Publications

(2024). Reinforcement learning-trained optimisers and Bayesian optimisation for online particle accelerator tuning. Scientific Reports.

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(2024). Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simulations. Phys. Rev. Accel. Beams.

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(2023). Beam trajectory control with lattice-agnostic reinforcement learning. Proc. IPAC'23.

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(2023). Bayesian Optimization for SASE Tuning at the European XFEL. Proc. IPAC'23.

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(2023). Bayesian optimization of the beam injection process into a storage ring. Phys. Rev. Accel. Beams.

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(2022). Transverse and Longitudinal Modulation of Photoinjection Pulses at FLUTE. Proc. IPAC'22.

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(2022). Surrogate Modelling of the FLUTE Low-Energy Section. Proc. IPAC'22.

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(2022). Optimization Studies of Simulated THz Radiation at FLUTE. Proc. IPAC'22.

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(2021). Machine Learning Based Spatial Light Modulator Control for the Photoinjector Laser at FLUTE. Proc. IPAC'21.

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(2021). First Steps Toward an Autonomous Accelerator, a Common Project Between DESY and KIT. Proc. IPAC'21.

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