a single photon and products of the $π^0,η, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network Separation of a single photon and products of the $π^0,η, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network

2001-08-31

arxiv.org/abs/hep-ex/0108051v4

JHEP 0404:007,2004

Physics

High Energy Physics

High Energy Physics - Experiment

16 pages, uses cernrep.cls style file

Scientific paper

10.1088/1126-6708/2004/04/007

The artificial neural network approach is used for separation of signals from a single photon $\gamma$ and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels on the basis of the data from the CMS electromagnetic calorimeter alone. Rejection values for the three types of mesons as a function of single photon selection efficiencies are obtained for two Barrel and one Endcap pseudorapidity regions and initial $\Et$ of 20, 40, 60 and 100 GeV.

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