Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set Transformer

Keyphrases

• Graph Network 100%
• Transformer 100%
• Trigger Detection 100%
• Nuclear Physics 66%
• Event Detection 33%
• Brookhaven National Laboratory 33%
• Graph Neural Network 33%
• Model Driven Architecture 33%
• World Scale 33%
• Silicon Detectors 33%
• Proton Beam 33%
• Attention Mechanism 33%
• Relativistic Heavy Ion Collider 33%
• High Energy Physics Experiments 33%
• Transverse Momentum 33%
• Intermediate Features 33%
• Binary Classification 33%
• Bipartite Graph 33%
• Offline Data 33%
• Geometric Information 33%
• Training Experiment 33%
• Acquisition Efficiency 33%
• Charm Quark 33%
• Early Universe 33%
• Beauty Quarks 33%
• AUC Score 33%

Physics

• Physics 100%
• Nuclear Physics 100%
• Heavy Ion 50%
• Neural Network 50%
• Data Acquisition 50%
• Proton Beams 50%
• Transverse Momentum 50%
• Particle Physics 50%
• Early Universe 50%