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Updated: Sep 28, 2025

Non-equilibrium Microwave Plasma for Efficient High Temperature Chemistry
Published on: August 1, 2017
Microwave techniques for electron cyclotron resonance plasma diagnostics.
David Mascali1, Eugenia Naselli1, Giuseppe Torrisi1
1INFN-Laboratori Nazionali del Sud, Via S. Sofia 62, 95123 Catania, Italy.
This review covers microwave diagnostics for electron cyclotron resonance (ECR) ion sources, highlighting INFN-LNS innovations for in-plasma analysis and future techniques like profilometry for plasma instability characterization.
Area of Science:
- Plasma Physics
- Microwave Engineering
- Ion Source Technology
Background:
- Electron Cyclotron Resonance (ECR) ion sources are crucial for various applications.
- Effective diagnostics are essential for optimizing ECR ion source performance.
- Existing diagnostic tools require enhancement for detailed in-plasma analysis.
Purpose of the Study:
- To review established and novel microwave diagnostic techniques for ECR ion sources.
- To present specific instruments developed at INFN-LNS for in-plasma measurements.
- To explore advanced numerical and experimental methods for future diagnostics.
Main Methods:
- Review of power monitors, spectral analysis, and network analyzers for microwave launching.
- Description of in-plasma diagnostic devices for absolute density and profile retrieval.
- Discussion of microwave interferometry (VESPRI) and polarimetry (Faraday rotation).
- Introduction to numerical studies on profilometry and inverse scattering methods.
Main Results:
- Demonstration of microwave interferometry for compact ECR machines.
- Application of polarimetric techniques for plasma analysis.
- Presentation of theoretical bases and initial numerical results for 1D profilometry.
- Highlighting the integration of microwave diagnostics with optical and X-ray systems.
Conclusions:
- Microwave diagnostics are vital for ECR ion source optimization and characterization.
- Novel techniques like interferometry, polarimetry, and profilometry offer advanced in-plasma analysis capabilities.
- Multidiagnostic systems and advanced signal processing (e.g., wavelet transform) are key for understanding plasma instabilities.

