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Author: L. Scomparin


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Reference
A. Santamaria Garcia et al., “How Can Machine Learning Help Future Light Sources?”, in Proc. 67th ICFA Advanced Beam Dynamics Workshop on Future Light Sources (FLS'23), Luzern, Switzerland, Aug.-Sep. 2023, paper TH3D3, pp. 249-256.
A. Santamaria Garcia et al., “Systematic study of longitudinal excitations to influence the microbunching instability at KARA”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA018, pp. 2681-2684.
A. Santamaria Garcia et al., “The reinforcement learning for autonomous accelerators collaboration”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS62, this conference.
L. Scomparin et al., “A low-latency feedback system for the control of horizontal betatron oscillations”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL027, pp. 4479-4482.
L. Scomparin et al., “KINGFISHER: A Framework for Fast Machine Learning Inference for Autonomous Accelerator Systems”, in Proc. 11th Int. Beam Instrumentation Conference (IBIC'22), Kraków, Poland, Sep. 2022, pp. 151-155.
L. Scomparin et al., “Preliminary results on the reinforcement learning-based control of the microbunching instability”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS61, this conference.
S. Hirlaender et al., “Towards few-shot reinforcement learning in particle accelerator control”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS60, this conference.


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