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Author: M. Seidel


References



Reference
P. Kicsiny, X. Buffat, G. Iadarola, T. Pieloni, D. Schulte, and M. Seidel, “Benchmark and performance of beam-beam interaction models for XSUITE”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL063, pp. 686-689.
C. GARCIA JAIMES, L. van Riesen-Haupt, M. Seidel, R. Tomas, and T. Pieloni, “Impact of dipole quadrupolar errors in FCC-ee”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL065, pp. 694-697.
P. Kicsiny, X. Buffat, G. Iadarola, T. Pieloni, D. Schulte, and M. Seidel, “Bhabha scattering model for multi-turn tracking simulations at the FCC-ee”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL062, pp. 682-685.
R. Cai et al., “LHC crystal collimation tests with 6.8 Z TeV Pb beams”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPM120, pp. 2503-2506.
N. Vallis et al., “A positron source demonstrator for future colliders”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA086, pp. 1518-1521.
R. Dadashi Motlagh et al., “Dielectric laser acceleration for dark sector studies”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUODB2, pp. 1332-1334.
D. Di Croce, M. Giovannozzi, T. Pieloni, M. Seidel, and F. Van der Veken, “Accelerating dynamic aperture evaluation using deep neural networks”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA097, pp. 2870-2873.
G. Iadarola et al., “Xsuite: An Integrated Beam Physics Simulation Framework”, in Proc. HB'23 (HB), Geneva, Switzerland, Oct. 2023, paper TUA2I1, pp. 73-80.
M. Hartmann, D. C. Kiselev, D. Reggiani, M. Seidel, J. Snuverink, and H. Zhang, “Beam Loss Simulations for the Proposed TATTOOS Beamline at HIPA”, in Proc. HB'23 (HB), Geneva, Switzerland, Oct. 2023, paper WEA4C2, pp. 300-304.
D. Di Croce, M. Giovannozzi, E. Krymova, T. Pieloni, M. Seidel, and F. F. Van der Veken, “Optimizing Beam Dynamics in LHC with Active Deep Learning”, in Proc. HB'23 (HB), Geneva, Switzerland, Oct. 2023, paper THAFP09, pp. 422-425.


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