5 citations · 8 across the 8 of their papers we have counts for
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physics.data-an2023
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
Joosep Pata, Eric Wulff, Farouk Mokhtar +4
Efficient and accurate algorithms are necessary to reconstruct particles in the highly granular detectors anticipated at the High-Luminosity Large Hadron Collider and the Future Ci…
physics.data-an2023
Progress towards an improved particle flow algorithm at CMS with machine learning
Farouk Mokhtar, Joosep Pata, Javier Duarte +3
The particle-flow (PF) algorithm, which infers particles based on tracks and calorimeter clusters, is of central importance to event reconstruction in the CMS experiment at the CER…