17–24 Jul 2024
Prague
Europe/Prague timezone

Revealing Connections in QCD with Machine Learning

19 Jul 2024, 19:00
2h
Foyer Floor 2

Foyer Floor 2

Poster 14. Computing, AI and Data Handling Poster Session 2

Speaker

Patrick Connor (University Hamburg (DE))

Description

This work utilizes text analysis techniques to uncover connections and trends in quantum chromodynamics (QCD) research over time. Through embedding-based analysis, we are able to draw conceptual connections between disparate works across QCD subfields. Examining topic clustering and trajectories over time provides insights into new phenomena gaining momentum and experimental approaches coming to prominence in the QCD research area. Furthermore, we construct citation graphs between influential papers to reveal impactful contributions and relationships, compare them with respect to their topic, and propose intertopical and citation-related recommendations.

Alternate track 15. Education and Outreach
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Authors

Antonin Sulc (DESY) Patrick Connor (University Hamburg (DE))

Presentation materials