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Optimization of tau identification in ATLAS experiment using multivariate tools
In elementary particle physics the efficient analysis of huge amount of collected data require the use of sophisticated selection and analysis algorithms. We have implemented a Support Vector Machine (SVM) integrated with the CERN TMVA/ROOT package. SVM approach to signal and background separation i...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2007
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| Acceso en línea: | https://dx.doi.org/10.22323/1.050.0033 http://cds.cern.ch/record/1027582 |