HIGHLIGHTS
- who: Hewes Jeremy et al. from the University of Cincinnati, Cincinnati, OH, USA have published the article: Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers, in the Journal: (JOURNAL)
- what: As discussed in Sec 2.1, a simple region of interest based constraint is used in the work , although more sophisticated techniques are in development.
- how: This paper presents a graph neural network (GNN) technique for low-level reconstruction of neutrino interactions in a Liquid Argon Time Projection Chamber (LArTPC). In this paper a multihead attention message passing network . . .
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