Search Results for author:
Found 4 papers, 2 papers with code
Autoencoders for Semivisible Jet Detection
The experimental signature is characterised by the presence of reconstructed missing momentum collinear with the visible components of the jets.
Point Cloud Transformers applied to Collider Physics
Methods for processing point cloud information have seen a great success in collider physics applications.
Unsupervised clustering for collider physics
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
ABCNet: An attention-based method for particle tagging
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
