hep-ph · 2026-10-01 · No. 130

High Energy Physics - Phenomenology, 2026-10-01.

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

01 — The papers

1 entries
  1. 01

    PINNing the pion: conformal deep learning for $F_π(s)$ and the $(g-2)_μ$ hadronic contribution

    Mayank Goel, Subhadip Mitra, Monalisa Patra

    hep-ph · cs.LG · hep-ex

    Extracting the pion electromagnetic form factor $F_π(s)$ through phenomenological curve-fitting models introduces model dependence, unphysical artefacts, and kinematic inconsistencies. We introduce a Physics-Informed Neural Network (PINN) embedded in a conformal $z$-plane that constructs $F_π(s)$ directly from first principles across spacelike and timelike domains: charge normalisation and Schwarz reflection are enforced by construction,...

    arxiv.org/abs/2609.40008 · PDF

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