Assessing the Numerical Stability of Physics Models to Equilibrium Variation through Database Comparisons
A. Rothstein, V. Ailiani, K. Krogen, A.O. Nelson, X. Sun, M.S. Kim, W. Boyes, N. Logan, Z.A. Xing, E. Kolemen

TL;DR
This study compares manual and automated methods for reconstructing tokamak equilibria, analyzing their impact on stability calculations and identifying areas of agreement and discrepancy in key parameters.
Contribution
It provides a comprehensive comparison of manual and automated equilibrium reconstruction tools, highlighting their effects on stability assessments and parameter accuracy.
Findings
Good agreement in scalar parameters between methods
Substantial disagreement in profile quantities like bootstrap current
90% of stability classifications remain consistent across methods
Abstract
High fidelity kinetic equilibria are crucial for tokamak modeling and analysis. Manual workflows for constructing kinetic equilibria are time consuming and subject to user error, motivating development of several automated equilibrium reconstruction tools to provide accurate and consistent reconstructions for downstream physics analysis. These automated tools also provide access to kinetic equilibria at large database scales, which enables the quantification of general uncertainties with sufficient statistics arising from equilibrium reconstruction techniques. In this paper, we compare a large database of DIII-D kinetic equilibria generated manually by physics experts to equilibria from the CAKE and JAKE automated kinetic reconstruction tools, assessing the impact of reconstruction method on equilibrium parameters and resulting magnetohydrodynamic (MHD) stability calculations. We find…
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Taxonomy
TopicsNeural Networks and Applications · Energy Load and Power Forecasting · Integrated Energy Systems Optimization
