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LPA Online Workshop on Control Systems and Machine Learning

24.–27. Jan. 2022
Europe/Berlin Zeitzone
Timetable Timezone: Please select from dropdown menu to upper-right of page. Default is "Europe/Berlin".

This event is part of the Laser-Plasma Accelerator Seminars. Click here for more information, including data protection.

Sitzung

Experiments with in-situ analysis and active feedback control

25.01.2022, 16:00

Vorsitzende der Sitzung

Experiments with in-situ analysis and active feedback control

  • Scott Feister

Präsentationsmaterialien

Es gibt derzeit keine Materialien.

  1. 14. Data-driven insights and operation at LUX
    Manuel Kirchen (DESY)
    25.01.22, 16:15

    Laser-plasma acceleration (LPA) promises compact sources of high-brightness electron beams for science and industry. However, transforming LPA into a technology to drive real-world applications remains a challenge. In this talk, we discuss how the design and operational principles of the LUX experiment allow us to adopt data-driven approaches to understanding and improving the performance of...

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  2. 33. Enhanced Diagnostic Analysis through Deep Learning
    Derek Mariscal (Lawrence Livermore National Laboratory)
    25.01.22, 16:45

    Deep learning can be used to replace time-consuming diagnostic analysis. With further development, experimental data from high-rep-rate capable laser facilities can be analyzed accurately and at rates fast enough to enable self-driving experiments. The general process for developing neural networks for analyzing data from a proton beam diagnostic will be discussed.

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  3. 36. Control and Automation of Plasma Accelerators
    Rob Shalloo (DESY)
    25.01.22, 17:20
  4. 35. Utilizing high-repetition-rate capabilities with adaptive optical systems
    Dr. Jinpu Lin (University of Michigan / currently at: LMU Munich)
    25.01.22, 17:40

    Abstract: While the latest technologies have enabled unprecedented laser intensities, the highest energy laser facilities usually operate in single-shot mode, namely firing a few shots a day. On the other side, the development of laser systems with higher repetition rates but lower peak power is always of fundamental interest, particularly for applications. Applications of the particle beams...

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  5. 34. Gaussian Process Regression in Laser Plasma Experiments
    Matthew Streeter (Queen's University Belfast)
    25.01.22, 18:00
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