Methods for processing point cloud information have seen a great success in collider physics applications.
We propose a new method for Unsupervised clustering in particle physics named UCluster, where information in the embedding space created by a neural network is used to categorise collision events into different clusters that share similar properties.
Data Analysis, Statistics and Probability High Energy Physics - Experiment
In high energy physics, graph-based implementations have the advantage of treating the input data sets in a similar way as they are collected by collider experiments.
Data Analysis, Statistics and Probability High Energy Physics - Phenomenology