Computational and Analytical Optimization of Helicon Antennas with a Fast Full Wave Solver Exploiting Azimuthal Fourier Decomposition
Marcel Granetzny, Oliver Schmitz

TL;DR
This paper introduces a fast, efficient computational method using azimuthal Fourier decomposition to optimize helicon antenna design for plasma generation, enabling rapid analysis of multiple configurations and revealing optimal antenna lengths for specific plasma densities.
Contribution
The authors develop a novel 3D wavefield calculation method from 2D simulations, significantly reducing computational costs in helicon antenna optimization.
Findings
Identified an optimal antenna length dependent on plasma density.
Developed an analytical expression for power coupling optimization.
Demonstrated the method's effectiveness in various plasma density scenarios.
Abstract
Plasma wakefield accelerators (PWA), such as AWAKE, require homogenous high-density plasmas. The Madison AWAKE Prototype (MAP) has been built to create a uniform argon plasma in the density range using helicon waves. Computational optimization of MAP plasmas requires calculating the helicon wavefields and power deposition. This task is computationally expensive due to the geometry of high-performance half-helical antennas and the small wavelengths involved. We show here for the first time how the 3D wavefields can be accurately calculated from a small number of 2D-axisymmetric simulations. Our approach exploits an azimuthal Fourier decomposition of the non-axisymmetric antenna currents to massively reduce computational cost and is implemented in the Comsol finite-element framework. This new tool allows us to calculate the power deposition profiles for 800…
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Taxonomy
TopicsMicrowave Engineering and Waveguides · Advanced Antenna and Metasurface Technologies · Antenna Design and Analysis
