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Author: T. Pieloni


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Reference
L. van Riesen-Haupt and T. Pieloni, “Refining dynamic aperture calculations for highly damped accelerators: methods and applications to the FCC-ee”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOPM005, this conference.
Y. Wu, L. van Riesen-Haupt, M. Seidel, and T. Pieloni, “Preliminary simulations of resonant depolarization for precision energy calibration at FCC-ee”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOPM006, this conference.
J. Keintzel et al., “FCC-ee energy calibration and polarization - status and outlook”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOPM007, this conference.
L. Sabato, C. M. Garcia Jaimes, G. Iadarola, L. Mether, L. van Riesen-Haupt, and T. Pieloni, “Investigating electron cloud formation in FCC-ee nested magnet designs”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPS052, this conference.
C. Valerio-Lizárraga et al., “Preliminary results on the electron cloud build-up in the booster of the FCC-ee”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPS053, this conference.
L. Sabato, G. Iadarola, L. Mether, T. Pieloni, and M. Zobov, “Filling pattern with non-uniform bunch spacing to mitigate e-cloud for the FCC-ee”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPS051, this conference.
L. Sabato et al., “Electron cloud mitigation techniques for the FCC-ee”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPS050, this conference.
J. Wanczyk and T. Pieloni, “Optimizing beam-beam beta-beating for luminosity enhancement at the LHC”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPM018, this conference.
C. E. Montanari et al., “Advances in machine learning inference of dynamic aperture evaluation for the LHC”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPM062, this conference.


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