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Using ML techniques to discriminate the tHq(b¯b) decay channel signal from background
Machine Learning techniques are of very importance when analyzing large amounts of data as the ones acquired by the ATLAS detector. This project focus on the employment of Graph Convolutional Networks (GCN) together with the Deep Graph Library (DGL) to discriminate the signal of the production of a...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2827606 |