1.3k citations · 10.5k across the 138 of their papers we have counts for
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Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
William Sutcliffe, Marta Calvi, Simone Capelli +5
The growing luminosity frontier at the Large Hadron Collider is challenging the reconstruction and analysis of particle collision events. Increased particle multiplicities are stra…
FunTuple: A new N-tuple component for offline data processing at the LHCb experiment
Abhijit Mathad, Martina Ferrillo, Sacha Barré +5
The offline software framework of the LHCb experiment has undergone a significant overhaul to tackle the data processing challenges that will arise in the upcoming Run 3 and Run 4…
Efficient description of experimental effects in amplitude analyses
Abhijit Mathad, Daniel O'Hanlon, Anton Poluektov +1
Amplitude analysis is a powerful technique to study hadron decays. A significant complication in these analyses is the treatment of instrumental effects, such as background and sel…