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Characterizing plasma with emission tomography-Feasibility study on synthetic and experimental data.

M Nikolić1, A Samolov2, A Godunov3

  • 1Department of Physics and Astronomy, University of San Francisco, San Francisco, California 94117, USA.

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Summary

We evaluated tomographic algorithms for plasma reconstruction, finding Abel inversion suits symmetric systems, two-angle approach handles slight asymmetry, and 2D tomography is best for asymmetric plasmas. Total variation minimization effectively reduced noise.

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Area of Science:

  • Plasma physics
  • Tomography
  • Image reconstruction

Background:

  • Tomographic reconstruction is an ill-posed problem due to limited projection data, viewing angles, and noise.
  • Plasma diagnostics often require accurate spatial distribution of parameters.

Purpose of the Study:

  • To assess the feasibility of different tomographic algorithms for plasma reconstruction.
  • To identify suitable algorithms for symmetric, asymmetric, and complex plasma systems.
  • To evaluate noise reduction techniques for improved image quality.

Main Methods:

  • Investigated single-angle Abel inversion, two-angle approach, and multiple-angle 2D plasma tomography.
  • Tested algorithms on simulated symmetric/asymmetric functions and experimental microwave argon plasma data.
  • Applied smoothing techniques and total variation minimization for noise reduction.
  • Assessed image quality using peak signal-to-noise ratio and universal image quality measures.

Main Results:

  • Abel inversion is suitable only for radially symmetric systems.
  • The two-angle approach can reconstruct systems with slight asymmetry.
  • Full 2D tomography is necessary for systems lacking symmetry.
  • Filtered back projection and simultaneous algebraic reconstruction technique yielded best reconstruction results.
  • Total variation minimization proved most effective for denoising.

Conclusions:

  • Algorithm choice depends critically on plasma symmetry.
  • 2D tomography is essential for accurately characterizing asymmetric plasmas.
  • Effective noise reduction is crucial for reliable plasma image reconstruction.