activity
20042026
most citedA New Robust Regression Method Based on Minimization of Geodesic Distances on a Probabilistic Manifold: Application to Power Laws

12 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

physics.plasm-ph2026

Modeling of plasma transport during edge-localized mode in tokamak using a kinetic Vlasov-Poisson code

Ce Wang, Sven Van Loo, Geert Verdoolaege

A kinetic parallel transport code KOBRA based on a finite-volume method is developed to study edge localized mode (ELM) plasma transport from the mid-plane to divertor targets. The…

physics.plasm-ph2026

Revisiting confinement scalings and fusion performance with a perspective optimized for extrapolation

Jalal Butt, Geert Verdoolaege, Stanley M. Kaye +1

Recent advances in high-temperature-superconductor technology have made substantially higher toroidal magnetic fields technologically accessible, reopening the design space for com…

physics.plasm-ph2020

Edge Temperature Ring Oscillation Modulated by Turbulence Transition for Sustaining Stationary Improved Energy Confinement Plasmas

A. D. Liu, X. L. Zou, M. K. Han +33

A reproducible stationary improved confinement mode (I-mode) has been achieved recently in the Experimental Advanced Superconducting Tokamak, featuring good confinement without par…

stat.ME2015★ 12 cited

A New Robust Regression Method Based on Minimization of Geodesic Distances on a Probabilistic Manifold: Application to Power Laws

Geert Verdoolaege

In regression analysis for deriving scaling laws that occur in various scientific disciplines, usually standard regression methods have been applied, of which ordinary least square…

physics.plasm-ph2004★ 1 cited

Reconstruction of Zeff profiles at TEXTOR through Bayasian source separation

Geert Verdoolaege, Giuseppe Telesca, Guido Van Oost

The understanding of the behaviour of impurities is a critical issue in tokamak physics. The ion effective charge Zeff provides a measure for impurity concentration. On the TEXTOR…