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Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses

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A Finite-Difference Approach for Plasma Microwave Imaging Profilometry.

Loreto Di Donato^1,2, David Mascali², Andrea F Morabito³

¹Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, viale A. Doria 6, 95126 Catania, Italy.

Journal of Imaging

|August 30, 2021

Summary

Microwave imaging profilometry (MIP) offers volumetric plasma diagnostics, overcoming limitations of standard methods. This study presents a finite-difference frequency-domain approach for improved plasma profiling in reactors.

Keywords:

electromagnetic inverse scattering finite-difference methods microwave imaging profilometry microwave plasma diagnostics

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Area of Science:

Plasma physics and engineering
Electromagnetics
Computational physics

Background:

Plasma diagnostics are crucial for optimizing plasma reactors.
Microwave techniques like reflectometry, interferometry, and polarimetry are effective.
Microwave imaging profilometry (MIP) offers potential for volumetric plasma information.

Purpose of the Study:

To address challenges in microwave imaging profilometry (MIP) for plasma diagnostics.
To develop a method for obtaining tomographic plasma information.
To overcome limitations of standard non-invasive diagnostic approaches.

Main Methods:

Utilizing microwave diagnostics, specifically microwave imaging profilometry (MIP).
Addressing the non-linear and ill-posed inverse scattering problem inherent in MIP.
Adopting a finite-difference frequency-domain (FDFD) formulation.
Approximating magnetically confined plasma as an isotropic and weakly penetrable medium under high-frequency probing.

Main Results:

The finite-difference frequency-domain (FDFD) formulation effectively handles non-homogeneous backgrounds in plasma reactors.
The proposed approach addresses the complexities of plasma electromagnetic features dependent on frequency, angle, and polarization.
The study tackles the challenges of MIP in both large and small reactor environments.

Conclusions:

The developed FDFD formulation provides a viable method for microwave inverse profiling of plasma.
This technique enhances the capability of obtaining volumetric plasma data, crucial for reactor development.
The approach offers a pathway to overcome intrinsic limitations in plasma diagnostics.