An edge-detection neural network combined with agglomerative pre-clustering improves cluster reconstruction accuracy in simulated CALIFA calorimeter events by about 34% relative to the standard R3B algorithm.
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Machine Learning for the Cluster Reconstruction in the CALIFA Calorimeter at R3B
An edge-detection neural network combined with agglomerative pre-clustering improves cluster reconstruction accuracy in simulated CALIFA calorimeter events by about 34% relative to the standard R3B algorithm.