| Autor: |
Carvalho, P. J., Thomsen, H., Gori, S., Toussaint, U. v., Geiger, J., Weller, A., Coelho, R., Fernandes, H. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 3/19/2008, Vol. 993 Issue 1, p167-170, 4p, 2 Graphs |
| Abstrakt: |
The Wendelstein 7-X stellarator, presently under construction in Greifswald, is foreseen to operate on a steady state regime. Under such a scenario, a constant diagnosis of the plasma characteristics is strongly envisaged. A X-Ray Tomography diagnostic is a particularly useful tool since a poloidal cross-section of the plasma's X-Ray emissivity can be reconstructed and the plasma's position as well as MHD activity can be inferred. Fast tomographic algorithms such as the Cormack inversion or neural networks (NN) can be applied to obtain recon-structions at a human time scale (10∼100 reconstructions per second). This paper discusses the potential application of these algorithms on the Wendelstein 7-X stellarator by comparing performance and reliability of the results. The NN reconstruction has proven to be faster and more reliable than the Cormack's. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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