Cargando…
Principal component analysis for neural electron/jet discrimination in highly segmented calorimeters
A neural electron/jet discriminator based on calorimetry is developed for the second-level trigger system of the ATLAS detector. As preprocessing of the calorimeter information, a principal component analysis is performed on each segment of the two sections (electromagnetic and hadronic) of the calo...
Autores principales: | Vassali, M R, Seixas, J M |
---|---|
Lenguaje: | eng |
Publicado: |
2001
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/536828 |
Ejemplares similares
-
A remote neural discriminator for the scintillating tile calorimeter
por: Seixas, J M, et al.
Publicado: (2000) -
Principal curves for identifying outsiders in experimental tests with calorimeters
por: Da Silva, P V M, et al.
Publicado: (2003) -
Electron-pion discrimination with a scintillating fiber calorimeter
por: Acosta, D, et al.
Publicado: (1990) -
Optimal Signal Selection for a Highly Segmented Calorimeter
por: Peralva, B S M, et al.
Publicado: (2010) -
Electron-pion discrimination with projective lead/scintillating fibers calorimeters
por: Anzivino, Giuseppina, et al.
Publicado: (1994)