| Title |
pyaopt Optimization Suite and its Applications to an SRF Cavity Design for UEMs |
| Authors |
- A. Liu, P.V. Avrakhov, R.A. Kostin
Euclid TechLabs, LLC, Solon, Ohio, USA
- C.-J. Jing
Euclid Beamlabs LLC, Bolingbrook, USA
|
| Abstract |
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.
|
| Funding |
DOE SBIR |
| Paper |
download TUPAF19.PDF [1.257 MB / 4 pages] |
| Export |
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| Conference |
ICAP2018 |
| Series |
International Computational Accelerator Physics Conference (13th) |
| Location |
Key West, FL, USA |
| Date |
20-24 October 2018 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Volker RW Schaa (GSI, Darmstadt, Germany); Kyoko Makino (MSU, East Lansing, MI, USA); Pavel Snopok (IIT, Chicago, IL, USA); Martin Berz (MSU, East Lansing, MI, USA) |
| Online ISBN |
978-3-95450-200-4 |
| Received |
22 October 2018 |
| Accepted |
15 December 2018 |
| Issue Date |
04 May 2019 |
| DOI |
doi:10.18429/JACoW-ICAP2018-TUPAF19 |
| Copyright |
 Published by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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