Numerical Studies on Locally Damped Structures

Physics – Accelerator Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

For LINAC2000 TUA05, 3 pages

Scientific paper

In the JLC/NLC X-band linear collider, it is essential to reduce the long-range dipole wakefields in the accelerator structure to prevent beam break up (BBU) and emittance degradation. The two methods of reducing the long-range wakefields are detuning and damping. Detuning reduces the wakefields rapidly as the dipole modes de-cohere but, with a finite number of modes, the wakefield will grow again as the modes re-cohere. In contrast, damping suppresses the wakefields at a longer distance. There are two principal damping schemes: synchronous damping using HOM manifolds such as that used in the RDDS1 structure and local damping similar to that used in the CLIC structure. In a locally damped scheme, one can obtain almost any Q value, however, the damping can have significant effects on the accelerating mode. In this paper, we present a medium local-damping scheme where the wakefields are controlled to meet the BBU requirement while minimizing the degradations of the fundamental rf parameters. We will address the load design and pulse heating issues associated with the medium damping scheme.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Numerical Studies on Locally Damped Structures does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Numerical Studies on Locally Damped Structures, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Numerical Studies on Locally Damped Structures will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-549540

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.