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15th Int. Particle Accelerator Conf. (IPAC'24)

15th International Particle Accelerator Conference
Nashville, TN, USA, May 2024

Published Jul 2024
ISBN 978-3-95-450247-9
ISSN 2673-5490

References

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	Reference
	J. Lyles, J. Upadhyay, W. Hall, and M. Sanchez Barrueta, “Future directions for RF buncher at LANSCE proton storage ring”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS26, pp. 1687-1690.
	Y. Han, “The energy spread measurement for the CSNS linac”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS22, unpublished.
	N. Gambino et al., “Status of helium ion beams commissioning at MedAustron ion therapy center”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS06, pp. 1637-1640.
	M.-Y. Huang et al., “Commissioning of 160 kW beam power for the CSNS RCS”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS23, unpublished.
	A. Jakos, R. Modic, and R. Stefanic, “PulseOne, first FLASH-ready LINAC timing/trigger system”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS78, unpublished.
	M. Rahman, K. Iftekharuddin, A. Carpenter, and C. Tennant, “SRF cavity fault prediction using deep learning at Jefferson Lab”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS68, pp. 1831-1834.
	D. Ondreka, L. Bozyk, C. Graeff, P. Spiller, J. Stadlmann, and L. Volz, “Slow extraction of a dual-isotope beam from SIS18”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS29, pp. 1698-1701.
	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.
	C. Allen, C. McChesney, M. Davidsaver, and L. Dalesio, “A data science and machine learning platform supporting large particle accelerator control and diagnostics applications”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS71, pp. 1843-1845.
	J. Wan, S. Zhao, Y. Hao, W. Chang, and H. Ao, “Machine learning enabled model predictive control of the FRIB RFQ”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS57, pp. 1798-1799.

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