Cargando…
Evaluation of the closest tune approach and its MAD-X implementation
The closest tune approach (ΔQmin) is a measure of the transverse coupling in an accelerator. The current method for evaluating the ΔQmin in MAD-X based on tune matching is time consuming and can have issues with convergence. We first review existing analytical estimates of ΔQmin to assess their accur...
Autores principales: | , , |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2778887 |
Sumario: | The closest tune approach (ΔQmin) is a measure of the transverse coupling in an accelerator. The current method for evaluating the ΔQmin in MAD-X based on tune matching is time consuming and can have issues with convergence. We first review existing analytical estimates of ΔQmin to assess their accuracy. A new analytical estimate is also proposed, which features the best performance. This new estimate is included in version 5.07.01 of MAD-X. Correction of the transverse coupling based on the minimization of this new estimate shows improved performance in terms of resulting correction level and CPU time. |
---|