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Study of a neural approach for lower level e/g calorimeter trigger in CMS
We investigate the possibility of using Neural Network based algorithms at the lower stages of the electron/photon calorimeter trigger of CMS. The aim is to improve the background rejection obtained with currently proposed level 1 algorithms. The shower profiles are analysed in detail in the classif...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
1998
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/687046 |