hep-ex · 2026-06-15 · No. 24

High Energy Physics - Experiment, 2026-06-15.

1 new papers in hep-ex. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Machine-learned particle flow as a foundation model for collider physics

    Farouk Mokhtar, Joosep Pata, Michael Kagan, Javier Duarte

    hep-ex · cs.LG · hep-ph · physics.data-an · physics.ins-det

    The workflow from particle collision to physics analysis passes through a series of reconstruction steps that are traditionally modular and disconnected, with no shared representation linking low-level detector data to high-level analysis tasks. We show that casting event reconstruction as a machine learning problem naturally produces such a shared representation. We repurpose a machine learning model trained for particle-flow reconstruction...

    arxiv.org/abs/2606.14373 · PDF

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