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Mentors: Giuseppe B. Cerati & Jeremy Hewes & Daniel Grzenda

Project Title: Exa.TrkX

Project Description: I worked on the Exa.TrkX project which presents a graph neural network (GNN) technique for low-level reconstruction of neutrino interactions in a Liquid Argon Time Projection Chamber (LArTPC). Graphs describing particle interactions are formed by treating each detector hit as a node, with vertices describing the relationships between hits. The model itself is a multihead attention message passing network which performs graph convolutions in order to label each node with a particle type.

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