FEbreak: A Comprehensive Diagnostic and Automated Conditioning Interface for Analysis of Breakdown and Dark Current Effects

12 Mar 2021, 15:00
30m
Online

Online

Speaker

Mitchell Schneider (Los Alamos National Laboratory)

Description

As breakdowns are a major concern in the use of vacuum electronics systems and DC/RF accelerators, there is a need then to be able to characterize these breakdowns and measure the probability rate during conditioning of these devices in real time [1,2]. This results in the need for a software that can automate the conditioning process. Such automation could allow for high accuracy calculations of the breakdown probabilities associated with the conditioning process which can be used to instruct the conditioning procedure without the need of human intervention or human error. This led to the development of FEbreak which is part of the FEmaster platform [3,4,5] and is a breakdown software module for statistics collection and conditioning automation. FEbreak directly interfaces with the rest of FEmaster to automate the data collection and data processing to not only analyze the breakdown probability but also the dark current effects associated with these high gradient structures. FEbreak uses a combination of Matlab and NI measurement studios to allow for a modular design that can be interfaced with the variety of diagnostics and can perform the breakdown analysis and controlling of klystron power with adjusted??? timeframe. At the moment, the diagnostics that are interfaced are the pressure controls, temperature controls, breakdown probability rate, and the Faraday cup current. A detailed concept and early results will be presented.

References:

[1] E. I. Simakov, V. Dolgashev, S. G. Tantawi, NIMA 907 221 (2019)

[2] D. Shiffler, S. Fairchild, W. Tang, B. Maruyama,K. Golby, M. LaCour, M. Pasquali, and N. Lockwood, IEEE Trans. Plasma Sci. 40, 1871 (2012)

[3] E. Jevarjian, M. Schneider, and S. V. Baryshev, arXiv:2009.13046

[4] T. Y. Posos, O. Chubenko, and S. V. Baryshev, arXiv:2012.03578

[5] M. Schneider, E. Jevarjian, J. Shao, and S. V. Baryshev, arXiv:2012.10804

Authors

Mitchell Schneider (Los Alamos National Laboratory) Ms Emily Jevarjian (Michigan State Universiry) Mr Ryan Fleming (Los Alamos National laboratory) Evgenya Simakov (Los Alamos National Laboratory) Sergey Baryshev Dr John Lewellen (Los Alamos National Laboratory) Dmitry Gorelov (University of Jyväskylä)

Presentation materials