Speaker
Bingzhi Li
(Zhejiang Lab 之江实验室)
Description
In the Muon g-2 experiment, the tracking reconstruction is a key component of the data reconstruction and analysis, it provides essential beam dynamics parameters and muon weighting parameters and determines the precision of muon EDM measurements. This presentation introduces the GNN-based tracking reconstruction method. Leveraging message-passing mechanisms and the Louvain algorithm, the GNN method efficiently identifies tracks. The GNN-based vertex fitting also shows promising results.
Primary author
Bingzhi Li
(Zhejiang Lab 之江实验室)
