Numerical near-axis expansion of weakly quasisymmetric MHS equilibria to all orders
POSTER
Abstract
We present pyAQSC, the first numerical near-axis expansion code for anisotropic QS equilibria to any order. We also present numerical correlations of the optimal truncation and divergence rate to common QS metrics. In all examined cases, the expansion diverges after the 4th order, consistent with the accuracy of scalar pressure NAE.[5] Our code explores new regions in QS configuration space by relaxing pressure isotropy. It allows the study of higher order quantities, like magnetic shear, without special parameter choices. PyAQSC supports GPU acceleration and auto differentiation. Along with a new anisotropic equilibrium solver developed for DESC, it provides an efficient tool for designing QS stellarators.
Publication: 1. Garren, D. A., & Boozer, A. H. (1991). Physics of Fluids B: Plasma Physics, 3(10), 2822–2834. https://doi.org/10.1063/1.859916<br>2. Landrema, M. & Paul, E. (2022). Physical Review Letters, 128, 035001. https://doi.org/10.1103/PhysRevLett.128.035001<br>3. Rodríguez, E., & Bhattacharjee, A. (2021a). Physics of Plasmas, 28(1), 012508. https://doi.org/10.1063/5.0027574<br>4. Rodríguez, E., & Bhattacharjee, A. (2021). Physics of Plasmas, 28(1), 012509. https://doi.org/10.1063/5.0027575<br>5. Landreman, M. (2019). Plasma Physics and Controlled Fusion, 61(7), 075001. https://doi.org/10.1088/1361-6587/ab19f6
Presenters
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Lanke Fu
Princeton University
Authors
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Lanke Fu
Princeton University
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Amitava Bhattacharjee
Princeton University
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Eduardo Rodriguez
Max Planck Institute for Plasma Physics - Greifswald, IPP Max Planck Institute - Greifswald