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Finding the Right Primary Vertex Using Machine Learning
We use a binary classification neural network to find the primary vertex relating to a bottom quark decay using information on the number of tracks measured and certain input variables. Different machine learning packages were explored and models were built using XGboost, Keras and PyTorch. A final...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2826680 |