Cargando…
A Neural Network Approach to Muon Triggering in ATLAS
The extremely high rate of events that will be produced in the future Large Hadron Collider requires the triggering mechanism to make precise decisions in a few nano-seconds. This poses a complicated inverse problem, arising from the inhomogeneous nature of the magnetic fields in ATLAS. This thesis...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
Tel-Aviv Univ.
2007
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1024579 |