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Neural Online Filtering Based on Preprocessed Calorimeter Data
Aiming at coping with LHC high event rate, the ATLAS collaboration has been designing a sophisticated three-level online triggering system. A significant number of interesting events decays into electrons, which have to be identified from a huge background noise. This work proposes a high-efficient...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2009
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1223577 |
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