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Machine learning techniques for background discrimination at the ATLAS experiment
The use of artificial neural network in discrimination between signal and background is investigated for two different processes in the ATLAS detector. For the WH signal against the WZ/Wγ∗ background the neural network shows improvement over the boosted decision trees previously used in Aad et al. [...
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| Lenguaje: | eng |
| Publicado: |
2019
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| Acceso en línea: | http://cds.cern.ch/record/2687357 |