Cover Image

TokEye: Fast Signal Extraction for Fluctuating Time Series via Offline Self-Supervised Learning From Fusion Diagnostics to Bioacoustics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Nathaniel, Bouchiat, Kouroche, Steiner, Peter, Rothstein, Andrew, Smith, David, Austin, Max, van Zeeland, Mike, Jalalvand, Azarakhsh, Kolemen, Egemen
Format:	Preprint
Published:	2026
Subjects:	Signal Processing Artificial Intelligence Plasma Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments
by: Rothstein, Andrew, et al.
Published: (2025)

Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas
by: Jalalvand, Azarakhsh, et al.
Published: (2024)

Regulation Compliant AI for Fusion: Real-Time Image Analysis-Based Control of Divertor Detachment in Tokamaks
by: Chen, Nathaniel, et al.
Published: (2025)

FPGA-Accelerated Real-Time Diagnostics at DIII-D Using the SLAC Neural Network Library for ML Inference
by: Dave, Abhilasha, et al.
Published: (2026)

Interpreting AI for Fusion: an application to Plasma Profile Analysis for Tearing Mode Stability
by: Farre-Kaga, Hiro J, et al.
Published: (2025)

Revisiting confinement scalings and fusion performance with a perspective optimized for extrapolation
by: Butt, Jalal, et al.
Published: (2026)

Effect of insulator end cap thickness on time-dependent Hartmann flow in a rotating mirror
by: Gaur, Rahul, et al.
Published: (2024)

Extending near-axis equilibria in DESC
by: Panici, Dario, et al.
Published: (2025)

Parallelized Real-time Physics Codes for Plasma Control on DIII-D
by: Rothstein, A., et al.
Published: (2025)

Spectrally accurate, reverse-mode differentiable bounce-averaging algorithm and its applications
by: Unalmis, Kaya E., et al.
Published: (2024)

Highest Fusion Performance without Harmful Edge Energy Bursts in Tokamak
by: Kim, SangKyeun, et al.
Published: (2024)

Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
by: Char, Ian, et al.
Published: (2024)

Deflation Techniques for Stellarator Equilibrium and Optimization
by: Panici, Dario, et al.
Published: (2026)

Combing physics-based and data-driven predictions for quantitatively accurate models that extrapolate well; with application to DIII-D, AUG, and ITER tokamak fusion reactors
by: Abbate, Joseph, et al.
Published: (2024)

Characterization of ELM Pacing via Vertical Jogs on DIII-D
by: Yasoda, Kei, et al.
Published: (2026)

Magnetic Fields with General Omnigenity
by: Dudt, Daniel W., et al.
Published: (2023)

FPGA-Accelerated Real-Time Beam Emission Spectroscopy Diagnostics at DIII-D Using the SLAC Neural Network Library for ML Inference
by: Dave, Abhilasha, et al.
Published: (2025)

High Order Free Boundary MHD Equilibria in DESC
by: Conlin, Rory, et al.
Published: (2024)

A Brief Overlook on Magnetoplasmadynamic Thrusters
by: Gover, Egemen
Published: (2024)

FreeMHD: validation and verification of the open-source, multi-domain, multi-phase solver for electrically conductive flows
by: Wynne, Brian, et al.
Published: (2024)

Stellarator Optimization with Constraints
by: Conlin, Rory, et al.
Published: (2024)

TorbeamNN: Machine learning based steering of ECH mirrors on KSTAR
by: Rothstein, Andrew, et al.
Published: (2025)

Control of pedestal-top electron density using RMP and gas puff at KSTAR
by: Kim, Minseok, et al.
Published: (2025)

Enhancement to Fusion Reactivity in Sheared Flows
by: Fetsch, Henry, et al.
Published: (2024)

Omnigenous stellarator equilibria with enhanced stability
by: Gaur, Rahul, et al.
Published: (2024)

Assessing the Numerical Stability of Physics Models to Equilibrium Variation through Database Comparisons
by: Rothstein, A., et al.
Published: (2025)

Plasma Confinement State Classification via FPP Relevant Microwave Diagnostics
by: Clark, Randall, et al.
Published: (2025)

Optimizing stellarators with hidden symmetry
by: Liu, Hengqian, et al.
Published: (2025)

Surface Current Optimization and Coil-Cutting Algorithms for Stage-Two Stellarator Optimization
by: Panici, Dario, et al.
Published: (2025)

Optimization of Nonlinear Turbulence in Stellarators
by: Kim, Patrick, et al.
Published: (2023)

The Atomic Beam Probe Synthetic Diagnostic and its Application in Fusion Plasmas
by: Aradi, Mátyás, et al.
Published: (2025)

Bootstrap Current Modeling in M3D-C1
by: Saxena, Saurabh, et al.
Published: (2025)

Plasma Confinement State Classification in Fusion Power Plants: Profile Reflectometer and Ensemble Diagnostics
by: Clark, Randall, et al.
Published: (2026)

Probing In-Solid Proton Energy Distributions in Laser-Driven Fusion via Nuclear Activation Diagnostics
by: Matsubara, Hiroki, et al.
Published: (2026)

Machine Learning Based Compton Suppression for Nuclear Fusion Plasma Diagnostics
by: Lennon, Kimberley, et al.
Published: (2023)

Opportunities in Pulsed Magnetic Fusion Energy
by: Ellison, C. Leland, et al.
Published: (2024)

Feedforward equilibrium trajectory optimization with GSPulse
by: Wai, J. T., et al.
Published: (2025)

A tutorial on inversion-based shape control with design application to NSTX-U
by: Wai, J. T., et al.
Published: (2026)

Omnigenous umbilic stellarators
by: Gaur, R., et al.
Published: (2025)

NeSST: A Python Tool for Neutron Spectra and Synthetic Diagnostics in Inertial Confinement Fusion
by: Crilly, Aidan
Published: (2026)