Sep 18 – 24, 2022
Hotel Hermitage, La Biodola Bay, Isola d'Elba, Italy
Europe/Rome timezone

Surrogate modelling of laser-plasma acceleration

Sep 21, 2022, 7:15 PM
Sala Elena - Hotel Hermitage

Sala Elena - Hotel Hermitage


Mr Manuel Kirchen (DESY)


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. Machine learning techniques could prove decisive in further understanding and improving the performance of these machines. Here, we discuss the application of supervised learning to create surrogate models of the LPA process at LUX. Using simulated and experimental data, we train artificial neural networks to predict the electron beam quality as a function of the drive laser properties. Of the many potential applications of such models, we emphasize their use to study the influence of laser fluctuations on the electron beam stability.

Primary author


Mr Sören Jalas (University of Hamburg) Ms Frida Brogren (DESY) Mr Andreas R. Maier (DESY)

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