collaborators

5 papers

physics.plasm-ph2026

Photodiode based multi-modal diagnostic for low-energy neutral beam injection in the LTX- spherical tokamak

A. Maan, Tosh Le, D. P. Boyle +8

We present a compact photodiode-based diagnostic array developed to study low-energy neutral beam injection in the LTX- spherical tokamak. The in-vacuum diagnostic combines fil…

physics.plasm-ph2026

Modeling Temperature Profiles in the Pedestal of NSTX with Reduced Models

P. -Y. Li, D. R. Hatch, L. A. Leppin +5

This paper describes new modeling capabilities for predicting H-mode pedestal profiles in spherical tokamaks. Temperature profiles for NSTX discharges 132543 and 132588 are modeled…

physics.plasm-ph2025

Turbulent Transport-Limited Pedestals in Tokamaks

J. F. Parisi, D. R. Hatch, P. Y. Li +5

H-mode operation of tokamak fusion plasmas free of dangerous Type 1 edge-localized-modes (ELMs) requires a non-ELM mechanism for saturating the edge pedestal growth. One possible m…

physics.plasm-ph2025

Prediction of ELM-free Operation in Spherical Tokamaks With High Plasma Squareness

J. F. Parisi, J. W. Berkery, K. Imada +5

We predict that high plasma squareness in spherical tokamaks (STs) could result in edge-localized-mode (ELM)-free H-mode. The effect of squareness on gyrokinetic and peeling-balloo…

physics.plasm-ph2025

HIPED: Machine Learning Framework for Spherical Tokamak Pedestal Prediction and Optimization

J. F. Parisi, J. G. Clark, J. W. Berkery +4

We introduce a Machine Learning framework, HIPED (HeIght and width Predictor for Edge Dynamics), for predicting and optimizing pedestal and core performance in spherical tokamak pl…