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[n] D. L. Bruhwiler, J. R. Cary, and S. G. Shasharina, “Object Oriented C++ Software Components for Accelerator Design”, in Proc. PAC'99, New York, NY, USA, Mar. 1999, paper WEDL6, pp. 369-371.
[n] C. Calzolaio et al., “Overview of permanent magnet implementations for advanced light sources”, presented at the IPAC'25, Taipei, Taiwan, Jun. 2025, paper MOZN1, unpublished.
[n] S. T. Sanfilippo, A. Anghel, C. Calzolaio, A. Gerbershagen, and J. M. Schippers, “Conceptual Design of Superconducting Combined-Function Magnets for the Next Generation of Beam Cancer Therapy Gantry”, in Proc. RuPAC'16, Saint Petersburg, Russia, Nov. 2016, pp. 139-141. doi:10.18429/JACoW-RUPAC2016-THCDMH01
[n] F. Zimmermann et al., “Review and Comparison of Simulation Codes Modeling Electron-Cloud Build Up and Instabilities”, in Proc. EPAC'04, Lucerne, Switzerland, Jul. 2004, paper THPLT017, pp. 2502-2504.
[n] R. Roussel et al., “Efficient 6-dimensional phase space reconstructions from experimental measurements using generative machine learning”, presented at the IPAC'24, Nashville, TN, USA, May 2024, paper TUPS73, unpublished.
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References
- D. L. Bruhwiler, J. R. Cary, and S. G. Shasharina, “Object Oriented C++ Software Components for Accelerator Design”, in Proc. 18th Particle Accelerator Conf. (PAC'99), New York, NY, USA, Mar. 1999, paper WEDL6, pp. 369-371.
- C. Calzolaio et al., “Overview of permanent magnet implementations for advanced light sources”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper MOZN1, this conference.
- S. T. Sanfilippo, A. Anghel, C. Calzolaio, A. Gerbershagen, and J. M. Schippers, “Conceptual Design of Superconducting Combined-Function Magnets for the Next Generation of Beam Cancer Therapy Gantry”, in Proc. 25th Russian Particle Accelerator Conf. (RuPAC'16), Saint Petersburg, Russia, Nov. 2016, pp. 139-141.
- F. Zimmermann et al., “Review and Comparison of Simulation Codes Modeling Electron-Cloud Build Up and Instabilities”, in Proc. 9th European Particle Accelerator Conf. (EPAC'04), Lucerne, Switzerland, Jul. 2004, paper THPLT017, pp. 2502-2504.
- R. Roussel et al., “Efficient 6-dimensional phase space reconstructions from experimental measurements using generative machine learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS73, unpublished.
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