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  4. Dataset for "First self-consistent simulations of trapped electron clouds in a gyrotron gun and comparison with experiments" - Physics of Plasmas 30, 030702 (2023)
 
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Dataset for "First self-consistent simulations of trapped electron clouds in a gyrotron gun and comparison with experiments" - Physics of Plasmas 30, 030702 (2023)

Le Bars, Guillaume Michel
•
Giroud-Garampon, Pierrick Paul Louis  
March 1, 2023
Zenodo

Dataset for the publication "First self-consistent simulations of trapped electron clouds in a gyrotron gun and comparison with experiments" - Physics of Plasmas 30, 030702 (2023) - https://doi.org/10.1063/5.0136340

Authors: G. Le Bars*,J. Loizu*, J.-Ph. Hogge*, S. Alberti*, F. Romano*, J. Genoud*, I. G. Pagonakis**

Affiliation: *Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), Lausanne, CH-1015, Switzerland

**ETH Zurich, Zurich, Laboratory of Physical Chemistry, CH-8093 Zurich, Switzerland

This publication report on the initial validation of the novel code FENNECS, which simulates the spontaneous formation of trapped electron clouds in coaxial geometries with strong externally applied azimuthal flows and in the presence of a residual neutral gas. For this purpose, a realistic gyrotron electron gun geometry is used in the code, and a self-consistent electron cloud build-up is simulated. The predicted electronic current resulting from these clouds that is collected on the gun electrodes is simulated and successfully compared with the previous experimental results for configurations with different externally applied electric and magnetic fields.

This dataset contains the data corresponding to each figure of the publication. These results were mainly obtained using the FENNECS code, which is publicly available at: https://ic-gitlab.epfl.ch/pgiroud/fennecs.git. The .fig files contain the plotted data and can be opened using MATLAB. The filenames are self-explanatory.

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