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Application of Neural Networks for Energy Reconstruction
The possibility to use Neural Networks for reconstruction ofthe energy deposited in the calorimetry system of the CMS detector is investigated. It is shown that using feed-forward neural network, good linearity, Gaussian energy distribution and good energy resolution can be achieved. Significant imp...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2000
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/S0168-9002(01)01851-4 http://cds.cern.ch/record/687287 |