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Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network
The artificial neural network approach is used here for a separation of signals from a single photon and products of pi0, eta, K^0_s meson neutral decay channels basing on the data from CMS electromagnetic calorimeter only. Rejection values for three considered types of mesons as a function of a sin...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2001
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1126-6708/2004/04/007 http://cds.cern.ch/record/516121 |
| Sumario: | The artificial neural network approach is used here for a separation of signals from a single photon and products of pi0, eta, K^0_s meson neutral decay channels basing on the data from CMS electromagnetic calorimeter only. Rejection values for three considered types of mesons as a function of a single photon selection efficiencies are obtained for two Barrel and one Endcap pseudorapidity regions and initial Et values equal to 20, 40, 60 and 100 GeV. |
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