An Analytical Method to Evaluate the Spectrum of Multicarrier Multipactor Discharge

Yang, Haoran; Huang, Wei; Zeng, Biqing; Wen, He

doi:10.1109/ted.2021.3059808

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…In 2018, Zhang et al [148] conducted a numerical study on this topic for the two surface geometry and diagnosed passive intermodulation (PIM) interference caused by multipaction for two-frequency as well as four-frequency rf operations. In 2021, Yang et al [149] proposed an analytical method to evaluate the spectrum of rf noise caused by multicarrier multipactor discharge. They showed that in the first-order multipacting resonance ðN ¼ 1Þ, the odd harmonics ðf ; 3f ; 5f ; :::; nf Þ of the rf field are generated (Figure 17a), where f denotes the greatest common divisor of the carrier frequencies and n is a positive odd integer.…”

Section: Frequency Domain Analysismentioning

confidence: 99%

“…Frequency components of the (a) first and (b) third orders (N ¼ 1; N ¼ 3) two-surface multipactor discharge for two-frequency operation with carrier frequencies f 1 ¼ 1:5 GHz; f 2 ¼ 2:0 GHz [149]. The frequency for the multicarrier signal is the greatest common divisor of the carrier frequencies [48], that is, 0:5 GHz.…”

Section: Multipactor At Different Frequency Operationsmentioning

confidence: 99%

“…In 2021, Yang et al. [149] proposed an analytical method to evaluate the spectrum of rf noise caused by multicarrier multipactor discharge. They showed that in the first‐order multipacting resonance

(N=1)

, the odd harmonics

(f,3f,5f,...,nf)

of the rf field are generated (Figure 17a), where

f

denotes the greatest common divisor of the carrier frequencies and

n

is a positive odd integer.…”

Section: Recent Advances In Multipactor Prediction and Physicsmentioning

confidence: 99%

“… Frequency components of the (a) first and (b) third orders (

N=1,N=3

) two‐surface multipactor discharge for two‐frequency operation with carrier frequencies

{f}_{1}=1.5\,\mathrm{GHz},\,{f}_{2}=2.0\hspace*{.5em}\mathrm{GHz}

[149]. The frequency for the multicarrier signal is the greatest common divisor of the carrier frequencies [48], that is,

0.5\hspace*{.5em}\mathrm{GHz}

.…”

Section: Recent Advances In Multipactor Prediction and Physicsmentioning

confidence: 99%

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Recent advances in multipactor physics and mitigation

et al. 2023

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Recent progress made in the prediction, characterisation, and mitigation of multipactor discharge is reviewed for single‐ and two‐surface geometries. First, an overview of basic concepts including secondary electron emission, electron kinetics under the force law, multipactor susceptibility, and saturation mechanisms is provided, followed by a discussion on multipactor mitigation strategies. These strategies are categorised into two broad areas – mitigation by engineered devices and engineered radio frequency (rf) fields. Each approach is useful in different applications. Recent advances in multipactor physics and engineering during the past decade, such as novel multipactor prediction methods, understanding space charge effects, schemes for controlling multipacting particle trajectories, frequency domain analysis, high frequency effects, and impact on rf signal quality are presented. In addition to vacuum electron multipaction, multipactor‐induced ionization breakdown is also reviewed, and the recent advances are summarised.

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Section: Frequency Domain Analysismentioning

confidence: 99%

Section: Multipactor At Different Frequency Operationsmentioning

confidence: 99%

(N=1)

, the odd harmonics

(f,3f,5f,...,nf)

of the rf field are generated (Figure 17a), where

f

denotes the greatest common divisor of the carrier frequencies and

n

is a positive odd integer.…”

Section: Recent Advances In Multipactor Prediction and Physicsmentioning

confidence: 99%

“… Frequency components of the (a) first and (b) third orders (

N=1,N=3

) two‐surface multipactor discharge for two‐frequency operation with carrier frequencies

{f}_{1}=1.5\,\mathrm{GHz},\,{f}_{2}=2.0\hspace*{.5em}\mathrm{GHz}

[149]. The frequency for the multicarrier signal is the greatest common divisor of the carrier frequencies [48], that is,

0.5\hspace*{.5em}\mathrm{GHz}

.…”

Section: Recent Advances In Multipactor Prediction and Physicsmentioning

confidence: 99%

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Recent advances in multipactor physics and mitigation

et al. 2023

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“…These methods can play an important role in assessing the risk of multipacting and ensuring proper device design. However, due to the high costs of these experimental methods, the theoretical approaches 4,5,6 and the numerical studies 7 are predominantly used to predict the multipacting threshold and achieve optimal design of RF devices. So, the accuracy of multipacting threshold prediction may significantly affect the performance of RF devices.…”

Section: Introductionmentioning

confidence: 99%

Analysis of multipacting threshold sensitivity to the random distributions of the secondary electron yield parameters

Kazemi,

Mostajeran,

Romanov

2023

Preprint

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The way multipacting develops, depends strongly on the secondary emission property of the surface material. The knowledge of secondary electron yield is crucial for accurate prediction of the multipacting threshold. Variations in secondary electron yield parameters from experimental measurements create uncertainty, stemming from handling and surface preparation, and these uncertainties significantly affect multipacting threshold predictions. Despite their significance, the previous studies on the multipacting phenomenon did not adequately address the effect of an assumed random distribution of the secondary emission parameters on the multipacting threshold. Therefore, this paper aims to provide a comprehensive statistical study on how the different random distributions of the secondary emission parameters and, as a result, the uncertainty in the secondary electron yield affect multipacting thresholds. We focus on three commonly used distributions, namely uniform, normal, and truncated normal distributions, to define the uncertainty of random inputs. We use the chaos polynomial expansion method to determine how much each of the random parameters contributes to the multipacting threshold uncertainty. Additionally, we calculate Sobol sensitivity indices to evaluate the impact of the individual parameters or groups of parameters on the model outputs and study how different random distributions of these parameters affected the Sobol index results.

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