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An online neural network triggering system for the Tile Calorimeter
For the hadronic calorimeter of ATLAS, TileCal, neural processing is used to establish an efficient methodology for the online particle identification in beam tests of calorimeter prototypes. Although beam purity is usually very good for a selected particle type, background from wrong-type particles...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2002
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1109/TNS.2002.1003739 http://cds.cern.ch/record/588647 |