HGPflow: extending hypergraph particle flow to collider event reconstruction
Abstract In high energy physics, the ability to reconstruct particles based on their detector signatures is essential for downstream data analyses. A particle reconstruction algorithm based on learning hypergraphs (HGPflow) has previously been explored in the context of single jets. In this paper, w...
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| Main Authors: | Nilotpal Kakati, Etienne Dreyer, Anna Ivina, Francesco Armando Di Bello, Lukas Heinrich, Marumi Kado, Eilam Gross |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
|
| Series: | European Physical Journal C: Particles and Fields |
| Online Access: | https://doi.org/10.1140/epjc/s10052-025-14443-z |
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