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Implementing an X-ray tomography method for fusion devices

A. Jardin, J. Bielecki, D. Mazon, Y. Peysson, K. Król, D. Dworak, M. Scholz

2021The European Physical Journal Plus23 citationsDOIOpen Access PDF

Abstract

Abstract In fusion devices, the X-ray plasma emissivity contains essential information on the magnetohydrodynamic activity, the magnetic equilibrium and on the transport of impurities, in particular for tokamaks in the soft X-ray (SXR) energy range of 0.1–20 keV. In this context, tomography diagnostics are a key method to estimate the local plasma emissivity from a given set of line-integrated measurements. Unfortunately, the reconstruction problem is mathematically ill-posed, due to very sparse and noisy measurements, requiring an adequate regularization procedure. The goal of this paper is to introduce, with a didactic approach, some methodology and tools to develop an X-ray tomography algorithm. Based on a simple 1D tomography problem, the Tikhonov regularization is described in detail with a study of the optimal reconstruction parameters, such as the choice of the emissivity spatial resolution and the regularization parameter. A methodology is proposed to perform an in situ sensitivity and position cross-calibration of the detectors with an iterative procedure, by using the information redundancy and data variability in a given set of reconstructed profiles. Finally, the basic steps to build a synthetic tomography diagnostics in a more realistic tokamak environment are introduced, together with some tools to assess the capabilities of the 2D tomography algorithm.

Topics & Concepts

Tikhonov regularizationEmissivityTomographyDetectorInverse problemRegularization (linguistics)TokamakAlgorithmComputer scienceIterative reconstructionPhysicsOpticsComputer visionArtificial intelligenceMathematicsPlasmaMathematical analysisQuantum mechanicsMedical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingNumerical methods in inverse problems
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