Zoom Presentation Registration: https://fnal.zoom.us/j/9332915404?pwd=VS9ZRTJ4ZksvQmNrOHBnajF0TzhqZz09
Using a gradient boosted decision tree, we can improve momentum track quality selection on the mu2e tracker simulation data. Using a decision tree rather than an artificial neural network halves the training time and classification time. Eventually this machine learning model will be used in production to analyze real data.
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