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Neural Online Filtering Based on Preprocessed Calorimeter Data
Among LHC detectors, ATLAS aims at coping with such high event rate by designing a three-level online triggering system. The first level trigger output will be ~75 kHz. This level will mark the regions where relevant events were found. The second level will validate LVL1 decision by looking only at...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2009
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1213930 |