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Page |
| THPAN070 |
Advances in MAD-X using PTC
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3381 |
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- F. Schmidt, P. K. Skowronski
CERN, Geneva
- E. Forest
KEK, Ibaraki
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For the last few years the MAD-X program makes use of the Polymorphic Tracking Code (PTC) to perform calculations related to beam dynamics in the nonlinear regime. An important new feature is the extension of the matching module to allow fitting of non-linear parameters to any order. Moreover, calculations can now be performed with parameter dependence defined in the MAD-X input. In addition, the user can access the PTC routines for the placement of a magnet with arbitrary position and orientation. This facilitates the design of non-standard lattices, in particular since a 3D visualization of a lattice is now available. For the LHC studies during commissioning it is of special interest that one has access to within the thick PTC elements which allows e.g. to find PTC Twiss parameters at any point in the ring. Lastly, the beam-beam element has been added to PTC to complete the set of elements available in MAD-X proper.
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| THPAN071 |
LHC On-Line Modeling
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3384 |
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- F. Schmidt, W. Herr, G. Kruk, M. Lamont
CERN, Geneva
- I. V. Agapov
DESY, Hamburg
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The LHC machine will be a very demanding accelerator with large nonlinearities to control. Particle loss in the LHC must be actively controlled to avoid damage to the machine. Therefore any relevant adjustment to the machine must be checked beforehand with a proper modeling tool of the LHC. The LHC On-Line Modeling is an attempt to provide such an analysis tool mainly based on the MAD-X code. The goal is not to provide real-time system to control LHC but rather a way to speed up off-line analysis to give results within minutes. There will be a rich spectrum of applications like closed orbit corrections, beta-beating analysis, optimization of correctors and knob settings to name a few. This report will outline how in detail the On-Line Modeling will be in embedded in the LHC control system. It will also be reported about progress in applying this analysis tool to the SPS machine and to the commissioning of the CNGS.
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| THPAN104 |
Coupled Optics Reconstruction from TBT Data using MAD-X
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3471 |
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- Y. Alexahin, E. Gianfelice-Wendt
Fermilab, Batavia, Illinois
- V. V. Kapin
MEPhI, Moscow
- F. Schmidt
CERN, Geneva
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Funding: Work supported by the Universities Research Assoc., Inc., under contract DE-AC02-76CH03000 with the U. S. Dept. of Energy
Turn-by-turn BPM data provide immediate information on the coupledoptics functions at BPM locations. In the case of small deviations from the known (design) uncoupled optics some cognizance of the sources of perturbation, BPM calibration errors and tilts can also be inferred without detailed lattice modelling. In practical situations, however, fitting the lattice model with the help of some optics code would lead to more reliable results. We present an algorithm for coupled optics reconstruction from TBT data on the basis of MAD-X and give examples of its application for the Fermilab Tevatron and Booster accelerators.
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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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