most citedEnd-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 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

Measurement of time-dependent violation parameters in decays at Belle and Belle II

Belle, Belle II Collaborations, : +417

We perform a measurement of time-dependent violation parameters in decays using a dataset of approximately and $521 \times 10^6…

hep-ex2026

Study of at Belle II

Belle II Collaboration, M. Abumusabh, I. Adachi +404

The bottomonium spectrum, consisting of bound states of a quark and an anti- quark, provides an excellent laboratory for probing quantum chromodynamics in the non-pertur…

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…

physics.ins-det2024★ 5 cited

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…