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Direct Photon Identification with Artificial Neural Network in the Photon Spectrometer PHOS
A neural network method is developed to discriminate direct photons from the neutral pion background in the PHOS spectrometer of the ALICE experiment at the LHC collider. The neural net has been trained to distinguish different classes of events by analyzing the energy-profile tensor of a cluster in...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2004
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/801045 |