A fast centrality-meter for heavy-ion collisions at the CBM experiment

Understand

A new method of event characterization based on Deep Learning is presented.

• The PointNet models can be used for fast, online event-by-event impact parameter determination at the CBM experiment.
• For this study, UrQMD and the CBM detector simulation are used to generate Au+Au collision events at 10 AGeV which are then used to train and evaluate PointNet based architectures.
• The models can be trained on features like the hit position of particles in the CBM detector planes, tracks reconstructed from the hits or combinations thereof.