Optimisation of Gyrokinetic Microstability Using Adjoint Methods

Microinstabilities drive turbulent fluctuations in inhomogeneous, magnetized plasmas. In the context of magnetic confinement fusion devices, this leads to an enhanced transport of particles, momentum, and energy, thereby degrading confinement. In this work, we elaborate on the application of the adjoint method to efficiently determine the variation of linear growth rates for plasma microstabilities concerning a general set of external parameters within the local δf-gyrokinetic model. We then offer numerical verification of this approach. When coupled with gradient-based techniques, this methodology can facilitate the optimization process for the microstability of the confined plasmas across a high-dimensional parameter space. We present a numerical demonstration wherein the ion-temperature gradient (ITG) instability growth rate in a tokamak plasma is minimized with respect to flux surface shaping parameters. The adjoint method approach demonstrates a significant computational speed-up compared to a finite-difference gradient calculation.

Publication Details

Published
2025-05-08
DOI
https://doi.org/10.52843/cassyni.tgzwjm
Primary Topic
Latin American Legal and Economic Studies
Type
article
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article

Optimisation of Gyrokinetic Microstability Using Adjoint Methods

Latin American Legal and Economic Studies
article

Optimisation of Gyrokinetic Microstability Using Adjoint Methods

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Abstract

Microinstabilities drive turbulent fluctuations in inhomogeneous, magnetized plasmas. In the context of magnetic confinement fusion devices, this leads to an enhanced transport of particles, momentum, and energy, thereby degrading confinement. In this work, we elaborate on the application of the adjoint method to efficiently determine the variation of linear growth rates for plasma microstabilities concerning a general set of external parameters within the local δf-gyrokinetic model. We then offer numerical verification of this approach. When coupled with gradient-based techniques, this methodology can facilitate the optimization process for the microstability of the confined plasmas across a high-dimensional parameter space. We present a numerical demonstration wherein the ion-temperature gradient (ITG) instability growth rate in a tokamak plasma is minimized with respect to flux surface shaping parameters. The adjoint method approach demonstrates a significant computational speed-up compared to a finite-difference gradient calculation.

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Latin American Legal and Economic Studies
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