Reconstruction of magnetic configurations in W7-X using artificial neural networks
Pisano, Fabio;
2018-01-01
Abstract
It is demonstrated that artificial neural networks can be used to accurately and efficiently predict details of the magnetic topology at the plasma edge of the Wendelstein 7-X stellarator, based on simulated as well as measured heat load patterns onto plasma-facing components observed with infrared cameras. The connection between heat load patterns and the magnetic topology is a challenging regression problem, but one that suits artificial neural networks well. The use of a neural network makes it feasible to analyze and control the plasma exhaust in real-time, an important goal for Wendelstein 7-X, and for magnetic confinement fusion research in general.File | Size | Format | |
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magn_reconstruction_nn_nf-reply.pdf Solo gestori archivio
Description: Articolo principale
Type: versione pre-print
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Böckenhoff_2018_Nucl._Fusion_58_056009.pdf Solo gestori archivio
Description: articolo
Type: versione editoriale
Size 3.29 MB
Format Adobe PDF
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3.29 MB | Adobe PDF | & nbsp; View / Open Request a copy |
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