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An image filtering technique for SPIDER visible tomography.

N Fonnesu1, M Agostini1, M Brombin1

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This summary is machine-generated.

A new diagnostic tool for the SPIDER facility (negative ion source for ITER) uses filtering to improve beam density measurements. This method reduces instrumental noise, enhancing the accuracy of the two-dimensional particle density distribution.

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Area of Science:

  • Plasma physics
  • Fusion energy research
  • Diagnostic techniques

Background:

  • The SPIDER facility is developing a prototype negative ion source for the ITER neutral beam injector.
  • Accurate characterization of the generated beam's particle density is crucial for fusion energy research.
  • Existing diagnostic methods face challenges with instrumental noise affecting resolution.

Purpose of the Study:

  • To develop and implement a tomographic diagnostic for characterizing the 2D particle density distribution of the SPIDER beam.
  • To investigate the impact of instrumental noise on diagnostic resolution.
  • To adapt and apply a filtering technique to mitigate noise and improve beam pattern reconstruction.

Main Methods:

  • Development of a tomographic diagnostic system for the SPIDER facility.
  • Utilizing simulation to analyze the influence of instrumental noise on diagnostic resolution.
  • Adapting and implementing a filtering technique within the tomography code.
  • Applying the filtering technique to simulated tomographic reconstructions of the SPIDER beam.

Main Results:

  • Simulations demonstrated that instrumental noise significantly impacts the achievable resolution of the diagnostic.
  • A filtering technique was successfully adapted and implemented to reduce the effect of noise.
  • The filtering technique improved the accuracy of the simulated tomographic reconstruction of the SPIDER beam.

Conclusions:

  • The developed tomographic diagnostic, enhanced with a filtering technique, is effective in characterizing the SPIDER beam's 2D particle density distribution.
  • Noise reduction is critical for achieving high-resolution beam pattern reconstruction.
  • This work contributes to the development of advanced diagnostics for fusion energy applications.