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New density profile reconstruction methods in X-mode reflectometry.

R B Morales1, S Hacquin2, S Heuraux1

  • 1IJL, University of Lorraine, UMR 7198 CNRS, 54506 Vandoeuvre, France.

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|May 1, 2017
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Summary
This summary is machine-generated.

This study enhances plasma density profile reconstruction for X-mode reflectometry by introducing complex functions, improving accuracy and enabling real-time monitoring. The new method offers greater stability and efficiency for analyzing plasma dynamics.

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Area of Science:

  • Plasma physics
  • Fusion energy research
  • Diagnostic techniques

Background:

  • The Bottollier-Curtet and Ichtchenko method (1987) is the established standard for X-mode reflectometry density profile reconstruction.
  • Minor revisions have been made to the standard method since its inception.

Purpose of the Study:

  • To improve the accuracy and stability of plasma density profile reconstruction.
  • To explore the use of more complex functions beyond linear approximations for refractive index shape description.
  • To enable faster, real-time monitoring of plasma density evolution.

Main Methods:

  • Evaluation of parabolic and fixed/adaptive fractional power functions for refractive index shape.
  • Comparison of stability and accuracy against the standard linear method.
  • Testing against spurious events and phase noise.
  • Development of a relation between plasma parameters and optimal integration shapes.

Main Results:

  • Complex functions demonstrate improved stability and accuracy compared to the linear method.
  • The method is robust against spurious events and phase noise.
  • Optimization of reconstruction for diverse plasma profiles is achieved.
  • Density profiles can be reconstructed with fewer probing frequencies without compromising accuracy.

Conclusions:

  • The enhanced reconstruction method offers superior accuracy and stability for X-mode reflectometry.
  • The ability to use fewer frequencies speeds up the algorithm, facilitating real-time plasma monitoring.
  • This advancement is crucial for understanding and controlling dynamic plasma behaviors in fusion devices.