Reconstruction of soft x-ray emission in MAST Upgrade
B A Steward1, M Cecconello1, C Bowman2
1Durham University, Department of Physics, Durham DH1 3LE, United Kingdom.
Accurate measurement of magnetic instabilities in fusion reactors is vital. Soft X-ray tomography, enhanced by intersecting lines of sight, significantly improves the reconstruction of these instabilities, aiding fusion performance.
Area of Science:
- Plasma Physics
- Fusion Energy Research
- Magnetohydrodynamics
Background:
- Fast ion confinement is critical for fusion reactor operation, impacting plasma heating and current drive.
- Interactions between fast ions and magnetohydrodynamic (MHD) instabilities degrade fusion performance.
- Accurate spatial measurements of MHD instabilities are needed to constrain numerical models.
Purpose of the Study:
- To investigate the effectiveness of Soft X-ray (SXR) tomography for reconstructing MHD instabilities.
- To evaluate different tomographic reconstruction models using synthetic SXR emissions.
- To assess the impact of additional intersecting lines of sight on reconstruction accuracy.
Main Methods:
- Utilized synthetic SXR emissions generated from TRANSP/NUBEAM simulations on the Mega Ampere Spherical Tokamak Upgrade (MAST-U) device.
- Employed SXR tomography, a technique reconstructing 2D SXR emissivity profiles from line-integrated measurements.
- Compared various tomographic reconstruction models and analyzed the effect of adding intersecting SXR lines of sight.
Main Results:
- SXR tomography successfully reconstructed the 2D profile of SXR emissivity, revealing the spatial structure of instabilities.
- The addition of two extra fans of intersecting SXR lines of sight significantly enhanced the accuracy of the tomographic reconstructions.
- Different tomographic reconstruction models showed varying performance, highlighting the importance of model selection.
Conclusions:
- SXR tomography is a valuable tool for diagnosing MHD instabilities in fusion devices.
- Incorporating additional intersecting SXR lines of sight is crucial for improving diagnostic accuracy.
- The findings support the use of SXR tomography for validating fast ion interaction models in fusion research.
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