May 18 – 22, 2026
Virginia Tech
America/New_York timezone

Learning magnetic field structure from trajectories

May 20, 2026, 11:35 AM
25m
Torgersen Hall 1020 (Virginia Tech)

Torgersen Hall 1020

Virginia Tech

Minisymposium Talk Linear Algebra Foundations for Data-driven Modeling and Model Order Reduction Linear Algebra Foundations for Data-driven Modeling and Model Order Reduction

Speaker

David Bindel (Cornell University)

Description

Stellarators are non-axisymmetric magnetic field configurations used to confine plasmas. Within a stellarator, particles roughly follow magnetic field lines, and the magnetic fields in stellarators can be organized into different regions according to the dynamics of field line flows, with regions of nested flux surfaces potentially interspersed with islands or regions of chaos. While can visualize these structures with Poincare plots, such visualizations are not wholly satisfactory if we wish to numerically optimize such structures. In this talk, we describe an approach to automatically inferring the structure of magnetic field line flows by building models of the dynamics of field line trajectories. We give connections to dynamical systems theory, numerical extrapolation methods, and the theory of adaptive filtering.

Joint work with Max Ruth (UT Austin).

Author

David Bindel (Cornell University)

Presentation materials

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