Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data

Understand

Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors that produce high resolution images of charged particles within their sensitive volume.

• In these images, the clustering of distinct particles into superstructures is of central importance to the current and future neutrino physics program.
• Electromagnetic (EM) activity typically exhibits spatially detached fragments of varying morphology and orientation that are challenging to efficiently assemble using traditional algorithms.
• Similarly, particles that are spatially removed from each other in the detector may originate from a common interaction.