Si-Jun Xu

most citedLearning Physics at Future

e^{-} e^{+}

Colliders with Machine

8 citations · 8 across the 2 of their papers we have counts for

collaborators

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hep-ph2020

Jet Topology

Lingfeng Li, Tao Liu, Si-Jun Xu

We introduce persistent Betti numbers to characterize topological structure of jets. These topological invariants measure multiplicity and connectivity of jet branches at a given s…

hep-ph2020★ 8 cited

Learning Physics at Future $e^{-} e^{+}$ Colliders with Machine

Lingfeng Li, Ying-Ying Li, Tao Liu +1

Information deformation and loss in jet clustering are one of the major limitations for precisely measuring hadronic events at future $e^{-} e^{+}$ colliders. Because of their dominance…

Jet Topology

Learning Physics at Future e−e+ Colliders with Machine

Learning Physics at Future $e^{-} e^{+}$ Colliders with Machine