3 papers
hep-ex2026
Mitigating Detector Ageing Effects with Graph-Based Multi-Modal Track Reconstruction at Belle II
Lea Reuter, Tristan Brandes, Giacomo De Pietro +1
Large backgrounds that can lead to hardware failures and the degradation of detector gain impact the track finding in the Belle II central drift chamber. These conditions lead to s…
hep-ex2026
Multi-Modal Track Reconstruction using Graph Neural Networks at Belle II
Lea Reuter, Tristan Brandes, Giacomo De Pietro +1
High backgrounds and detector ageing impact the track finding in the Belle II central drift chamber, reducing both track purity and track efficiency in events. This necessitates th…
hep-ex2024
Distilling particle knowledge for fast reconstruction at high-energy physics experiments
Aritra Bal, Tristan Brandes, Fabio Iemmi +4
Knowledge distillation is a form of model compression that allows artificial neural networks of different sizes to learn from one another. Its main application is the compactificat…