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| THPAN065 |
Beam Loss Map Simulations and Measurements in the CERN PS
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3372 |
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- J. Barranco, O. E. Berrig, S. S. Gilardoni, J. B. Jeanneret, Y. Papaphilippou
CERN, Geneva
- G. Robert-Demolaize
BNL, Upton, Long Island, New York
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Numerical tools providing detailed beam loss maps, recently developed for the design of the LHC collimation system, were adapted to the CERN Proton Synchrotron in order to reproduce the observed beam loss patterns. Using a MADX optics sequence model, these tools are able to track a large number of particles with Sixtrack and interact with a realistic aperture model to simulate particle losses all around the ring. The modeled loss maps were finally compared with beam loss measurements at several energies and for a variety of beams accelerated in the synchrotron.
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| FROAKI01 |
Magnet Acceptance and Allocation at the LHC Magnet Evaluation Board
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3739 |
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- L. Bottura, P. Bestmann, N. Catalan-Lasheras, S. D. Fartoukh, S. S. Gilardoni, M. Giovannozzi, J. B. Jeanneret, M. Karppinen, A. M. Lombardi, K. H. Mess, D. P. Missiaen, M. Modena, R. Ostojic, Y. Papaphilippou, P. Pugnat, S. Ramberger, S. Sanfilippo, W. Scandale, F. Schmidt, N. Siegel, A. P. Siemko, D. Tommasini, T. Tortschanoff, E. Y. Wildner
CERN, Geneva
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The normal- and superconducting magnets for the LHC ring have been carefully examined to insure that each of the more than 1800 assemblies is suitable for the operation in the accelerator. Magnet coordinators, hardware experts and accelerator physicists, joined in the LHC Magnet Evaluation Board, have contributed to this work that consists in the magnet acceptance, and the optimisation achieved by sorting magnets according to their geometry, field quality and quench level. This paper gives a description of the magnet approval mechanism that has been running since four years, reporting in a concise summary on the main results achieved. We take as specific indicators the computed mechanical aperture, the sorting efficiency with respect to systematic and random field errors in the magnets, and the case-by-case analysis necessary to accommodate hardware limitations such as quench limits and training.
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Slides
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