|TUPAF19||pyaopt Optimization Suite and its Applications to an SRF Cavity Design for UEMs||229|
Funding: DOE SBIR
In order to achieve sharp, high resolution real-time imaging, electrons in a MeV UEM (ultrafast electron microscope) beamline need to minimize instabilities. The Superconducting RF (SRF) photocathode gun is a promising candidate to produce highly stable electrons for UEM/UED applications. It operates in an ultrahigh Q, CW mode, and dissipates a few watts of RF power, which make it possible to achieve a 10s ppm level of beam stability by using modern RF control techniques. In order to find the best performance of the gun design, an optimization procedure is required. pyaopt is a Python-based optimization suite that supports multi-objective optimizations using advanced algorithms. In this paper, the novel SRF photogun design and its optimizations through pyaopt and Astra’s beam simulations will be discussed.
|DOI •||reference for this paper ※ https://doi.org/10.18429/JACoW-ICAP2018-TUPAF19|
|About •||paper received ※ 22 October 2018 paper accepted ※ 15 December 2018 issue date ※ 26 January 2019|
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