Search Results for author: Lukas Ehrke

Found 1 papers, 1 papers with code

Topological Reconstruction of Particle Physics Processes using Graph Neural Networks

1 code implementation24 Mar 2023 Lukas Ehrke, John Andrew Raine, Knut Zoch, Manuel Guth, Tobias Golling

We present a new approach, the Topograph, which reconstructs underlying physics processes, including the intermediary particles, by leveraging underlying priors from the nature of particle physics decays and the flexibility of message passing graph neural networks.

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