Enhanced multipactor statistical modeling for accurate threshold prediction with numerically tracking electron trajectories

Abstract

Multipactor statistical modeling is one vital theoretical treatment for both multipactor mechanism analysis and threshold prediction, but its practical application is still severely constrained due to its obstinate dependence on the electron trajectory formula. Hence, this paper proposes a novel and general implementation method to improve the feasibility and accuracy of one-dimensional (1D) multipactor statistical modeling, where the joint probability density function is constructed through numerically tracking electron trajectories. On that basis, better agreement with the experimental results is obtained for multipactor threshold predictions of coaxial lines than the classical statistical calculations adopting the approximate electron trajectory formula. Besides the accuracy improvement, this approach also makes multipactor statistical modeling regardless of the field complexity and thus applicable to investigating any one-dimensional multipactor problem in microwave devices. This research work can further popularize the application of multipactor statistical modeling and provide one highly sought treatment with both good accuracy and efficiency for the optimal design of multipactor-free microwave devices, thus further promoting the development of space communication capability.