2021
DOI: 10.1109/ted.2021.3120969
|View full text |Cite
|
Sign up to set email alerts
|

Many-Particle Models and Short-Pulse Amplification in Traveling Wave Tubes

Abstract: Many-particle time domain methods are rising alternatives to particle-in-cell or frequency methods to simulate the wave-beam interactions in traveling wave tubes. We focus on two of those: our Hamiltonian discrete model DIMOHA is compared analytically against the pseudospectral method RUBEUS. Although based on two completely different approaches -the Gel'fand transform for DIMOHA and the telegraphist circuit for RUBEUS-, we surprisingly find out that they share perfectly parallel sets of equations and variable… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…In terms of microexpression recognition based on spacetime motion information description, literature [19] detected and recognized microexpressions by constructing optical strain features and optical strain weighted features using facial optical strain. Literature [20] Euler image amplification was used to analyze the phase in the frequency domain and the amplitude in the time domain, to amplify the movement information of microexpression, eliminate irrelevant microexpression facial dynamics, and use LBP-TOP algorithm for feature extraction. Literature [21] proposed a facial dynamics map (FDM) method to characterize the sequence of microexpressions.…”
Section: Expression Feature Extractionmentioning
confidence: 99%
“…In terms of microexpression recognition based on spacetime motion information description, literature [19] detected and recognized microexpressions by constructing optical strain features and optical strain weighted features using facial optical strain. Literature [20] Euler image amplification was used to analyze the phase in the frequency domain and the amplitude in the time domain, to amplify the movement information of microexpression, eliminate irrelevant microexpression facial dynamics, and use LBP-TOP algorithm for feature extraction. Literature [21] proposed a facial dynamics map (FDM) method to characterize the sequence of microexpressions.…”
Section: Expression Feature Extractionmentioning
confidence: 99%
“…While this may seem a drawback compared with frequency models (for which a single point in the dispersion relation suffices), it is an advantage for the discrete model as it will enable broadband modelling (e.g. pulse propagation 44 ) and include harmonics in nonlinear regimes. This advantage was used [45][46][47] to investigate instabilities [48][49][50] at cutoff (near the edge of the transmission band) of TWTs where frequency models have difficulties to describe the situation.…”
Section: Wave Propagation With the Discrete Modelmentioning
confidence: 99%