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A spectroscopic electric field vector imaging diagnostic for electron cyclotron heating systems
E H Martin1, C Lau1, M W Brookman2
1Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, USA.
The Review of Scientific Instruments
|November 8, 2018
Summary
Researchers developed a new diagnostic tool to image the Electron Cyclotron (EC) wave electric field. This allows direct comparison with simulations, improving computational models for EC wave propagation and absorption.
Area of Science:
- Plasma Physics
- Wave-Particle Interactions
- Computational Electromagnetics
Background:
- Accurate computational models are crucial for understanding plasma phenomena like Electron Cyclotron (EC) wave propagation and absorption.
- Experimental validation of these 3D full-wave simulations is essential for identifying missing physics and enhancing model fidelity.
- Direct measurement of the wave electric field vector provides critical data for this validation process.
Purpose of the Study:
- To present a novel diagnostic system for imaging the Electron Cyclotron (EC) wave electric field vector.
- To enable direct experimental validation of 3D full-wave simulation codes.
- To facilitate real-time monitoring of EC waves in experimental setups.
Main Methods:
- Utilizing a diagnostic system designed for high spatial (100 μm) and temporal (100 μs) resolution.
- Acquiring filtered images of polarized spectral satellites associated with EC waves.
- Measuring the wave electric field vector experimentally.
Main Results:
- The developed diagnostic successfully images the EC wave electric field vector.
- The system provides experimental data suitable for direct comparison with 3D full-wave simulations.
- The diagnostic achieves the targeted spatial and temporal resolution.
Conclusions:
- The new diagnostic offers a high-fidelity platform for validating computational models of EC waves.
- This approach accelerates the identification of deficiencies in current simulation physics.
- The system can be employed for real-time monitoring, enhancing experimental control and understanding.
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