32nd Linear Accelerator Conf. (LINAC'24)
32nd
Linear Accelerator Conference
Chicago, IL, USA, Aug. 2024
Published Aug 2024
ISBN 978-3-95-450219-6
ISSN 2226-0366
References
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Reference
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P. Gil, F. Perez, J. Benavides, J. Fernández, and P. Solans, “Status of the development of the new digital LLRF for ALBA Synchrotron Light facility”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB056, unpublished. |
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C.-K. Min, H.-S. Kang, H. Heo, I. Nam, and J. Hu, “Extremely stable operation of self-seeding FEL at PAL”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB049, unpublished. |
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E. Cosgun, S. H. Moon, D.-H. Kim, M. Chung, and M. S. Hur, “Design and simulation of Virtual Pepper-Pot method for low energy proton beam”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 820-823. |
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N. Kuklev, “Fast linac optics measurement with machine learning methods”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB003, unpublished. |
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V. Chouhan et al., “Transfer of EP and doping technology for PIP-II HB650 cavities from Fermilab to industry”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 685-688. |
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V. Chouhan, D. Smith, G. Wu, and T. Ring, “Study of mechanical grinding effects on niobium surface”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 689-691. |
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D. Dunning et al., “The UK XFEL conceptual design and options analysis project”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 754-757. |
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T. Aiazzi, D. Passarelli, L. Grassellino, and M. Parise, “Fabrication status of production SSR1 jacketed cavities for PIP-II at Fermilab”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 832-835. |
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A.-S. Chauchat, M. Collet, V. Le Flanchec, B. Fritsche, and M. Leukert, “1.6 MW, 144 MHz solid state power amplifier for ELSA electron linac”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB009, unpublished. |
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R. Roussel et al., “Efficient 6-dimensional phase space reconstructions from experimental measurements using generative machine learning”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper THPB065, unpublished. |
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