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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...

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Detalles Bibliográficos
Autores principales: Hoydalsvik, Eirik Jaccheri, Persson, Tobias Hakan Bjorn, Tomas Garcia, Rogelio
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2778887
Descripción
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.