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Talk8 min

Accelerating ATLAS Muon Tracking with Machine Learning-Based Segment Classification

Karla Lucic · CERN

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About

**Project Description**: An attention-based graph neural network that filters muon-segment pairs before track seeding in the ATLAS Phase-II reconstruction, validated end to end in ATHENA.

**Supervisor**: Davide Di Croce, Johannes Junggeburth

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The talk

  1. Accelerating ATLAS Muon Tracking with Machine Learning-Based Segment Classification 2026-08-18 · 8 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Karla Lucic
Year
2026
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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