Towards Real-time Programmable Laser-based Photoinjector Shaping for LCLS-II and Beyond
POSTER
Abstract
The next generation of high brightness X-ray free electron lasers (XFEL), such as SLAC’s LCLS-II, promises to address current challenges associated with systems with low X-ray cross-sections. A key component of XFELs is the photoinjector [1], which produces the electron beams (e-beams) whose phase-space determines the performance of the XFEL. Active e-beam manipulation techniques and diagnostics are required in order to fully capitalize on this new generation of XFELs. We examine a possible solution for adaptive e-beam shaping using a hardware-based machine learning implementation of real-time photoinjector laser manipulation. Our presentation will provide an overview of this project, the five-year goals, and the work both completed and currently underway, in particular simulations of the system and hardware design for the requisite real-time X-ray diagnostics. We anticipate this approach to not only enable active experimental control of X-ray pulse characteristics but also to increase the operational capacity of future e-beam sources and accelerator facilities.
1. Gilevich, Sasha, et al. "The LCLS-II Photo-Injector Drive Laser System." 2020 Conference on Lasers and Electro-Optics (CLEO). IEEE, 2020.
1. Gilevich, Sasha, et al. "The LCLS-II Photo-Injector Drive Laser System." 2020 Conference on Lasers and Electro-Optics (CLEO). IEEE, 2020.
Presenters
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Jack Hirschman
Stanford University
Authors
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Jack Hirschman
Stanford University
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Naoufal Layad
Stanford University
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Randy Lemons
SLAC - Natl Accelerator Lab, SLAC National Accelerator Laboratory
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Federico Belli
Heriot-Watt University
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Sergio Carbajo
SLAC - Natl Accelerator Lab, Stanford Univ, SLAC National Accelerator Laboratory
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Ryan N Coffee
SLAC - Natl Accelerator Lab, SLAC National Accelerator Laboratory