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Author: K. Sjobak


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Reference
P. Korysko et al., “The CLEAR user facility: a review of the experimental methods and future plans”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL141, pp. 876-879.
V. Rieker et al., “Beam instrumentation for real time FLASH dosimetry: experimental studies in the CLEAR facility”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPM060, pp. 5032-5035.
P. Drobniak et al., “Preliminary results from the CLEAR nonlinear plasma lens experiment”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOPS027, pp. 655-658.
E. Adli et al., “Updated baseline design for HALHF: the hybrid, asymmetric, linear Higgs factory”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOCD1, pp. 53-56.
E. Adli et al., “Transverse tolerances in the plasma-wakefield acceleration blow-out regime”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper TUPS011, pp. 1434-1437.
J. B. B. Chen et al., “ABEL: The adaptable beginning-to-end linac simulation framework”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper TUPS012, pp. 1438-1441.
C. A. Lindstrøm et al., “The SPARTA project: toward a demonstrator facility for multistage plasma acceleration”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper TUPS120, pp. 1615-1618.
F. Peña, E. Adli, P. Drobniak, D. Kalvik, C. A. Lindstrøm, and K. Sjobak, “Development of an achromatic spectrometer for a laser-wakefield-accelerator experiment”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper TUPM096, pp. 1383-1386.
A. Petersson et al., “Advanced beam tuning and beam measurements techniques in the CLEAR facility”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper TUPM026, pp. 1216-1219.
A. Gilardi et al., “Beam Energy Forecasting using Machine Learning at the CLEAR accelerator”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM031, pp. 2747-2750.


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