Reflections in Traveling Wave Tubes: Simulation Using the 1-D Time-Domain Hamiltonian Model DIMOHA With Experimental Validation

DIMOHA is a many-particle time-domain model offering a good balance between exhaustive physics and time efficiency. We apply this model to study the effects of defects and reflections in the slow wave structure (SWS) of a traveling wave tube (TWT). To assess DIMOHA’s validity, we set up a TWT with varying reflection coefficients at the tube’s end. A ripple effect in saturated output power with respect to frequency is measured and simulated self-consistently with a rough agreement.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2024-10-25
DOI
https://doi.org/10.1109/ted.2024.3474611
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
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article

Reflections in Traveling Wave Tubes: Simulation Using the 1-D Time-Domain Hamiltonian Model DIMOHA With Experimental Validation

Khalil Aliane, Yves Elskens, Frederic André
IEEE Transactions on Electron Devices
Numerical methods for differential equations
article

Reflections in Traveling Wave Tubes: Simulation Using the 1-D Time-Domain Hamiltonian Model DIMOHA With Experimental Validation

Khalil Aliane, Yves Elskens, Frederic André
article en

Abstract

DIMOHA is a many-particle time-domain model offering a good balance between exhaustive physics and time efficiency. We apply this model to study the effects of defects and reflections in the slow wave structure (SWS) of a traveling wave tube (TWT). To assess DIMOHA’s validity, we set up a TWT with varying reflection coefficients at the tube’s end. A ripple effect in saturated output power with respect to frequency is measured and simulated self-consistently with a rough agreement.

IEEE Transactions on Electron DevicesVol. 71(12)
Thales (Portugal) (PT), Centre National de la Recherche Scientifique (FR), Aix-Marseille Université (FR), Centre National d'Études Spatiales (FR), Thales (France) (FR)
Openalex Percentile: Top 73%
Numerical methods for differential equations
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