From the 1 of 396 linked papers with an AI index.
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Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter
I. Haide, M. Neu, Y. Unno +19
We present the development and evaluation of a real-time Graph Neural Network-based trigger module for the electromagnetic calorimeter of the Belle~II experiment at the SuperKEKB c…
Hardware-Accelerated GNN-based Hit Filtering for the Belle II Level-1 Trigger
Greta Heine, Fabio Mayer, Marc Neu +2
We present a hardware-accelerated hit filtering system employing Graph Neural Networks (GNNs) on Field-Programmable Gate Arrays (FPGAs) for the Belle II Level-1 Trigger. The GNN ex…
Development of Deep Neural Network First-Level Hardware Track Trigger for the Belle II Experiment
Y. -X. Liu, T. Koga, H. Bae +20
The Belle II experiment at the SuperKEKB accelerator is designed to explore physics beyond the Standard Model with unprecedented luminosity. As the beam intensity increased, the ex…
End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II
Lea Reuter, Giacomo De Pietro, Slavomira Stefkova +15
We present the study of an end-to-end multi-track reconstruction algorithm for the central drift chamber of the Belle II experiment at the SuperKEKB collider using Graph Neural Net…
Energetic neutron identification with pulse shape discrimination in pure CsI crystals
S. Longo, M. Khan, S. Dharani +2
Pulse shape discrimination with pure CsI scintillators is investigated as a method for separating energy deposits by energetic neutrons and photons at particle physics experiments.…
CsI(Tl) Pulse Shape Discrimination with the Belle II Electromagnetic Calorimeter as a Novel Method to Improve Particle Identification at Electron-Positron Colliders
S. Longo, J. M. Roney, C. Cecchi +15
This paper describes the implementation and performance of CsI(Tl) pulse shape discrimination for the Belle II electromagnetic calorimeter, representing the first application of Cs…