• J. Dale, A. Reichold
  JAI, Oxford

The alignment of the next generation of linear accelerators will be much more critical than that of currently existing machines. This is especially true for very long machines with ultra low emittance beams; such as the ILC and CLIC. The design and study of such machines will require a large number of simulations. However; full simulation of misalignment currently requires computer programs which are very resource intensive. A model which can be used to rapidly generate reference networks with the required statistical properties will be presented. The results for emittance growth in the ILC main linac using the model with Dispersion Matched Steering (DMS) applied are also shown.

• N. Delerue, R. Bartolini, K.J. Peach, A. Reichold, R. Senanayake
  JAI, Oxford
• S.I. Bajlekov, L.S. Caballero-Bendixsen, T. Ibbotson
  University of Oxford, Clarendon Laboratory, Oxford
• N. Bourgeois, P.A. Walker
  University of Oxford, Oxford
• B. Buonomo, G. Mazzitelli
  INFN/LNF, Frascati (Roma)
• G. Doucas, S.M. Hooker, P. Lau, D. Urner
  OXFORDphysics, Oxford, Oxon
• C.A. Thomas
  Diamond, Oxfordshire

Funding: John Adams Institute, University of Oxford John Fell Fund, University of Oxford

We describe a method that uses a modified pepper-pot design to measure in a single shot the emittance of electron beams with energies above 100 MeV. Our setup consists of several thin layers of tantalum with spacers in between to leave slits through which the electron beam can be sampled. We report on a measurement done using this method at the DAΦNE BTF with a 508 MeV electron beam.

• A. Reichold, C. Uribe Estrada, D. Urner, S.Q. Yang
  OXFORDphysics, Oxford, Oxon
• P.J. Brockill, J. Dale, M. Jones, G.R. Moss, R. Wastie
  JAI, Oxford
• M. Schlösser
  DESY, Hamburg

Funding: work supported by STFC in the LC-ABD collaboration and by the Commission of the European Community, 6th Framework Programme, Structuring the European Research Area, contract number RIDS-011899

The Linear Collider Alignment and Survey group has completed experiments with a prototype robotic survey train for the ILC called the RTRS (Rapid Tunnel Reference Surveyor). Calibration of the RTRS is the most difficult part of data analysis, involving advanced mathematical methods to obtain constraint independent calibration parameters and errors. We show how sub-system data analysis provides input errors for the calibration process. We present the mathematical formalism used and results from the calibration of one of the three cars.