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Author: J. Kaiser


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Reference
A. Eichler et al., “First Steps Toward an Autonomous Accelerator, a Common Project Between DESY and KIT”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2182-2185.
O. Stein, I. V. Agapov, A. Eichler, and J. Kaiser, “Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 2330-2333.
J. Kaiser, A. Eichler, S. Tomin, and Z. Zhu, “Machine learning for combined scalar and spectral longitudinal phase space reconstruction”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL019, pp. 4464-4467.
C. Xu, E. Bründermann, A. Eichler, J. Kaiser, A.-S. Mueller, and A. Santamaria Garcia, “Beam trajectory control with lattice-agnostic reinforcement learning”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL029, pp. 4487-4490.
S. Hirlaender et al., “Towards few-shot reinforcement learning in particle accelerator control”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS60, pp. 1804-1807.
A. Santamaria Garcia et al., “The reinforcement learning for autonomous accelerators collaboration”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS62, pp. 1812-1815.
A. Sulc et al., “Towards unlocking insights from logbooks using AI”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPR37, pp. 3579-3582.
H. Hähnel, A. Ates, B. Dedic, C. Wagner, J. Kaiser, and U. Ratzinger, “RF conditioning of an IH-DTL cavity made using additive manufacturing”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPR10, pp. 3501-3504.
J. Kaiser, A. Ates, and H. Hähnel, “Development of a compact RF coupler utilizing additive manufacturing”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 375-378.
R. Roussel et al., “Advancements in backwards differentiable beam dynamics simulations for accelerator design, model calibration, and machine learning”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 768-771.


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